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Autor SHA1 Mensagem Data
Evert Timberg f838fbe485 Fix doc titles 2016-03-26 10:26:57 -04:00
Evert Timberg 7d3bd4b7b0 Update docs 2016-03-24 19:57:55 -04:00
Evert Timberg b5ec7a1135 Fix for jekyll 3 2016-03-24 19:55:45 -04:00
Evert Timberg 7d524ffca0 Revert doc fixes 2016-03-24 18:59:12 -04:00
Evert Timberg f02b2cf5db Remove unnecessary redcarpet settings 2016-03-23 21:38:27 -04:00
Evert Timberg 57c2552821 Back to kramdown 2016-03-23 19:25:30 -04:00
etimberg 2fe169f9c6 go back to red carpet 2016-03-23 19:11:22 -04:00
etimberg 03ac436c3c Update docs in preparation for v2.0.0 2016-03-23 18:40:53 -04:00
Evert Timberg 3cf1095215 Update docs for v2 beta2 release 2015-12-28 08:28:25 -05:00
Evert Timberg f8b82ee43b Fix CSS for safari 2015-12-21 09:22:59 -05:00
Evert Timberg df5e345ca0 More v2 doc updates 2015-11-29 13:20:29 -05:00
Evert Timberg a882dffed8 Merge pull request #1694 from nnnick/v2-table-docs
Updated docs here based on latest docs from v2.0-dev branch
2015-11-24 18:55:13 -05:00
Evert Timberg e84d7bb609 Updated docs here based on latest docs from v2.0-dev branch 2015-11-24 18:52:31 -05:00
Evert Timberg 5ea763028b Merge pull request #1685 from nnnick/v2-table-docs
More table docs
2015-11-23 18:36:39 -05:00
Evert Timberg b58c45e6ff More table docs 2015-11-23 18:32:47 -05:00
Evert Timberg e5fc19d46b Merge pull request #1679 from nnnick/v2-table-docs
Updates v2 docs with initial table conversion
2015-11-23 18:26:00 -05:00
Evert Timberg 9a1d60c1c5 Little bit nicer button for mobile 2015-11-22 15:26:28 -05:00
Evert Timberg 596cc4de4d Updating with docs in table format. Added some initial CSS for the table. 2015-11-22 15:11:31 -05:00
Derek Perkins a09cf5a613 Merge pull request #1677 from nnnick/gh-pages-v2-docs
Initial V2 Docs for Site
2015-11-21 16:34:40 -07:00
Evert Timberg 962abec90a Make things nicer on Github Pages 2015-11-21 16:32:19 -05:00
Evert Timberg d978336e0e Initial doc parts for v2 docs. They are out of date. 2015-11-21 15:59:31 -05:00
Evert Timberg c42f2b5907 V2 docs page 2015-11-21 15:35:56 -05:00
Evert Timberg e451655884 Update gitignore to make it easier to switch between branches 2015-11-20 19:32:39 -05:00
William Entriken 49d23f5f56 hotfix: use relative URLs in case accessed from a subdirectory 2015-11-16 17:54:59 -05:00
William Entriken 18a1a2217e Merge pull request #1611 from nnnick/fix-1610
Create documentation gh-pages branch
2015-11-16 17:44:01 -05:00
William Entriken 72f0edbf06 use ruby version per https://github.com/github/pages-gem/blob/master/.ruby-version 2015-11-03 15:30:44 -05:00
William Entriken 552fcb567b use new Travis infrastructure per http://docs.travis-ci.com/user/migrating-from-legacy/ 2015-11-03 15:21:35 -05:00
William Entriken 2af6c30fd5 support custom domain per https://help.github.com/articles/adding-a-cname-file-to-your-repository/ 2015-11-03 15:18:06 -05:00
William Entriken 0126897526 Will's documentation policies 2015-11-03 15:13:54 -05:00
William Entriken 9ff153db75 use redcarpet 2015-11-03 15:05:12 -05:00
William Entriken a8fc520ae3 set up CI per https://help.github.com/articles/troubleshooting-github-pages-build-failures/ 2015-11-03 14:46:40 -05:00
William Entriken d3f7d77299 first discussion commit 2015-11-03 00:07:35 -05:00
William Entriken 81ed8c52eb First pages commit 2015-11-03 00:04:29 -05:00
110 arquivos alterados com 3845 adições e 24348 exclusões
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.DS_Store
node_modules/*
custom/*
docs/index.md
bower_components/
coverage/*
_site
node_modules
coverage
Gemfile.lock
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language: node_js
node_js:
- "0.11"
- "0.10"
before_install:
- "export DISPLAY=:99.0"
- "sh -e /etc/init.d/xvfb start"
before_script:
- npm install
script:
- gulp test
notifications:
slack: chartjs:pcfCZR6ugg5TEcaLtmIfQYuA
sudo: false
sudo: false
language: ruby
script: "bundle exec jekyll build"
rvm:
- 2.1.0
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www.chartjs.org
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Contributing to Chart.js
========================
Contributions to Chart.js are welcome and encouraged, but please have a look through the guidelines in this document before raising an issue, or writing code for the project.
Using issues
------------
The [issue tracker](https://github.com/nnnick/Chart.js/issues) is the preferred channel for reporting bugs, requesting new features and submitting pull requests.
If you're suggesting a new chart type, please take a look at [writing new chart types](https://github.com/nnnick/Chart.js/blob/master/docs/06-Advanced.md#writing-new-chart-types) in the documentation, and some of the [community extensions](https://github.com/nnnick/Chart.js/blob/master/docs/06-Advanced.md#community-extensions) that have been created already.
To keep the library lightweight for everyone, it's unlikely we'll add many more chart types to the core of Chart.js, but issues are a good medium to design and spec out how new chart types could work and look.
Please do not use issues for support requests. For help using Chart.js, please take a look at the [`chartjs`](http://stackoverflow.com/questions/tagged/chartjs) tag on Stack Overflow.
Reporting bugs
--------------
Well structured, detailed bug reports are hugely valuable for the project.
Guidlines for reporting bugs:
- Check the issue search to see if it has already been reported
- Isolate the problem to a simple test case
- Provide a demonstration of the problem on [JS Bin](http://jsbin.com) or similar
Please provide any additional details associated with the bug, if it's browser or screen density specific, or only happens with a certain configuration or data.
Pull requests
-------------
Clear, concise pull requests are excellent at continuing the project's community driven growth. But please review [these guidelines](https://github.com/blog/1943-how-to-write-the-perfect-pull-request) and the guidelines below before starting work on the project.
Guidlines:
- Please create an issue first:
- For bugs, we can discuss the fixing approach
- For enhancements, we can discuss if it is within the project scope and avoid duplicate effort
- Please make changes to the files in [`/src`](https://github.com/nnnick/Chart.js/tree/master/src), not `Chart.js` or `Chart.min.js` in the repo root directory, this avoids merge conflicts
- Tabs for indentation, not spaces please
- If adding new functionality, please also update the relevant `.md` file in [`/docs`](https://github.com/nnnick/Chart.js/tree/master/docs)
- Please make your commits in logical sections with clear commit messages
Joining the Project
-------------
- Active committers and contributors are invited to introduce yourself and request commit access to this project. Please send an email to hello@nickdownie.com or file an issue.
License
-------
By contributing your code, you agree to license your contribution under the [MIT license](https://github.com/nnnick/Chart.js/blob/master/LICENSE.md).
externo
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source 'https://rubygems.org'
gem 'github-pages', group: :jekyll_plugins
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Copyright (c) 2013-2015 Nick Downie
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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# Chart.js
About this branch
=================
[![Build Status](https://travis-ci.org/nnnick/Chart.js.svg?branch=v2.0-dev)](https://travis-ci.org/nnnick/Chart.js) [![Code Climate](https://codeclimate.com/github/nnnick/Chart.js/badges/gpa.svg)](https://codeclimate.com/github/nnnick/Chart.js)
This branch provides documentation for the Chart.js project. It is set up to
provide the hosting for <http://www.chartjs.org/>
Running and building locally
============================
*Simple HTML5 Charts using the canvas element* [chartjs.org](http://www.chartjs.org)
The documentation is written using Markdown and Jekyll. See GitHub's Jekyll
documentation at <https://help.github.com/articles/using-jekyll-with-pages/> and
see GitHub's `pages-gem` at <https://github.com/github/pages-gem> regarding how
to set up the identical build environment locally.
## v2.0 Beta
Syncing
=======
Current Release: [2.0.0-beta](https://github.com/nnnick/Chart.js/releases/tag/2.0.0-beta)
The next generation and release of Chart.js has been well under way this year and we are very close to releasing some amazing new features including, but not limited to:
- Rewritten, optimized, and unit-tested
- New and improved scales (log, time, linear, category, multiple scales)
- Improved responsiveness and resizing
- Powerful support for adding, removing, changing, and updating data on the fly
- Animations on all elements, colors and tooltips
- Powerful customization when you need it. Automatic and dynamic when you don't.
- Excellent support for modern frameworks and modular build systems.
- Even more extensible via new element controllers, combo chart support, and hook system
- Bug fixes not addressed in 1.x, and much, much more...
#####Contributing to 2.0
Submit PR's to the v2.0-dev branch.
#####Building and Testing
`gulp build`, `gulp test`
## v1.x Status: Feature Complete
We are now treating v1.x as feature complete. PR's for bug fixes are welcome, but we urge any open PR's for v1.x features to be refactored and resubmitted for v2.x (if the feature has not already been implemented).
## Documentation
You can find documentation at [chartjs.org/docs](http://www.chartjs.org/docs/). The markdown files that build the site are available under `/docs`. Please note - in some of the json examples of configuration you might notice some liquid tags - this is just for the generating the site html, please disregard.
## Bugs, issues and contributing
Before submitting an issue or a pull request to the project, please take a moment to look over the [contributing guidelines](https://github.com/nnnick/Chart.js/blob/master/CONTRIBUTING.md) first.
For support using Chart.js, please post questions with the [`chartjs` tag on Stack Overflow](http://stackoverflow.com/questions/tagged/chartjs).
## License
Chart.js is available under the [MIT license](http://opensource.org/licenses/MIT).
The contents of the `master` branch's `docs` directory should be copied to this
`gh-pages` branch's `_doc-parts` directory. Please submit a pull request to do
this whenever updating the `master` branch, unless the `master `branch is
preparing to make an alpha release.
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# Base URL to work with github pages
baseurl: /Chart.js
repository: nnnick/Chart.js
# Collections of files
collections:
doc-parts:
output: false
doc-parts-v2:
output: false
markdown: kramdown
future: true
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---
title: Getting started
anchor: getting-started
---
### Download Chart.js
To download a zip, go to the [Chart.js on Github](https://github.com/nnnick/Chart.js)
To install via npm / bower:
```bash
npm install chart.js --save
```
```bash
bower install Chart.js --save
```
CDN: https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.0.0/Chart.js
### Install Chart.js
To import Chart.js using an old-school script tag:
```html
<script src="Chart.js"></script>
<script>
var myChart = new Chart({...})
</script>
```
To import Chart.js using an awesome module loader:
```javascript
// Using CommonJS
var Chart = require('chart.js')
var myChart = new Chart({...})
// ES6
import Chart from 'chart.js'
let myChart = new Chart({...})
// Using requirejs
require(['path/to/Chartjs'], function(Chart){
var myChart = new Chart({...})
})
```
### Creating a Chart
To create a chart, we need to instantiate the `Chart` class. To do this, we need to pass in the node, jQuery instance, or 2d context of the canvas of where we want to draw the chart. Here's an example.
```html
<canvas id="myChart" width="400" height="400"></canvas>
```
```javascript
// Any of the following formats may be used
var ctx = document.getElementById("myChart");
var ctx = document.getElementById("myChart").getContext("2d");
var ctx = $("#myChart");
```
Once you have the element or context, you're ready to instantiate a pre-defined chart-type or create your own!
The following example instantiates a bar chart showing the number of votes for different colors and the y-axis starting at 0.
```html
<canvas id="myChart" width="400" height="400"></canvas>
<script>
var ctx = document.getElementById("myChart");
var myChart = new Chart(ctx, {
type: 'bar',
data: {
labels: ["Red", "Blue", "Yellow", "Green", "Purple", "Orange"],
datasets: [{
label: '# of Votes',
data: [12, 19, 3, 5, 2, 3]
}]
},
options: {
scales: {
yAxes: [{
ticks: {
beginAtZero:true
}
}]
}
}
});
</script>
```
It's that easy to get started using Chart.js! From here you can explore the many options that can help you customise your charts with scales, tooltips, labels, colors, custom actions, and much more.
### Global chart configuration
This concept was introduced in Chart.js 1.0 to keep configuration DRY, and allow for changing options globally across chart types, avoiding the need to specify options for each instance, or the default for a particular chart type.
Chart.js merges configurations and options in a few places with the global defaults using chart type defaults and scales defaults. This way you can be as specific as you want in your individual chart configs, or change the defaults for Chart.js as a whole.
The global options are defined in `Chart.defaults.global`.
Name | Type | Default | Description
--- | --- | --- | ---
responsive | Boolean | true | Resizes when the canvas container does.
responsiveAnimationDuration | Number | 0 | Duration in milliseconds it takes to animate to new size after a resize event.
maintainAspectRatio | Boolean | true | Maintain the original canvas aspect ratio `(width / height)` when resizing
events | Array[String] | `["mousemove", "mouseout", "click", "touchstart", "touchmove", "touchend"]` | Events that the chart should listen to for tooltips and hovering
hover |-|-|-
*hover*.onHover | Function | null | Called when any of the events fire. Called in the context of the chart and passed an array of active elements (bars, points, etc)
*hover*.mode | String | 'single' | Sets which elements hover. Acceptable options are `'single'`, `'label'`, or `'dataset'`. `single` highlights the closest element. `label` highlights elements in all datasets at the same `X` value. `dataset` highlights the closest dataset.
*hover*.animationDuration | Number | 400 | Duration in milliseconds it takes to animate hover style changes
onClick | Function | null | Called if the event is of type 'mouseup' or 'click'. Called in the context of the chart and passed an array of active elements
defaultColor | Color | 'rgba(0,0,0,0.1)' |
defaultFontColor | Color | '#666' | Default font color for all text
defaultFontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" | Default font family for all text
defaultFontSize | Number | 12 | Default font size (in px) for text. Does not apply to radialLinear scale point labels
defaultFontStyle | String | 'normal' | Default font style. Does not apply to tooltip title or footer. Does not apply to chart title
legendCallback | Function | ` function (chart) { }` | Function to generate a legend. Receives the chart object to generate a legend from. Default implementation returns an HTML string.
The global options for the chart title is defined in `Chart.defaults.global.title`
Name | Type | Default | Description
--- | --- | --- | ---
display | Boolean | true | Show the title block
position | String | 'top' | Position of the title. 'top' or 'bottom' are allowed
fullWidth | Boolean | true | Marks that this box should take the full width of the canvas (pushing down other boxes)
fontColor | Color | '#666' | Text color
fontFamily | String | 'Helvetica Neue' |
fontSize | Number | 12 |
fontStyle | String | 'bold' |
padding | Number | 10 | Number of pixels to add above and below the title text
text | String | '' | Title text
The global options for the chart legend is defined in `Chart.defaults.global.legend`
Name | Type | Default | Description
--- | --- | --- | ---
display | Boolean | true | Is the legend displayed
position | String | 'top' | Position of the legend. Options are 'top' or 'bottom'
fullWidth | Boolean | true | Marks that this box should take the full width of the canvas (pushing down other boxes)
onClick | Function | `function(event, legendItem) {}` | A callback that is called when a click is registered on top of a label item
labels |-|-|-
*labels*boxWidth | Number | 40 | Width of coloured box
*labels*fontSize | Number | 12 | Font size
*labels*fontStyle | String | "normal" |
*labels*fontColor | Color | "#666" |
*labels*fontFamily | String | "Helvetica Neue" |
*labels*padding | Number | 10 | Padding between rows of colored boxes
*labels*generateLabels: | Function | `function(data) { }` | Generates legend items for each thing in the legend. Default implementation returns the text + styling for the color box. Styles that can be returned are `fillStyle`, `strokeStyle`, `lineCap`, `lineDash`, `lineDashOffset`, `lineWidth`, `lineJoin`. Return a `hidden` attribute to indicate that the label refers to something that is not visible. A strikethrough style will be given to the text in this case.
The global options for tooltips are defined in `Chart.defaults.global.tooltips`.
Name | Type | Default | Description
--- |:---:| --- | ---
enabled | Boolean | true |
custom | | null |
mode | String | 'single' | Sets which elements appear in the tooltip. Acceptable options are `'single'` or `'label'`. `single` highlights the closest element. `label` highlights elements in all datasets at the same `X` value.
backgroundColor | Color | 'rgba(0,0,0,0.8)' | Background color of the tooltip
| | |
Label | | | There are three labels you can control. `title`, `body`, `footer` the star (\*) represents one of these three. *(i.e. titleFontFamily, footerSpacing)*
\*FontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" |
\*FontSize | Number | 12 |
\*FontStyle | String | title - "bold", body - "normal", footer - "bold" |
\*Spacing | Number | 2 |
\*Color | Color | "#fff" |
\*Align | String | "left" | text alignment. See [MDN Canvas Documentation](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/textAlign)
titleMarginBottom | Number | 6 | Margin to add on bottom of title section
footerMarginTop | Number | 6 | Margin to add before drawing the footer
xPadding | Number | 6 | Padding to add on left and right of tooltip
yPadding | Number | 6 | Padding to add on top and bottom of tooltip
caretSize | Number | 5 | Size, in px, of the tooltip arrow
cornerRadius | Number | 6 | Radius of tooltip corner curves
multiKeyBackground | Color | "#fff" | Color to draw behind the colored boxes when multiple items are in the tooltip
| | |
callbacks | - | - | V2.0 introduces callback functions as a replacement for the template engine in v1. The tooltip has the following callbacks for providing text. For all functions, 'this' will be the tooltip object create from the Chart.Tooltip constructor
**Callback Functions** | | | All functions are called with the same arguments
xLabel | String or Array[Strings] | | This is the xDataValue for each item to be displayed in the tooltip
yLabel | String or Array[Strings] | | This is the yDataValue for each item to be displayed in the tooltip
index | Number | | Data index.
data | Object | | Data object passed to chart.
`return`| String or Array[Strings] | | All functions must return either a string or an array of strings. Arrays of strings are treated as multiple lines of text.
| | |
*callbacks*.beforeTitle | Function | none | Text to render before the title
*callbacks*.title | Function | `function(tooltipItems, data) { //Pick first xLabel }` | Text to render as the title
*callbacks*.afterTitle | Function | none | Text to render after the ttiel
*callbacks*.beforeBody | Function | none | Text to render before the body section
*callbacks*.beforeLabel | Function | none | Text to render before an individual label
*callbacks*.label | Function | `function(tooltipItem, data) { // Returns "datasetLabel: tooltipItem.yLabel" }` | Text to render as label
*callbacks*.afterLabel | Function | none | Text to render after an individual label
*callbacks*.afterBody | Function | none | Text to render after the body section
*callbacks*.beforeFooter | Function | none | Text to render before the footer section
*callbacks*.footer | Function | none | Text to render as the footer
*callbacks*.afterFooter | Function | none | Text to render after the footer section
The global options for animations are defined in `Chart.defaults.global.animation`.
Name | Type | Default | Description
--- |:---:| --- | ---
duration | Number | 1000 | The number of milliseconds an animation takes.
easing | String | "easeOutQuart" | Easing function to use.
onProgress | Function | none | Callback called on each step of an animation. Passed a single argument, an object, containing the chart instance and an object with details of the animation.
onComplete | Function | none | Callback called at the end of an animation. Passed the same arguments as `onProgress`
The global options for elements are defined in `Chart.defaults.global.elements`.
Name | Type | Default | Description
--- |:---:| --- | ---
arc | - | - | -
*arc*.backgroundColor | Color | `Chart.defaults.global.defaultColor` | Default fill color for arcs
*arc*.borderColor | Color | "#fff" | Default stroke color for arcs
*arc*.borderWidth | Number | 2 | Default stroke width for arcs
line | - | - | -
*line*.tension | Number | 0.4 | Default bezier curve tension. Set to `0` for no bezier curves.
*line*.backgroundColor | Color | `Chart.defaults.global.defaultColor` | Default line fill color
*line*.borderWidth | Number | 3 | Default line stroke width
*line*.borderColor | Color | `Chart.defaults.global.defaultColor` | Default line stroke color
*line*.borderCapStyle | String | 'butt' | Default line cap style. See [MDN](https://developer.mozilla.org/en/docs/Web/API/CanvasRenderingContext2D/lineCap)
*line*.borderDash | Array | `[]` | Default line dash. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/setLineDash)
*line*.borderDashOffset | Number | 0.0 | Default line dash offset. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineDashOffset)
*line*.borderJoinStyle | String | 'miter' | Default line join style. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineJoin)
*line*.fill | Boolean | true |
point | - | - | -
*point*.radius | Number | 3 | Default point radius
*point*.pointStyle | String | 'circle' | Default point style
*point*.backgroundColor | Color | `Chart.defaults.global.defaultColor` | Default point fill color
*point*.borderWidth | Number | 1 | Default point stroke width
*point*.borderColor | Color | `Chart.defaults.global.defaultColor` | Default point stroke color
*point*.hitRadius | Number | 1 | Extra radius added to point radius for hit detection
*point*.hoverRadius | Number | 4 | Default point radius when hovered
*point*.hoverBorderWidth | Number | 1 | Default stroke width when hovered
rectangle | - | - | -
*rectangle*.backgroundColor | Color | `Chart.defaults.global.defaultColor` | Default bar fill color
*rectangle*.borderWidth | Number | 0 | Default bar stroke width
*rectangle*.borderColor | Color | `Chart.defaults.global.defaultColor` | Default bar stroke color
*rectangle*.borderSkipped | String | 'bottom' | Default skipped (excluded) border for rectangle. Can be one of `bottom`, `left`, `top`, `right`
If for example, you wanted all charts created to be responsive, and resize when the browser window does, the following setting can be changed:
```javascript
Chart.defaults.global.responsive = true;
```
Now, every time we create a chart, `options.responsive` will be `true`.
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---
title: Scales
anchor: scales
---
Scales in v2.0 of Chart.js are significantly more powerful, but also different than those of v1.0.
* Multiple x & y axes are now supported.
* A built-in label auto-skip feature now detects would-be overlapping ticks and labels and removes every nth label to keep things displaying normally.
* Scale titles are now supported
* New scale types can be extended without writing an entirely new chart type
Every scale extends a core scale class with the following options:
Name | Type | Default | Description
--- |:---:| --- | ---
type | String | Chart specific. | Type of scale being employed. Custom scales can be created and registered with a string key. Options: ["category"](#scales-category-scale), ["linear"](#scales-linear-scale), ["logarithmic"](#scales-logarithmic-scale), ["time"](#scales-time-scale), ["radialLinear"](#scales-radial-linear-scale)
display | Boolean | true | If true, show the scale including gridlines, ticks, and labels. Overrides *gridLines.display*, *scaleLabel.display*, and *ticks.display*.
beforeUpdate | Function | undefined | Callback called before the update process starts. Passed a single argument, the scale instance.
beforeSetDimensions | Function | undefined | Callback that runs before dimensions are set. Passed a single argument, the scale instance.
afterSetDimensions | Function | undefined | Callback that runs after dimensions are set. Passed a single argument, the scale instance.
beforeDataLimits | Function | undefined | Callback that runs before data limits are determined. Passed a single argument, the scale instance.
afterDataLimits | Function | undefined | Callback that runs after data limits are determined. Passed a single argument, the scale instance.
beforeBuildTicks | Function | undefined | Callback that runs before ticks are created. Passed a single argument, the scale instance.
afterBuildTicks | Function | undefined | Callback that runs after ticks are created. Useful for filtering ticks. Passed a single argument, the scale instance.
beforeTickToLabelConversion | Function | undefined | Callback that runs before ticks are converted into strings. Passed a single argument, the scale instance.
afterTickToLabelConversion | Function | undefined | Callback that runs after ticks are converted into strings. Passed a single argument, the scale instance.
beforeCalculateTickRotation | Function | undefined | Callback that runs before tick rotation is determined. Passed a single argument, the scale instance.
afterCalculateTickRotation | Function | undefined | Callback that runs after tick rotation is determined. Passed a single argument, the scale instance.
beforeFit | Function | undefined | Callback that runs before the scale fits to the canvas. Passed a single argument, the scale instance.
afterFit | Function | undefined | Callback that runs after the scale fits to the canvas. Passed a single argument, the scale instance.
afterUpdate | Function | undefined | Callback that runs at the end of the update process. Passed a single argument, the scale instance.
**gridLines** | Array | - | Options for the grid lines that run perpendicular to the axis.
*gridLines*.display | Boolean | true |
*gridLines*.color | Color | "rgba(0, 0, 0, 0.1)" | Color of the grid lines.
*gridLines*.lineWidth | Number | 1 | Stroke width of grid lines
*gridLines*.drawOnChartArea | Boolean | true | If true, draw lines on the chart area inside the axis lines. This is useful when there are multiple axes and you need to control which grid lines are drawn
*gridLines*.drawTicks | Boolean | true | If true, draw lines beside the ticks in the axis area beside the chart.
*gridLines*.zeroLineWidth | Number | 1 | Stroke width of the grid line for the first index (index 0).
*gridLines*.zeroLineColor | Color | "rgba(0, 0, 0, 0.25)" | Stroke color of the grid line for the first index (index 0).
*gridLines*.offsetGridLines | Boolean | false | If true, offset labels from grid lines.
**scaleLabel** | Array | | Title for the entire axis.
*scaleLabel*.display | Boolean | false |
*scaleLabel*.labelString | String | "" | The text for the title. (i.e. "# of People", "Response Choices")
*scaleLabel*.fontColor | Color | "#666" | Font color for the scale title.
*scaleLabel*.fontFamily| String | "Helvetica Neue" | Font family for the scale title, follows CSS font-family options.
*scaleLabel*.fontSize | Number | 12 | Font size for the scale title.
*scaleLabel*.fontStyle | String | "normal" | Font style for the scale title, follows CSS font-style options (i.e. normal, italic, oblique, initial, inherit).
**ticks** | Array | | Settings for the labels that run along the axis.
*ticks*.beginAtZero | Boolean | false | If true the scale will be begin at 0, if false the ticks will begin at your smallest data value.
*ticks*.fontColor | Color | "#666" | Font color for the tick labels.
*ticks*.fontFamily | String | "Helvetica Neue" | Font family for the tick labels, follows CSS font-family options.
*ticks*.fontSize | Number | 12 | Font size for the tick labels.
*ticks*.fontStyle | String | "normal" | Font style for the tick labels, follows CSS font-style options (i.e. normal, italic, oblique, initial, inherit).
*ticks*.maxRotation | Number | 90 | Maximum rotation for tick labels when rotating to condense labels. Note: Rotation doesn't occur until necessary. *Note: Only applicable to horizontal scales.*
*ticks*.minRotation | Number | 20 | *currently not-implemented* Minimum rotation for tick labels when condensing is necessary. *Note: Only applicable to horizontal scales.*
*ticks*.maxTicksLimit | Number | 11 | Maximum number of ticks and gridlines to show. If not defined, it will limit to 11 ticks but will show all gridlines.
*ticks*.padding | Number | 10 | Padding between the tick label and the axis. *Note: Only applicable to horizontal scales.*
*ticks*.mirror | Boolean | false | Flips tick labels around axis, displaying the labels inside the chart instead of outside. *Note: Only applicable to vertical scales.*
*ticks*.reverse | Boolean | false | Reverses order of tick labels.
*ticks*.display | Boolean | true | If true, show the ticks.
*ticks*.suggestedMin | Number | - | User defined minimum number for the scale, overrides minimum value *except for if* it is higher than the minimum value.
*ticks*.suggestedMax | Number | - | User defined maximum number for the scale, overrides maximum value *except for if* it is lower than the maximum value.
*ticks*.min | Number | - | User defined minimum number for the scale, overrides minimum value
*ticks*.max | Number | - | User defined minimum number for the scale, overrides maximum value
*ticks*.autoSkip | Boolean | true | If true, automatically calculates how many labels that can be shown and hides labels accordingly. Turn it off to show all labels no matter what
*ticks*.callback | Function | `function(value) { return '' + value; } ` | Returns the string representation of the tick value as it should be displayed on the chart.
The `callback` method may be used for advanced tick customization. The following callback would display every label in scientific notation
```javascript
{
scales: {
xAxes: [{
ticks: {
// Return an empty string to draw the tick line but hide the tick label
// Return `null` or `undefined` to hide the tick line entirely
userCallback: function(value, index, values) {
return value.toExponential();
}
}
}]
}
}
```
### Category Scale
The category scale will be familiar to those who have used v1.0. Labels are drawn in from the labels array included in the chart data.
The category scale extends the core scale class with the following tick template:
```javascript
{
position: "bottom",
}
```
### Linear Scale
The linear scale can be used to display numerical data. It can be placed on either the x or y axis. The scatter chart type automatically configures a line chart to use one of these scales for the x axis.
The linear scale extends the core scale class with the following tick template:
```javascript
{
position: "left",
ticks: {
callback: function(tickValue, index, ticks) {
var delta = ticks[1] - ticks[0];
// If we have a number like 2.5 as the delta, figure out how many decimal places we need
if (Math.abs(delta) > 1) {
if (tickValue !== Math.floor(tickValue)) {
// not an integer
delta = tickValue - Math.floor(tickValue);
}
}
var logDelta = helpers.log10(Math.abs(delta));
var tickString = '';
if (tickValue !== 0) {
var numDecimal = -1 * Math.floor(logDelta);
numDecimal = Math.max(Math.min(numDecimal, 20), 0); // toFixed has a max of 20 decimal places
tickString = tickValue.toFixed(numDecimal);
} else {
tickString = '0'; // never show decimal places for 0
}
return tickString;
}
}
}
```
It also provides additional configuration options:
Name | Type | Default | Description
--- |:---:| --- | ---
*ticks*.stepSize | Number | - | User defined fixed step size for the scale. If set, the scale ticks will be enumerated by multiple of stepSize, having one tick per increment. If not set, the ticks are labeled automatically using the nice numbers algorithm.
### Logarithmic Scale
The logarithmic scale is used to display logarithmic data of course. It can be placed on either the x or y axis.
The log scale extends the core scale class with the following tick template:
```javascript
{
position: "left",
ticks: {
callback: function(value) {
var remain = value / (Math.pow(10, Math.floor(Chart.helpers.log10(value))));
if (remain === 1 || remain === 2 || remain === 5) {
return value.toExponential();
} else {
return '';
}
}
}
}
```
### Time Scale
The time scale is used to display times and dates. It can be placed on the x axis. When building its ticks, it will automatically calculate the most comfortable unit base on the size of the scale.
The time scale extends the core scale class with the following tick template:
```javascript
{
position: "bottom",
time: {
// string/callback - By default, date objects are expected. You may use a pattern string from http://momentjs.com/docs/#/parsing/string-format/ to parse a time string format, or use a callback function that is passed the label, and must return a moment() instance.
parser: false,
// string - By default, unit will automatically be detected. Override with 'week', 'month', 'year', etc. (see supported time measurements)
unit: false,
// Number - The number of steps of the above unit between ticks
unitStepSize: 1
// string - By default, no rounding is applied. To round, set to a supported time unit eg. 'week', 'month', 'year', etc.
round: false,
// Moment js for each of the units. Replaces `displayFormat`
// To override, use a pattern string from http://momentjs.com/docs/#/displaying/format/
displayFormats: {
'millisecond': 'SSS [ms]',
'second': 'h:mm:ss a', // 11:20:01 AM
'minute': 'h:mm:ss a', // 11:20:01 AM
'hour': 'MMM D, hA', // Sept 4, 5PM
'day': 'll', // Sep 4 2015
'week': 'll', // Week 46, or maybe "[W]WW - YYYY" ?
'month': 'MMM YYYY', // Sept 2015
'quarter': '[Q]Q - YYYY', // Q3
'year': 'YYYY', // 2015
},
// Sets the display format used in tooltip generation
tooltipFormat: ''
},
}
```
The following time measurements are supported:
```javascript
{
'millisecond': {
display: 'SSS [ms]', // 002 ms
maxStep: 1000,
},
'second': {
display: 'h:mm:ss a', // 11:20:01 AM
maxStep: 60,
},
'minute': {
display: 'h:mm:ss a', // 11:20:01 AM
maxStep: 60,
},
'hour': {
display: 'MMM D, hA', // Sept 4, 5PM
maxStep: 24,
},
'day': {
display: 'll', // Sep 4 2015
maxStep: 7,
},
'week': {
display: 'll', // Week 46, or maybe "[W]WW - YYYY" ?
maxStep: 4.3333,
},
'month': {
display: 'MMM YYYY', // Sept 2015
maxStep: 12,
},
'quarter': {
display: '[Q]Q - YYYY', // Q3
maxStep: 4,
},
'year': {
display: 'YYYY', // 2015
maxStep: false,
},
}
```
### Radial Linear Scale
The radial linear scale is used specifically for the radar chart type.
The radial linear scale extends the core scale class with the following tick template:
```javascript
{
animate: true,
lineArc: false,
position: "chartArea",
angleLines: {
display: true,
color: "rgba(0, 0, 0, 0.1)",
lineWidth: 1
},
// label settings
ticks: {
//Boolean - Show a backdrop to the scale label
showLabelBackdrop: true,
//String - The colour of the label backdrop
backdropColor: "rgba(255,255,255,0.75)",
//Number - The backdrop padding above & below the label in pixels
backdropPaddingY: 2,
//Number - The backdrop padding to the side of the label in pixels
backdropPaddingX: 2,
//Number - Limit the maximum number of ticks and gridlines
maxTicksLimit: 11,
},
pointLabels: {
//String - Point label font declaration
fontFamily: "'Arial'",
//String - Point label font weight
fontStyle: "normal",
//Number - Point label font size in pixels
fontSize: 10,
//String - Point label font colour
fontColor: "#666",
//Function - Used to determine point labels to show in scale
callback: function(pointLabel) {
return pointLabel;
}
},
}
```
@@ -2,7 +2,7 @@
title: Line Chart
anchor: line-chart
---
###Introduction
### Introduction
A line chart is a way of plotting data points on a line.
Often, it is used to show trend data, and the comparison of two data sets.
@@ -11,11 +11,11 @@ Often, it is used to show trend data, and the comparison of two data sets.
<canvas width="250" height="125"></canvas>
</div>
###Example usage
### Example usage
```javascript
var myLineChart = new Chart(ctx, {
type: 'line',
data: data,
data: data,
options: options
});
```
@@ -23,11 +23,11 @@ var myLineChart = new Chart(ctx, {
Alternatively a line chart can be created using syntax similar to the v1.0 syntax
```javascript
var myLineChart = Chart.Line(ctx, {
data: data,
data: data,
options: options
});
```
###Data structure
### Data structure
```javascript
var data = {
@@ -80,11 +80,14 @@ var data = {
// Number or array - border width of point when hovered
pointHoverBorderWidth: 2,
// Tension - bezier curve tension of the line. Set to 0 to draw straight Wlines connecting points
tension: 0.1,
// The actual data
data: [65, 59, 80, 81, 56, 55, 40],
// String - If specified, binds the dataset to a certain y-axis. If not specified, the first y-axis is used.
yAxisID: "y-axis-1",
// String - If specified, binds the dataset to a certain y-axis. If not specified, the first y-axis is used. First id is y-axis-0
yAxisID: "y-axis-0",
},
{
label: "My Second dataset",
@@ -104,7 +107,7 @@ var data = {
};
```
The line chart requires an array of labels for each of the data points. This is shown on the X axis.
The line chart requires an array of labels. This labels are shown on the X axis. There must be one label for each data point. More labels than datapoints are allowed, in which case the line ends at the last data point.
The data for line charts is broken up into an array of datasets. Each dataset has a colour for the fill, a colour for the line and colours for the points and strokes of the points. These colours are strings just like CSS. You can use RGBA, RGB, HEX or HSL notation.
The label key on each dataset is optional, and can be used when generating a scale for the chart.
@@ -113,37 +116,23 @@ The label key on each dataset is optional, and can be used when generating a sca
These are the customisation options specific to Line charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
```javascript
{
// Boolean - if true, line stack on top of each other along the y axis
stacked: false,
The default options for line chart are defined in `Chart.defaults.Line`.
hover: {
// String - We use a label hover mode since the x axis displays data by the index in the dataset
mode: "label"
},
scales: {
// Defines all of the x axes used in the chart. See the [scale documentation](#getting-started-scales) for details on the available options
xAxes: [{
// String - type of scale. Built in types are 'category' and 'linear'
type: 'category',
// String - id of the axis so that data can bind to it
id: "x-axis-1", // need an ID so datasets can reference the scale
}],
// Defines all of the y axes used in the chart.
// By default, the line chart uses a linear scale along the y axis
yAxes: [{
type: 'linear',
// String - ID of the axis for data binding
id: "y-axis-1",
}],
}
};
```
Name | Type | Default | Description
--- | --- | --- | ---
showLines | Boolean | true | If false, the lines between points are not drawn
stacked | Boolean | false | If true, lines stack on top of each other along the y axis.
*hover*.mode | String | "label" | Label's hover mode. "label" is used since the x axis displays data by the index in the dataset.
scales | - | - | -
*scales*.xAxes | Array | `[{type:"category","id":"x-axis-1"}]` | Defines all of the x axes used in the chart. See the [scale documentation](#getting-started-scales) for details on the available options.
*Options for xAxes* | | |
type | String | "category" | As defined in ["Category"](#scales-category-scale).
id | String | "x-axis-1" | Id of the axis so that data can bind to it.
| | |
*scales*.yAxes | Array | `[{type:"linear","id":"y-axis-1"}]` | Defines all of the x axes used in the chart. See the [scale documentation](#getting-started-scales) for details on the available options.
*Options for yAxes* | | |
type | String | "linear" | As defined in ["Linear"](#scales-linear-scale).
id | String | "y-axis-1" | Id of the axis so that data can bind to it.
You can override these for your `Chart` instance by passing a member `options` into the `Line` method.
@@ -152,61 +141,15 @@ For example, we could have a line chart display without an x axis by doing the f
```javascript
new Chart(ctx, {
type: 'line',
data: data,
data: data,
options: {
xAxes: [{
show: false
display: false
}]
}
});
// This will create a chart with all of the default options, merged from the global config,
// and the Line chart defaults, but this particular instance will have `bezierCurve` set to false.
// and the Line chart defaults, but this particular instance will have the x axis not displaying.
```
We can also change these defaults values for each Line type that is created, this object is available at `Chart.defaults.Line`.
### Prototype methods
#### .getElementsAtEvent( event )
Calling `getElementsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the point elements that are at that the same position of that event.
```javascript
canvas.onclick = function(evt){
var activePoints = myLineChart.getElementsAtEvent(evt);
// => activePoints is an array of points on the canvas that are at the same position as the click event.
};
```
This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
#### .update( )
Calling `update()` on your Chart instance will re-render the chart with any updated values, allowing you to edit the value of multiple existing points, then render those in one animated render loop.
```javascript
myLineChart.datasets[0].points[2].value = 50;
// Would update the first dataset's value of 'March' to be 50
myLineChart.update();
// Calling update now animates the position of March from 90 to 50.
```
#### .addData( valuesArray, label )
Calling `addData(valuesArray, label)` on your Chart instance passing an array of values for each dataset, along with a label for those points.
```javascript
// The values array passed into addData should be one for each dataset in the chart
myLineChart.addData([40, 60], "August");
// This new data will now animate at the end of the chart.
```
#### .removeData( )
Calling `removeData()` on your Chart instance will remove the first value for all datasets on the chart.
```javascript
myLineChart.removeData();
// The chart will remove the first point and animate other points into place
```
We can also change these defaults values for each Line type that is created, this object is available at `Chart.defaults.line`.
+155
Ver Arquivo
@@ -0,0 +1,155 @@
---
title: Bar Chart
anchor: bar-chart
---
### Introduction
A bar chart is a way of showing data as bars.
It is sometimes used to show trend data, and the comparison of multiple data sets side by side.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
### Example usage
```javascript
var myBarChart = new Chart(ctx, {
type: 'bar',
data: data,
options: options
});
```
### Data structure
```javascript
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
// The properties below allow an array to be specified to change the value of the item at the given index
// String or array - the bar color
backgroundColor: "rgba(220,220,220,0.2)",
// String or array - bar stroke color
borderColor: "rgba(220,220,220,1)",
// Number or array - bar border width
borderWidth: 1,
// String or array - fill color when hovered
hoverBackgroundColor: "rgba(220,220,220,0.2)",
// String or array - border color when hovered
hoverBorderColor: "rgba(220,220,220,1)",
// The actual data
data: [65, 59, 80, 81, 56, 55, 40],
// String - If specified, binds the dataset to a certain y-axis. If not specified, the first y-axis is used.
yAxisID: "y-axis-0",
},
{
label: "My Second dataset",
backgroundColor: "rgba(220,220,220,0.2)",
borderColor: "rgba(220,220,220,1)",
borderWidth: 1,
hoverBackgroundColor: "rgba(220,220,220,0.2)",
hoverBorderColor: "rgba(220,220,220,1)",
data: [28, 48, 40, 19, 86, 27, 90]
}
]
};
```
The bar chart has the a very similar data structure to the line chart, and has an array of datasets, each with colours and an array of data. Again, colours are in CSS format.
We have an array of labels too for display. In the example, we are showing the same data as the previous line chart example.
The label key on each dataset is optional, and can be used when generating a scale for the chart.
### Chart Options
These are the customisation options specific to Bar charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
The default options for bar chart are defined in `Chart.defaults.Bar`.
Name | Type | Default | Description
--- |:---:| --- | ---
stacked | Boolean | false |
*hover*.mode | String | "label" | Label's hover mode. "label" is used since the x axis displays data by the index in the dataset.
scales | Array | - | -
*scales*.xAxes | Array | | The bar chart officially supports only 1 x-axis but uses an array to keep the API consistent. Use a scatter chart if you need multiple x axes.
*Options for xAxes* | | |
type | String | "Category" | As defined in [Scales](#scales-category-scale).
display | Boolean | true | If true, show the scale.
position | String | "bottom" | Position of the scale. Options are "top" and "bottom" for dataset scales.
id | String | "x-axis-1" | Id of the axis so that data can bind to it
categoryPercentage | Number | 0.8 | Percent (0-1) of the available width (the space between the gridlines for small datasets) for each data-point to use for the bars. [Read More](#bar-chart-barpercentage-vs-categorypercentage)
barPercentage | Number | 0.9 | Percent (0-1) of the available width each bar should be within the category percentage. 1.0 will take the whole category width and put the bars right next to each other. [Read More](#bar-chart-barpercentage-vs-categorypercentage)
gridLines | Array | [See Scales](#scales) |
*gridLines*.offsetGridLines | Boolean | true | If true, the bars for a particular data point fall between the grid lines. If false, the grid line will go right down the middle of the bars.
scaleLabel | Array | [See Scales](#scales) |
ticks | Array | [See Scales](#scales) |
| | |
*scales*.yAxes | Array | `[{ type: "linear" }]` |
*Options for xAxes* | | |
type | String | "linear" | As defined in [Scales](#scales-linear-scale).
display | Boolean | true | If true, show the scale.
position | String | "left" | Position of the scale. Options are "left" and "right" for dataset scales.
id | String | "y-axis-1" | Id of the axis so that data can bind to it.
gridLines | Array | [See Scales](#scales) |
scaleLabel | Array | [See Scales](#scales) |
ticks | Array | [See Scales](#scales) |
You can override these for your `Chart` instance by passing a second argument into the `Bar` method as an object with the keys you want to override.
For example, we could have a bar chart without a stroke on each bar by doing the following:
```javascript
new Chart(ctx, {
type: "bar",
data: data,
options: {
scales: {
xAxes: [{
stacked: true
}],
yAxes: [{
stacked: true
}]
}
}
}
});
// This will create a chart with all of the default options, merged from the global config,
// and the Bar chart defaults but this particular instance will have `stacked` set to true
// for both x and y axes.
```
We can also change these defaults values for each Bar type that is created, this object is available at `Chart.defaults.Bar`.
#### barPercentage vs categoryPercentage
The following shows the relationship between the bar percentage option and the category percentage option.
```text
// categoryPercentage: 1.0
// barPercentage: 1.0
Bar: | 1.0 | 1.0 |
Category: | 1.0 |
Sample: |===========|
// categoryPercentage: 1.0
// barPercentage: 0.5
Bar: |.5| |.5|
Category: | 1.0 |
Sample: |==============|
// categoryPercentage: 0.5
// barPercentage: 1.0
Bar: |1.||1.|
Category: | .5 |
Sample: |==============|
```
+93
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@@ -0,0 +1,93 @@
---
title: Radar Chart
anchor: radar-chart
---
### Introduction
A radar chart is a way of showing multiple data points and the variation between them.
They are often useful for comparing the points of two or more different data sets.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
### Example usage
```javascript
var myRadarChart = new Chart(ctx, {
type: 'radar',
data: data,
options: options
});
```
### Data structure
```javascript
var data = {
labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
datasets: [
{
label: "My First dataset",
backgroundColor: "rgba(220,220,220,0.2)",
borderColor: "rgba(220,220,220,1)",
pointBackgroundColor: "rgba(220,220,220,1)",
pointBorderColor: "#fff",
pointHoverBackgroundColor: "#fff",
pointHoverBorderColor: "rgba(220,220,220,1)",
data: [65, 59, 90, 81, 56, 55, 40]
},
{
label: "My Second dataset",
backgroundColor: "rgba(151,187,205,0.2)",
borderColor: "rgba(151,187,205,1)",
pointBackgroundColor: "rgba(151,187,205,1)",
pointBorderColor: "#fff",
pointHoverBackgroundColor: "#fff",
pointHoverBorderColor: "rgba(151,187,205,1)",
data: [28, 48, 40, 19, 96, 27, 100]
}
]
};
```
For a radar chart, to provide context of what each point means, we include an array of strings that show around each point in the chart.
For the radar chart data, we have an array of datasets. Each of these is an object, with a fill colour, a stroke colour, a colour for the fill of each point, and a colour for the stroke of each point. We also have an array of data values.
The label key on each dataset is optional, and can be used when generating a scale for the chart.
### Chart Options
These are the customisation options specific to Radar charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
The default options for radar chart are defined in `Chart.defaults.radar`.
Name | Type | Default | Description
--- | --- | --- | ---
scale | Array | [See Scales](#scales) and [Defaults for Radial Linear Scale](#scales-radial-linear-scale) | Options for the one scale used on the chart. Use this to style the ticks, labels, and grid lines.
*scale*.type | String |"radialLinear" | As defined in ["Radial Linear"](#scales-radial-linear-scale).
*elements*.line | Array | | Options for all line elements used on the chart, as defined in the global elements, duplicated here to show Radar chart specific defaults.
*elements.line*.tension | Number | 0 | Tension exhibited by lines when calculating splineCurve. Setting to 0 creates straight lines.
You can override these for your `Chart` instance by passing a second argument into the `Radar` method as an object with the keys you want to override.
For example, we could have a radar chart without a point for each on piece of data by doing the following:
```javascript
new Chart(ctx, {
type: "radar",
data: data,
options: {
scale: {
reverse: true,
ticks: {
beginAtZero: true
}
}
}
});
// This will create a chart with all of the default options, merged from the global config,
// and the Radar chart defaults but this particular instance's scale will be reversed as
// well as the ticks beginning at zero.
```
We can also change these defaults values for each Radar type that is created, this object is available at `Chart.defaults.radar`.
+91
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@@ -0,0 +1,91 @@
---
title: Polar Area Chart
anchor: polar-area-chart
---
### Introduction
Polar area charts are similar to pie charts, but each segment has the same angle - the radius of the segment differs depending on the value.
This type of chart is often useful when we want to show a comparison data similar to a pie chart, but also show a scale of values for context.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
### Example usage
```javascript
new Chart(ctx, {
data: data,
type: 'polarArea',
options: options
});
```
### Data structure
```javascript
var data = {
datasets: [{
data: [
10,
32,
53,
14,
22,
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
label: 'My dataset' // for legend
}],
labels: [
"Red",
"Green",
"Yellow",
"Grey",
"Dark Grey"
]
};
```
As you can see, for the chart data you pass in an array of objects, with a value and a colour. The value attribute should be a number, while the color attribute should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.
### Chart options
These are the customisation options specific to Polar Area charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
Name | Type | Default | Description
--- | --- | --- | ---
scale | Array | [See Scales](#scales) and [Defaults for Radial Linear Scale](#getting-started-radial-linear-scale) | Options for the one scale used on the chart. Use this to style the ticks, labels, and grid.
*scale*.type | String |"radialLinear" | As defined in ["Radial Linear"](#scales-radial-linear-scale).
*scale*.lineArc | Boolean | true | When true, lines are circular.
animateRotate | Boolean |true | If true, will animate the rotation of the chart.
animateScale | Boolean | true | If true, will animate scaling the chart.
*legend*.*labels*.generateLabels | Function | `function(data) {} ` | Returns labels for each the legend
*legend*.onClick | Function | function(event, legendItem) {} ` | Handles clicking an individual legend item
legendCallback | Function | `function(chart) ` | Generates the HTML legend via calls to `generateLegend`
You can override these for your `Chart` instance by passing a second argument into the `PolarArea` method as an object with the keys you want to override.
For example, we could have a polar area chart with a black stroke on each segment like so:
```javascript
new Chart(ctx, {
data: data,
type: "polarArea",
options: {
elements: {
arc: {
borderColor: "#000000"
}
}
}
});
// This will create a chart with all of the default options, merged from the global config,
// and the PolarArea chart defaults but this particular instance will have `elements.arc.borderColor` set to `"#000000"`.
```
We can also change these defaults values for each PolarArea type that is created, this object is available at `Chart.defaults.polarArea`.
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---
title: Pie & Doughnut Charts
anchor: doughnut-pie-chart
---
### Introduction
Pie and doughnut charts are probably the most commonly used chart there are. They are divided into segments, the arc of each segment shows the proportional value of each piece of data.
They are excellent at showing the relational proportions between data.
Pie and doughnut charts are effectively the same class in Chart.js, but have one different default value - their `percentageInnerCutout`. This equates what percentage of the inner should be cut out. This defaults to `0` for pie charts, and `50` for doughnuts.
They are also registered under two aliases in the `Chart` core. Other than their different default value, and different alias, they are exactly the same.
<div class="canvas-holder half">
<canvas width="250" height="125"></canvas>
</div>
<div class="canvas-holder half">
<canvas width="250" height="125"></canvas>
</div>
### Example usage
```javascript
// For a pie chart
var myPieChart = new Chart(ctx[0],{
type:'pie',
data: data,
options: options
});
// And for a doughnut chart
var myDoughnutChart = new Chart(ctx[1], {
type:'doughnut',
data: data,
options: options
});
```
### Data structure
```javascript
var data = {
labels: [
"Red",
"Green",
"Yellow"
],
datasets: [
{
data: [300, 50, 100],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C"
],
hoverBackgroundColor: [
"#FF5A5E",
"#5AD3D1",
"#FFC870"
]
}]
};
```
For a pie chart, you must pass in an array of objects with a value and an optional color property. The value attribute should be a number, Chart.js will total all of the numbers and calculate the relative proportion of each. The color attribute should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.
### Chart options
These are the customisation options specific to Pie & Doughnut charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
Name | Type | Default | Description
--- | --- | --- | ---
cutoutPercentage | Number | 50 - for doughnut, 0 - for pie | The percentage of the chart that is cut out of the middle.
scale | Array | [See Scales](#scales) and [Defaults for Radial Linear Scale](#getting-started-radial-linear-scale) | Options for the one scale used on the chart. Use this to style the ticks, labels, and grid.
*scale*.type | String |"radialLinear" | As defined in ["Radial Linear"](#scales-radial-linear-scale).
*scale*.lineArc | Boolean | true | When true, lines are arced compared to straight when false.
*animation*.animateRotate | Boolean |true | If true, will animate the rotation of the chart.
*animation*.animateScale | Boolean | false | If true, will animate scaling the Doughnut from the centre.
*legend*.*labels*.generateLabels | Function | `function(data) {} ` | Returns labels for each the legend
*legend*.onClick | Function | function(event, legendItem) {} ` | Handles clicking an individual legend item
You can override these for your `Chart` instance by passing a second argument into the `Doughnut` method as an object with the keys you want to override.
For example, we could have a doughnut chart that animates by scaling out from the centre like so:
```javascript
new Chart(ctx,{
type:"doughnut",
animation:{
animateScale:true
}
});
// This will create a chart with all of the default options, merged from the global config,
// and the Doughnut chart defaults but this particular instance will have `animateScale` set to `true`.
```
We can also change these default values for each Doughnut type that is created, this object is available at `Chart.defaults.Doughnut`. Pie charts also have a clone of these defaults available to change at `Chart.defaults.Pie`, with the only difference being `percentageInnerCutout` being set to 0.
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---
title: Advanced usage
anchor: advanced-usage
---
### Prototype methods
For each chart, there are a set of global prototype methods on the shared `ChartType` which you may find useful. These are available on all charts created with Chart.js, but for the examples, let's use a line chart we've made.
```javascript
// For example:
var myLineChart = new Chart(ctx, config);
```
#### .destroy()
Use this to destroy any chart instances that are created. This will clean up any references stored to the chart object within Chart.js, along with any associated event listeners attached by Chart.js.
This must be called before the canvas is reused for a new chart.
```javascript
// Destroys a specific chart instance
myLineChart.destroy();
```
#### .update(duration, lazy)
Triggers an update of the chart. This can be safely called after replacing the entire data object. This will update all scales, legends, and then re-render the chart.
```javascript
// duration is the time for the animation of the redraw in miliseconds
// lazy is a boolean. if true, the animation can be interupted by other animations
myLineChart.data.datasets[0].data[2] = 50; // Would update the first dataset's value of 'March' to be 50
myLineChart.update(); // Calling update now animates the position of March from 90 to 50.
```
#### .render(duration, lazy)
Triggers a redraw of all chart elements. Note, this does not update elements for new data. Use `.update()` in that case.
```javascript
// duration is the time for the animation of the redraw in miliseconds
// lazy is a boolean. if true, the animation can be interupted by other animations
myLineChart.render(duration, lazy);
```
#### .stop()
Use this to stop any current animation loop. This will pause the chart during any current animation frame. Call `.render()` to re-animate.
```javascript
// Stops the charts animation loop at its current frame
myLineChart.stop();
// => returns 'this' for chainability
```
#### .resize()
Use this to manually resize the canvas element. This is run each time the canvas container is resized, but you can call this method manually if you change the size of the canvas nodes container element.
```javascript
// Resizes & redraws to fill its container element
myLineChart.resize();
// => returns 'this' for chainability
```
#### .clear()
Will clear the chart canvas. Used extensively internally between animation frames, but you might find it useful.
```javascript
// Will clear the canvas that myLineChart is drawn on
myLineChart.clear();
// => returns 'this' for chainability
```
#### .toBase64Image()
This returns a base 64 encoded string of the chart in it's current state.
```javascript
myLineChart.toBase64Image();
// => returns png data url of the image on the canvas
```
#### .generateLegend()
Returns an HTML string of a legend for that chart. The legend is generated from the `legendCallback` in the options.
```javascript
myLineChart.generateLegend();
// => returns HTML string of a legend for this chart
```
#### .getElementAtEvent(e)
Calling `getElementAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the single element at the event position. If there are multiple items within range, only the first is returned
```javascript
myLineChart.getElementAtEvent(e);
// => returns the first element at the event point.
```
#### .getElementsAtEvent(e)
Looks for the element under the event point, then returns all elements at the same data index. This is used internally for 'label' mode highlighting.
Calling `getElementsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the point elements that are at that the same position of that event.
```javascript
canvas.onclick = function(evt){
var activePoints = myLineChart.getElementsAtEvent(evt);
// => activePoints is an array of points on the canvas that are at the same position as the click event.
};
```
This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
#### .getDatasetAtEvent(e)
Looks for the element under the event point, then returns all elements from that dataset. This is used internally for 'dataset' mode highlighting
```javascript
myLineChart.getDatasetAtEvent(e);
// => returns an array of elements
```
### External Tooltips
You can enable custom tooltips in the global or chart configuration like so:
```javascript
var myPieChart = new Chart(ctx, {
type: 'pie',
data: data,
options: {
tooltips: {
custom: function(tooltip) {
// tooltip will be false if tooltip is not visible or should be hidden
if (!tooltip) {
return;
}
// Otherwise, tooltip will be an object with all tooltip properties like:
// tooltip.caretHeight
// tooltip.caretPadding
// tooltip.chart
// tooltip.cornerRadius
// tooltip.fillColor
// tooltip.font...
// tooltip.text
// tooltip.x
// tooltip.y
// etc...
}
}
}
});
```
See `sample/line-customTooltips.html` for examples on how to get started.
### Writing new scale types
Starting with Chart.js 2.0 scales can be individually extended. Scales should always derive from Chart.Scale.
```javascript
var MyScale = Chart.Scale.extend({
/* extensions ... */
});
// MyScale is now derived from Chart.Scale
```
Once you have created your scale class, you need to register it with the global chart object so that it can be used. A default config for the scale may be provided when registering the constructor. The first parameter to the register function is a string key that is used later to identify which scale type to use for a chart.
```javascript
Chart.scaleService.registerScaleType('myScale', MyScale, defaultConfigObject);
```
To use the new scale, simply pass in the string key to the config when creating a chart.
```javascript
var lineChart = new Chart(ctx, {
data: data,
type: 'line',
options: {
scales: {
yAxes: [{
type: 'myScale' // this is the same key that was passed to the registerScaleType function
}]
}
}
})
```
#### Scale Properties
Scale instances are given the following properties during the fitting process.
```javascript
{
left: Number, // left edge of the scale bounding box
right: Number, // right edge of the bounding box'
top: Number,
bottom: Number,
width: Number, // the same as right - left
height: Number, // the same as bottom - top
// Margin on each side. Like css, this is outside the bounding box.
margins: {
left: Number,
right: Number,
top: Number,
bottom: Number,
},
// Amount of padding on the inside of the bounding box (like CSS)
paddingLeft: Number,
paddingRight: Number,
paddingTop: Number,
paddingBottom: Number,
}
```
#### Scale Interface
To work with Chart.js, custom scale types must implement the following interface.
```javascript
{
// Determines the data limits. Should set this.min and this.max to be the data max/min
determineDataLimits: function() {},
// Generate tick marks. this.chart is the chart instance. The data object can be accessed as this.chart.data
// buildTicks() should create a ticks array on the scale instance, if you intend to use any of the implementations from the base class
buildTicks: function() {},
// Get the value to show for the data at the given index of the the given dataset, ie this.chart.data.datasets[datasetIndex].data[index]
getLabelForIndex: function(index, datasetIndex) {},
// Get the pixel (x coordinate for horizontal scale, y coordinate for vertical scales) for a given value
// @param index: index into the ticks array
// @param includeOffset: if true, get the pixel halway between the given tick and the next
getPixelForTick: function(index, includeOffset) {},
// Get the pixel (x coordinate for horizontal scale, y coordinate for vertical scales) for a given value
// @param value : the value to get the pixel for
// @param index : index into the data array of the value
// @param datasetIndex : index of the dataset the value comes from
// @param includeOffset : if true, get the pixel halway between the given tick and the next
getPixelForValue: function(value, index, datasetIndex, includeOffset) {}
}
```
Optionally, the following methods may also be overwritten, but an implementation is already provided by the `Chart.Scale` base class.
```javascript
// Transform the ticks array of the scale instance into strings. The default implementation simply calls this.options.ticks.callback(numericalTick, index, ticks);
convertTicksToLabels: function() {},
// Determine how much the labels will rotate by. The default implementation will only rotate labels if the scale is horizontal.
calculateTickRotation: function() {},
// Fits the scale into the canvas.
// this.maxWidth and this.maxHeight will tell you the maximum dimensions the scale instance can be. Scales should endeavour to be as efficient as possible with canvas space.
// this.margins is the amount of space you have on either side of your scale that you may expand in to. This is used already for calculating the best label rotation
// You must set this.minSize to be the size of your scale. It must be an object containing 2 properties: width and height.
// You must set this.width to be the width and this.height to be the height of the scale
fit: function() {},
// Draws the scale onto the canvas. this.(left|right|top|bottom) will have been populated to tell you the area on the canvas to draw in
// @param chartArea : an object containing four properties: left, right, top, bottom. This is the rectangle that lines, bars, etc will be drawn in. It may be used, for example, to draw grid lines.
draw: function(chartArea) {},
```
The Core.Scale base class also has some utility functions that you may find useful.
```javascript
{
// Returns true if the scale instance is horizontal
isHorizontal: function() {},
// Get the correct value from the value from this.chart.data.datasets[x].data[]
// If dataValue is an object, returns .x or .y depending on the return of isHorizontal()
// If the value is undefined, returns NaN
// Otherwise returns the value.
// Note that in all cases, the returned value is not guaranteed to be a Number
getRightValue: function(dataValue) {},
}
```
### Writing new chart types
Chart.js 2.0 introduces the concept of controllers for each dataset. Like scales, new controllers can be written as needed.
```javascript
Chart.controllers.MyType = Chart.DatasetController.extend({
});
// Now we can create a new instance of our chart, using the Chart.js API
new Chart(ctx, {
// this is the string the constructor was registered at, ie Chart.controllers.MyType
type: 'MyType',
data: data,
options: options
});
```
#### Dataset Controller Interface
Dataset controllers must implement the following interface.
```javascript
{
// Create elements for each piece of data in the dataset. Store elements in an array on the dataset as dataset.metaData
addElements: function() {},
// Create a single element for the data at the given index and reset its state
addElementAndReset: function(index) {},
// Draw the representation of the dataset
// @param ease : if specified, this number represents how far to transition elements. See the implementation of draw() in any of the provided controllers to see how this should be used
draw: function(ease) {},
// Remove hover styling from the given element
removeHoverStyle: function(element) {},
// Add hover styling to the given element
setHoverStyle: function(element) {},
// Update the elements in response to new data
// @param reset : if true, put the elements into a reset state so they can animate to their final values
update: function(reset) {},
}
```
The following methods may optionally be overridden by derived dataset controllers
```javascript
{
// Initializes the controller
initialize: function(chart, datasetIndex) {},
// Ensures that the dataset represented by this controller is linked to a scale. Overridden to helpers.noop in the polar area and doughnut controllers as these
// chart types using a single scale
linkScales: function() {},
// Called by the main chart controller when an update is triggered. The default implementation handles the number of data points changing and creating elements appropriately.
buildOrUpdateElements: function() {}
}
```
### Extending existing chart types
Extending or replacing an existing controller type is easy. Simply replace the constructor for one of the built in types with your own.
The built in controller types are:
* `Chart.controllers.line`
* `Chart.controllers.bar`
* `Chart.controllers.radar`
* `Chart.controllers.doughnut`
* `Chart.controllers.polarArea`
* `Chart.controllers.bubble`
#### Bar Controller
The bar controller has a special property that you should be aware of. To correctly calculate the width of a bar, the controller must determine the number of datasets that map to bars. To do this, the bar controller attaches a property `bar` to the dataset during initialization. If you are creating a replacement or updated bar controller, you should do the same. This will ensure that charts with regular bars and your new derived bars will work seamlessly.
### Building Chart.js
Chart.js uses <a href="http://gulpjs.com/" target="_blank">gulp</a> to build the library into a single JavaScript file.
Firstly, we need to ensure development dependencies are installed. With node and npm installed, after cloning the Chart.js repo to a local directory, and navigating to that directory in the command line, we can run the following:
```bash
npm install
npm install -g gulp
```
This will install the local development dependencies for Chart.js, along with a CLI for the JavaScript task runner <a href="http://gulpjs.com/" target="_blank">gulp</a>.
Now, we can run the `gulp build` task.
```bash
gulp build
```
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---
title: Getting started
anchor: getting-started
---
###Include Chart.js
First we need to include the Chart.js library on the page. The library occupies a global variable of `Chart`.
```html
<script src="Chart.js"></script>
```
Alternatively, if you're using an AMD loader for JavaScript modules, that is also supported in the Chart.js core. Please note: the library will still occupy a global variable of `Chart`, even if it detects `define` and `define.amd`. If this is a problem, you can call `noConflict` to restore the global Chart variable to its previous owner.
```javascript
// Using requirejs
require(['path/to/Chartjs'], function(Chart){
// Use Chart.js as normal here.
// Chart.noConflict restores the Chart global variable to its previous owner
// The function returns what was previously Chart, allowing you to reassign.
var Chartjs = Chart.noConflict();
});
```
You can also grab Chart.js using bower:
```bash
bower install Chart.js --save
```
or NPM:
```bash
npm install chart.js --save
```
Also, Chart.js is available from CDN:
https://cdnjs.cloudflare.com/ajax/libs/Chart.js/1.0.2/Chart.min.js
###Creating a chart
To create a chart, we need to instantiate the `Chart` class. To do this, we need to pass in the 2d context of where we want to draw the chart. Here's an example.
```html
<canvas id="myChart" width="400" height="400"></canvas>
```
```javascript
// Get the context of the canvas element we want to select
var ctx = document.getElementById("myChart").getContext("2d");
var myNewChart = new Chart(ctx).PolarArea(data);
```
We can also get the context of our canvas with jQuery. To do this, we need to get the DOM node out of the jQuery collection, and call the `getContext("2d")` method on that.
```javascript
// Get context with jQuery - using jQuery's .get() method.
var ctx = $("#myChart").get(0).getContext("2d");
// This will get the first returned node in the jQuery collection.
var myNewChart = new Chart(ctx);
```
After we've instantiated the Chart class on the canvas we want to draw on, Chart.js will handle the scaling for retina displays.
With the Chart class set up, we can go on to create one of the charts Chart.js has available. In the example below, we would be drawing a Polar area chart.
```javascript
new Chart(ctx).PolarArea(data, options);
```
We call a method of the name of the chart we want to create. We pass in the data for that chart type, and the options for that chart as parameters. Chart.js will merge the global defaults with chart type specific defaults, then merge any options passed in as a second argument after data.
###Global chart configuration
This concept was introduced in Chart.js 1.0 to keep configuration DRY, and allow for changing options globally across chart types, avoiding the need to specify options for each instance, or the default for a particular chart type.
Templates are based on micro templating by John Resig:
http://ejohn.org/blog/javascript-micro-templating/
```javascript
Chart.defaults.global = {
// Boolean - Whether to animate the chart
animation: true,
// Number - Number of animation steps
animationSteps: 60,
// String - Animation easing effect
// Possible effects are:
// [easeInOutQuart, linear, easeOutBounce, easeInBack, easeInOutQuad,
// easeOutQuart, easeOutQuad, easeInOutBounce, easeOutSine, easeInOutCubic,
// easeInExpo, easeInOutBack, easeInCirc, easeInOutElastic, easeOutBack,
// easeInQuad, easeInOutExpo, easeInQuart, easeOutQuint, easeInOutCirc,
// easeInSine, easeOutExpo, easeOutCirc, easeOutCubic, easeInQuint,
// easeInElastic, easeInOutSine, easeInOutQuint, easeInBounce,
// easeOutElastic, easeInCubic]
animationEasing: "easeOutQuart",
// Boolean - If we should show the scale at all
showScale: true,
// Boolean - If we want to override with a hard coded scale
scaleOverride: false,
// ** Required if scaleOverride is true **
// Number - The number of steps in a hard coded scale
scaleSteps: null,
// Number - The value jump in the hard coded scale
scaleStepWidth: null,
// Number - The scale starting value
scaleStartValue: null,
// String - Colour of the scale line
scaleLineColor: "rgba(0,0,0,.1)",
// Number - Pixel width of the scale line
scaleLineWidth: 1,
// Boolean - Whether to show labels on the scale
scaleShowLabels: true,
// Interpolated JS string - can access value
scaleLabel: "<%=value%>",
// Boolean - Whether the scale should stick to integers, not floats even if drawing space is there
scaleIntegersOnly: true,
// Boolean - Whether the scale should start at zero, or an order of magnitude down from the lowest value
scaleBeginAtZero: false,
// String - Scale label font declaration for the scale label
scaleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
// Number - Scale label font size in pixels
scaleFontSize: 12,
// String - Scale label font weight style
scaleFontStyle: "normal",
// String - Scale label font colour
scaleFontColor: "#666",
// Boolean - whether or not the chart should be responsive and resize when the browser does.
responsive: false,
// Boolean - whether to maintain the starting aspect ratio or not when responsive, if set to false, will take up entire container
maintainAspectRatio: true,
// Boolean - Determines whether to draw tooltips on the canvas or not
showTooltips: true,
// Function - Determines whether to execute the customTooltips function instead of drawing the built in tooltips (See [Advanced - External Tooltips](#advanced-usage-external-tooltips))
customTooltips: false,
// Array - Array of string names to attach tooltip events
tooltipEvents: ["mousemove", "touchstart", "touchmove"],
// String - Tooltip background colour
tooltipFillColor: "rgba(0,0,0,0.8)",
// String - Tooltip label font declaration for the scale label
tooltipFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
// Number - Tooltip label font size in pixels
tooltipFontSize: 14,
// String - Tooltip font weight style
tooltipFontStyle: "normal",
// String - Tooltip label font colour
tooltipFontColor: "#fff",
// String - Tooltip title font declaration for the scale label
tooltipTitleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
// Number - Tooltip title font size in pixels
tooltipTitleFontSize: 14,
// String - Tooltip title font weight style
tooltipTitleFontStyle: "bold",
// String - Tooltip title font colour
tooltipTitleFontColor: "#fff",
// String - Tooltip title template
tooltipTitleTemplate: "<%= label%>",
// Number - pixel width of padding around tooltip text
tooltipYPadding: 6,
// Number - pixel width of padding around tooltip text
tooltipXPadding: 6,
// Number - Size of the caret on the tooltip
tooltipCaretSize: 8,
// Number - Pixel radius of the tooltip border
tooltipCornerRadius: 6,
// Number - Pixel offset from point x to tooltip edge
tooltipXOffset: 10,
{% raw %}
// String - Template string for single tooltips
tooltipTemplate: "<%if (label){%><%=label%>: <%}%><%= value %>",
{% endraw %}
// String - Template string for multiple tooltips
multiTooltipTemplate: "<%= value %>",
// Function - Will fire on animation progression.
onAnimationProgress: function(){},
// Function - Will fire on animation completion.
onAnimationComplete: function(){}
}
```
If for example, you wanted all charts created to be responsive, and resize when the browser window does, the following setting can be changed:
```javascript
Chart.defaults.global.responsive = true;
```
Now, every time we create a chart, `options.responsive` will be `true`.
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---
title: Line Chart
anchor: line-chart
---
###Introduction
A line chart is a way of plotting data points on a line.
Often, it is used to show trend data, and the comparison of two data sets.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
###Example usage
```javascript
var myLineChart = new Chart(ctx).Line(data, options);
```
###Data structure
```javascript
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
fillColor: "rgba(220,220,220,0.2)",
strokeColor: "rgba(220,220,220,1)",
pointColor: "rgba(220,220,220,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(220,220,220,1)",
data: [65, 59, 80, 81, 56, 55, 40]
},
{
label: "My Second dataset",
fillColor: "rgba(151,187,205,0.2)",
strokeColor: "rgba(151,187,205,1)",
pointColor: "rgba(151,187,205,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(151,187,205,1)",
data: [28, 48, 40, 19, 86, 27, 90]
}
]
};
```
The line chart requires an array of labels for each of the data points. This is shown on the X axis.
The data for line charts is broken up into an array of datasets. Each dataset has a colour for the fill, a colour for the line and colours for the points and strokes of the points. These colours are strings just like CSS. You can use RGBA, RGB, HEX or HSL notation.
The label key on each dataset is optional, and can be used when generating a scale for the chart.
### Chart options
These are the customisation options specific to Line charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
```javascript
{
///Boolean - Whether grid lines are shown across the chart
scaleShowGridLines : true,
//String - Colour of the grid lines
scaleGridLineColor : "rgba(0,0,0,.05)",
//Number - Width of the grid lines
scaleGridLineWidth : 1,
//Boolean - Whether to show horizontal lines (except X axis)
scaleShowHorizontalLines: true,
//Boolean - Whether to show vertical lines (except Y axis)
scaleShowVerticalLines: true,
//Boolean - Whether the line is curved between points
bezierCurve : true,
//Number - Tension of the bezier curve between points
bezierCurveTension : 0.4,
//Boolean - Whether to show a dot for each point
pointDot : true,
//Number - Radius of each point dot in pixels
pointDotRadius : 4,
//Number - Pixel width of point dot stroke
pointDotStrokeWidth : 1,
//Number - amount extra to add to the radius to cater for hit detection outside the drawn point
pointHitDetectionRadius : 20,
//Boolean - Whether to show a stroke for datasets
datasetStroke : true,
//Number - Pixel width of dataset stroke
datasetStrokeWidth : 2,
//Boolean - Whether to fill the dataset with a colour
datasetFill : true,
{% raw %}
//String - A legend template
legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].strokeColor%>\"><%if(datasets[i].label){%><%=datasets[i].label%><%}%></span></li><%}%></ul>"
{% endraw %}
//Boolean - Whether to horizontally center the label and point dot inside the grid
offsetGridLines : false
};
```
You can override these for your `Chart` instance by passing a second argument into the `Line` method as an object with the keys you want to override.
For example, we could have a line chart without bezier curves between points by doing the following:
```javascript
new Chart(ctx).Line(data, {
bezierCurve: false
});
// This will create a chart with all of the default options, merged from the global config,
// and the Line chart defaults, but this particular instance will have `bezierCurve` set to false.
```
We can also change these defaults values for each Line type that is created, this object is available at `Chart.defaults.Line`.
### Prototype methods
#### .getPointsAtEvent( event )
Calling `getPointsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the point elements that are at that the same position of that event.
```javascript
canvas.onclick = function(evt){
var activePoints = myLineChart.getPointsAtEvent(evt);
// => activePoints is an array of points on the canvas that are at the same position as the click event.
};
```
This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
#### .update( )
Calling `update()` on your Chart instance will re-render the chart with any updated values, allowing you to edit the value of multiple existing points, then render those in one animated render loop.
```javascript
myLineChart.datasets[0].points[2].value = 50;
// Would update the first dataset's value of 'March' to be 50
myLineChart.update();
// Calling update now animates the position of March from 90 to 50.
```
#### .addData( valuesArray, label )
Calling `addData(valuesArray, label)` on your Chart instance passing an array of values for each dataset, along with a label for those points.
```javascript
// The values array passed into addData should be one for each dataset in the chart
myLineChart.addData([40, 60], "August");
// This new data will now animate at the end of the chart.
```
#### .removeData( )
Calling `removeData()` on your Chart instance will remove the first value for all datasets on the chart.
```javascript
myLineChart.removeData();
// The chart will remove the first point and animate other points into place
```
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---
title: Bar Chart
anchor: bar-chart
---
### Introduction
A bar chart is a way of showing data as bars.
It is sometimes used to show trend data, and the comparison of multiple data sets side by side.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
### Example usage
```javascript
var myBarChart = new Chart(ctx).Bar(data, options);
```
### Data structure
```javascript
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
fillColor: "rgba(220,220,220,0.5)",
strokeColor: "rgba(220,220,220,0.8)",
highlightFill: "rgba(220,220,220,0.75)",
highlightStroke: "rgba(220,220,220,1)",
data: [65, 59, 80, 81, 56, 55, 40]
},
{
label: "My Second dataset",
fillColor: "rgba(151,187,205,0.5)",
strokeColor: "rgba(151,187,205,0.8)",
highlightFill: "rgba(151,187,205,0.75)",
highlightStroke: "rgba(151,187,205,1)",
data: [28, 48, 40, 19, 86, 27, 90]
}
]
};
```
The bar chart has the a very similar data structure to the line chart, and has an array of datasets, each with colours and an array of data. Again, colours are in CSS format.
We have an array of labels too for display. In the example, we are showing the same data as the previous line chart example.
The label key on each dataset is optional, and can be used when generating a scale for the chart.
### Chart Options
These are the customisation options specific to Bar charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
```javascript
{
//Boolean - Whether the scale should start at zero, or an order of magnitude down from the lowest value
scaleBeginAtZero : true,
//Boolean - Whether grid lines are shown across the chart
scaleShowGridLines : true,
//String - Colour of the grid lines
scaleGridLineColor : "rgba(0,0,0,.05)",
//Number - Width of the grid lines
scaleGridLineWidth : 1,
//Boolean - Whether to show horizontal lines (except X axis)
scaleShowHorizontalLines: true,
//Boolean - Whether to show vertical lines (except Y axis)
scaleShowVerticalLines: true,
//Boolean - If there is a stroke on each bar
barShowStroke : true,
//Number - Pixel width of the bar stroke
barStrokeWidth : 2,
//Number - Spacing between each of the X value sets
barValueSpacing : 5,
//Number - Spacing between data sets within X values
barDatasetSpacing : 1,
{% raw %}
//String - A legend template
legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].fillColor%>\"><%if(datasets[i].label){%><%=datasets[i].label%><%}%></span></li><%}%></ul>"
{% endraw %}
}
```
You can override these for your `Chart` instance by passing a second argument into the `Bar` method as an object with the keys you want to override.
For example, we could have a bar chart without a stroke on each bar by doing the following:
```javascript
new Chart(ctx).Bar(data, {
barShowStroke: false
});
// This will create a chart with all of the default options, merged from the global config,
// and the Bar chart defaults but this particular instance will have `barShowStroke` set to false.
```
We can also change these defaults values for each Bar type that is created, this object is available at `Chart.defaults.Bar`.
### Prototype methods
#### .getBarsAtEvent( event )
Calling `getBarsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the bar elements that are at that the same position of that event.
```javascript
canvas.onclick = function(evt){
var activeBars = myBarChart.getBarsAtEvent(evt);
// => activeBars is an array of bars on the canvas that are at the same position as the click event.
};
```
This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
#### .update( )
Calling `update()` on your Chart instance will re-render the chart with any updated values, allowing you to edit the value of multiple existing points, then render those in one animated render loop.
```javascript
myBarChart.datasets[0].bars[2].value = 50;
// Would update the first dataset's value of 'March' to be 50
myBarChart.update();
// Calling update now animates the position of March from 90 to 50.
```
#### .addData( valuesArray, label )
Calling `addData(valuesArray, label)` on your Chart instance passing an array of values for each dataset, along with a label for those bars.
```javascript
// The values array passed into addData should be one for each dataset in the chart
myBarChart.addData([40, 60], "August");
// The new data will now animate at the end of the chart.
```
#### .removeData( )
Calling `removeData()` on your Chart instance will remove the first value for all datasets on the chart.
```javascript
myBarChart.removeData();
// The chart will now animate and remove the first bar
```
@@ -110,7 +110,7 @@ These are the customisation options specific to Radar charts. These options are
datasetFill : true,
{% raw %}
//String - A legend template
legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].strokeColor%>\"></span><%if(datasets[i].label){%><%=datasets[i].label%><%}%></li><%}%></ul>"
legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<datasets.length; i++){%><li><span style=\"background-color:<%=datasets[i].strokeColor%>\"><%if(datasets[i].label){%><%=datasets[i].label%><%}%></span></li><%}%></ul>"
{% endraw %}
}
```
@@ -102,7 +102,7 @@ These are the customisation options specific to Polar Area charts. These options
animateScale : false,
{% raw %}
//String - A legend template
legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<segments.length; i++){%><li><span style=\"background-color:<%=segments[i].fillColor%>\"></span><%if(segments[i].label){%><%=segments[i].label%><%}%></li><%}%></ul>"
legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<segments.length; i++){%><li><span style=\"background-color:<%=segments[i].fillColor%>\"><%if(segments[i].label){%><%=segments[i].label%><%}%></span></li><%}%></ul>"
{% endraw %}
}
```
@@ -88,7 +88,7 @@ These are the customisation options specific to Pie & Doughnut charts. These opt
animateScale : false,
{% raw %}
//String - A legend template
legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<segments.length; i++){%><li><span style=\"background-color:<%=segments[i].fillColor%>\"></span><%if(segments[i].label){%><%=segments[i].label%><%}%></li><%}%></ul>"
legendTemplate : "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i=0; i<segments.length; i++){%><li><span style=\"background-color:<%=segments[i].fillColor%>\"><%if(segments[i].label){%><%=segments[i].label%><%}%></span></li><%}%></ul>"
{% endraw %}
}
```
@@ -54,7 +54,7 @@ myLineChart.destroy();
#### .toBase64Image()
This returns a base 64 encoded string of the chart in it's current state.
This returns a base 64 encoded string of the chart in its current state.
```javascript
myLineChart.toBase64Image();
@@ -176,7 +176,7 @@ npm install -g gulp
This will install the local development dependencies for Chart.js, along with a CLI for the JavaScript task runner <a href="http://gulpjs.com/" target="_blank">gulp</a>.
Now, we can run the `gulp build` task, and pass in a comma seperated list of types as an argument to build a custom version of Chart.js with only specified chart types.
Now, we can run the `gulp build` task, and pass in a comma-separated list of types as an argument to build a custom version of Chart.js with only specified chart types.
Here we will create a version of Chart.js with only Line, Radar and Bar charts included:
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---
title: Notes
anchor: notes
---
### Browser support
Browser support for the canvas element is available in all modern & major mobile browsers <a href="http://caniuse.com/canvas" target="_blank">(caniuse.com/canvas)</a>.
For IE8 & below, I would recommend using the polyfill ExplorerCanvas - available at <a href="https://code.google.com/p/explorercanvas/" target="_blank">https://code.google.com/p/explorercanvas/</a>. It falls back to Internet explorer's format VML when canvas support is not available. Example use:
```html
<head>
<!--[if lte IE 8]>
<script src="excanvas.js"></script>
<![endif]-->
</head>
```
Usually I would recommend feature detection to choose whether or not to load a polyfill, rather than IE conditional comments, however in this case, VML is a Microsoft proprietary format, so it will only work in IE.
Some important points to note in my experience using ExplorerCanvas as a fallback.
- Initialise charts on load rather than DOMContentReady when using the library, as sometimes a race condition will occur, and it will result in an error when trying to get the 2d context of a canvas.
- New VML DOM elements are being created for each animation frame and there is no hardware acceleration. As a result animation is usually slow and jerky, with flashing text. It is a good idea to dynamically turn off animation based on canvas support. I recommend using the excellent <a href="http://modernizr.com/" target="_blank">Modernizr</a> to do this.
- When declaring fonts, the library explorercanvas requires the font name to be in single quotes inside the string. For example, instead of your scaleFontFamily property being simply "Arial", explorercanvas support, use "'Arial'" instead. Chart.js does this for default values.
### Bugs & issues
Please report these on the GitHub page - at <a href="https://github.com/nnnick/Chart.js" target="_blank">github.com/nnnick/Chart.js</a>. If you could include a link to a simple <a href="http://jsbin.com/" target="_blank">jsbin</a> or similar to demonstrate the issue, that'd be really helpful.
### Contributing
New contributions to the library are welcome, just a couple of guidelines:
- Tabs for indentation, not spaces please.
- Please ensure you're changing the individual files in `/src`, not the concatenated output in the `Chart.js` file in the root of the repo.
- Please check that your code will pass `jshint` code standards, `gulp jshint` will run this for you.
- Please keep pull requests concise, and document new functionality in the relevant `.md` file.
- Consider whether your changes are useful for all users, or if creating a Chart.js extension would be more appropriate.
### License
Chart.js is open source and available under the <a href="http://opensource.org/licenses/MIT" target="_blank">MIT license</a>.
+11
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+673
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@keyframes hamburger-top-reverse{ 100%{-webkit-transform: translate3d(0,0,0) rotate(0);-moz-transform: translate3d(0,0,0) rotate(0);-ms-transform: translate3d(0,0,0) rotate(0);transform: translate3d(0,0,0) rotate(0); } 50%{-webkit-transform: translate3d(0,8px,0) rotate(0);-moz-transform: translate3d(0,8px,0) rotate(0);-ms-transform: translate3d(0,8px,0) rotate(0);transform: translate3d(0,8px,0) rotate(0); } 0%{-webkit-transform: translate3d(0,8px,0) rotate(45deg);-moz-transform: translate3d(0,8px,0) rotate(45deg);-ms-transform: translate3d(0,8px,0) rotate(45deg);transform: translate3d(0,8px,0) rotate(45deg); }
}
lesshat-selector {
-lh-property: 0; }
@-webkit-keyframes hamburger-middle-reverse{ 100%{ opacity:1; } 51%{ opacity:1; } 50%{ opacity: 0; } 0%{ opacity:0; }}
@-moz-keyframes hamburger-middle-reverse{ 100%{ opacity:1; } 51%{ opacity:1; } 50%{ opacity: 0; } 0%{ opacity:0; }}
@-o-keyframes hamburger-middle-reverse{ 100%{ opacity:1; } 51%{ opacity:1; } 50%{ opacity: 0; } 0%{ opacity:0; }}
@keyframes hamburger-middle-reverse{ 100%{ opacity:1; } 51%{ opacity:1; } 50%{ opacity: 0; } 0%{ opacity:0; }
}
lesshat-selector {
-lh-property: 0; }
@-webkit-keyframes hamburger-bottom-reverse{ 100%{ -webkit-transform: translate3d(0,0,0) rotate(0); } 50%{ -webkit-transform: translate3d(0,-8px,0) rotate(0); } 0%{ -webkit-transform: translate3d(0,-8px,0) rotate(-45deg); }}
@-moz-keyframes hamburger-bottom-reverse{ 100%{ -moz-transform: translate3d(0,0,0) rotate(0); } 50%{ -moz-transform: translate3d(0,-8px,0) rotate(0); } 0%{ -moz-transform: translate3d(0,-8px,0) rotate(-45deg); }}
@-o-keyframes hamburger-bottom-reverse{ 100%{ -o-transform: translate3d(0,0,0) rotate(0); } 50%{ -o-transform: translate3d(0,-8px,0) rotate(0); } 0%{ -o-transform: translate3d(0,-8px,0) rotate(-45deg); }}
@keyframes hamburger-bottom-reverse{ 100%{-webkit-transform: translate3d(0,0,0) rotate(0);-moz-transform: translate3d(0,0,0) rotate(0);-ms-transform: translate3d(0,0,0) rotate(0);transform: translate3d(0,0,0) rotate(0); } 50%{-webkit-transform: translate3d(0,-8px,0) rotate(0);-moz-transform: translate3d(0,-8px,0) rotate(0);-ms-transform: translate3d(0,-8px,0) rotate(0);transform: translate3d(0,-8px,0) rotate(0); } 0%{-webkit-transform: translate3d(0,-8px,0) rotate(-45deg);-moz-transform: translate3d(0,-8px,0) rotate(-45deg);-ms-transform: translate3d(0,-8px,0) rotate(-45deg);transform: translate3d(0,-8px,0) rotate(-45deg); }
}
body {
-webkit-text-size-adjust: 100%;
padding-left: 250px;
overflow-x: hidden;
}
@media only screen and (max-width: 978px) {
body {
padding-left: 200px;
}
}
@media only screen and (max-width: 600px) {
body {
padding-left: 0px;
padding-top: 40px;
}
body.open-menu aside {
-webkit-transform: translateX(0);
-moz-transform: translateX(0);
-o-transform: translateX(0);
-ms-transform: translateX(0);
transform: translateX(0);
}
body.open-menu .docs-container {
pointer-events: none;
-webkit-transform: translateX(250px);
-moz-transform: translateX(250px);
-o-transform: translateX(250px);
-ms-transform: translateX(250px);
transform: translateX(250px);
}
}
h1,
h2,
h3,
h4,
h5,
h6 {
color: #232830;
}
h1 {
font-size: 42px;
margin-bottom: 30px;
}
@media only screen and (max-width: 600px) {
h1 {
font-size: 28px;
margin-bottom: 22px;
}
}
h2 {
font-size: 32px;
padding-top: 12px;
margin-bottom: 14px;
}
@media only screen and (max-width: 600px) {
h2 {
font-size: 22px;
margin-bottom: 8px;
}
}
h3 {
clear: both;
font-size: 22px;
margin-bottom: 12px;
padding-top: 32px;
}
@media only screen and (max-width: 600px) {
h3 {
font-size: 18px;
}
}
h4 {
font-size: 18px;
margin-bottom: 10px;
padding-top: 10px;
}
@media only screen and (max-width: 600px) {
h4 {
font-size: 16px;
margin-bottom: 6px;
}
}
p {
color: #566076;
margin-bottom: 12px;
line-height: 22px;
}
p code {
background-color: #fafafa;
padding: 4px 8px;
border-radius: 6px;
color: #232830;
}
@media only screen and (max-width: 600px) {
p {
font-size: 14px;
}
}
code {
font-family: 'source-code-pro', monospace;
font-size: 14px;
}
@media only screen and (max-width: 600px) {
code {
font-size: 12px;
}
}
canvas {
margin-bottom: 22px;
}
.half {
width: 50%;
float: left;
}
@media only screen and (max-width: 600px) {
.half {
float: none;
width: 100%;
}
}
.docs-container {
padding: 40px 80px;
max-width: 978px;
margin: 0 auto;
-webkit-transition: -webkit-transform 200ms ease-in-out;
-moz-transition: -moz-transform 200ms ease-in-out;
-o-transition: -o-transform 200ms ease-in-out;
transition: -webkit-transform 200ms ease-in-out,-moz-transform 200ms ease-in-out,-o-transform 200ms ease-in-out,transform 200ms ease-in-out;
}
@media only screen and (max-width: 978px) {
.docs-container {
padding: 40px;
}
}
@media only screen and (max-width: 600px) {
.docs-container {
padding: 20px;
}
}
.highlight {
padding: 8px 12px;
margin: 20px 0;
background-color: #fafafa;
border-radius: 6px;
overflow: scroll;
overflow-x: visible;
overflow-y: hidden;
-webkit-overflow-scrolling: touch;
-ms-overflow-style: -ms-autohiding-scrollbar;
}
.intro h3 {
color: #566076;
font-weight: normal;
}
article {
border-bottom: 1px solid #e1e1e1;
padding-bottom: 40px;
padding-top: 40px;
}
@media only screen and (max-width: 600px) {
article {
padding-top: 20px;
padding-bottom: 20px;
}
}
article:first-child {
padding-top: 0;
}
article ul {
padding-left: 20px;
}
article ul li {
color: #566076;
margin-bottom: 12px;
line-height: 22px;
}
@media only screen and (max-width: 600px) {
article ul li {
font-size: 14px;
}
}
/* Styles for the tables in v2 documentation */
table {
margin-top: 10px;
margin-bottom: 10px;
border-collapse: collapse;
}
th, td {
border: 1px solid #e1e1e1;
padding-top: 10px;
padding-bottom: 10px;
}
td {
padding-left: 5px;
padding-right: 5px;
}
thead {
background-color:
}
tbody tr:nth-child(even) {
background-color: #ffffff
}
tbody tr:nth-child(odd) {
background-color: #eeeeee;
}
/* Left navigation menu */
aside {
position: fixed;
height: 100%;
background-color: #232830;
left: 0;
top: 0;
width: 250px;
border-right: 10px solid #5b90bf;
z-index: 10;
-webkit-transition: -webkit-transform 200ms ease-in-out;
-moz-transition: -moz-transform 200ms ease-in-out;
-o-transition: -o-transform 200ms ease-in-out;
transition: -webkit-transform 200ms ease-in-out,-moz-transform 200ms ease-in-out,-o-transform 200ms ease-in-out,transform 200ms ease-in-out;
}
aside .hamburger-menu {
display: none;
cursor: pointer;
padding: 10px;
}
aside .hamburger-menu li {
list-style: none;
height: 4px;
margin-bottom: 4px;
display: block;
background-color: #fafafa;
-webkit-transition: -webkit-transform 400ms ease-out;
-moz-transition: -moz-transform 400ms ease-out;
-o-transition: -o-transform 400ms ease-out;
transition: -webkit-transform 400ms ease-out,-moz-transform 400ms ease-out,-o-transform 400ms ease-out,transform 400ms ease-out;
}
aside .hamburger-menu li:last-child {
margin-bottom: 0;
}
@media only screen and (max-width: 978px) {
aside {
width: 200px;
}
}
@media only screen and (max-width: 600px) {
aside {
width: 250px;
-webkit-transform: translateX(-250px);
-moz-transform: translateX(-250px);
-o-transform: translateX(-250px);
-ms-transform: translateX(-250px);
transform: translateX(-250px);
}
aside .hamburger-menu {
display: block;
position: absolute;
width: 40px;
height: 40px;
top: 0;
right: -50px;
background-color: #232830;
}
.open-menu aside .hamburger-menu li {
-webkit-animation: hamburger-middle 400ms ease-out forwards;
-moz-animation: hamburger-middle 400ms ease-out forwards;
-o-animation: hamburger-middle 400ms ease-out forwards;
animation: hamburger-middle 400ms ease-out forwards;
}
.open-menu aside .hamburger-menu li:first-child {
-webkit-animation: hamburger-top 400ms ease-out forwards;
-moz-animation: hamburger-top 400ms ease-out forwards;
-o-animation: hamburger-top 400ms ease-out forwards;
animation: hamburger-top 400ms ease-out forwards;
}
.open-menu aside .hamburger-menu li:last-child {
-webkit-animation: hamburger-bottom 400ms ease-out forwards;
-moz-animation: hamburger-bottom 400ms ease-out forwards;
-o-animation: hamburger-bottom 400ms ease-out forwards;
animation: hamburger-bottom 400ms ease-out forwards;
}
.closed-menu aside .hamburger-menu li {
-webkit-animation: hamburger-middle-reverse 400ms ease-out forwards;
-moz-animation: hamburger-middle-reverse 400ms ease-out forwards;
-o-animation: hamburger-middle-reverse 400ms ease-out forwards;
animation: hamburger-middle-reverse 400ms ease-out forwards;
}
.closed-menu aside .hamburger-menu li:first-child {
-webkit-animation: hamburger-top-reverse 400ms ease-out forwards;
-moz-animation: hamburger-top-reverse 400ms ease-out forwards;
-o-animation: hamburger-top-reverse 400ms ease-out forwards;
animation: hamburger-top-reverse 400ms ease-out forwards;
}
.closed-menu aside .hamburger-menu li:last-child {
-webkit-animation: hamburger-bottom-reverse 400ms ease-out forwards;
-moz-animation: hamburger-bottom-reverse 400ms ease-out forwards;
-o-animation: hamburger-bottom-reverse 400ms ease-out forwards;
animation: hamburger-bottom-reverse 400ms ease-out forwards;
}
}
aside nav {
height: 100%;
padding-bottom: 20px;
overflow: auto;
overflow-x: hidden;
overflow-y: scroll;
-webkit-overflow-scrolling: touch;
-ms-overflow-style: -ms-autohiding-scrollbar;
}
aside nav li {
display: block;
}
aside nav li a {
display: block;
color: #fafafa;
padding: 10px 12px;
text-decoration: none;
-webkit-transition: background-color 200ms ease-in-out;
-moz-transition: background-color 200ms ease-in-out;
-o-transition: background-color 200ms ease-in-out;
transition: background-color 200ms ease-in-out;
}
aside nav li a:hover {
background-color: #2b303b;
}
aside .subsection-navigation li {
font-size: 12px;
margin-left: 12px;
border-left: 1px solid #2b303b;
}
aside .subsection-navigation li a {
padding: 6px 12px;
}
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* {
padding: 0;
margin: 0;
color: inherit;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
*,
*:before,
*:after {
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
}
body {
position: relative;
font-family: "proxima-nova", 'Helvetica Neue', 'Helvetica', 'sans-serif';
color: #232830;
}
lesshat-selector {
-lh-property: 0; }
::selection{color: #dfe1e8; background: #5b90bf}
::-moz-selection{color: #dfe1e8; background: #5b90bf;
}
.aspect-ratio {
width: 100%;
padding-bottom: 40%;
position: relative;
background-color: #232830;
border-bottom: 10px solid #5b90bf;
}
header {
position: absolute;
left: 0;
width: 100%;
top: 50%;
-webkit-transform: translateY(-50%);
-moz-transform: translateY(-50%);
-o-transform: translateY(-50%);
-ms-transform: translateY(-50%);
transform: translateY(-50%);
text-align: center;
color: #dfe1e8;
z-index: 3;
}
header h1 {
margin-bottom: 30px;
}
header h2 {
margin-bottom: 30px;
}
@media only screen and (max-width: 600px) {
header {
color: #232830;
top: 100%;
margin-top: 10px;
padding: 40px 10px;
background-color: #fafafa;
border-bottom: 1px solid #e1e1e1;
-webkit-transform: translateY(0%);
-moz-transform: translateY(0%);
-o-transform: translateY(0%);
-ms-transform: translateY(0%);
transform: translateY(0%);
}
header h1 {
font-size: 38px;
margin-bottom: 10px;
}
header h2 {
font-size: 16px;
margin-bottom: 20px;
}
header .btn {
min-width: 136px;
font-size: 14px;
padding: 18px 20px;
margin: 0 5px;
}
}
.content-main {
background-color: #fff;
z-index: 2;
position: relative;
max-width: 1440px;
margin: 0 auto;
}
@media only screen and (max-width: 600px) {
.content-main {
padding-top: 256px;
}
}
.container {
margin: 0 auto;
}
.container:after {
content: '';
display: table;
}
.canvas-holder {
padding: 4px 0;
margin: 20px 0;
position: relative;
}
.canvas-holder img {
width: 100%;
height: auto;
}
.aspect-spacer {
width: 100% !important;
height: auto !important;
display: inline-block;
}
.canvas-node-demo {
position: relative;
}
.canvas-node-demo code {
z-index: -1;
position: absolute;
width: 100%;
top: 50%;
-webkit-transform: translateY(-50%);
-moz-transform: translateY(-50%);
-o-transform: translateY(-50%);
-ms-transform: translateY(-50%);
transform: translateY(-50%);
font-family: "proxima-nova", 'Helvetica Neue', 'Helvetica', 'sans-serif';
text-align: center;
color: #b0bace;
}
.canvas-node-demo .operator {
font-size: 36px;
}
.canvas-node-demo .node-name {
font-size: 50px;
}
.labeled-chart-container {
padding-right: 150px;
min-height: 180px;
position: relative;
}
@media only screen and (max-width: 600px) {
.labeled-chart-container {
padding-right: 130px;
}
}
.doughnut-legend {
list-style: none;
position: absolute;
right: 8px;
top: 0;
}
.doughnut-legend li {
display: block;
padding-left: 30px;
position: relative;
margin-bottom: 4px;
border-radius: 5px;
padding: 2px 8px 2px 28px;
font-size: 14px;
cursor: default;
-webkit-transition: background-color 200ms ease-in-out;
-moz-transition: background-color 200ms ease-in-out;
-o-transition: background-color 200ms ease-in-out;
transition: background-color 200ms ease-in-out;
}
.doughnut-legend li:hover {
background-color: #fafafa;
}
.doughnut-legend li span {
display: block;
position: absolute;
left: 0;
top: 0;
width: 20px;
height: 100%;
border-radius: 5px;
}
.carousel {
white-space: nowrap;
overflow: hidden;
}
.carousel canvas {
display: inline-block;
-webkit-transition: -webkit-transform 400ms ease-out;
-moz-transition: -moz-transform 400ms ease-out;
-o-transition: -o-transform 400ms ease-out;
transition: -webkit-transform 400ms ease-out,-moz-transform 400ms ease-out,-o-transform 400ms ease-out,transform 400ms ease-out;
}
.position-6 canvas {
-webkit-transform: translateX(-500%);
-moz-transform: translateX(-500%);
-o-transform: translateX(-500%);
-ms-transform: translateX(-500%);
transform: translateX(-500%);
}
.position-5 canvas {
-webkit-transform: translateX(-400%);
-moz-transform: translateX(-400%);
-o-transform: translateX(-400%);
-ms-transform: translateX(-400%);
transform: translateX(-400%);
}
.position-4 canvas {
-webkit-transform: translateX(-300%);
-moz-transform: translateX(-300%);
-o-transform: translateX(-300%);
-ms-transform: translateX(-300%);
transform: translateX(-300%);
}
.position-3 canvas {
-webkit-transform: translateX(-200%);
-moz-transform: translateX(-200%);
-o-transform: translateX(-200%);
-ms-transform: translateX(-200%);
transform: translateX(-200%);
}
.position-2 canvas {
-webkit-transform: translateX(-100%);
-moz-transform: translateX(-100%);
-o-transform: translateX(-100%);
-ms-transform: translateX(-100%);
transform: translateX(-100%);
}
.position-1 canvas {
-webkit-transform: translateX(0%);
-moz-transform: translateX(0%);
-o-transform: translateX(0%);
-ms-transform: translateX(0%);
transform: translateX(0%);
}
.hover-highlight {
border-radius: 10px;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
-webkit-transition: background-color 200ms ease-in-out;
-moz-transition: background-color 200ms ease-in-out;
-o-transition: background-color 200ms ease-in-out;
transition: background-color 200ms ease-in-out;
}
.hover-highlight:hover {
background-color: rgba(239, 241, 245, 0.3);
border-radius: 10px;
}
.hover-highlight canvas {
cursor: pointer;
}
#hero-bar {
position: absolute;
left: 0;
top: 0;
z-index: 1;
}
h1 {
font-size: 62px;
font-weight: 600;
}
@media only screen and (max-width: 978px) {
h1 {
font-size: 48px;
}
}
h2 {
font-weight: 400;
}
h3 {
text-align: center;
}
p {
margin: 20px 0;
text-align: center;
font-size: 18px;
line-height: 28px;
}
a {
color: #5b90bf;
text-decoration: none;
border-bottom: 1px solid;
}
.features article {
width: 33.33%;
padding: 40px;
float: left;
}
@media only screen and (max-width: 978px) {
.features article {
width: 50%;
}
.features article:nth-child(2n+1) {
clear: left;
}
}
@media only screen and (max-width: 600px) {
.features article {
width: auto;
float: none;
border-bottom: 1px solid #e1e1e1;
padding: 20px 12px;
}
.features article:last-child {
border-bottom: none;
}
}
.features h3 {
margin: 40px 0 60px 0;
font-size: 32px;
}
@media only screen and (max-width: 600px) {
.features h3 {
font-size: 28px;
}
}
.btn {
margin: 0 10px;
padding: 18px 26px;
min-width: 220px;
border: none;
text-align: center;
display: inline-block;
text-decoration: none;
background-color: #1C1F26;
border-radius: 5px;
font-size: 18px;
color: #dfe1e8;
-webkit-transition: 200ms background-color;
-moz-transition: 200ms background-color;
-o-transition: 200ms background-color;
transition: 200ms background-color;
}
.btn.red {
background-color: #bf616a;
}
.btn.red:hover {
background-color: #b9525c;
}
.btn.blue {
background-color: #5b90bf;
}
.btn.blue:hover {
background-color: #4c86b9;
}
.documentation-button-container {
margin-top: 20px;
}
.badge {
background-color: #ebcb8b;
padding: 4px 8px;
font-size: 14px;
border-radius: 6px;
color: #fff;
vertical-align: top;
margin-left: 4px;
}
footer {
margin-top: 20px;
text-align: center;
clear: both;
}
.download-banner {
padding: 60px 12px;
background-color: #eff1f5;
}
.download-banner h2 {
line-height: 40px;
}
.download-banner h2 span {
padding: 0 5px;
}
@media only screen and (max-width: 600px) {
.download-banner h2 {
line-height: normal;
font-size: 22px;
}
.download-banner h2 span {
display: block;
margin: 12px 0;
font-size: 16px;
}
}
.owner-notice {
padding: 20px 12px;
background-color: #232830;
color: rgba(250, 250, 250, 0.3);
border-top: 10px solid #5b90bf;
-webkit-transition: color 200ms ease-out;
-moz-transition: color 200ms ease-out;
-o-transition: color 200ms ease-out;
transition: color 200ms ease-out;
}
.owner-notice a {
color: rgba(250, 250, 250, 0.3);
-webkit-transition: color 200ms ease-out;
-moz-transition: color 200ms ease-out;
-o-transition: color 200ms ease-out;
transition: color 200ms ease-out;
}
.owner-notice:hover {
color: #fafafa;
}
.owner-notice:hover a {
color: #fafafa;
}
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@@ -1,13 +0,0 @@
{
"name": "Chart.js",
"version": "2.0.0-beta",
"description": "Simple HTML5 Charts using the canvas element",
"homepage": "https://github.com/nnnick/Chart.js",
"author": "nnnick",
"main": [
"Chart.js"
],
"devDependencies": {
"jquery": "~2.1.4"
}
}
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---
---
<!doctype html>
<html>
<head>
<title>Chart.js | Documentation</title>
<link rel="stylesheet" type="text/css" href="../assets/docs.css">
<meta name="viewport" content="width=device-width, user-scalable=no, initial-scale=1.0, minimal-ui">
<script type="text/javascript" src="//use.typekit.net/dqv7hih.js"></script>
<script type="text/javascript">try{Typekit.load();}catch(e){}</script>
</head>
<body>
<aside id="js-toggle-menu">
<ul class="hamburger-menu">
<li></li>
<li></li>
<li></li>
</ul>
<nav>
<ul>
{% for doc in site.collections[1].docs %}
<li id="link-{{ doc.anchor }}">
<a href="#{{ doc.anchor }}">{{ doc.title | escape }}</a>
</li>
{% endfor %}
</ul>
</nav>
</aside>
<section class="docs-container">
<article class="intro">
<h1>Chart.js V2 Documentation</h1>
<h3>Everything you need to know to build great looking charts using Chart.js</h3>
</article>
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---
title: Getting started
anchor: getting-started
---
###Include Chart.js
First we need to include the Chart.js library on the page. The library occupies a global variable of `Chart`.
```html
<script src="Chart.js"></script>
```
Alternatively, if you're using an AMD loader for JavaScript modules, that is also supported in the Chart.js core. Please note: the library will still occupy a global variable of `Chart`, even if it detects `define` and `define.amd`. If this is a problem, you can call `noConflict` to restore the global Chart variable to it's previous owner.
```javascript
// Using requirejs
require(['path/to/Chartjs'], function(Chart){
// Use Chart.js as normal here.
// Chart.noConflict restores the Chart global variable to it's previous owner
// The function returns what was previously Chart, allowing you to reassign.
var Chartjs = Chart.noConflict();
});
```
You can also grab Chart.js using bower, npm, or CDN:
```bash
bower install Chart.js --save
```
```bash
npm install Chart.js --save
```
https://cdnjs.com/libraries/chart.js
###Creating a chart
To create a chart, we need to instantiate the `Chart` class. To do this, we need to pass in the node, jQuery instance, or 2d context of the canvas of where we want to draw the chart. Here's an example.
```html
<canvas id="myChart" width="400" height="400"></canvas>
```
```javascript
// Any of the following formats may be used
var ctx = document.getElementById("myChart");
var ctx = document.getElementById("myChart").getContext("2d");
var ctx = $("myChart");
```
Once you have the element or context, you're ready to instantiate a pre-defined chart-type or create your own!
The following example instantiates a the pre-defined Polar Area chart type with a config object of data and options.
```javascript
var myNewChart = Chart.PolarArea(ctx, {
data: data,
options: options
});
```
To create a scatter chart, which is a special configuration of a line chart, we use the following.
```javascript
var myScatterChart = Chart.Scatter(ctx, {
data: data,
options: options
});
```
Alternatively, we can use the more advanced API to create simple or advanced chart types. In the example below, we are creating a line chart.
```javascript
var myChart = new Chart(ctx, {
type: 'line', // built in types are 'line', 'bar', 'radar', 'polarArea', 'doughnut', 'scatter'
data: data,
options: options
});
```
###Global chart configuration
This concept was introduced in Chart.js 1.0 to keep configuration DRY, and allow for changing options globally across chart types, avoiding the need to specify options for each instance, or the default for a particular chart type.
Chart.js merges configurations and options in a few places with the global defaults using chart type defaults and scales defaults. This way you can be as specific as you want in your individual chart configs, or change the defaults for Chart.js as a whole.
```javascript
Chart.defaults.global = {
responsive: true,
responsiveAnimationDuration: 0,
maintainAspectRatio: true,
events: ["mousemove", "mouseout", "click", "touchstart", "touchmove", "touchend"],
hover: {
onHover: null,
mode: 'single',
animationDuration: 400,
},
onClick: null,
defaultColor: 'rgba(0,0,0,0.1)',
// Element defaults defined in element extensions
elements: {},
// Legend callback function.
// @param {Chart} chart : the chart object to generate a legend for
legendCallback: legendCallback: function(chart) {
var text = [];
text.push('<ul class="' + chart.id + '-legend">');
for (var i = 0; i < chart.data.datasets.length; i++) {
text.push('<li><span style="background-color:' + chart.data.datasets[i].backgroundColor + '">');
if (chart.data.datasets[i].label) {
text.push(chart.data.datasets[i].label);
}
text.push('</span></li>');
}
text.push('</ul>');
return text.join("");
}
animation: {
duration: 1000,
easing: "easeOutQuart",
onProgress: function() {},
onComplete: function() {},
},
tooltips:{
enabled: true,
custom: null,
backgroundColor: "rgba(0,0,0,0.8)",
fontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
fontSize: 10,
fontStyle: "normal",
fontColor: "#fff",
titleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
titleFontSize: 12,
titleFontStyle: "bold",
titleFontColor: "#fff",
yPadding: 6,
xPadding: 6,
caretSize: 8,
cornerRadius: 6,
xOffset: 10,
// V2.0 introduces callback functions as a replacement for the template engine in v1. The tooltip
// has the following callbacks for providing text. For all functions, 'this' will be the tooltip object
// create from the Chart.Tooltip constructor
//
// All functions are called with the same arguments
// - xLabel : string or array of strings. This is the xDataValue for each item to be displayed in the tooltip
// - yLabel : string or array of strings. This is the yDataValue for each item to be displayed in the tooltip
// - index : number. Data index
// - datasetIndex : number. Dataset index
// - data : object. Data object passed to chart
callbacks: {
beforeTitle: helpers.noop,
title: function(xLabel, yLabel, index, datasetIndex, data) {
// If there are multiple items, use the xLabel of the
return helpers.isArray(xLabel) ? xLabel[0] : xLabel;
},
afterTitle: helpers.noop,
beforeBody: helpers.noop,
beforeLabel: helpers.noop,
label: function(xLabel, yLabel, index, datasetIndex, data) {
return this._data.datasets[datasetIndex].label + ': ' + yLabel;
},
afterLabel: helpers.noop,
afterBody: helpers.noop,
beforeFooter: helpers.noop,
footer: helpers.noop,
afterFooter: helpers.noop,
},
multiKeyBackground: '#fff',
},
elements: {
arc: {
backgroundColor: Chart.defaults.global.defaultColor,
borderColor: "#fff",
borderWidth: 2
},
line: {
tension: 0.4,
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 3,
borderColor: Chart.defaults.global.defaultColor,
borderCapStyle: 'butt',
borderDash: [],
borderDashOffset: 0.0,
borderJoinStyle: 'miter',
fill: true, // do we fill in the area between the line and its base axis
skipNull: true,
drawNull: false,
},
point: {
radius: 3,
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 1,
borderColor: Chart.defaults.global.defaultColor,
// Hover
hitRadius: 1,
hoverRadius: 4,
hoverBorderWidth: 1,
},
rectangle: {
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 0,
borderColor: Chart.defaults.global.defaultColor,
}
}
}
```
If for example, you wanted all charts created to be responsive, and resize when the browser window does, the following setting can be changed:
```javascript
Chart.defaults.global.responsive = true;
```
Now, every time we create a chart, `options.responsive` will be `true`.
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---
title: Getting started
anchor: getting-started
---
###Scales
Scales in v2.0 of Chart.js are significantly more powerful, but also different than those of v1.0.
- Multiple x & y axes are now supported.
- A built-in label auto-skip feature now detects would-be overlapping ticks and labels and removes every nth label to keep things displaying normally.
- Scale labels
Every scale extends a core scale class with the following options:
```javascript
Chart.defaults.scale = {
display: true,
// grid line settings
gridLines: {
show: true,
color: "rgba(0, 0, 0, 0.1)",
lineWidth: 1,
drawOnChartArea: true,
drawTicks: true,
zeroLineWidth: 1,
zeroLineColor: "rgba(0,0,0,0.25)",
offsetGridLines: false,
},
// scale label
scaleLabel: {
fontColor: '#666',
fontFamily: 'Helvetica Neue',
fontSize: 12,
fontStyle: 'normal',
// actual label
labelString: '',
// display property
show: false,
},
// label settings
ticks: {
beginAtZero: false,
fontSize: 12,
fontStyle: "normal",
fontColor: "#666",
fontFamily: "Helvetica Neue",
maxRotation: 90,
minRotation: 20,
mirror: false,
padding: 10,
reverse: false,
show: true,
template: "<%=value%>",
userCallback: false,
},
};
```
The `userCallback` method may be used for advanced tick customization. The following callback would display every label in scientific notation
```javascript
{
scales: {
xAxes: [{
ticks: {
// Return an empty string to draw the tick line but hide the tick label
// Return `null` or `undefined` to hide the tick line entirely
userCallback: function(value, index, values) {
return value.toExponential();
}
}
}]
}
}
```
#### Category Scale
The category scale will be familiar to those who have used v1.0. Labels are drawn in from the labels array included in the chart data.
The category scale extends the core scale class with the following tick template:
```javascript
{
position: "bottom",
}
```
#### Linear Scale
The linear scale can be used to display numerical data. It can be placed on either the x or y axis. The scatter chart type automatically configures a line chart to use one of these scales for the x axis.
The linear scale extends the core scale class with the following tick template:
```javascript
{
position: "left",
}
```
#### Logarithmic Scale
The logarithmic scale is used to display logarithmic data of course. It can be placed on either the x or y axis.
The log scale extends the core scale class with the following tick template:
```javascript
{
position: "left",
ticks: {
template: "<%var remain = value / (Math.pow(10, Math.floor(Chart.helpers.log10(value))));if (remain === 1 || remain === 2 || remain === 5) {%><%=value.toExponential()%><%} else {%><%= null %><%}%>",
}
}
```
#### Time Scale
The time scale is used to display times and dates. It can be placed on the x axis. When building its ticks, it will automatically calculate the most comfortable unit base on the size of the scale.
The time scale extends the core scale class with the following tick template:
```javascript
{
position: "bottom",
time: {
// string/callback - By default, date objects are expected. You may use a pattern string from http://momentjs.com/docs/#/parsing/string-format/ to parse a time string format, or use a callback function that is passed the label, and must return a moment() instance.
format: false,
// string - By default, unit will automatically be detected. Override with 'week', 'month', 'year', etc. (see supported time measurements)
unit: false,
// string - By default, no rounding is applied. To round, set to a supported time unit eg. 'week', 'month', 'year', etc.
round: false,
// string - By default, is set to the detected (or manually overridden) time unit's `display` property (see supported time measurements). To override, use a pattern string from http://momentjs.com/docs/#/displaying/format/
displayFormat: false
},
}
```
The following time measurements are supported:
```javascript
{
'millisecond': {
display: 'SSS [ms]', // 002 ms
maxStep: 1000,
},
'second': {
display: 'h:mm:ss a', // 11:20:01 AM
maxStep: 60,
},
'minute': {
display: 'h:mm:ss a', // 11:20:01 AM
maxStep: 60,
},
'hour': {
display: 'MMM D, hA', // Sept 4, 5PM
maxStep: 24,
},
'day': {
display: 'll', // Sep 4 2015
maxStep: 7,
},
'week': {
display: 'll', // Week 46, or maybe "[W]WW - YYYY" ?
maxStep: 4.3333,
},
'month': {
display: 'MMM YYYY', // Sept 2015
maxStep: 12,
},
'quarter': {
display: '[Q]Q - YYYY', // Q3
maxStep: 4,
},
'year': {
display: 'YYYY', // 2015
maxStep: false,
},
}
```
#### Radial Linear Scale
The radial linear scale is used specifically for the radar chart type.
The radial linear scale extends the core scale class with the following tick template:
```javascript
{
animate: true,
lineArc: false,
position: "chartArea",
angleLines: {
show: true,
color: "rgba(0, 0, 0, 0.1)",
lineWidth: 1
},
// label settings
ticks: {
//Boolean - Show a backdrop to the scale label
showLabelBackdrop: true,
//String - The colour of the label backdrop
backdropColor: "rgba(255,255,255,0.75)",
//Number - The backdrop padding above & below the label in pixels
backdropPaddingY: 2,
//Number - The backdrop padding to the side of the label in pixels
backdropPaddingX: 2,
},
pointLabels: {
//String - Point label font declaration
fontFamily: "'Arial'",
//String - Point label font weight
fontStyle: "normal",
//Number - Point label font size in pixels
fontSize: 10,
//String - Point label font colour
fontColor: "#666",
},
}
```
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---
title: Bar Chart
anchor: bar-chart
---
### Introduction
A bar chart is a way of showing data as bars.
It is sometimes used to show trend data, and the comparison of multiple data sets side by side.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
### Example usage
```javascript
var myBarChart = new Chart(ctx).Bar({
data: data,
options: options
});
```
### Data structure
```javascript
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
// The properties below allow an array to be specified to change the value of the item at the given index
// String or array - the bar color
backgroundColor: "rgba(220,220,220,0.2)",
// String or array - bar stroke color
borderColor: "rgba(220,220,220,1)",
// Number or array - bar border width
borderWidth: 1,
// String or array - fill color when hovered
hoverBackgroundColor: "rgba(220,220,220,0.2)",
// String or array - border color when hovered
hoverBorderColor: "rgba(220,220,220,1)",
// The actual data
data: [65, 59, 80, 81, 56, 55, 40],
// String - If specified, binds the dataset to a certain y-axis. If not specified, the first y-axis is used.
yAxisID: "y-axis-1",
},
{
label: "My Second dataset",
backgroundColor: "rgba(220,220,220,0.2)",
borderColor: "rgba(220,220,220,1)",
borderWidth: 1,
hoverBackgroundColor: "rgba(220,220,220,0.2)",
hoverBorderColor: "rgba(220,220,220,1)",
data: [28, 48, 40, 19, 86, 27, 90]
}
]
};
```
The bar chart has the a very similar data structure to the line chart, and has an array of datasets, each with colours and an array of data. Again, colours are in CSS format.
We have an array of labels too for display. In the example, we are showing the same data as the previous line chart example.
The label key on each dataset is optional, and can be used when generating a scale for the chart.
### Chart Options
These are the customisation options specific to Bar charts. These options are merged with the [global chart configuration options](#getting-started-global-chart-configuration), and form the options of the chart.
```javascript
{
// Boolean - if true, bars stack on top of each other
stacked: false,
hover: {
// String - We use a label hover mode since the x axis displays data by the index in the dataset
mode: "label"
},
scales: {
// The bar chart officially supports only 1 x-axis but uses an array to keep the API consistent. Use a scatter chart if you need multiple x axes.
xAxes: [{
// String - type of axis to use. Should not be changed from 'dataset'.
scaleType: "dataset", // scatter should not use a dataset axis
// Boolean - if true, show the scale
display: true,
// String - position of the scale. possible options are "top" and "bottom" for dataset scales
position: "bottom",
// String - id of the axis so that data can bind to it
id: "x-axis-1", // need an ID so datasets can reference the scale
// grid line settings
gridLines: {
// Boolean - if true, show the grid lines
show: true,
// String - color of the grid lines
color: "rgba(0, 0, 0, 0.05)",
// Number - width of the grid lines
lineWidth: 1,
// Boolean - if true draw lines on the chart area
drawOnChartArea: true,
// Boolean - if true draw ticks in the axis area
drawTicks: true,
// Number - width of the grid line for the first index (index 0)
zeroLineWidth: 1,
// String - color of the grid line for the first index
zeroLineColor: "rgba(0,0,0,0.25)",
// Boolean - if true, offset labels from grid lines
offsetGridLines: false,
},
// label settings
labels: {
// Boolean - if true show labels
show: true,
// String - template string for labels
template: "<%=value%>",
// Number - label font size
fontSize: 12,
// String - label font style
fontStyle: "normal",
// String - label font color
fontColor: "#666",
// String - label font family
fontFamily: "Helvetica Neue",
},
}],
yAxes: [{
// String - type of axis. 'linear' is the default but extensions may provide other types such as logarithmic
scaleType: "linear",
// Boolean - if true, show the scale
display: true,
// String - position of axis. Vertical axes can have either "left" or "right"
position: "left",
// ID of the axis for data binding
id: "y-axis-1",
// grid line settings
gridLines: {
// Boolean - if true, show the grid lines
show: true,
// String - color of the grid lines
color: "rgba(0, 0, 0, 0.05)",
// Number - width of the grid lines
lineWidth: 1,
// Boolean - if true draw lines on the chart area
drawOnChartArea: true,
// Boolean - if true draw ticks in the axis area
drawTicks: true,
// Number - width of the grid line representing a numerical value of 0
zeroLineWidth: 1,
// String - color of the grid line representing a numerical value of 0
zeroLineColor: "rgba(0,0,0,0.25)",
},
// Boolean - if true ensures that the scale always has a 0 point
beginAtZero: false,
// Object - if specified, allows the user to override the step generation algorithm.
// Contains the following values
// start: // number to start at
// stepWidth: // size of step
// steps: // number of steps
override: null,
// label settings
labels: {
// Boolean - if true show labels
show: true,
// String - template string for labels
template: "<%=value%>",
// Function - if specified this is passed the tick value, index, and the array of all tick values. Returns a string that is used as the label for that value
userCallback: null,
// Number - label font size
fontSize: 12,
// String - label font style
fontStyle: "normal",
// String - label font color
fontColor: "#666",
// String - label font family
fontFamily: "Helvetica Neue",
},
}],
},
};
```
You can override these for your `Chart` instance by passing a second argument into the `Bar` method as an object with the keys you want to override.
For example, we could have a bar chart without a stroke on each bar by doing the following:
```javascript
new Chart(ctx).Bar({
data: data,
options: {
barShowStroke: false
}
});
// This will create a chart with all of the default options, merged from the global config,
// and the Bar chart defaults but this particular instance will have `barShowStroke` set to false.
```
We can also change these defaults values for each Bar type that is created, this object is available at `Chart.defaults.Bar`.
### Prototype methods
#### .getBarsAtEvent( event )
Calling `getBarsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the bar elements that are at that the same position of that event.
```javascript
canvas.onclick = function(evt){
var activeBars = myBarChart.getBarsAtEvent(evt);
// => activeBars is an array of bars on the canvas that are at the same position as the click event.
};
```
This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
#### .update( )
Calling `update()` on your Chart instance will re-render the chart with any updated values, allowing you to edit the value of multiple existing points, then render those in one animated render loop.
```javascript
myBarChart.datasets[0].bars[2].value = 50;
// Would update the first dataset's value of 'March' to be 50
myBarChart.update();
// Calling update now animates the position of March from 90 to 50.
```
#### .addData( valuesArray, label )
Calling `addData(valuesArray, label)` on your Chart instance passing an array of values for each dataset, along with a label for those bars.
```javascript
// The values array passed into addData should be one for each dataset in the chart
myBarChart.addData([40, 60], "August");
// The new data will now animate at the end of the chart.
```
#### .removeData( )
Calling `removeData()` on your Chart instance will remove the first value for all datasets on the chart.
```javascript
myBarChart.removeData();
// The chart will now animate and remove the first bar
```
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---
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<html>
<head>
<title>Chart.js | Documentation</title>
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<meta name="viewport" content="width=device-width, user-scalable=no, initial-scale=1.0, minimal-ui">
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<script type="text/javascript">try{Typekit.load();}catch(e){}</script>
</head>
<body>
<aside id="js-toggle-menu">
<ul class="hamburger-menu">
<li></li>
<li></li>
<li></li>
</ul>
<nav>
<ul>
{% for doc in site.collections[0].docs %}
<li id="link-{{ doc.anchor }}">
<a href="#{{ doc.anchor }}">{{ doc.title | escape }}</a>
</li>
{% endfor %}
</ul>
</nav>
</aside>
<section class="docs-container">
<article class="intro">
<h1>Chart.js V1 Documentation</h1>
<h3>Everything you need to know to build great looking charts using Chart.js</h3>
</article>
{% for doc in site.collections[0].docs %}
<article id="{{ doc.anchor }}">
<h2>{{ doc.title | escape }}</h2>
{{ doc.content }}
</article>
{% endfor %}
</section>
<script src="../assets/Chart.min.js"></script>
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var gulp = require('gulp'),
concat = require('gulp-concat'),
uglify = require('gulp-uglify'),
util = require('gulp-util'),
jshint = require('gulp-jshint'),
size = require('gulp-size'),
connect = require('gulp-connect'),
replace = require('gulp-replace'),
htmlv = require('gulp-html-validator'),
inquirer = require('inquirer'),
semver = require('semver'),
exec = require('child_process').exec,
fs = require('fs'),
package = require('./package.json'),
bower = require('./bower.json'),
karma = require('gulp-karma');
var srcDir = './src/';
var testDir = './test/';
/*
* Usage : gulp build --types=Bar,Line,Doughnut
* Output: - A built Chart.js file with Core and types Bar, Line and Doughnut concatenated together
* - A minified version of this code, in Chart.min.js
*/
var srcFiles = [
'./node_modules/color/dist/color.min.js',
'./src/core/core.js',
'./src/core/core.helpers.js',
'./src/core/core.chart.js',
'./src/core/core.element.js',
'./src/core/**',
'./src/controllers/**',
'./src/scales/**',
'./src/elements/**',
'./src/charts/**',
];
var preTestFiles = [
'./node_modules/moment/min/moment.min.js',
];
var testFiles = [
'./test/mockContext.js',
'./test/*.js'
];
gulp.task('build', buildTask);
gulp.task('coverage', coverageTask);
gulp.task('watch', watchTask);
gulp.task('bump', bumpTask);
gulp.task('release', ['build'], releaseTask);
gulp.task('jshint', jshintTask);
gulp.task('test', ['jshint', 'validHTML', 'unittest']);
gulp.task('size', ['library-size', 'module-sizes']);
gulp.task('server', serverTask);
gulp.task('validHTML', validHTMLTask);
gulp.task('unittest', unittestTask);
gulp.task('unittestWatch', unittestWatchTask);
gulp.task('library-size', librarySizeTask);
gulp.task('module-sizes', moduleSizesTask);
gulp.task('_open', _openTask);
gulp.task('dev', ['server', 'default']);
gulp.task('default', ['build', 'watch']);
function buildTask() {
var isCustom = !!(util.env.types),
outputDir = (isCustom) ? 'custom' : '.';
return gulp.src(srcFiles)
.pipe(concat('Chart.js'))
.pipe(replace('{{ version }}', package.version))
.pipe(gulp.dest(outputDir))
.pipe(uglify({
preserveComments: 'some'
}))
.pipe(concat('Chart.min.js'))
.pipe(gulp.dest(outputDir));
}
/*
* Usage : gulp bump
* Prompts: Version increment to bump
* Output: - New version number written into package.json & bower.json
*/
function bumpTask(complete) {
util.log('Current version:', util.colors.cyan(package.version));
var choices = ['major', 'premajor', 'minor', 'preminor', 'patch', 'prepatch', 'prerelease'].map(function(versionType) {
return versionType + ' (v' + semver.inc(package.version, versionType) + ')';
});
inquirer.prompt({
type: 'list',
name: 'version',
message: 'What version update would you like?',
choices: choices
}, function(res) {
var increment = res.version.split(' ')[0],
newVersion = semver.inc(package.version, increment);
// Set the new versions into the bower/package object
package.version = newVersion;
bower.version = newVersion;
// Write these to their own files, then build the output
fs.writeFileSync('package.json', JSON.stringify(package, null, 2));
fs.writeFileSync('bower.json', JSON.stringify(bower, null, 2));
complete();
});
}
function releaseTask() {
exec('git tag -a v' + package.version);
}
function jshintTask() {
return gulp.src(srcDir + '**/*.js')
.pipe(jshint())
.pipe(jshint.reporter('default'));
}
function validHTMLTask() {
return gulp.src('samples/*.html')
.pipe(htmlv());
}
function unittestTask() {
var files = srcFiles.slice();
Array.prototype.unshift.apply(files, preTestFiles);
Array.prototype.push.apply(files, testFiles);
return gulp.src(files)
.pipe(karma({
configFile: 'karma.conf.ci.js',
action: 'run'
}));
}
function unittestWatchTask() {
var files = srcFiles.slice();
Array.prototype.unshift.apply(files, preTestFiles);
Array.prototype.push.apply(files, testFiles);
return gulp.src(files)
.pipe(karma({
configFile: 'karma.conf.js',
action: 'watch'
}));
}
function coverageTask() {
var files = srcFiles.slice();
Array.prototype.unshift.apply(files, preTestFiles);
Array.prototype.push.apply(files, testFiles);
return gulp.src(files)
.pipe(karma({
configFile: 'karma.coverage.conf.js',
action: 'run'
}));
}
function librarySizeTask() {
return gulp.src('Chart.min.js')
.pipe(size({
gzip: true
}));
}
function moduleSizesTask() {
return gulp.src(srcDir + '*.js')
.pipe(uglify({
preserveComments: 'some'
}))
.pipe(size({
showFiles: true,
gzip: true
}));
}
function watchTask() {
if (util.env.test) {
return gulp.watch('./src/**', ['build', 'unittest', 'unittestWatch']);
}
return gulp.watch('./src/**', ['build']);
}
function serverTask() {
connect.server({
port: 8000
});
}
// Convenience task for opening the project straight from the command line
function _openTask() {
exec('open http://localhost:8000');
exec('subl .');
}
+558
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---
---
<!doctype html>
<html>
<head>
<title>Chart.js | Open source HTML5 Charts for your website</title>
<meta name="description" content="Simple, clean and engaging HTML5 based JavaScript charts. Chart.js is an easy way to include animated, interactive graphs on your website for free."/>
<link rel="stylesheet" type="text/css" href="assets/styles.css">
<meta name="viewport" content="width=device-width, user-scalable=no, initial-scale=1.0, minimal-ui">
<script type="text/javascript" src="//use.typekit.net/dqv7hih.js"></script>
<script type="text/javascript">try{Typekit.load();}catch(e){}</script>
</head>
<body>
<div class="aspect-ratio">
<canvas width='1200' height='480' id="hero-bar"></canvas>
<header>
<h1>Chart.js</h1>
<h2>Simple, clean and engaging charts for designers and developers</h2>
<a class="btn red" href="https://github.com/nnnick/Chart.js">Download</a>
<div class="documentation-button-container">
<a class="btn blue" href="{{ site.baseurl }}/docs">V1 Documentation</a>
<a class="btn blue" href="{{ site.baseurl }}/docs-v2">V2 Documentation</a>
</div>
</header>
</div>
<div class="content-main">
<section class="features container">
<article>
<h3>Six chart types</h3>
<div id="js-carousel" class="canvas-holder hover-highlight carousel position-1"><canvas width="400" height="250" id="carousel-radar"></canvas><canvas width="400" height="250" id="carousel-polar-area"></canvas><canvas width="400" height="250" id="carousel-bar"></canvas><canvas width="400" height="250" id="carousel-doughnut"></canvas><canvas width="400" height="250" id="carousel-line"></canvas><canvas width="400" height="250" id="carousel-pie"></canvas></div>
<p>Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.</p>
</article>
<article>
<h3>HTML5 based</h3>
<div id="js-mouse-bubbles" class="canvas-holder canvas-node-demo hover-highlight">
<code>
<span class="operator">&lt;</span><span class="node-name">canvas</span><span class="operator">&gt;</span>
</code>
<canvas width="400" height="250" class="aspect-spacer"></canvas>
</div>
<p>Chart.js uses the HTML5 canvas element. It's supported in all modern browsers, and polyfills support for IE7/8.</p>
</article>
<article>
<h3>Simple and flexible</h3>
<div class="canvas-holder hover-highlight">
<canvas width="400" height="250" id="micro-line"></canvas>
</div>
<p>Chart.js is dependency free and super lightweight. All six core chart types are only <strong>11.01kb</strong> when minified, concatenated and served gzipped.</p>
</article>
<article>
<h3>Responsive <span class="badge new">new</span></h3>
<div class="canvas-holder">
<img width="400" height="250" src="assets/responsive.svg"/>
</div>
<p>Chart.js will resize your chart if the browser changes size, along with providing the perfect scale granularity for that size</p>
</article>
<article>
<h3>Modular <span class="badge new">new</span></h3>
<div class="labeled-chart-container">
<div class="canvas-holder">
<canvas id="modular-doughnut" width="250" height="250">
</canvas>
</div>
</div>
<p>Chart.js is modular, and each of the chart types have been split up, so you can load only which chart types you need for your project</p>
</article>
<article>
<h3>Interactive <span class="badge new">new</span></h3>
<div class="canvas-holder half">
<canvas id="interactive-bar" width="400" height="250">
</canvas>
</div>
<p>Chart.js provides default simple support for canvas tooltips on hover/touch, but you can extend chart interactions to trigger events in your application</p>
</article>
</section>
</div>
<footer>
<div class="download-banner">
<h2><a href="https://github.com/nnnick/Chart.js">Download on GitHub</a><span> or </span><a href="/docs">Read detailed documentation</a></h2>
</div>
<div class="owner-notice">
A project by <a href="http://www.nickdownie.com">Nick Downie</a>
</div>
</footer>
<script src="assets/Chart.min.js"></script>
<script>(function(){
// Colour variables
var red = "#bf616a",
blue = "#5B90BF",
orange = "#d08770",
yellow = "#ebcb8b",
green = "#a3be8c",
teal = "#96b5b4",
pale_blue = "#8fa1b3",
purple = "#b48ead",
brown = "#ab7967";
var baseDataset = {
fill: 'rgba(222,225,232,0.4)',
stroke: 'rgba(222,225,232,1)',
highlight: 'rgba(222,225,232,0.8)',
highlightStroke: 'rgba(222,225,232,1)'
},
overlayDataset = {
fill: 'rgba(91,144,191,0.4)',
stroke: 'rgba(91,144,191,1)',
highlight: 'rgba(91,144,191,0.8)',
highlightStroke: 'rgba(91,144,191,1)'
};
var data = [],
barsCount = 50,
labels = new Array(barsCount),
updateDelayMax = 500,
$id = function(id){
return document.getElementById(id);
},
random = function(max){ return Math.round(Math.random()*100)},
helpers = Chart.helpers;
Chart.defaults.global.responsive = true;
for (var i = barsCount - 1; i >= 0; i--) {
data.push(Math.round(Math.random() * 100));
};
new Chart($id('hero-bar').getContext('2d')).Bar({
labels : labels,
datasets : [{
fillColor : '#2B303B',
data : data
}]
},{
showScale : false,
barShowStroke : false,
barValueSpacing: 1,
showTooltips : false,
onAnimationComplete : function(){
// Get scope of the hero chart during updates
var heroChart = this,
timeout;
// Stop this running every time the update is fired
this.options.onAnimationComplete = randomUpdate;
this.options.animationEasing = 'easeOutQuint';
randomUpdate();
function randomUpdate(){
heroChart.stop();
clearTimeout(timeout);
// Get a random bar
timeout = setTimeout(function(){
var randomNumberOfBars = Math.floor(Math.random() * barsCount),
i;
for (i = randomNumberOfBars - 1; i >= 0; i--) {
heroChart.datasets[0].bars[Math.floor(Math.random() * barsCount)].value = Math.round(Math.random() * 100);
};
heroChart.update();
},Math.random() * updateDelayMax);
};
}
});
//Run any of the smaller demo charts here.
// Six up carousel
(function(){
var contexts = {
polar : $id('carousel-polar-area').getContext('2d'),
radar : $id('carousel-radar').getContext('2d'),
line : $id('carousel-line').getContext('2d'),
bar : $id('carousel-bar').getContext('2d'),
doughnut : $id('carousel-doughnut').getContext('2d'),
pie : $id('carousel-pie').getContext('2d')
},
chartInstances = [];
var data = {
multiSets: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
fillColor: baseDataset.fill,
strokeColor: baseDataset.stroke,
pointColor: baseDataset.stroke,
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
highlightFill: baseDataset.highlight,
pointHighlightStroke: baseDataset.highlightStroke,
data: [65, 59, 90, 81, 56, 55, 40]
},
{
label: "My Second dataset",
fillColor: overlayDataset.fill,
strokeColor: overlayDataset.stroke,
pointColor: overlayDataset.stroke,
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: overlayDataset.highlightStroke,
highlightFill: overlayDataset.highlight,
data: [28, 48, 40, 19, 96, 27, 100]
}
]
},
segments : [
{
value : 25,
color : orange,
highlight : Colour(orange, 10),
label : "Orange"
},
{
value: 14,
color: blue,
highlight : Colour(blue, 10),
label : "Blue"
},
{
value: 6,
color: yellow,
highlight : Colour(yellow, 10),
label : "Yellow"
},
{
value : 28,
color : purple,
highlight : Colour(purple, 10),
label : "Purple"
},
{
value: 18,
color: teal,
highlight: Colour(teal, 10),
label: "Teal"
}
]
}
var config = {
animation: false,
onAnimationComplete: function(){
this.options.animation = true;
}
};
chartInstances.push(new Chart(contexts.radar).Radar(data.multiSets, config));
chartInstances.push(new Chart(contexts.polar).PolarArea(data.segments, config));
chartInstances.push(new Chart(contexts.bar).Bar(data.multiSets, config));
chartInstances.push(new Chart(contexts.doughnut).Doughnut(data.segments, config));
chartInstances.push(new Chart(contexts.line).Line(data.multiSets, config));
chartInstances.push(new Chart(contexts.pie).Pie(data.segments, config));
var iteratePosition = (function(){
var position = 1;
return function(){
position++;
return (position > chartInstances.length) ? position = 1 : position;
};
})();
var carousel = $id('js-carousel');
helpers.addEvent(carousel, 'click', function(){
var positionPrefix = 'position-',
carouselPosition = iteratePosition(),
chartToScrollTo = chartInstances[carouselPosition-1];
this.className = this.className.replace(new RegExp(positionPrefix+'[1-6]'), positionPrefix+carouselPosition);
chartToScrollTo.clear();
chartToScrollTo.render();
});
})();
// Canvas demo
(function(){
var mousetrap = $id('js-mouse-bubbles'),
canvas = mousetrap.getElementsByTagName('canvas')[0],
ctx = canvas.getContext('2d'),
colour = 'rgba(239,241,245, <%= alpha %>)',
maxSize = 50;
helpers.retinaScale({
canvas: canvas,
ctx: ctx
});
canvas.style.width = '100%';
canvas.style.height = 'auto';
helpers.addEvent(mousetrap, 'mousemove', drawTriangle);
helpers.addEvent(mousetrap, 'click', function(){
helpers.clear({
width: canvas.width,
height: canvas.height,
ctx: ctx
});
});
setInterval(function(){
setTimeout(drawTriangle, Math.random() * 400)
}, 150);
function drawTriangle(){
var x = Math.random() * canvas.width,
y = Math.random() * canvas.height,
width = Math.round((maxSize * Math.random() / 2)),
height = Math.sqrt(3) * width;
ctx.save();
ctx.translate(x, y);
ctx.rotate(Math.random() * (Math.PI * 2));
ctx.beginPath();
ctx.moveTo(-1 * width, 0);
ctx.lineTo(0, -1 * height);
ctx.lineTo(width, 0);
ctx.closePath();
ctx.fillStyle = colour.replace('<%= alpha %>', Math.random() + 0.2);
ctx.fill();
ctx.restore();
};
})();
// Simple & flexible
// Micro line chart
(function(){
var canvas = $id('micro-line'),
ctx = canvas.getContext('2d'),
lineChartData = [0, 6, 9, 10, 11, 14, 20];
var Line = new Chart(ctx).Line({
labels: new Array(lineChartData.length),
datasets: [{
strokeColor: overlayDataset.stroke,
pointColor: '#fff',
pointStrokeColor: overlayDataset.stroke,
data: lineChartData
}]
}, {
showScale: false,
showTooltips: false,
datasetStrokeWidth: 6,
datasetFill: false,
pointDotRadius : 9,
pointDotStrokeWidth: 4,
animation: false,
animationEasing: 'easeInOutQuint',
onAnimationComplete: function(){
this.options.animation = true;
}
});
helpers.addEvent(canvas, 'click', function(){
lineChartData.reverse();
Line.stop();
helpers.each(Line.datasets[0].points, function(point, index){
point.value = lineChartData[index];
});
Line.update();
})
})();
// Modular doughnut
(function(){
var canvas = $id('modular-doughnut'),
colours = {
"Core": blue,
"Line": orange,
"Bar": teal,
"Polar Area": purple,
"Radar": brown,
"Doughnut": green
};
var moduleData = [
{
value: 7.57,
color: colours["Core"],
highlight: Colour(colours["Core"], 10),
label: "Core"
},
{
value: 1.63,
color: colours["Bar"],
highlight: Colour(colours["Bar"], 10),
label: "Bar"
},
{
value: 1.09,
color: colours["Doughnut"],
highlight: Colour(colours["Doughnut"], 10),
label: "Doughnut"
},
{
value: 1.71,
color: colours["Radar"],
highlight: Colour(colours["Radar"], 10),
label: "Radar"
},
{
value: 1.64,
color: colours["Line"],
highlight: Colour(colours["Line"], 10),
label: "Line"
},
{
value: 1.37,
color: colours["Polar Area"],
highlight: Colour(colours["Polar Area"], 10),
label: "Polar Area"
}
];
//
{% raw %}
var moduleDoughnut = new Chart(canvas.getContext('2d')).Doughnut(moduleData, { tooltipTemplate : "<%if (label){%><%=label%>: <%}%><%= value %>kb", animation: false });
{% endraw %}
//
var legendHolder = document.createElement('div');
legendHolder.innerHTML = moduleDoughnut.generateLegend();
// Include a html legend template after the module doughnut itself
helpers.each(legendHolder.firstChild.childNodes, function(legendNode, index){
helpers.addEvent(legendNode, 'mouseover', function(){
var activeSegment = moduleDoughnut.segments[index];
activeSegment.save();
activeSegment.fillColor = activeSegment.highlightColor;
moduleDoughnut.showTooltip([activeSegment]);
activeSegment.restore();
});
});
helpers.addEvent(legendHolder.firstChild, 'mouseout', function(){
moduleDoughnut.draw();
});
canvas.parentNode.parentNode.appendChild(legendHolder.firstChild);
})();
// Interative micro bar chart
(function(){
var canvas = $id('interactive-bar'),
ctx = canvas.getContext('2d'),
microBar = new Chart(ctx).Bar({
labels: new Array(7),
datasets: [{
fillColor : "rgba(239,241,245,1)",
strokeColor : "rgba(0,0,0,0)",
highlightFill: "rgba(230,233,240,1)",
data: [random(), random(), random(), random(), random(), random(), random()]
}]
}, {
animation: false,
showScale: false,
barShowStroke: false,
tooltipXPadding: 10,
tooltipYPadding: 6,
tooltipFontSize: 18,
tooltipFontStyle: 'bold',
// Boolean - If we want to override with a hard coded scale
scaleOverride: true,
// ** Required if scaleOverride is true **
// Number - The number of steps in a hard coded scale
scaleSteps: 2,
// Number - The value jump in the hard coded scale
scaleStepWidth: 50,
// Number - The scale starting value
scaleStartValue: 0,
});
helpers.addEvent(canvas, 'mousemove', function(evt){
var bars =microBar.getBarsAtEvent(evt);
if (bars.length > 0){
canvas.style.cursor = "pointer";
}
else {
canvas.style.cursor = "default";
}
});
helpers.addEvent(canvas, 'click', function(evt){
microBar.options.animation = true;
microBar.options.onAnimationComplete = function(){
this.showTooltip(this.activeElements, true);
};
var bars = microBar.getBarsAtEvent(evt);
helpers.each(bars, function(bar){
bar.value = Math.max(random(), 5);
});
if (bars.length > 0){
microBar.update();
}
});
})();
function Colour(col, amt) {
var usePound = false;
if (col[0] == "#") {
col = col.slice(1);
usePound = true;
}
var num = parseInt(col,16);
var r = (num >> 16) + amt;
if (r > 255) r = 255;
else if (r < 0) r = 0;
var b = ((num >> 8) & 0x00FF) + amt;
if (b > 255) b = 255;
else if (b < 0) b = 0;
var g = (num & 0x0000FF) + amt;
if (g > 255) g = 255;
else if (g < 0) g = 0;
return (usePound?"#":"") + (g | (b << 8) | (r << 16)).toString(16);
}
})();
</script>
<script> (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-28909194-3', 'auto');
ga('send', 'pageview');</script>
</body>
</html>
-7
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module.exports = function(config) {
config.set({
browsers: ['Firefox'],
frameworks: ['jasmine'],
reporters: ['progress', 'html'],
});
};
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module.exports = function(config) {
config.set({
browsers: ['Chrome', 'Firefox'],
frameworks: ['jasmine'],
reporters: ['progress', 'html'],
});
};
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module.exports = function(config) {
config.set({
browsers: ['Chrome', 'Firefox'],
coverageReporter: {
type: 'html',
dir: 'coverage/'
},
frameworks: ['jasmine'],
preprocessors: {
'src/**/*.js': ['coverage']
},
reporters: ['progress', 'coverage'],
});
};
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{
"name": "chart.js",
"homepage": "http://www.chartjs.org",
"description": "Simple HTML5 charts using the canvas element.",
"version": "2.0.0-beta",
"main": "Chart.js",
"repository": {
"type": "git",
"url": "https://github.com/nnnick/Chart.js.git"
},
"devDependencies": {
"color": "git://github.com/chartjs/color",
"gulp": "3.5.x",
"gulp-concat": "~2.1.x",
"gulp-connect": "~2.0.5",
"gulp-html-validator": "^0.0.2",
"gulp-jshint": "~1.5.1",
"gulp-karma": "0.0.4",
"gulp-replace": "^0.4.0",
"gulp-size": "~0.4.0",
"gulp-uglify": "~0.2.x",
"gulp-util": "~2.2.x",
"inquirer": "^0.5.1",
"jasmine": "^2.3.2",
"jasmine-core": "^2.3.4",
"jquery": "^2.1.4",
"karma": "^0.12.37",
"karma-chrome-launcher": "^0.2.0",
"karma-coverage": "^0.5.1",
"karma-firefox-launcher": "^0.1.6",
"karma-jasmine": "^0.3.6",
"karma-jasmine-html-reporter": "^0.1.8",
"semver": "^3.0.1"
},
"spm": {
"main": "Chart.js"
},
"dependencies": {
"moment": "^2.10.6"
}
}
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<!doctype html>
<html>
<head>
<title>Bar Chart Multi Axis</title>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<script src="../Chart.js"></script>
</head>
<body>
<div style="width: 50%">
<canvas id="canvas" height="450" width="600"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function() {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
};
var barChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: 'Dataset 1',
backgroundColor: "rgba(220,220,220,0.5)",
yAxisID: "y-axis-1",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
yAxisID: "y-axis-2",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 3',
backgroundColor: [randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor()],
yAxisID: "y-axis-1",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myBar = Chart.Bar(ctx, {
data: barChartData,
options: {
responsive: true,
hoverMode: 'label',
hoverAnimationDuration: 400,
stacked: false,
scales: {
yAxes: [{
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "left",
id: "y-axis-1",
}, {
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "right",
id: "y-axis-2",
gridLines: {
drawOnChartArea: false
}
}],
}
}
});
};
$('#randomizeData').click(function() {
$.each(barChartData.datasets, function(i, dataset) {
if (Chart.helpers.isArray(dataset.backgroundColor)) {
dataset.backgroundColor= [randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor()];
} else {
dataset.backgroundColor= randomColor();
}
dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
});
window.myBar.update();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Stacked Bar Chart</title>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<script src="../Chart.js"></script>
</head>
<body>
<div style="width: 50%">
<canvas id="canvas" height="450" width="600"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var barChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: 'Dataset 1',
backgroundColor: "rgba(220,220,220,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 3',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myBar = new Chart(ctx, {
type: 'bar',
data: barChartData,
options: {
responsive: true,
scales: {
xAxes: [{
stacked: true,
}],
yAxes: [{
stacked: true
}]
}
}
});
};
$('#randomizeData').click(function() {
$.each(barChartData.datasets, function(i, dataset) {
dataset.backgroundColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
});
window.myBar.update();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Bar Chart</title>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<script src="../Chart.js"></script>
<style type="text/css">
canvas {
border: 1px solid red;
}
</style>
</head>
<body>
<div id="container" style="width: 50%; height: 25%;">
<canvas id="canvas" height="450" width="600"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<button id="show">Show</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function() {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
};
var barChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: 'Dataset 1',
backgroundColor: "rgba(220,220,220,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
hidden: true,
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 3',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}]
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myBar.generateLegend());
}
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myBar = new Chart(ctx, {
type: 'bar',
data: barChartData,
options: {
responsive: true,
}
});
updateLegend();
};
$('#randomizeData').click(function() {
var zero = Math.random() < 0.2 ? true : false;
$.each(barChartData.datasets, function(i, dataset) {
dataset.backgroundColor = randomColor();
dataset.data = dataset.data.map(function() {
return zero ? 0.0 : randomScalingFactor();
});
});
window.myBar.update();
updateLegend();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + barChartData.datasets.length,
backgroundColor: randomColor(),
data: []
};
for (var index = 0; index < barChartData.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
barChartData.datasets.push(newDataset);
window.myBar.update();
updateLegend();
});
$('#addData').click(function() {
if (barChartData.datasets.length > 0) {
barChartData.labels.push('data #' + barChartData.labels.length);
for (var index = 0; index < barChartData.datasets.length; ++index) {
//window.myBar.addData(randomScalingFactor(), index);
barChartData.datasets[index].data.push(randomScalingFactor());
}
window.myBar.update();
updateLegend();
}
});
$('#removeDataset').click(function() {
barChartData.datasets.splice(0, 1);
window.myBar.update();
updateLegend();
});
$('#removeData').click(function() {
barChartData.labels.splice(-1, 1); // remove the label first
barChartData.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myBar.update();
updateLegend();
});
$('#show').click(function() {
document.getElementById('container').style.display = '';
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Bar Chart</title>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<script src="../Chart.js"></script>
<style type="text/css">
canvas {
border: 1px solid red;
}
</style>
</head>
<body>
<div id="container" style="width: 100%; height: 25%;">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<button id="show">Show</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function() {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
};
var bubbleChartData = {
animation: {
duration: 10000
},
datasets: [{
label: "My First dataset",
backgroundColor: randomColor(),
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}]
}, {
label: "My Second dataset",
backgroundColor: randomColor(),
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}]
}]
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myChart.generateLegend());
}
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myChart = new Chart(ctx, {
type: 'bubble',
data: bubbleChartData,
options: {
responsive: true,
}
});
updateLegend();
};
$('#randomizeData').click(function() {
var zero = Math.random() < 0.2 ? true : false;
$.each(bubbleChartData.datasets, function(i, dataset) {
dataset.backgroundColor = randomColor();
dataset.data = dataset.data.map(function() {
return {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
};
});
});
window.myChart.update();
updateLegend();
});
$('#addDataset').click(function() {
var newDataset = {
backgroundColor: randomColor(),
data: []
};
for (var index = 0; index < bubbleChartData.datasets[0].data.length; ++index) {
newDataset.data.push({
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
});
}
bubbleChartData.datasets.push(newDataset);
window.myChart.update();
updateLegend();
});
$('#addData').click(function() {
if (bubbleChartData.datasets.length > 0) {
for (var index = 0; index < bubbleChartData.datasets.length; ++index) {
//window.myChart.addData(randomScalingFactor(), index);
bubbleChartData.datasets[index].data.push({
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
});
}
window.myChart.update();
updateLegend();
}
});
$('#removeDataset').click(function() {
bubbleChartData.datasets.splice(0, 1);
window.myChart.update();
updateLegend();
});
$('#removeData').click(function() {
bubbleChartData.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myChart.update();
updateLegend();
});
$('#show').click(function() {
document.getElementById('container').style.display = '';
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Combo Bar-Line Chart</title>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<script src="../Chart.js"></script>
</head>
<body>
<div style="width: 50%">
<canvas id="canvas" height="450" width="600"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var barChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
type: 'bar',
label: 'Dataset 1',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
borderColor: 'white',
borderWidth: 2
}, {
type: 'line',
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
borderColor: 'white',
borderWidth: 2
}, {
type: 'bar',
label: 'Dataset 3',
backgroundColor: "rgba(220,220,220,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, ]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myBar = new Chart(ctx, {
type: 'bar',
data: barChartData,
options: {
responsive: true,
}
});
};
$('#randomizeData').click(function() {
$.each(barChartData.datasets, function(i, dataset) {
dataset.backgroundColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
});
window.myBar.update();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../node_modules/moment/min/moment.min.js"></script>
<script src="../Chart.js"></script>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<style>
canvas {
-webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
}
</style>
</head>
<body>
<div style="width:100%;">
<canvas id="canvas" style="width:100%;height:100%"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var newDate = function(days) {
var date = new Date();
return date.setDate(date.getDate() + days);
};
var newTimestamp = function(days) {
return Date.now() - days * 100000;
};
var config = {
type: 'bar',
data: {
//labels: [newTimestamp(0), newTimestamp(1), newTimestamp(2), newTimestamp(3), newTimestamp(4), newTimestamp(5), newTimestamp(6)], // unix timestamps
// labels: [newDate(0), newDate(1), newDate(2), newDate(3), newDate(4), newDate(5), newDate(6)], // Date Objects
labels: ["01/01/2015 20:00", "01/02/2015 20:00", "01/03/2015 22:00", "01/05/2015 23:00", "01/07/2015 03:00", "01/08/2015 10:00", "01/10/2015"], // Hours
// labels: ["01/01/2015", "01/02/2015", "01/03/2015", "01/06/2015", "01/15/2015", "01/17/2015", "01/30/2015"], // Days
// labels: ["12/25/2014", "01/08/2015", "01/15/2015", "01/22/2015", "01/29/2015", "02/05/2015", "02/12/2015"], // Weeks
datasets: [{
type: 'bar',
label: 'Dataset 1',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
borderColor: 'white',
borderWidth: 2
}, {
type: 'bar',
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
borderColor: 'white',
borderWidth: 2
}, {
type: 'line',
label: 'Dataset 3',
backgroundColor: "rgba(220,220,220,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, ]
},
options: {
responsive: true,
scales: {
xAxes: [{
type: "time",
display: true,
time: {
format: 'MM/DD/YYYY HH:mm',
// round: 'day'
}
}, ],
yAxes: [{
display: true
}]
},
elements: {
line: {
tension: 0.3
}
},
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
console.log(config.data);
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
updateLegend();
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myLine.generateLegend());
}
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
updateLegend();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
updateLegend();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push(
myLine.scales['x-axis-0'].labelMoments[myLine.scales['x-axis-0'].labelMoments.length - 1].add(1, 'day')
.format('MM/DD/YYYY')
);
for (var index = 0; index < config.data.datasets.length; ++index) {
config.data.datasets[index].data.push(randomScalingFactor());
}
window.myLine.update();
updateLegend();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
updateLegend();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
config.data.datasets[datasetIndex].data.pop();
});
window.myLine.update();
updateLegend();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Doughnut Chart</title>
<script src="../Chart.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
body {
padding: 0;
margin: 0;
}
#canvas-holder {
width: 30%;
}
</style>
</head>
<body>
<div id="canvas-holder" style="width:50%">
<canvas id="chart-area" width="500" height="500" />
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
data: {
datasets: [{
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
}, {
hidden: true,
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
}, {
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
}],
labels: [
"Red",
"Green",
"Yellow",
"Grey",
"Dark Grey"
]
},
options: {
responsive: true
}
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myDoughnut.generateLegend());
}
window.onload = function() {
var ctx = document.getElementById("chart-area").getContext("2d");
window.myDoughnut = Chart.Doughnut(ctx, config);
console.log(window.myDoughnut);
updateLegend();
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
dataset.backgroundColor = dataset.backgroundColor.map(function() {
return randomColor(0.7);
});
});
window.myDoughnut.update();
updateLegend();
});
$('#addDataset').click(function() {
var newDataset = {
backgroundColor: [],
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
newDataset.backgroundColor.push(randomColor(0.7));
}
config.data.datasets.push(newDataset);
window.myDoughnut.update();
updateLegend();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('data #' + config.data.labels.length);
$.each(config.data.datasets, function(index, dataset) {
dataset.data.push(randomScalingFactor());
dataset.backgroundColor.push(randomColor(0.7));
});
window.myDoughnut.update();
updateLegend();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myDoughnut.update();
updateLegend();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
dataset.backgroundColor.pop();
});
window.myDoughnut.update();
updateLegend();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Line Chart with Custom Tooltips</title>
<script src="../Chart.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
#canvas-holder1 {
width: 300px;
margin: 20px auto;
}
#canvas-holder2 {
width: 50%;
margin: 20px 25%;
}
#chartjs-tooltip {
opacity: 1;
position: absolute;
background: rgba(0, 0, 0, .7);
color: white;
border-radius: 3px;
-webkit-transition: all .1s ease;
transition: all .1s ease;
pointer-events: none;
-webkit-transform: translate(-50%, 0);
transform: translate(-50%, 0);
}
.chartjs-tooltip-key {
display: inline-block;
width: 10px;
height: 10px;
}
</style>
</head>
<body>
<div id="canvas-holder1">
<canvas id="chart1" width="300" height="30" />
</div>
<script>
Chart.defaults.global.pointHitDetectionRadius = 1;
var customTooltips = function(tooltip) {
console.log(tooltip._view);
// Tooltip Element
var tooltipEl = $('#chartjs-tooltip');
if (!tooltipEl[0]) {
$('body').append('<div id="chartjs-tooltip"></div>');
tooltipEl = $('#chartjs-tooltip');
}
// Hide if no tooltip
if (!tooltip._view.opacity) {
tooltipEl.css({
opacity: 0
});
$('.chartjs-wrap canvas')
.each(function(index, el) {
$(el).css('cursor', 'default');
});
return;
}
$(tooltip._chart.canvas).css('cursor', 'pointer');
// Set caret Position
tooltipEl.removeClass('above below no-transform');
if (tooltip._view.yAlign) {
tooltipEl.addClass(tooltip._view.yAlign);
} else {
tooltipEl.addClass('no-transform');
}
// Set Text
if (tooltip._view.text) {
tooltipEl.html(tooltip._view.text);
} else if (tooltip._view.labels) {
var innerHtml = '<div class="title">' + tooltip._view.title + '</div>';
for (var i = 0; i < tooltip._view.labels.length; i++) {
innerHtml += [
'<div class="section">',
' <span class="key" style="background-color:' + tooltip._view.legendColors[i].fill + '"></span>',
' <span class="value">' + tooltip._view.labels[i] + '</span>',
'</div>'
].join('');
}
tooltipEl.html(innerHtml);
}
// Find Y Location on page
var top = 0;
if (tooltip._view.yAlign) {
if (tooltip._view.yAlign == 'above') {
top = tooltip._view.y - tooltip._view.caretHeight - tooltip._view.caretPadding;
} else {
top = tooltip._view.y + tooltip._view.caretHeight + tooltip._view.caretPadding;
}
}
var offset = $(tooltip._chart.canvas).offset();
// Display, position, and set styles for font
tooltipEl.css({
opacity: 1,
width: tooltip._view.width ? (tooltip._view.width + 'px') : 'auto',
left: offset.left + tooltip._view.x + 'px',
top: offset.top + top + 'px',
fontFamily: tooltip._view._fontFamily,
fontSize: tooltip._view.fontSize,
fontStyle: tooltip._view._fontStyle,
padding: tooltip._view.yPadding + 'px ' + tooltip._view.xPadding + 'px',
});
};
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var lineChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}]
};
window.onload = function() {
var chartEl = document.getElementById("chart1");
window.myLine = new Chart(chartEl, {
type: 'line',
data: lineChartData,
options: {
tooltips: {
enabled: false,
custom: customTooltips
}
}
});
};
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../Chart.js"></script>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<style>
canvas {
-webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
}
</style>
</head>
<body>
<div style="width:50%;">
<canvas id="canvas" style="width:100%;height:100%"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.ceil(Math.random() * 10.0) * Math.pow(10, Math.ceil(Math.random() * 5));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
},
options: {
responsive: true,
scales: {
xAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'x axis'
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
show: true,
labelString: 'y axis'
}
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
console.log(config.data);
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
updateLegend();
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myLine.generateLegend());
}
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
updateLegend();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
updateLegend();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('dataset #' + config.data.labels.length);
for (var index = 0; index < config.data.datasets.length; ++index) {
config.data.datasets[index].data.push(randomScalingFactor());
}
window.myLine.update();
updateLegend();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
updateLegend();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
updateLegend();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Line Chart Multiple Axes</title>
<script src="../Chart.js"></script>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
</head>
<body>
<div style="width:50%;">
<canvas id="canvas" style="width:100%;height:100%"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColor = function(opacity) {
return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
};
var lineChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
yAxisID: "y-axis-1",
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
yAxisID: "y-axis-2"
}]
};
$.each(lineChartData.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(1);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
console.log(lineChartData);
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = Chart.Line(ctx, {
data: lineChartData,
options: {
responsive: true,
hoverMode: 'label',
stacked: false,
scales: {
xAxes: [{
display: true,
gridLines: {
offsetGridLines: false
}
}],
yAxes: [{
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "left",
id: "y-axis-1",
}, {
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "right",
id: "y-axis-2",
// grid line settings
gridLines: {
drawOnChartArea: false, // only want the grid lines for one axis to show up
},
}],
}
}
});
};
$('#randomizeData').click(function() {
lineChartData.datasets[0].data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
lineChartData.datasets[1].data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
window.myLine.update();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Time Scale Point Data</title>
<script src="../node_modules/moment/min/moment.min.js"></script>
<script src="../Chart.js"></script>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<style>
canvas {
-webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
}
</style>
</head>
<body>
<div style="width:100%;">
<canvas id="canvas" style="width:100%;height:100%"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var newDate = function(days) {
var date = new Date();
return date.setDate(date.getDate() + days);
};
var newTimestamp = function(days) {
return Date.now() - days * 100000;
};
var config = {
type: 'line',
data: {
datasets: [{
label: "Dataset with point data",
data: [{
x: "12/31/2014 06:00",
y: randomScalingFactor()
}, {
x: "01/04/2015 13:00",
y: randomScalingFactor()
}, {
x: "01/07/2015 01:15",
y: randomScalingFactor()
}, {
x: "01/15/2015 01:15",
y: randomScalingFactor()
}],
fill: false
}]
},
options: {
responsive: true,
scales: {
xAxes: [{
type: "time",
display: true,
time: {
format: 'MM/DD/YYYY HH:mm',
// round: 'day'
},
scaleLabel: {
show: true,
labelString: 'Date'
}
}, ],
yAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'value'
}
}]
},
elements: {
line: {
tension: 0.3
}
},
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
console.log(config.data);
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
updateLegend();
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myLine.generateLegend());
}
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
updateLegend();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var newTime = myLine.scales['x-axis-0'].labelMoments[0][myLine.scales['x-axis-0'].labelMoments[0].length - 1]
.clone()
.add(1, 'day')
.format('MM/DD/YYYY HH:mm');
for (var index = 0; index < config.data.datasets.length; ++index) {
config.data.datasets[index].data.push({
x: newTime,
y: randomScalingFactor()
});
}
window.myLine.update();
updateLegend();
}
});
$('#removeData').click(function() {
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
updateLegend();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../node_modules/moment/min/moment.min.js"></script>
<script src="../Chart.js"></script>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<style>
canvas {
-webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
}
</style>
</head>
<body>
<div style="width:100%;">
<canvas id="canvas" style="width:100%;height:100%"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var newDate = function(days) {
var date = new Date();
return date.setDate(date.getDate() + days);
};
var newTimestamp = function(days) {
return Date.now() - days * 100000;
};
var config = {
type: 'line',
data: {
//labels: [newTimestamp(0), newTimestamp(1), newTimestamp(2), newTimestamp(3), newTimestamp(4), newTimestamp(5), newTimestamp(6)], // unix timestamps
// labels: [newDate(0), newDate(1), newDate(2), newDate(3), newDate(4), newDate(5), newDate(6)], // Date Objects
labels: ["01/01/2015 20:00", "01/02/2015 21:00", "01/03/2015 22:00", "01/05/2015 23:00", "01/07/2015 03:00", "01/08/2015 10:00", "01/10/2015"], // Hours
// labels: ["01/01/2015", "01/02/2015", "01/03/2015", "01/06/2015", "01/15/2015", "01/17/2015", "01/30/2015"], // Days
// labels: ["12/25/2014", "01/08/2015", "01/15/2015", "01/22/2015", "01/29/2015", "02/05/2015", "02/12/2015"], // Weeks
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}, {
label: "Dataset with point data",
data: [{
x: "12/31/2014 06:00",
y: randomScalingFactor()
}, {
x: "01/04/2015 13:00",
y: randomScalingFactor()
}, {
x: "01/07/2015 01:15",
y: randomScalingFactor()
}, {
x: "01/15/2015 01:15",
y: randomScalingFactor()
}],
fill: false
}]
},
options: {
responsive: true,
scales: {
xAxes: [{
type: "time",
display: true,
time: {
format: 'MM/DD/YYYY HH:mm',
// round: 'day'
},
scaleLabel: {
show: true,
labelString: 'Date'
}
}, ],
yAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'value'
}
}]
},
elements: {
line: {
tension: 0.3
}
},
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
console.log(config.data);
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
updateLegend();
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myLine.generateLegend());
}
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
updateLegend();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
updateLegend();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push(
myLine.scales['x-axis-0'].labelMoments[myLine.scales['x-axis-0'].labelMoments.length - 1]
.clone()
.add(1, 'day')
.format('MM/DD/YYYY HH:mm')
);
for (var index = 0; index < config.data.datasets.length; ++index) {
config.data.datasets[index].data.push(randomScalingFactor());
}
window.myLine.update();
updateLegend();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
updateLegend();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
updateLegend();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Chart with xAxis Filtering</title>
<script src="../Chart.js"></script>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<style>
canvas {
-webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
}
</style>
</head>
<body>
<div style="width:50%;">
<canvas id="canvas" style="width:100%;height:100%"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 50 * (Math.random() > 0.5 ? 1 : 1)) + 50;
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January is a long month", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
},
options: {
responsive: true,
scales: {
xAxes: [{
display: true,
ticks: {
userCallback: function(dataLabel, index) {
return index % 2 === 0 ? dataLabel : '';
}
}
}],
yAxes: [{
display: true,
beginAtZero: false
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
console.log(config.data);
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('dataset #' + config.data.labels.length);
for (var index = 0; index < config.data.datasets.length; ++index) {
config.data.datasets[index].data.push(randomScalingFactor());
}
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../Chart.js"></script>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<style>
canvas {
-webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
}
</style>
</head>
<body>
<div style="width:100%;">
<canvas id="canvas" style="width:100%;height:100%"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
hidden: true,
label: 'hidden dataset',
data: [],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
},
options: {
responsive: true,
tooltips: {
mode: 'label',
callbacks: {
// beforeTitle: function() {
// return '...beforeTitle';
// },
// afterTitle: function() {
// return '...afterTitle';
// },
// beforeBody: function() {
// return '...beforeBody';
// },
// afterBody: function() {
// return '...afterBody';
// },
// beforeFooter: function() {
// return '...beforeFooter';
// },
// footer: function() {
// return 'Footer';
// },
// afterFooter: function() {
// return '...afterFooter';
// },
}
},
hover: {
mode: 'label'
},
scales: {
xAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'Month'
}
}],
yAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'Value'
}
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
console.log(config.data);
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
updateLegend();
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myLine.generateLegend());
}
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
updateLegend();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
updateLegend();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('dataset #' + config.data.labels.length);
$.each(config.data.datasets, function(i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myLine.update();
updateLegend();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
updateLegend();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
updateLegend();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Pie Chart</title>
<script src="../Chart.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
</head>
<body>
<div id="canvas-holder" style="width:50%">
<canvas id="chart-area" width="300" height="300" />
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'pie',
data: {
datasets: [{
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
}, {
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
}, {
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
}],
labels: [
"Red",
"Green",
"Yellow",
"Grey",
"Dark Grey"
]
},
options: {
responsive: true
}
};
window.onload = function() {
var ctx = document.getElementById("chart-area").getContext("2d");
window.myPie = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, piece) {
$.each(piece.data, function(j, value) {
config.data.datasets[i].data[j] = randomScalingFactor();
//config.data.datasets.backgroundColor[i] = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
});
});
window.myPie.update();
});
$('#addDataset').click(function() {
var newDataset = {
backgroundColor: [randomColor(0.7), randomColor(0.7), randomColor(0.7), randomColor(0.7), randomColor(0.7)],
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
};
config.data.datasets.push(newDataset);
window.myPie.update();
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myPie.update();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Polar Area Chart</title>
<script src="../Chart.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
</head>
<body>
<div id="canvas-holder" style="width:50%" width="50%">
<canvas id="chart-area"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
data: {
datasets: [{
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
}],
labels: [
"Red",
"Green",
"Yellow",
"Grey",
"Dark Grey"
]
},
options: {
responsive: true,
scale: {
beginAtZero: true,
reverse: false
}
}
};
window.onload = function() {
var ctx = document.getElementById("chart-area");
window.myPolarArea = Chart.PolarArea(ctx, config);
updateLegend();
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myPolarArea.generateLegend());
}
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, piece) {
$.each(piece.data, function(j, value) {
config.data.datasets[i].data[j] = randomScalingFactor();
config.data.datasets[i].backgroundColor[j] = randomColor();
});
});
window.myPolarArea.update();
updateLegend();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('dataset #' + config.data.labels.length);
$.each(config.data.datasets, function(i, dataset) {
dataset.backgroundColor.push(randomColor());
dataset.data.push(randomScalingFactor());
});
window.myPolarArea.update();
updateLegend();
}
});
$('#removeData').click(function() {
config.data.labels.pop(); // remove the label first
$.each(config.data.datasets, function(i, dataset) {
dataset.backgroundColor.pop();
dataset.data.pop();
});
window.myPolarArea.update();
updateLegend();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Radar Chart</title>
<script src="../Chart.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
</head>
<body>
<div style="width:50%">
<canvas id="canvas" height="450" width="450"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'radar',
data: {
labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
datasets: [{
label: "My First dataset",
backgroundColor: "rgba(220,220,220,0.2)",
pointBackgroundColor: "rgba(220,220,220,1)",
data: [null, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Hidden dataset',
hidden: true,
data: [],
}, {
label: "My Second dataset",
backgroundColor: "rgba(151,187,205,0.2)",
pointBackgroundColor: "rgba(151,187,205,1)",
hoverPointBackgroundColor: "#fff",
pointHighlightStroke: "rgba(151,187,205,1)",
data: [null, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
},]
},
options: {
scale: {
beginAtZero: true,
reverse: false
}
}
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myRadar.generateLegend());
}
window.onload = function() {
window.myRadar = new Chart(document.getElementById("canvas"), config);
updateLegend();
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myRadar.update();
updateLegend();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myRadar.update();
updateLegend();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('dataset #' + config.data.labels.length);
$.each(config.data.datasets, function (i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myRadar.update();
updateLegend();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myRadar.update();
updateLegend();
});
$('#removeData').click(function() {
config.data.labels.pop(); // remove the label first
$.each(config.data.datasets, function(i, dataset) {
dataset.data.pop();
});
window.myRadar.update();
updateLegend();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Scatter Chart</title>
<script src="../Chart.js"></script>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
</head>
<body>
<div style="width:50%">
<div>
<canvas id="canvas" height="450" width="600" style="border: 1px solid red;"></canvas>
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 10.0) * Math.pow(10, Math.ceil(Math.random() * 5));
};
var randomColor = function(opacity) {
return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
};
var scatterChartData = {
datasets: [{
label: "V(node2)",
data: [{
x: 1,
y: -1.711e-2,
}, {
x: 1.26,
y: -2.708e-2,
}, {
x: 1.58,
y: -4.285e-2,
}, {
x: 2.0,
y: -6.772e-2,
}, {
x: 2.51,
y: -1.068e-1,
}, {
x: 3.16,
y: -1.681e-1,
}, {
x: 3.98,
y: -2.635e-1,
}, {
x: 5.01,
y: -4.106e-1,
}, {
x: 6.31,
y: -6.339e-1,
}, {
x: 7.94,
y: -9.659e-1,
}, {
x: 10.00,
y: -1.445,
}, {
x: 12.6,
y: -2.110,
}, {
x: 15.8,
y: -2.992,
}, {
x: 20.0,
y: -4.102,
}, {
x: 25.1,
y: -5.429,
}, {
x: 31.6,
y: -6.944,
}, {
x: 39.8,
y: -8.607,
}, {
x: 50.1,
y: -1.038e1,
}, {
x: 63.1,
y: -1.223e1,
}, {
x: 79.4,
y: -1.413e1,
}, {
x: 100.00,
y: -1.607e1,
}, {
x: 126,
y: -1.803e1,
}, {
x: 158,
y: -2e1,
}, {
x: 200,
y: -2.199e1,
}, {
x: 251,
y: -2.398e1,
}, {
x: 316,
y: -2.597e1,
}, {
x: 398,
y: -2.797e1,
}, {
x: 501,
y: -2.996e1,
}, {
x: 631,
y: -3.196e1,
}, {
x: 794,
y: -3.396e1,
}, {
x: 1000,
y: -3.596e1,
},]
}]
};
$.each(scatterChartData.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.1);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myScatter = Chart.Scatter(ctx, {
data: scatterChartData,
options: {
scales: {
xAxes: [{
type: 'logarithmic',
position: 'bottom',
ticks: {
userCallback: function(tick) {
var remain = tick / (Math.pow(10, Math.floor(Chart.helpers.log10(tick))));
if (remain === 1 || remain === 2 || remain === 5) {
return tick.toString() + "Hz";
}
return '';
},
},
scaleLabel: {
labelString: 'Frequency',
show: true,
}
}],
yAxes: [{
type: 'linear',
ticks: {
userCallback: function(tick) {
return tick.toString() + "dB";
}
},
scaleLabel: {
labelString: 'Voltage',
show: true
}
}]
}
}
});
};
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Scatter Chart Multi Axis</title>
<script src="../Chart.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
</head>
<body>
<div style="width:50%">
<div>
<canvas id="canvas" height="450" width="600"></canvas>
</div>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColor = function(opacity) {
return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
};
var scatterChartData = {
datasets: [{
label: "My First dataset",
xAxisID: "x-axis-1",
yAxisID: "y-axis-1",
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
}, {
label: "My Second dataset",
xAxisID: "x-axis-1",
yAxisID: "y-axis-2",
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
}]
};
$.each(scatterChartData.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.1);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
console.log(scatterChartData);
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myScatter = Chart.Scatter(ctx, {
data: scatterChartData,
options: {
responsive: true,
hoverMode: 'single',
scales: {
xAxes: [{
position: "bottom",
gridLines: {
zeroLineColor: "rgba(0,0,0,1)"
}
}],
yAxes: [{
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "left",
id: "y-axis-1",
}, {
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "right",
reverse: true,
id: "y-axis-2",
// grid line settings
gridLines: {
drawOnChartArea: false, // only want the grid lines for one axis to show up
},
}],
}
}
});
};
$('#randomizeData').click(function() {
scatterChartData.datasets[0].data = [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}];
scatterChartData.datasets[1].data = [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
window.myScatter.update();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Scatter Chart</title>
<script src="../Chart.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
</head>
<body>
<div style="width:50%">
<div>
<canvas id="canvas" height="450" width="600"></canvas>
</div>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColor = function(opacity) {
return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
};
var scatterChartData = {
datasets: [{
label: "My First dataset",
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
}, {
label: "My Second dataset",
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
}]
};
$.each(scatterChartData.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.1);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
console.log(scatterChartData);
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myScatter = Chart.Scatter(ctx, {
data: scatterChartData,
options: {
scales: {
xAxes: [{
position: 'top',
gridLines: {
zeroLineColor: "rgba(0,255,0,1)"
},
scaleLabel: {
show: true,
labelString: 'x axis'
}
}],
yAxes: [{
position: 'right',
gridLines: {
zeroLineColor: "rgba(0,255,0,1)"
},
scaleLabel: {
show: true,
labelString: 'y axis'
}
}]
}
}
});
};
$('#randomizeData').click(function() {
scatterChartData.datasets[0].data = [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}];
scatterChartData.datasets[1].data = [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
window.myScatter.update();
});
</script>
</body>
</html>
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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../Chart.js"></script>
<script src="../node_modules/jquery/dist/jquery.min.js"></script>
<style>
canvas {
-webkit-box-shadow: 0 0 20px 0 rgba(0, 0, 0, .5);
}
</style>
</head>
<body>
<div style="width:100%;">
<canvas id="canvas" style="width:100%;height:100%"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<div>
<h3>Legend</h3>
<div id="legendContainer">
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
},
options: {
responsive: true,
tooltips: {
mode: 'label',
callbacks: {
beforeTitle: function() {
return '...beforeTitle';
},
afterTitle: function() {
return '...afterTitle';
},
beforeBody: function() {
return '...beforeBody';
},
afterBody: function() {
return '...afterBody';
},
beforeFooter: function() {
return '...beforeFooter';
},
footer: function() {
return 'Footer';
},
afterFooter: function() {
return '...afterFooter';
},
}
},
hover: {
mode: 'label'
},
scales: {
xAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'Month'
}
}],
yAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'Value'
}
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
updateLegend();
};
function updateLegend() {
$legendContainer = $('#legendContainer');
$legendContainer.empty();
$legendContainer.append(window.myLine.generateLegend());
}
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
updateLegend();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
updateLegend();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('dataset #' + config.data.labels.length);
$.each(config.data.datasets, function(i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myLine.update();
updateLegend();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
updateLegend();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
updateLegend();
});
</script>
</body>
</html>
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(function() {
"use strict";
var root = this;
var Chart = root.Chart;
var helpers = Chart.helpers;
Chart.Bar = function(context, config) {
config.type = 'bar';
return new Chart(context, config);
};
}).call(this);
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(function() {
"use strict";
var root = this;
var Chart = root.Chart;
var helpers = Chart.helpers;
var defaultConfig = {
hover: {
mode: 'single',
},
scales: {
xAxes: [{
type: "linear", // bubble should probably use a linear scale by default
position: "bottom",
id: "x-axis-0", // need an ID so datasets can reference the scale
}],
yAxes: [{
type: "linear",
position: "left",
id: "y-axis-0",
}],
},
tooltips: {
template: "(<%= value.x %>, <%= value.y %>)",
multiTemplate: "<%if (datasetLabel){%><%=datasetLabel%>: <%}%>(<%= value.x %>, <%= value.y %>)",
},
};
Chart.Bubble = function(context, config) {
config.options = helpers.configMerge(defaultConfig, config.options);
config.type = 'bubble';
return new Chart(context, config);
};
}).call(this);
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(function() {
"use strict";
var root = this;
var Chart = root.Chart;
var helpers = Chart.helpers;
var defaultConfig = {
aspectRatio: 1,
legendTemplate: "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i = 0; i < data.datasets[0].data.length; i++){%><li><span style=\"background-color:<%=data.datasets[0].backgroundColor[i]%>\"><%if(data.labels && i < data.labels.length){%><%=data.labels[i]%><%}%></span></li><%}%></ul>",
};
Chart.Doughnut = function(context, config) {
config.options = helpers.configMerge(defaultConfig, config.options);
config.type = 'doughnut';
return new Chart(context, config);
};
}).call(this);
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(function() {
"use strict";
var root = this;
var Chart = root.Chart;
var helpers = Chart.helpers;
Chart.Line = function(context, config) {
config.type = 'line';
return new Chart(context, config);
};
}).call(this);
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(function() {
"use strict";
var root = this;
var Chart = root.Chart;
var helpers = Chart.helpers;
var defaultConfig = {
aspectRatio: 1,
legendTemplate: "<ul class=\"<%=name.toLowerCase()%>-legend\"><% for (var i = 0; i < data.datasets[0].data.length; i++){%><li><span style=\"background-color:<%=data.datasets[0].backgroundColor[i]%>\"><%if(data.labels && i < data.labels.length){%><%=data.labels[i]%><%}%></span></li><%}%></ul>",
};
Chart.PolarArea = function(context, config) {
config.options = helpers.configMerge(defaultConfig, config.options);
config.type = 'polarArea';
return new Chart(context, config);
};
}).call(this);
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(function() {
"use strict";
var root = this;
var Chart = root.Chart;
var helpers = Chart.helpers;
var defaultConfig = {
aspectRatio: 1,
};
Chart.Radar = function(context, config) {
config.options = helpers.configMerge(defaultConfig, config.options);
config.type = 'radar';
return new Chart(context, config);
};
}).call(this);
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(function() {
"use strict";
var root = this;
var Chart = root.Chart;
var helpers = Chart.helpers;
var defaultConfig = {
hover: {
mode: 'single',
},
scales: {
xAxes: [{
type: "linear", // scatter should not use a category axis
position: "bottom",
id: "x-axis-1", // need an ID so datasets can reference the scale
}],
yAxes: [{
type: "linear",
position: "left",
id: "y-axis-1",
}],
},
tooltips: {
template: "(<%= value.x %>, <%= value.y %>)",
multiTemplate: "<%if (datasetLabel){%><%=datasetLabel%>: <%}%>(<%= value.x %>, <%= value.y %>)",
},
};
Chart.Scatter = function(context, config) {
config.options = helpers.configMerge(defaultConfig, config.options);
config.type = 'line';
return new Chart(context, config);
};
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.bar = {
hover: {
mode: "label"
},
scales: {
xAxes: [{
type: "category",
// Specific to Bar Controller
categoryPercentage: 0.8,
barPercentage: 0.9,
// grid line settings
gridLines: {
offsetGridLines: true,
},
}],
yAxes: [{
type: "linear",
}],
},
};
Chart.controllers.bar = function(chart, datasetIndex) {
this.initialize.call(this, chart, datasetIndex);
};
helpers.extend(Chart.controllers.bar.prototype, {
initialize: function(chart, datasetIndex) {
this.chart = chart;
this.index = datasetIndex;
this.linkScales();
this.addElements();
},
updateIndex: function(datasetIndex) {
this.index = datasetIndex;
},
linkScales: function() {
if (!this.getDataset().xAxisID) {
this.getDataset().xAxisID = this.chart.options.scales.xAxes[0].id;
}
if (!this.getDataset().yAxisID) {
this.getDataset().yAxisID = this.chart.options.scales.yAxes[0].id;
}
},
getDataset: function() {
return this.chart.data.datasets[this.index];
},
getScaleForID: function(scaleID) {
return this.chart.scales[scaleID];
},
// Get the number of datasets that display bars. We use this to correctly calculate the bar width
getBarCount: function getBarCount() {
var barCount = 0;
helpers.each(this.chart.data.datasets, function(dataset) {
if (helpers.isDatasetVisible(dataset)) {
if (dataset.type === 'bar') {
++barCount;
} else if (dataset.type === undefined && this.chart.config.type === 'bar') {
++barCount;
}
}
}, this);
return barCount;
},
addElements: function() {
this.getDataset().metaData = this.getDataset().metaData || [];
helpers.each(this.getDataset().data, function(value, index) {
this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Rectangle({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
}, this);
},
addElementAndReset: function(index) {
this.getDataset().metaData = this.getDataset().metaData || [];
var rectangle = new Chart.elements.Rectangle({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
var numBars = this.getBarCount();
this.updateElement(rectangle, index, true, numBars);
this.getDataset().metaData.splice(index, 0, rectangle);
},
removeElement: function(index) {
this.getDataset().metaData.splice(index, 1);
},
reset: function() {
this.update(true);
},
buildOrUpdateElements: function buildOrUpdateElements() {
var numData = this.getDataset().data.length;
var numRectangles = this.getDataset().metaData.length;
// Make sure that we handle number of datapoints changing
if (numData < numRectangles) {
// Remove excess bars for data points that have been removed
this.getDataset().metaData.splice(numData, numRectangles - numData);
} else if (numData > numRectangles) {
// Add new elements
for (var index = numRectangles; index < numData; ++index) {
this.addElementAndReset(index);
}
}
},
update: function update(reset) {
var numBars = this.getBarCount();
helpers.each(this.getDataset().metaData, function(rectangle, index) {
this.updateElement(rectangle, index, reset, numBars);
}, this);
},
updateElement: function updateElement(rectangle, index, reset, numBars) {
var xScale = this.getScaleForID(this.getDataset().xAxisID);
var yScale = this.getScaleForID(this.getDataset().yAxisID);
var yScalePoint;
if (yScale.min < 0 && yScale.max < 0) {
// all less than 0. use the top
yScalePoint = yScale.getPixelForValue(yScale.max);
} else if (yScale.min > 0 && yScale.max > 0) {
yScalePoint = yScale.getPixelForValue(yScale.min);
} else {
yScalePoint = yScale.getPixelForValue(0);
}
helpers.extend(rectangle, {
// Utility
_chart: this.chart.chart,
_xScale: xScale,
_yScale: yScale,
_datasetIndex: this.index,
_index: index,
// Desired view properties
_model: {
x: this.calculateBarX(index, this.index),
y: reset ? yScalePoint : this.calculateBarY(index, this.index),
// Tooltip
label: this.chart.data.labels[index],
datasetLabel: this.getDataset().label,
// Appearance
base: this.calculateBarBase(this.index, index),
width: this.calculateBarWidth(numBars),
backgroundColor: rectangle.custom && rectangle.custom.backgroundColor ? rectangle.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.rectangle.backgroundColor),
borderColor: rectangle.custom && rectangle.custom.borderColor ? rectangle.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.rectangle.borderColor),
borderWidth: rectangle.custom && rectangle.custom.borderWidth ? rectangle.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.rectangle.borderWidth),
},
});
rectangle.pivot();
},
calculateBarBase: function(datasetIndex, index) {
var xScale = this.getScaleForID(this.getDataset().xAxisID);
var yScale = this.getScaleForID(this.getDataset().yAxisID);
var base = 0;
if (yScale.options.stacked) {
var value = this.chart.data.datasets[datasetIndex].data[index];
if (value < 0) {
for (var i = 0; i < datasetIndex; i++) {
var negDS = this.chart.data.datasets[i];
if (helpers.isDatasetVisible(negDS) && negDS.yAxisID === yScale.id) {
base += negDS.data[index] < 0 ? negDS.data[index] : 0;
}
}
} else {
for (var j = 0; j < datasetIndex; j++) {
var posDS = this.chart.data.datasets[j];
if (helpers.isDatasetVisible(posDS) && posDS.yAxisID === yScale.id) {
base += posDS.data[index] > 0 ? posDS.data[index] : 0;
}
}
}
return yScale.getPixelForValue(base);
}
base = yScale.getPixelForValue(yScale.min);
if (yScale.beginAtZero || ((yScale.min <= 0 && yScale.max >= 0) || (yScale.min >= 0 && yScale.max <= 0))) {
base = yScale.getPixelForValue(0, 0);
//base += yScale.options.gridLines.lineWidth;
} else if (yScale.min < 0 && yScale.max < 0) {
// All values are negative. Use the top as the base
base = yScale.getPixelForValue(yScale.max);
}
return base;
},
getRuler: function() {
var xScale = this.getScaleForID(this.getDataset().xAxisID);
var yScale = this.getScaleForID(this.getDataset().yAxisID);
/*var datasetCount = !this.chart.isCombo ? this.chart.data.datasets.length : helpers.where(this.chart.data.datasets, function(ds) {
return ds.type == 'bar';
}).length;*/
var datasetCount = this.getBarCount();
var tickWidth = (function() {
var min = xScale.getPixelForValue(null, 1) - xScale.getPixelForValue(null, 0);
for (var i = 2; i < this.getDataset().data.length; i++) {
min = Math.min(xScale.getPixelForValue(null, i) - xScale.getPixelForValue(null, i - 1), min);
}
return min;
}).call(this);
var categoryWidth = tickWidth * xScale.options.categoryPercentage;
var categorySpacing = (tickWidth - (tickWidth * xScale.options.categoryPercentage)) / 2;
var fullBarWidth = categoryWidth / datasetCount;
var barWidth = fullBarWidth * xScale.options.barPercentage;
var barSpacing = fullBarWidth - (fullBarWidth * xScale.options.barPercentage);
return {
datasetCount: datasetCount,
tickWidth: tickWidth,
categoryWidth: categoryWidth,
categorySpacing: categorySpacing,
fullBarWidth: fullBarWidth,
barWidth: barWidth,
barSpacing: barSpacing,
};
},
calculateBarWidth: function() {
var xScale = this.getScaleForID(this.getDataset().xAxisID);
var ruler = this.getRuler();
if (xScale.options.stacked) {
return ruler.categoryWidth;
}
return ruler.barWidth;
},
// Get bar index from the given dataset index accounting for the fact that not all bars are visible
getBarIndex: function(datasetIndex) {
var barIndex = 0;
for (var j = 0; j < datasetIndex; ++j) {
if (helpers.isDatasetVisible(this.chart.data.datasets[j]) &&
(this.chart.data.datasets[j].type === 'bar' || (this.chart.data.datasets[j].type === undefined && this.chart.config.type === 'bar'))) {
++barIndex;
}
}
return barIndex;
},
calculateBarX: function(index, datasetIndex) {
var yScale = this.getScaleForID(this.getDataset().yAxisID);
var xScale = this.getScaleForID(this.getDataset().xAxisID);
var barIndex = this.getBarIndex(datasetIndex);
var ruler = this.getRuler();
var leftTick = xScale.getPixelForValue(null, index, barIndex, this.chart.isCombo);
leftTick -= this.chart.isCombo ? (ruler.tickWidth / 2) : 0;
if (yScale.options.stacked) {
return leftTick + (ruler.categoryWidth / 2) + ruler.categorySpacing;
}
return leftTick +
(ruler.barWidth / 2) +
ruler.categorySpacing +
(ruler.barWidth * barIndex) +
(ruler.barSpacing / 2) +
(ruler.barSpacing * barIndex);
},
calculateBarY: function(index, datasetIndex) {
var xScale = this.getScaleForID(this.getDataset().xAxisID);
var yScale = this.getScaleForID(this.getDataset().yAxisID);
var value = this.getDataset().data[index];
if (yScale.options.stacked) {
var sumPos = 0,
sumNeg = 0;
for (var i = 0; i < datasetIndex; i++) {
var ds = this.chart.data.datasets[i];
if (helpers.isDatasetVisible(ds)) {
if (ds.data[index] < 0) {
sumNeg += ds.data[index] || 0;
} else {
sumPos += ds.data[index] || 0;
}
}
}
if (value < 0) {
return yScale.getPixelForValue(sumNeg + value);
} else {
return yScale.getPixelForValue(sumPos + value);
}
return yScale.getPixelForValue(value);
}
return yScale.getPixelForValue(value);
},
draw: function(ease) {
var easingDecimal = ease || 1;
helpers.each(this.getDataset().metaData, function(rectangle, index) {
rectangle.transition(easingDecimal).draw();
}, this);
},
setHoverStyle: function(rectangle) {
var dataset = this.chart.data.datasets[rectangle._datasetIndex];
var index = rectangle._index;
rectangle._model.backgroundColor = rectangle.custom && rectangle.custom.hoverBackgroundColor ? rectangle.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(rectangle._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
rectangle._model.borderColor = rectangle.custom && rectangle.custom.hoverBorderColor ? rectangle.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.color(rectangle._model.borderColor).saturate(0.5).darken(0.1).rgbString());
rectangle._model.borderWidth = rectangle.custom && rectangle.custom.hoverBorderWidth ? rectangle.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.hoverBorderWidth, index, rectangle._model.borderWidth);
},
removeHoverStyle: function(rectangle) {
var dataset = this.chart.data.datasets[rectangle._datasetIndex];
var index = rectangle._index;
rectangle._model.backgroundColor = rectangle.custom && rectangle.custom.backgroundColor ? rectangle.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.rectangle.backgroundColor);
rectangle._model.borderColor = rectangle.custom && rectangle.custom.borderColor ? rectangle.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.rectangle.borderColor);
rectangle._model.borderWidth = rectangle.custom && rectangle.custom.borderWidth ? rectangle.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.rectangle.borderWidth);
}
});
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.bubble = {
hover: {
mode: "single"
},
scales: {
xAxes: [{
type: "linear", // bubble should probably use a linear scale by default
position: "bottom",
id: "x-axis-0", // need an ID so datasets can reference the scale
}],
yAxes: [{
type: "linear",
position: "left",
id: "y-axis-0",
}],
},
tooltips: {
template: "(<%= value.x %>, <%= value.y %>, <%= value.r %>)",
multiTemplate: "<%if (datasetLabel){%><%=datasetLabel%>: <%}%>(<%= value.x %>, <%= value.y %>, <%= value.r %>)",
},
};
Chart.controllers.bubble = function(chart, datasetIndex) {
this.initialize.call(this, chart, datasetIndex);
};
helpers.extend(Chart.controllers.bubble.prototype, {
initialize: function(chart, datasetIndex) {
this.chart = chart;
this.index = datasetIndex;
this.linkScales();
this.addElements();
},
updateIndex: function(datasetIndex) {
this.index = datasetIndex;
},
linkScales: function() {
if (!this.getDataset().xAxisID) {
this.getDataset().xAxisID = this.chart.options.scales.xAxes[0].id;
}
if (!this.getDataset().yAxisID) {
this.getDataset().yAxisID = this.chart.options.scales.yAxes[0].id;
}
},
getDataset: function() {
return this.chart.data.datasets[this.index];
},
getScaleForId: function(scaleID) {
return this.chart.scales[scaleID];
},
addElements: function() {
this.getDataset().metaData = this.getDataset().metaData || [];
helpers.each(this.getDataset().data, function(value, index) {
this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Point({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
}, this);
},
addElementAndReset: function(index) {
this.getDataset().metaData = this.getDataset().metaData || [];
var point = new Chart.elements.Point({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
// Reset the point
this.updateElement(point, index, true);
// Add to the points array
this.getDataset().metaData.splice(index, 0, point);
},
removeElement: function(index) {
this.getDataset().metaData.splice(index, 1);
},
reset: function() {
this.update(true);
},
buildOrUpdateElements: function buildOrUpdateElements() {
// Handle the number of data points changing
var numData = this.getDataset().data.length;
var numPoints = this.getDataset().metaData.length;
// Make sure that we handle number of datapoints changing
if (numData < numPoints) {
// Remove excess bars for data points that have been removed
this.getDataset().metaData.splice(numData, numPoints - numData);
} else if (numData > numPoints) {
// Add new elements
for (var index = numPoints; index < numData; ++index) {
this.addElementAndReset(index);
}
}
},
update: function update(reset) {
var points = this.getDataset().metaData;
var yScale = this.getScaleForId(this.getDataset().yAxisID);
var xScale = this.getScaleForId(this.getDataset().xAxisID);
var scaleBase;
if (yScale.min < 0 && yScale.max < 0) {
scaleBase = yScale.getPixelForValue(yScale.max);
} else if (yScale.min > 0 && yScale.max > 0) {
scaleBase = yScale.getPixelForValue(yScale.min);
} else {
scaleBase = yScale.getPixelForValue(0);
}
// Update Points
helpers.each(points, function(point, index) {
this.updateElement(point, index, reset);
}, this);
},
updateElement: function(point, index, reset) {
var yScale = this.getScaleForId(this.getDataset().yAxisID);
var xScale = this.getScaleForId(this.getDataset().xAxisID);
var scaleBase;
if (yScale.min < 0 && yScale.max < 0) {
scaleBase = yScale.getPixelForValue(yScale.max);
} else if (yScale.min > 0 && yScale.max > 0) {
scaleBase = yScale.getPixelForValue(yScale.min);
} else {
scaleBase = yScale.getPixelForValue(0);
}
helpers.extend(point, {
// Utility
_chart: this.chart.chart,
_xScale: xScale,
_yScale: yScale,
_datasetIndex: this.index,
_index: index,
// Desired view properties
_model: {
x: reset ? xScale.getPixelForDecimal(0.5) : xScale.getPixelForValue(this.getDataset().data[index], index, this.index, this.chart.isCombo),
y: reset ? scaleBase : yScale.getPixelForValue(this.getDataset().data[index], index, this.index),
// Appearance
radius: reset ? 0 : point.custom && point.custom.radius ? point.custom.radius : this.getRadius(this.getDataset().data[index]),
backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.point.backgroundColor),
borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.point.borderColor),
borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.point.borderWidth),
// Tooltip
hitRadius: point.custom && point.custom.hitRadius ? point.custom.hitRadius : helpers.getValueAtIndexOrDefault(this.getDataset().hitRadius, index, this.chart.options.elements.point.hitRadius),
},
});
point._model.skip = point.custom && point.custom.skip ? point.custom.skip : (isNaN(point._model.x) || isNaN(point._model.y));
point.pivot();
},
getRadius: function(value) {
return value.r || this.chart.options.elements.point.radius;
},
draw: function(ease) {
var easingDecimal = ease || 1;
// Transition and Draw the Points
helpers.each(this.getDataset().metaData, function(point, index) {
point.transition(easingDecimal);
point.draw();
}, this);
},
setHoverStyle: function(point) {
// Point
var dataset = this.chart.data.datasets[point._datasetIndex];
var index = point._index;
point._model.radius = point.custom && point.custom.hoverRadius ? point.custom.hoverRadius : (helpers.getValueAtIndexOrDefault(dataset.hoverRadius, index, this.chart.options.elements.point.hoverRadius)) + this.getRadius(this.getDataset().data[point._index]);
point._model.backgroundColor = point.custom && point.custom.hoverBackgroundColor ? point.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(point._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
point._model.borderColor = point.custom && point.custom.hoverBorderColor ? point.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.color(point._model.borderColor).saturate(0.5).darken(0.1).rgbString());
point._model.borderWidth = point.custom && point.custom.hoverBorderWidth ? point.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.hoverBorderWidth, index, point._model.borderWidth);
},
removeHoverStyle: function(point) {
var dataset = this.chart.data.datasets[point._datasetIndex];
var index = point._index;
point._model.radius = point.custom && point.custom.radius ? point.custom.radius : this.getRadius(this.getDataset().data[point._index]);
point._model.backgroundColor = point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.point.backgroundColor);
point._model.borderColor = point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.point.borderColor);
point._model.borderWidth = point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.point.borderWidth);
}
});
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
//Cache a local reference to Chart.helpers
helpers = Chart.helpers;
Chart.defaults.doughnut = {
animation: {
//Boolean - Whether we animate the rotation of the Doughnut
animateRotate: true,
//Boolean - Whether we animate scaling the Doughnut from the centre
animateScale: false,
},
hover: {
mode: 'single'
},
//The percentage of the chart that we cut out of the middle.
cutoutPercentage: 50,
};
Chart.defaults.pie = helpers.clone(Chart.defaults.doughnut);
helpers.extend(Chart.defaults.pie, {
cutoutPercentage: 0
});
Chart.controllers.doughnut = Chart.controllers.pie = function(chart, datasetIndex) {
this.initialize.call(this, chart, datasetIndex);
};
helpers.extend(Chart.controllers.doughnut.prototype, {
initialize: function(chart, datasetIndex) {
this.chart = chart;
this.index = datasetIndex;
this.linkScales();
this.addElements();
},
updateIndex: function(datasetIndex) {
this.index = datasetIndex;
},
linkScales: function() {
// no scales for doughnut
},
getDataset: function() {
return this.chart.data.datasets[this.index];
},
addElements: function() {
this.getDataset().metaData = this.getDataset().metaData || [];
helpers.each(this.getDataset().data, function(value, index) {
this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Arc({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
}, this);
},
addElementAndReset: function(index, colorForNewElement) {
this.getDataset().metaData = this.getDataset().metaData || [];
var arc = new Chart.elements.Arc({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
if (colorForNewElement && helpers.isArray(this.getDataset().backgroundColor)) {
this.getDataset().backgroundColor.splice(index, 0, colorForNewElement);
}
// Reset the point
this.updateElement(arc, index, true);
// Add to the points array
this.getDataset().metaData.splice(index, 0, arc);
},
removeElement: function(index) {
this.getDataset().metaData.splice(index, 1);
},
reset: function() {
this.update(true);
},
buildOrUpdateElements: function buildOrUpdateElements() {
// Make sure we have metaData for each data point
var numData = this.getDataset().data.length;
var numArcs = this.getDataset().metaData.length;
// Make sure that we handle number of datapoints changing
if (numData < numArcs) {
// Remove excess bars for data points that have been removed
this.getDataset().metaData.splice(numData, numArcs - numData);
} else if (numData > numArcs) {
// Add new elements
for (var index = numArcs; index < numData; ++index) {
this.addElementAndReset(index);
}
}
},
getVisibleDatasetCount: function getVisibleDatasetCount() {
return helpers.where(this.chart.data.datasets, function(ds) { return helpers.isDatasetVisible(ds); }).length;
},
// Get index of the dataset in relation to the visible datasets. This allows determining the inner and outer radius correctly
getRingIndex: function getRingIndex(datasetIndex) {
var ringIndex = 0;
for (var j = 0; j < datasetIndex; ++j) {
if (helpers.isDatasetVisible(this.chart.data.datasets[j])) {
++ringIndex;
}
}
return ringIndex;
},
update: function update(reset) {
this.chart.outerRadius = Math.max((helpers.min([this.chart.chart.width, this.chart.chart.height]) / 2) - this.chart.options.elements.arc.borderWidth / 2, 0);
this.chart.innerRadius = Math.max(this.chart.options.cutoutPercentage ? (this.chart.outerRadius / 100) * (this.chart.options.cutoutPercentage) : 1, 0);
this.chart.radiusLength = (this.chart.outerRadius - this.chart.innerRadius) / this.getVisibleDatasetCount();
this.getDataset().total = 0;
helpers.each(this.getDataset().data, function(value) {
this.getDataset().total += Math.abs(value);
}, this);
this.outerRadius = this.chart.outerRadius - (this.chart.radiusLength * this.getRingIndex(this.index));
this.innerRadius = this.outerRadius - this.chart.radiusLength;
helpers.each(this.getDataset().metaData, function(arc, index) {
this.updateElement(arc, index, reset);
}, this);
},
updateElement: function(arc, index, reset) {
var resetModel = {
x: this.chart.chart.width / 2,
y: this.chart.chart.height / 2,
startAngle: Math.PI * -0.5, // use - PI / 2 instead of 3PI / 2 to make animations better. It means that we never deal with overflow during the transition function
circumference: (this.chart.options.animation.animateRotate) ? 0 : this.calculateCircumference(this.getDataset().data[index]),
outerRadius: (this.chart.options.animation.animateScale) ? 0 : this.outerRadius,
innerRadius: (this.chart.options.animation.animateScale) ? 0 : this.innerRadius,
};
helpers.extend(arc, {
// Utility
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
// Desired view properties
_model: reset ? resetModel : {
x: this.chart.chart.width / 2,
y: this.chart.chart.height / 2,
circumference: this.calculateCircumference(this.getDataset().data[index]),
outerRadius: this.outerRadius,
innerRadius: this.innerRadius,
backgroundColor: arc.custom && arc.custom.backgroundColor ? arc.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.arc.backgroundColor),
hoverBackgroundColor: arc.custom && arc.custom.hoverBackgroundColor ? arc.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().hoverBackgroundColor, index, this.chart.options.elements.arc.hoverBackgroundColor),
borderWidth: arc.custom && arc.custom.borderWidth ? arc.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.arc.borderWidth),
borderColor: arc.custom && arc.custom.borderColor ? arc.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.arc.borderColor),
label: helpers.getValueAtIndexOrDefault(this.getDataset().label, index, this.chart.data.labels[index])
},
});
if (!reset) {
if (index === 0) {
arc._model.startAngle = Math.PI * -0.5; // use - PI / 2 instead of 3PI / 2 to make animations better. It means that we never deal with overflow during the transition function
} else {
arc._model.startAngle = this.getDataset().metaData[index - 1]._model.endAngle;
}
arc._model.endAngle = arc._model.startAngle + arc._model.circumference;
//Check to see if it's the last arc, if not get the next and update its start angle
if (index < this.getDataset().data.length - 1) {
this.getDataset().metaData[index + 1]._model.startAngle = arc._model.endAngle;
}
}
arc.pivot();
},
draw: function(ease) {
var easingDecimal = ease || 1;
helpers.each(this.getDataset().metaData, function(arc, index) {
arc.transition(easingDecimal).draw();
}, this);
},
setHoverStyle: function(arc) {
var dataset = this.chart.data.datasets[arc._datasetIndex];
var index = arc._index;
arc._model.backgroundColor = arc.custom && arc.custom.hoverBackgroundColor ? arc.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(arc._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
arc._model.borderColor = arc.custom && arc.custom.hoverBorderColor ? arc.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.color(arc._model.borderColor).saturate(0.5).darken(0.1).rgbString());
arc._model.borderWidth = arc.custom && arc.custom.hoverBorderWidth ? arc.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.hoverBorderWidth, index, arc._model.borderWidth);
},
removeHoverStyle: function(arc) {
var dataset = this.chart.data.datasets[arc._datasetIndex];
var index = arc._index;
arc._model.backgroundColor = arc.custom && arc.custom.backgroundColor ? arc.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.arc.backgroundColor);
arc._model.borderColor = arc.custom && arc.custom.borderColor ? arc.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.arc.borderColor);
arc._model.borderWidth = arc.custom && arc.custom.borderWidth ? arc.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.arc.borderWidth);
},
calculateCircumference: function(value) {
if (this.getDataset().total > 0) {
return (Math.PI * 1.999999) * (value / this.getDataset().total);
} else {
return 0;
}
},
});
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.line = {
hover: {
mode: "label"
},
scales: {
xAxes: [{
type: "category",
id: 'x-axis-0'
}],
yAxes: [{
type: "linear",
id: 'y-axis-0'
}],
},
};
Chart.controllers.line = function(chart, datasetIndex) {
this.initialize.call(this, chart, datasetIndex);
};
helpers.extend(Chart.controllers.line.prototype, {
initialize: function(chart, datasetIndex) {
this.chart = chart;
this.index = datasetIndex;
this.linkScales();
this.addElements();
},
updateIndex: function(datasetIndex) {
this.index = datasetIndex;
},
linkScales: function() {
if (!this.getDataset().xAxisID) {
this.getDataset().xAxisID = this.chart.options.scales.xAxes[0].id;
}
if (!this.getDataset().yAxisID) {
this.getDataset().yAxisID = this.chart.options.scales.yAxes[0].id;
}
},
getDataset: function() {
return this.chart.data.datasets[this.index];
},
getScaleForId: function(scaleID) {
return this.chart.scales[scaleID];
},
addElements: function() {
this.getDataset().metaData = this.getDataset().metaData || [];
this.getDataset().metaDataset = this.getDataset().metaDataset || new Chart.elements.Line({
_chart: this.chart.chart,
_datasetIndex: this.index,
_points: this.getDataset().metaData,
});
helpers.each(this.getDataset().data, function(value, index) {
this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Point({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
}, this);
},
addElementAndReset: function(index) {
this.getDataset().metaData = this.getDataset().metaData || [];
var point = new Chart.elements.Point({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
// Reset the point
this.updateElement(point, index, true);
// Add to the points array
this.getDataset().metaData.splice(index, 0, point);
// Make sure bezier control points are updated
this.updateBezierControlPoints();
},
removeElement: function(index) {
this.getDataset().metaData.splice(index, 1);
},
reset: function() {
this.update(true);
},
buildOrUpdateElements: function buildOrUpdateElements() {
// Handle the number of data points changing
var numData = this.getDataset().data.length;
var numPoints = this.getDataset().metaData.length;
// Make sure that we handle number of datapoints changing
if (numData < numPoints) {
// Remove excess bars for data points that have been removed
this.getDataset().metaData.splice(numData, numPoints - numData);
} else if (numData > numPoints) {
// Add new elements
for (var index = numPoints; index < numData; ++index) {
this.addElementAndReset(index);
}
}
},
update: function update(reset) {
var line = this.getDataset().metaDataset;
var points = this.getDataset().metaData;
var yScale = this.getScaleForId(this.getDataset().yAxisID);
var xScale = this.getScaleForId(this.getDataset().xAxisID);
var scaleBase;
if (yScale.min < 0 && yScale.max < 0) {
scaleBase = yScale.getPixelForValue(yScale.max);
} else if (yScale.min > 0 && yScale.max > 0) {
scaleBase = yScale.getPixelForValue(yScale.min);
} else {
scaleBase = yScale.getPixelForValue(0);
}
// Update Line
helpers.extend(line, {
// Utility
_scale: yScale,
_datasetIndex: this.index,
// Data
_children: points,
// Model
_model: {
// Appearance
tension: line.custom && line.custom.tension ? line.custom.tension : (this.getDataset().tension || this.chart.options.elements.line.tension),
backgroundColor: line.custom && line.custom.backgroundColor ? line.custom.backgroundColor : (this.getDataset().backgroundColor || this.chart.options.elements.line.backgroundColor),
borderWidth: line.custom && line.custom.borderWidth ? line.custom.borderWidth : (this.getDataset().borderWidth || this.chart.options.elements.line.borderWidth),
borderColor: line.custom && line.custom.borderColor ? line.custom.borderColor : (this.getDataset().borderColor || this.chart.options.elements.line.borderColor),
borderCapStyle: line.custom && line.custom.borderCapStyle ? line.custom.borderCapStyle : (this.getDataset().borderCapStyle || this.chart.options.elements.line.borderCapStyle),
borderDash: line.custom && line.custom.borderDash ? line.custom.borderDash : (this.getDataset().borderDash || this.chart.options.elements.line.borderDash),
borderDashOffset: line.custom && line.custom.borderDashOffset ? line.custom.borderDashOffset : (this.getDataset().borderDashOffset || this.chart.options.elements.line.borderDashOffset),
borderJoinStyle: line.custom && line.custom.borderJoinStyle ? line.custom.borderJoinStyle : (this.getDataset().borderJoinStyle || this.chart.options.elements.line.borderJoinStyle),
fill: line.custom && line.custom.fill ? line.custom.fill : (this.getDataset().fill !== undefined ? this.getDataset().fill : this.chart.options.elements.line.fill),
// Scale
scaleTop: yScale.top,
scaleBottom: yScale.bottom,
scaleZero: scaleBase,
},
});
line.pivot();
// Update Points
helpers.each(points, function(point, index) {
this.updateElement(point, index, reset);
}, this);
this.updateBezierControlPoints();
},
updateElement: function(point, index, reset) {
var yScale = this.getScaleForId(this.getDataset().yAxisID);
var xScale = this.getScaleForId(this.getDataset().xAxisID);
var scaleBase;
if (yScale.min < 0 && yScale.max < 0) {
scaleBase = yScale.getPixelForValue(yScale.max);
} else if (yScale.min > 0 && yScale.max > 0) {
scaleBase = yScale.getPixelForValue(yScale.min);
} else {
scaleBase = yScale.getPixelForValue(0);
}
helpers.extend(point, {
// Utility
_chart: this.chart.chart,
_xScale: xScale,
_yScale: yScale,
_datasetIndex: this.index,
_index: index,
// Desired view properties
_model: {
x: xScale.getPixelForValue(this.getDataset().data[index], index, this.index, this.chart.isCombo),
y: reset ? scaleBase : yScale.getPixelForValue(this.getDataset().data[index], index, this.index),
// Appearance
tension: point.custom && point.custom.tension ? point.custom.tension : (this.getDataset().tension || this.chart.options.elements.line.tension),
radius: point.custom && point.custom.radius ? point.custom.radius : helpers.getValueAtIndexOrDefault(this.getDataset().radius, index, this.chart.options.elements.point.radius),
backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBackgroundColor, index, this.chart.options.elements.point.backgroundColor),
borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderColor, index, this.chart.options.elements.point.borderColor),
borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderWidth, index, this.chart.options.elements.point.borderWidth),
// Tooltip
hitRadius: point.custom && point.custom.hitRadius ? point.custom.hitRadius : helpers.getValueAtIndexOrDefault(this.getDataset().hitRadius, index, this.chart.options.elements.point.hitRadius),
},
});
point._model.skip = point.custom && point.custom.skip ? point.custom.skip : (isNaN(point._model.x) || isNaN(point._model.y));
},
updateBezierControlPoints: function() {
// Update bezier control points
helpers.each(this.getDataset().metaData, function(point, index) {
var controlPoints = helpers.splineCurve(
helpers.previousItem(this.getDataset().metaData, index)._model,
point._model,
helpers.nextItem(this.getDataset().metaData, index)._model,
point._model.tension
);
point._model.controlPointPreviousX = controlPoints.previous.x;
point._model.controlPointNextX = controlPoints.next.x;
// Prevent the bezier going outside of the bounds of the graph
// Cap outer bezier handles to the upper/lower scale bounds
if (controlPoints.next.y > this.chart.chartArea.bottom) {
point._model.controlPointNextY = this.chart.chartArea.bottom;
} else if (controlPoints.next.y < this.chart.chartArea.top) {
point._model.controlPointNextY = this.chart.chartArea.top;
} else {
point._model.controlPointNextY = controlPoints.next.y;
}
// Cap inner bezier handles to the upper/lower scale bounds
if (controlPoints.previous.y > this.chart.chartArea.bottom) {
point._model.controlPointPreviousY = this.chart.chartArea.bottom;
} else if (controlPoints.previous.y < this.chart.chartArea.top) {
point._model.controlPointPreviousY = this.chart.chartArea.top;
} else {
point._model.controlPointPreviousY = controlPoints.previous.y;
}
// Now pivot the point for animation
point.pivot();
}, this);
},
draw: function(ease) {
var easingDecimal = ease || 1;
// Transition Point Locations
helpers.each(this.getDataset().metaData, function(point, index) {
point.transition(easingDecimal);
}, this);
// Transition and Draw the line
this.getDataset().metaDataset.transition(easingDecimal).draw();
// Draw the points
helpers.each(this.getDataset().metaData, function(point) {
point.draw();
});
},
setHoverStyle: function(point) {
// Point
var dataset = this.chart.data.datasets[point._datasetIndex];
var index = point._index;
point._model.radius = point.custom && point.custom.hoverRadius ? point.custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.chart.options.elements.point.hoverRadius);
point._model.backgroundColor = point.custom && point.custom.hoverBackgroundColor ? point.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(point._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
point._model.borderColor = point.custom && point.custom.hoverBorderColor ? point.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(point._model.borderColor).saturate(0.5).darken(0.1).rgbString());
point._model.borderWidth = point.custom && point.custom.hoverBorderWidth ? point.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderWidth, index, point._model.borderWidth);
},
removeHoverStyle: function(point) {
var dataset = this.chart.data.datasets[point._datasetIndex];
var index = point._index;
point._model.radius = point.custom && point.custom.radius ? point.custom.radius : helpers.getValueAtIndexOrDefault(this.getDataset().radius, index, this.chart.options.elements.point.radius);
point._model.backgroundColor = point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBackgroundColor, index, this.chart.options.elements.point.backgroundColor);
point._model.borderColor = point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderColor, index, this.chart.options.elements.point.borderColor);
point._model.borderWidth = point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderWidth, index, this.chart.options.elements.point.borderWidth);
}
});
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
//Cache a local reference to Chart.helpers
helpers = Chart.helpers;
Chart.defaults.polarArea = {
scale: {
type: "radialLinear",
lineArc: true, // so that lines are circular
},
//Boolean - Whether to animate the rotation of the chart
animateRotate: true,
animateScale: true,
};
Chart.controllers.polarArea = function(chart, datasetIndex) {
this.initialize.call(this, chart, datasetIndex);
};
helpers.extend(Chart.controllers.polarArea.prototype, {
initialize: function(chart, datasetIndex) {
this.chart = chart;
this.index = datasetIndex;
this.linkScales();
this.addElements();
},
updateIndex: function(datasetIndex) {
this.index = datasetIndex;
},
linkScales: function() {
// no scales for doughnut
},
getDataset: function() {
return this.chart.data.datasets[this.index];
},
getScaleForId: function(scaleID) {
return this.chart.scales[scaleID];
},
addElements: function() {
this.getDataset().metaData = this.getDataset().metaData || [];
helpers.each(this.getDataset().data, function(value, index) {
this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Arc({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
}, this);
},
addElementAndReset: function(index) {
this.getDataset().metaData = this.getDataset().metaData || [];
var arc = new Chart.elements.Arc({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
// Reset the point
this.updateElement(arc, index, true);
// Add to the points array
this.getDataset().metaData.splice(index, 0, arc);
},
removeElement: function(index) {
this.getDataset().metaData.splice(index, 1);
},
reset: function() {
this.update(true);
},
buildOrUpdateElements: function buildOrUpdateElements() {
// Handle the number of data points changing
var numData = this.getDataset().data.length;
var numPoints = this.getDataset().metaData.length;
// Make sure that we handle number of datapoints changing
if (numData < numPoints) {
// Remove excess bars for data points that have been removed
this.getDataset().metaData.splice(numData, numPoints - numData);
} else if (numData > numPoints) {
// Add new elements
for (var index = numPoints; index < numData; ++index) {
this.addElementAndReset(index);
}
}
},
getVisibleDatasetCount: function getVisibleDatasetCount() {
return helpers.where(this.chart.data.datasets, function(ds) { return helpers.isDatasetVisible(ds); }).length;
},
update: function update(reset) {
this.chart.outerRadius = Math.max((helpers.min([this.chart.chart.width, this.chart.chart.height]) - this.chart.options.elements.arc.borderWidth / 2) / 2, 0);
this.chart.innerRadius = Math.max(this.chart.options.cutoutPercentage ? (this.chart.outerRadius / 100) * (this.chart.options.cutoutPercentage) : 1, 0);
this.chart.radiusLength = (this.chart.outerRadius - this.chart.innerRadius) / this.getVisibleDatasetCount();
this.getDataset().total = 0;
helpers.each(this.getDataset().data, function(value) {
this.getDataset().total += Math.abs(value);
}, this);
this.outerRadius = this.chart.outerRadius - (this.chart.radiusLength * this.index);
this.innerRadius = this.outerRadius - this.chart.radiusLength;
helpers.each(this.getDataset().metaData, function(arc, index) {
this.updateElement(arc, index, reset);
}, this);
},
updateElement: function(arc, index, reset) {
var circumference = 1 / this.getDataset().data.length * 2;
var startAngle = (-0.5 * Math.PI) + (Math.PI * circumference) * index;
var endAngle = startAngle + (circumference * Math.PI);
var resetModel = {
x: this.chart.chart.width / 2,
y: this.chart.chart.height / 2,
innerRadius: 0,
outerRadius: this.chart.options.animateScale ? 0 : this.chart.scale.getDistanceFromCenterForValue(this.getDataset().data[index]),
startAngle: this.chart.options.animateRotate ? Math.PI * -0.5 : startAngle,
endAngle: this.chart.options.animateRotate ? Math.PI * -0.5 : endAngle,
backgroundColor: arc.custom && arc.custom.backgroundColor ? arc.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.arc.backgroundColor),
hoverBackgroundColor: arc.custom && arc.custom.hoverBackgroundColor ? arc.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().hoverBackgroundColor, index, this.chart.options.elements.arc.hoverBackgroundColor),
borderWidth: arc.custom && arc.custom.borderWidth ? arc.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.arc.borderWidth),
borderColor: arc.custom && arc.custom.borderColor ? arc.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.arc.borderColor),
label: helpers.getValueAtIndexOrDefault(this.chart.data.labels, index, this.chart.data.labels[index])
};
helpers.extend(arc, {
// Utility
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
// Desired view properties
_model: reset ? resetModel : {
x: this.chart.chart.width / 2,
y: this.chart.chart.height / 2,
innerRadius: 0,
outerRadius: this.chart.scale.getDistanceFromCenterForValue(this.getDataset().data[index]),
startAngle: startAngle,
endAngle: endAngle,
backgroundColor: arc.custom && arc.custom.backgroundColor ? arc.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.arc.backgroundColor),
hoverBackgroundColor: arc.custom && arc.custom.hoverBackgroundColor ? arc.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().hoverBackgroundColor, index, this.chart.options.elements.arc.hoverBackgroundColor),
borderWidth: arc.custom && arc.custom.borderWidth ? arc.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.arc.borderWidth),
borderColor: arc.custom && arc.custom.borderColor ? arc.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.arc.borderColor),
label: helpers.getValueAtIndexOrDefault(this.chart.data.labels, index, this.chart.data.labels[index])
},
});
arc.pivot();
},
draw: function(ease) {
var easingDecimal = ease || 1;
helpers.each(this.getDataset().metaData, function(arc, index) {
arc.transition(easingDecimal).draw();
}, this);
},
setHoverStyle: function(arc) {
var dataset = this.chart.data.datasets[arc._datasetIndex];
var index = arc._index;
arc._model.backgroundColor = arc.custom && arc.custom.hoverBackgroundColor ? arc.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.color(arc._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
arc._model.borderColor = arc.custom && arc.custom.hoverBorderColor ? arc.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.color(arc._model.borderColor).saturate(0.5).darken(0.1).rgbString());
arc._model.borderWidth = arc.custom && arc.custom.hoverBorderWidth ? arc.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, arc._model.borderWidth);
},
removeHoverStyle: function(arc) {
var dataset = this.chart.data.datasets[arc._datasetIndex];
var index = arc._index;
arc._model.backgroundColor = arc.custom && arc.custom.backgroundColor ? arc.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().backgroundColor, index, this.chart.options.elements.arc.backgroundColor);
arc._model.borderColor = arc.custom && arc.custom.borderColor ? arc.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().borderColor, index, this.chart.options.elements.arc.borderColor);
arc._model.borderWidth = arc.custom && arc.custom.borderWidth ? arc.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().borderWidth, index, this.chart.options.elements.arc.borderWidth);
},
calculateCircumference: function(value) {
if (this.getDataset().total > 0) {
return (Math.PI * 2) * (value / this.getDataset().total);
} else {
return 0;
}
},
updateScaleRange: function() {
helpers.extend(this.chart.scale, {
size: helpers.min([this.chart.width, this.chart.height]),
xCenter: this.chart.width / 2,
yCenter: this.chart.height / 2
});
},
});
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.radar = {
scale: {
type: "radialLinear",
},
elements: {
line: {
tension: 0, // no bezier in radar
}
},
};
Chart.controllers.radar = function(chart, datasetIndex) {
this.initialize.call(this, chart, datasetIndex);
};
helpers.extend(Chart.controllers.radar.prototype, {
initialize: function(chart, datasetIndex) {
this.chart = chart;
this.index = datasetIndex;
this.linkScales();
this.addElements();
},
updateIndex: function(datasetIndex) {
this.index = datasetIndex;
},
linkScales: function() {
// No need. Single scale only
},
getDataset: function() {
return this.chart.data.datasets[this.index];
},
getScaleForId: function(scaleID) {
return this.chart.scales[scaleID];
},
addElements: function() {
this.getDataset().metaData = this.getDataset().metaData || [];
this.getDataset().metaDataset = this.getDataset().metaDataset || new Chart.elements.Line({
_chart: this.chart.chart,
_datasetIndex: this.index,
_points: this.getDataset().metaData,
_loop: true
});
helpers.each(this.getDataset().data, function(value, index) {
this.getDataset().metaData[index] = this.getDataset().metaData[index] || new Chart.elements.Point({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
_model: {
x: 0, //xScale.getPixelForValue(null, index, true),
y: 0, //this.chartArea.bottom,
},
});
}, this);
},
addElementAndReset: function(index) {
this.getDataset().metaData = this.getDataset().metaData || [];
var point = new Chart.elements.Point({
_chart: this.chart.chart,
_datasetIndex: this.index,
_index: index,
});
// Reset the point
this.updateElement(point, index, true);
// Add to the points array
this.getDataset().metaData.splice(index, 0, point);
// Make sure bezier control points are updated
this.updateBezierControlPoints();
},
removeElement: function(index) {
this.getDataset().metaData.splice(index, 1);
},
reset: function() {
this.update(true);
},
buildOrUpdateElements: function buildOrUpdateElements() {
// Handle the number of data points changing
var numData = this.getDataset().data.length;
var numPoints = this.getDataset().metaData.length;
// Make sure that we handle number of datapoints changing
if (numData < numPoints) {
// Remove excess bars for data points that have been removed
this.getDataset().metaData.splice(numData, numPoints - numData);
} else if (numData > numPoints) {
// Add new elements
for (var index = numPoints; index < numData; ++index) {
this.addElementAndReset(index);
}
}
},
update: function update(reset) {
var line = this.getDataset().metaDataset;
var points = this.getDataset().metaData;
var scale = this.chart.scale;
var scaleBase;
if (scale.min < 0 && scale.max < 0) {
scaleBase = scale.getPointPositionForValue(0, scale.max);
} else if (scale.min > 0 && scale.max > 0) {
scaleBase = scale.getPointPositionForValue(0, scale.min);
} else {
scaleBase = scale.getPointPositionForValue(0, 0);
}
helpers.extend(this.getDataset().metaDataset, {
// Utility
_datasetIndex: this.index,
// Data
_children: this.getDataset().metaData,
// Model
_model: {
// Appearance
tension: this.getDataset().tension || this.chart.options.elements.line.tension,
backgroundColor: this.getDataset().backgroundColor || this.chart.options.elements.line.backgroundColor,
borderWidth: this.getDataset().borderWidth || this.chart.options.elements.line.borderWidth,
borderColor: this.getDataset().borderColor || this.chart.options.elements.line.borderColor,
fill: this.getDataset().fill !== undefined ? this.getDataset().fill : this.chart.options.elements.line.fill, // use the value from the this.getDataset() if it was provided. else fall back to the default
// Scale
scaleTop: scale.top,
scaleBottom: scale.bottom,
scaleZero: scaleBase,
},
});
this.getDataset().metaDataset.pivot();
// Update Points
helpers.each(points, function(point, index) {
this.updateElement(point, index, reset);
}, this);
// Update bezier control points
this.updateBezierControlPoints();
},
updateElement: function(point, index, reset) {
var pointPosition = this.chart.scale.getPointPositionForValue(index, this.getDataset().data[index]);
helpers.extend(point, {
// Utility
_datasetIndex: this.index,
_index: index,
// Desired view properties
_model: {
x: reset ? this.chart.scale.xCenter : pointPosition.x, // value not used in dataset scale, but we want a consistent API between scales
y: reset ? this.chart.scale.yCenter : pointPosition.y,
// Appearance
tension: point.custom && point.custom.tension ? point.custom.tension : this.chart.options.elements.line.tension,
radius: point.custom && point.custom.radius ? point.custom.pointRadius : helpers.getValueAtIndexOrDefault(this.getDataset().pointRadius, index, this.chart.options.elements.point.radius),
backgroundColor: point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBackgroundColor, index, this.chart.options.elements.point.backgroundColor),
borderColor: point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderColor, index, this.chart.options.elements.point.borderColor),
borderWidth: point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderWidth, index, this.chart.options.elements.point.borderWidth),
// Tooltip
hitRadius: point.custom && point.custom.hitRadius ? point.custom.hitRadius : helpers.getValueAtIndexOrDefault(this.getDataset().hitRadius, index, this.chart.options.elements.point.hitRadius),
},
});
point._model.skip = point.custom && point.custom.skip ? point.custom.skip : (isNaN(point._model.x) || isNaN(point._model.y));
},
updateBezierControlPoints: function() {
helpers.each(this.getDataset().metaData, function(point, index) {
var controlPoints = helpers.splineCurve(
helpers.previousItem(this.getDataset().metaData, index, true)._model,
point._model,
helpers.nextItem(this.getDataset().metaData, index, true)._model,
point._model.tension
);
point._model.controlPointPreviousX = controlPoints.previous.x;
point._model.controlPointNextX = controlPoints.next.x;
// Prevent the bezier going outside of the bounds of the graph
// Cap outer bezier handles to the upper/lower scale bounds
if (controlPoints.next.y > this.chart.chartArea.bottom) {
point._model.controlPointNextY = this.chart.chartArea.bottom;
} else if (controlPoints.next.y < this.chart.chartArea.top) {
point._model.controlPointNextY = this.chart.chartArea.top;
} else {
point._model.controlPointNextY = controlPoints.next.y;
}
// Cap inner bezier handles to the upper/lower scale bounds
if (controlPoints.previous.y > this.chart.chartArea.bottom) {
point._model.controlPointPreviousY = this.chart.chartArea.bottom;
} else if (controlPoints.previous.y < this.chart.chartArea.top) {
point._model.controlPointPreviousY = this.chart.chartArea.top;
} else {
point._model.controlPointPreviousY = controlPoints.previous.y;
}
// Now pivot the point for animation
point.pivot();
}, this);
},
draw: function(ease) {
var easingDecimal = ease || 1;
// Transition Point Locations
helpers.each(this.getDataset().metaData, function(point, index) {
point.transition(easingDecimal);
}, this);
// Transition and Draw the line
this.getDataset().metaDataset.transition(easingDecimal).draw();
// Draw the points
helpers.each(this.getDataset().metaData, function(point) {
point.draw();
});
},
setHoverStyle: function(point) {
// Point
var dataset = this.chart.data.datasets[point._datasetIndex];
var index = point._index;
point._model.radius = point.custom && point.custom.radius ? point.custom.radius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.chart.options.elements.point.hoverRadius);
point._model.backgroundColor = point.custom && point.custom.hoverBackgroundColor ? point.custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.color(point._model.backgroundColor).saturate(0.5).darken(0.1).rgbString());
point._model.borderColor = point.custom && point.custom.hoverBorderColor ? point.custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.color(point._model.borderColor).saturate(0.5).darken(0.1).rgbString());
point._model.borderWidth = point.custom && point.custom.hoverBorderWidth ? point.custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, point._model.borderWidth);
},
removeHoverStyle: function(point) {
var dataset = this.chart.data.datasets[point._datasetIndex];
var index = point._index;
point._model.radius = point.custom && point.custom.radius ? point.custom.radius : helpers.getValueAtIndexOrDefault(this.getDataset().radius, index, this.chart.options.elements.point.radius);
point._model.backgroundColor = point.custom && point.custom.backgroundColor ? point.custom.backgroundColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBackgroundColor, index, this.chart.options.elements.point.backgroundColor);
point._model.borderColor = point.custom && point.custom.borderColor ? point.custom.borderColor : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderColor, index, this.chart.options.elements.point.borderColor);
point._model.borderWidth = point.custom && point.custom.borderWidth ? point.custom.borderWidth : helpers.getValueAtIndexOrDefault(this.getDataset().pointBorderWidth, index, this.chart.options.elements.point.borderWidth);
}
});
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.global.animation = {
duration: 1000,
easing: "easeOutQuart",
onProgress: function() {},
onComplete: function() {},
};
Chart.Animation = Chart.Element.extend({
currentStep: null, // the current animation step
numSteps: 60, // default number of steps
easing: "", // the easing to use for this animation
render: null, // render function used by the animation service
onAnimationProgress: null, // user specified callback to fire on each step of the animation
onAnimationComplete: null, // user specified callback to fire when the animation finishes
});
Chart.animationService = {
frameDuration: 17,
animations: [],
dropFrames: 0,
addAnimation: function(chartInstance, animationObject, duration, lazy) {
if (!lazy) {
chartInstance.animating = true;
}
for (var index = 0; index < this.animations.length; ++index) {
if (this.animations[index].chartInstance === chartInstance) {
// replacing an in progress animation
this.animations[index].animationObject = animationObject;
return;
}
}
this.animations.push({
chartInstance: chartInstance,
animationObject: animationObject
});
// If there are no animations queued, manually kickstart a digest, for lack of a better word
if (this.animations.length == 1) {
helpers.requestAnimFrame.call(window, this.digestWrapper);
}
},
// Cancel the animation for a given chart instance
cancelAnimation: function(chartInstance) {
var index = helpers.findNextWhere(this.animations, function(animationWrapper) {
return animationWrapper.chartInstance === chartInstance;
});
if (index) {
this.animations.splice(index, 1);
chartInstance.animating = false;
}
},
// calls startDigest with the proper context
digestWrapper: function() {
Chart.animationService.startDigest.call(Chart.animationService);
},
startDigest: function() {
var startTime = Date.now();
var framesToDrop = 0;
if (this.dropFrames > 1) {
framesToDrop = Math.floor(this.dropFrames);
this.dropFrames = this.dropFrames % 1;
}
for (var i = 0; i < this.animations.length; i++) {
if (this.animations[i].animationObject.currentStep === null) {
this.animations[i].animationObject.currentStep = 0;
}
this.animations[i].animationObject.currentStep += 1 + framesToDrop;
if (this.animations[i].animationObject.currentStep > this.animations[i].animationObject.numSteps) {
this.animations[i].animationObject.currentStep = this.animations[i].animationObject.numSteps;
}
this.animations[i].animationObject.render(this.animations[i].chartInstance, this.animations[i].animationObject);
if (this.animations[i].animationObject.currentStep == this.animations[i].animationObject.numSteps) {
// executed the last frame. Remove the animation.
this.animations[i].chartInstance.animating = false;
this.animations.splice(i, 1);
// Keep the index in place to offset the splice
i--;
}
}
var endTime = Date.now();
var dropFrames = (endTime - startTime) / this.frameDuration;
this.dropFrames += dropFrames;
// Do we have more stuff to animate?
if (this.animations.length > 0) {
helpers.requestAnimFrame.call(window, this.digestWrapper);
}
}
};
}).call(this);
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(function() {
"use strict";
//Declare root variable - window in the browser, global on the server
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
//Create a dictionary of chart types, to allow for extension of existing types
Chart.types = {};
//Store a reference to each instance - allowing us to globally resize chart instances on window resize.
//Destroy method on the chart will remove the instance of the chart from this reference.
Chart.instances = {};
// Controllers available for dataset visualization eg. bar, line, slice, etc.
Chart.controllers = {};
// The main controller of a chart
Chart.Controller = function(instance) {
this.chart = instance;
this.config = instance.config;
this.data = this.config.data;
this.options = this.config.options = helpers.configMerge(Chart.defaults.global, Chart.defaults[this.config.type], this.config.options || {});
this.id = helpers.uid();
//Add the chart instance to the global namespace
Chart.instances[this.id] = this;
if (this.options.responsive) {
// Silent resize before chart draws
this.resize(true);
}
this.initialize.call(this);
return this;
};
helpers.extend(Chart.Controller.prototype, {
initialize: function initialize() {
// TODO
// If BeforeInit(this) doesn't return false, proceed
this.bindEvents();
// Make sure controllers are built first so that each dataset is bound to an axis before the scales
// are built
this.ensureScalesHaveIDs();
this.buildOrUpdateControllers();
this.buildScales();
this.resetElements();
this.initToolTip();
this.update();
// TODO
// If AfterInit(this) doesn't return false, proceed
return this;
},
clear: function clear() {
helpers.clear(this.chart);
return this;
},
stop: function stop() {
// Stops any current animation loop occuring
Chart.animationService.cancelAnimation(this);
return this;
},
resize: function resize(silent) {
this.stop();
var canvas = this.chart.canvas;
var newWidth = helpers.getMaximumWidth(this.chart.canvas);
var newHeight = (this.options.maintainAspectRatio && isNaN(this.chart.aspectRatio) === false && isFinite(this.chart.aspectRatio) && this.chart.aspectRatio !== 0) ? newWidth / this.chart.aspectRatio : helpers.getMaximumHeight(this.chart.canvas);
canvas.width = this.chart.width = newWidth;
canvas.height = this.chart.height = newHeight;
helpers.retinaScale(this.chart);
if (!silent) {
this.update(this.options.responsiveAnimationDuration);
}
return this;
},
ensureScalesHaveIDs: function ensureScalesHaveIDs() {
var defaultXAxisID = 'x-axis-';
var defaultYAxisID = 'y-axis-';
if (this.options.scales) {
if (this.options.scales.xAxes && this.options.scales.xAxes.length) {
helpers.each(this.options.scales.xAxes, function(xAxisOptions, index) {
xAxisOptions.id = xAxisOptions.id || (defaultXAxisID + index);
}, this);
}
if (this.options.scales.yAxes && this.options.scales.yAxes.length) {
// Build the y axes
helpers.each(this.options.scales.yAxes, function(yAxisOptions, index) {
yAxisOptions.id = yAxisOptions.id || (defaultYAxisID + index);
}, this);
}
}
},
buildScales: function buildScales() {
// Map of scale ID to scale object so we can lookup later
this.scales = {};
// Build the x axes
if (this.options.scales) {
if (this.options.scales.xAxes && this.options.scales.xAxes.length) {
helpers.each(this.options.scales.xAxes, function(xAxisOptions, index) {
var ScaleClass = Chart.scaleService.getScaleConstructor(xAxisOptions.type);
var scale = new ScaleClass({
ctx: this.chart.ctx,
options: xAxisOptions,
data: this.data,
id: xAxisOptions.id,
});
this.scales[scale.id] = scale;
}, this);
}
if (this.options.scales.yAxes && this.options.scales.yAxes.length) {
// Build the y axes
helpers.each(this.options.scales.yAxes, function(yAxisOptions, index) {
var ScaleClass = Chart.scaleService.getScaleConstructor(yAxisOptions.type);
var scale = new ScaleClass({
ctx: this.chart.ctx,
options: yAxisOptions,
data: this.data,
id: yAxisOptions.id,
});
this.scales[scale.id] = scale;
}, this);
}
}
if (this.options.scale) {
// Build radial axes
var ScaleClass = Chart.scaleService.getScaleConstructor(this.options.scale.type);
var scale = new ScaleClass({
ctx: this.chart.ctx,
options: this.options.scale,
data: this.data,
chart: this.chart,
});
this.scale = scale;
this.scales.radialScale = scale;
}
Chart.scaleService.update(this, this.chart.width, this.chart.height);
},
buildOrUpdateControllers: function buildOrUpdateControllers(resetNewControllers) {
var types = [];
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
if (!dataset.type) {
dataset.type = this.config.type;
}
var type = dataset.type;
types.push(type);
if (dataset.controller) {
dataset.controller.updateIndex(datasetIndex);
return;
}
dataset.controller = new Chart.controllers[type](this, datasetIndex);
if (resetNewControllers) {
dataset.controller.reset();
}
}, this);
if (types.length > 1) {
for (var i = 1; i < types.length; i++) {
if (types[i] != types[i - 1]) {
this.isCombo = true;
break;
}
}
}
},
resetElements: function resetElements() {
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
dataset.controller.reset();
}, this);
},
update: function update(animationDuration, lazy) {
Chart.scaleService.update(this, this.chart.width, this.chart.height);
// Make sure dataset controllers are updated and new controllers are reset
this.buildOrUpdateControllers(true);
// Make sure all dataset controllers have correct meta data counts
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
dataset.controller.buildOrUpdateElements();
}, this);
// This will loop through any data and do the appropriate element update for the type
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
dataset.controller.update();
}, this);
this.render(animationDuration, lazy);
},
render: function render(duration, lazy) {
if ((typeof duration !== 'undefined' && duration !== 0) || (typeof duration == 'undefined' && this.options.animation.duration !== 0)) {
var animation = new Chart.Animation();
animation.numSteps = (duration || this.options.animation.duration) / 16.66; //60 fps
animation.easing = this.options.animation.easing;
// render function
animation.render = function(chartInstance, animationObject) {
var easingFunction = helpers.easingEffects[animationObject.easing];
var stepDecimal = animationObject.currentStep / animationObject.numSteps;
var easeDecimal = easingFunction(stepDecimal);
chartInstance.draw(easeDecimal, stepDecimal, animationObject.currentStep);
};
// user events
animation.onAnimationProgress = this.options.onAnimationProgress;
animation.onAnimationComplete = this.options.onAnimationComplete;
Chart.animationService.addAnimation(this, animation, duration, lazy);
} else {
this.draw();
if (this.options.onAnimationComplete && this.options.onAnimationComplete.call) {
this.options.onAnimationComplete.call(this);
}
}
return this;
},
draw: function(ease) {
var easingDecimal = ease || 1;
this.clear();
// Draw all the scales
helpers.each(this.scales, function(scale) {
scale.draw(this.chartArea);
}, this);
if (this.scale) {
this.scale.draw();
}
// Draw each dataset via its respective controller (reversed to support proper line stacking)
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
if (helpers.isDatasetVisible(dataset)) {
dataset.controller.draw(ease);
}
}, this);
// Finally draw the tooltip
this.tooltip.transition(easingDecimal).draw();
},
// Get the single element that was clicked on
// @return : An object containing the dataset index and element index of the matching element. Also contains the rectangle that was draw
getElementAtEvent: function(e) {
var eventPosition = helpers.getRelativePosition(e, this.chart);
var elementsArray = [];
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
if (helpers.isDatasetVisible(dataset)) {
helpers.each(dataset.metaData, function(element, index) {
if (element.inRange(eventPosition.x, eventPosition.y)) {
elementsArray.push(element);
return elementsArray;
}
}, this);
}
}, this);
return elementsArray;
},
getElementsAtEvent: function(e) {
var eventPosition = helpers.getRelativePosition(e, this.chart);
var elementsArray = [];
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
if (helpers.isDatasetVisible(dataset)) {
helpers.each(dataset.metaData, function(element, index) {
if (element.inLabelRange(eventPosition.x, eventPosition.y)) {
elementsArray.push(element);
}
}, this);
}
}, this);
return elementsArray;
},
getDatasetAtEvent: function(e) {
var eventPosition = helpers.getRelativePosition(e, this.chart);
var elementsArray = [];
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
if (helpers.isDatasetVisible(dataset)) {
helpers.each(dataset.metaData, function(element, elementIndex) {
if (element.inLabelRange(eventPosition.x, eventPosition.y)) {
helpers.each(dataset.metaData, function(element, index) {
elementsArray.push(element);
}, this);
}
}, this);
}
}, this);
return elementsArray.length ? elementsArray : [];
},
generateLegend: function generateLegend() {
return this.options.legendCallback(this);
},
destroy: function destroy() {
this.clear();
helpers.unbindEvents(this, this.events);
helpers.removeResizeListener(this.chart.canvas.parentNode);
// Reset canvas height/width attributes
var canvas = this.chart.canvas;
canvas.width = this.chart.width;
canvas.height = this.chart.height;
// if we scaled the canvas in response to a devicePixelRatio !== 1, we need to undo that transform here
if (this.chart.originalDevicePixelRatio !== undefined) {
this.chart.ctx.scale(1 / this.chart.originalDevicePixelRatio, 1 / this.chart.originalDevicePixelRatio);
}
// Reset to the old style since it may have been changed by the device pixel ratio changes
canvas.style.width = this.chart.originalCanvasStyleWidth;
canvas.style.height = this.chart.originalCanvasStyleHeight;
delete Chart.instances[this.id];
},
toBase64Image: function toBase64Image() {
return this.chart.canvas.toDataURL.apply(this.chart.canvas, arguments);
},
initToolTip: function initToolTip() {
this.tooltip = new Chart.Tooltip({
_chart: this.chart,
_data: this.data,
_options: this.options,
}, this);
},
bindEvents: function bindEvents() {
helpers.bindEvents(this, this.options.events, function(evt) {
this.eventHandler(evt);
});
},
eventHandler: function eventHandler(e) {
this.lastActive = this.lastActive || [];
this.lastTooltipActive = this.lastTooltipActive || [];
// Find Active Elements for hover and tooltips
if (e.type == 'mouseout') {
this.active = this.tooltipActive = [];
} else {
this.active = function() {
switch (this.options.hover.mode) {
case 'single':
return this.getElementAtEvent(e);
case 'label':
return this.getElementsAtEvent(e);
case 'dataset':
return this.getDatasetAtEvent(e);
default:
return e;
}
}.call(this);
this.tooltipActive = function() {
switch (this.options.tooltips.mode) {
case 'single':
return this.getElementAtEvent(e);
case 'label':
return this.getElementsAtEvent(e);
case 'dataset':
return this.getDatasetAtEvent(e);
default:
return e;
}
}.call(this);
}
// On Hover hook
if (this.options.hover.onHover) {
this.options.hover.onHover.call(this, this.active);
}
if (e.type == 'mouseup' || e.type == 'click') {
if (this.options.onClick) {
this.options.onClick.call(this, e, this.active);
}
}
var dataset;
var index;
// Remove styling for last active (even if it may still be active)
if (this.lastActive.length) {
switch (this.options.hover.mode) {
case 'single':
this.data.datasets[this.lastActive[0]._datasetIndex].controller.removeHoverStyle(this.lastActive[0], this.lastActive[0]._datasetIndex, this.lastActive[0]._index);
break;
case 'label':
case 'dataset':
for (var i = 0; i < this.lastActive.length; i++) {
this.data.datasets[this.lastActive[i]._datasetIndex].controller.removeHoverStyle(this.lastActive[i], this.lastActive[i]._datasetIndex, this.lastActive[i]._index);
}
break;
default:
// Don't change anything
}
}
// Built in hover styling
if (this.active.length && this.options.hover.mode) {
switch (this.options.hover.mode) {
case 'single':
this.data.datasets[this.active[0]._datasetIndex].controller.setHoverStyle(this.active[0]);
break;
case 'label':
case 'dataset':
for (var j = 0; j < this.active.length; j++) {
this.data.datasets[this.active[j]._datasetIndex].controller.setHoverStyle(this.active[j]);
}
break;
default:
// Don't change anything
}
}
// Built in Tooltips
if (this.options.tooltips.enabled || this.options.tooltips.custom) {
// The usual updates
this.tooltip.initialize();
// Active
if (this.tooltipActive.length) {
this.tooltip._model.opacity = 1;
helpers.extend(this.tooltip, {
_active: this.tooltipActive,
});
this.tooltip.update();
} else {
// Inactive
this.tooltip._model.opacity = 0;
}
}
// Hover animations
this.tooltip.pivot();
if (!this.animating) {
var changed;
helpers.each(this.active, function(element, index) {
if (element !== this.lastActive[index]) {
changed = true;
}
}, this);
helpers.each(this.tooltipActive, function(element, index) {
if (element !== this.lastTooltipActive[index]) {
changed = true;
}
}, this);
// If entering, leaving, or changing elements, animate the change via pivot
if ((!this.lastActive.length && this.active.length) ||
(this.lastActive.length && !this.active.length) ||
(this.lastActive.length && this.active.length && changed) ||
(!this.lastTooltipActive.length && this.tooltipActive.length) ||
(this.lastTooltipActive.length && !this.tooltipActive.length) ||
(this.lastTooltipActive.length && this.tooltipActive.length && changed)) {
this.stop();
// We only need to render at this point. Updating will cause scales to be recomputed generating flicker & using more
// memory than necessary.
this.render(this.options.hover.animationDuration, true);
}
}
// Remember Last Actives
this.lastActive = this.active;
this.lastTooltipActive = this.tooltipActive;
return this;
},
});
}).call(this);
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(function() {
"use strict";
//Declare root variable - window in the browser, global on the server
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.elements = {};
Chart.Element = function(configuration) {
helpers.extend(this, configuration);
this.initialize.apply(this, arguments);
};
helpers.extend(Chart.Element.prototype, {
initialize: function() {},
pivot: function() {
if (!this._view) {
this._view = helpers.clone(this._model);
}
this._start = helpers.clone(this._view);
return this;
},
transition: function(ease) {
if (!this._view) {
this._view = helpers.clone(this._model);
}
if (!this._start) {
this.pivot();
}
helpers.each(this._model, function(value, key) {
if (key[0] === '_' || !this._model.hasOwnProperty(key)) {
// Only non-underscored properties
}
// Init if doesn't exist
else if (!this._view[key]) {
if (typeof value === 'number') {
this._view[key] = value * ease;
} else {
this._view[key] = value || null;
}
}
// No unnecessary computations
else if (this._model[key] === this._view[key]) {
// It's the same! Woohoo!
}
// Color transitions if possible
else if (typeof value === 'string') {
try {
var color = helpers.color(this._start[key]).mix(helpers.color(this._model[key]), ease);
this._view[key] = color.rgbString();
} catch (err) {
this._view[key] = value;
}
}
// Number transitions
else if (typeof value === 'number') {
var startVal = this._start[key] !== undefined ? this._start[key] : 0;
this._view[key] = ((this._model[key] - startVal) * ease) + startVal;
}
// Everything else
else {
this._view[key] = value;
}
}, this);
if (ease === 1) {
delete this._start;
}
return this;
},
tooltipPosition: function() {
return {
x: this._model.x,
y: this._model.y
};
},
hasValue: function() {
return helpers.isNumber(this._model.x) && helpers.isNumber(this._model.y);
}
});
Chart.Element.extend = helpers.inherits;
}).call(this);
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(function() {
"use strict";
//Declare root variable - window in the browser, global on the server
var root = this,
Chart = root.Chart;
//Global Chart helpers object for utility methods and classes
var helpers = Chart.helpers = {};
//-- Basic js utility methods
var each = helpers.each = function(loopable, callback, self, reverse) {
var additionalArgs = Array.prototype.slice.call(arguments, 3);
// Check to see if null or undefined firstly.
if (loopable) {
if (loopable.length === +loopable.length) {
var i;
if (reverse) {
for (i = loopable.length - 1; i >= 0; i--) {
callback.apply(self, [loopable[i], i].concat(additionalArgs));
}
} else {
for (i = 0; i < loopable.length; i++) {
callback.apply(self, [loopable[i], i].concat(additionalArgs));
}
}
} else {
for (var item in loopable) {
callback.apply(self, [loopable[item], item].concat(additionalArgs));
}
}
}
},
clone = helpers.clone = function(obj) {
var objClone = {};
each(obj, function(value, key) {
if (obj.hasOwnProperty(key)) {
if (helpers.isArray(value)) {
objClone[key] = value.slice(0);
} else if (typeof value === 'object' && value !== null) {
objClone[key] = clone(value);
} else {
objClone[key] = value;
}
}
});
return objClone;
},
extend = helpers.extend = function(base) {
each(Array.prototype.slice.call(arguments, 1), function(extensionObject) {
each(extensionObject, function(value, key) {
if (extensionObject.hasOwnProperty(key)) {
base[key] = value;
}
});
});
return base;
},
// Need a special merge function to chart configs since they are now grouped
configMerge = helpers.configMerge = function(_base) {
var base = clone(_base);
helpers.each(Array.prototype.slice.call(arguments, 1), function(extension) {
helpers.each(extension, function(value, key) {
if (extension.hasOwnProperty(key)) {
if (key === 'scales') {
// Scale config merging is complex. Add out own function here for that
base[key] = helpers.scaleMerge(base.hasOwnProperty(key) ? base[key] : {}, value);
} else if (key === 'scale') {
// Used in polar area & radar charts since there is only one scale
base[key] = helpers.configMerge(base.hasOwnProperty(key) ? base[key] : {}, Chart.scaleService.getScaleDefaults(value.type), value);
} else if (base.hasOwnProperty(key) && helpers.isArray(base[key]) && helpers.isArray(value)) {
// In this case we have an array of objects replacing another array. Rather than doing a strict replace,
// merge. This allows easy scale option merging
var baseArray = base[key];
helpers.each(value, function(valueObj, index) {
if (index < baseArray.length) {
if (typeof baseArray[index] == 'object' && baseArray[index] !== null && typeof valueObj == 'object' && valueObj !== null) {
// Two objects are coming together. Do a merge of them.
baseArray[index] = helpers.configMerge(baseArray[index], valueObj);
} else {
// Just overwrite in this case since there is nothing to merge
baseArray[index] = valueObj;
}
} else {
baseArray.push(valueObj); // nothing to merge
}
});
} else if (base.hasOwnProperty(key) && typeof base[key] == "object" && base[key] !== null && typeof value == "object") {
// If we are overwriting an object with an object, do a merge of the properties.
base[key] = helpers.configMerge(base[key], value);
} else {
// can just overwrite the value in this case
base[key] = value;
}
}
});
});
return base;
},
extendDeep = helpers.extendDeep = function(_base) {
return _extendDeep.apply(this, arguments);
function _extendDeep(dst) {
helpers.each(arguments, function(obj) {
if (obj !== dst) {
helpers.each(obj, function(value, key) {
if (dst[key] && dst[key].constructor && dst[key].constructor === Object) {
_extendDeep(dst[key], value);
} else {
dst[key] = value;
}
});
}
});
return dst;
}
},
scaleMerge = helpers.scaleMerge = function(_base, extension) {
var base = clone(_base);
helpers.each(extension, function(value, key) {
if (extension.hasOwnProperty(key)) {
if (key === 'xAxes' || key === 'yAxes') {
// These properties are arrays of items
if (base.hasOwnProperty(key)) {
helpers.each(value, function(valueObj, index) {
if (index >= base[key].length || !base[key][index].type) {
base[key].push(helpers.configMerge(valueObj.type ? Chart.scaleService.getScaleDefaults(valueObj.type) : {}, valueObj));
} else if (valueObj.type !== base[key][index].type) {
// Type changed. Bring in the new defaults before we bring in valueObj so that valueObj can override the correct scale defaults
base[key][index] = helpers.configMerge(base[key][index], valueObj.type ? Chart.scaleService.getScaleDefaults(valueObj.type) : {}, valueObj);
} else {
// Type is the same
base[key][index] = helpers.configMerge(base[key][index], valueObj);
}
});
} else {
base[key] = [];
helpers.each(value, function(valueObj) {
base[key].push(helpers.configMerge(valueObj.type ? Chart.scaleService.getScaleDefaults(valueObj.type) : {}, valueObj));
});
}
} else if (base.hasOwnProperty(key) && typeof base[key] == "object" && base[key] !== null && typeof value == "object") {
// If we are overwriting an object with an object, do a merge of the properties.
base[key] = helpers.configMerge(base[key], value);
} else {
// can just overwrite the value in this case
base[key] = value;
}
}
});
return base;
},
getValueAtIndexOrDefault = helpers.getValueAtIndexOrDefault = function(value, index, defaultValue) {
if (value === undefined || value === null) {
return defaultValue;
}
if (helpers.isArray(value)) {
return index < value.length ? value[index] : defaultValue;
}
return value;
},
indexOf = helpers.indexOf = function(arrayToSearch, item) {
if (Array.prototype.indexOf) {
return arrayToSearch.indexOf(item);
} else {
for (var i = 0; i < arrayToSearch.length; i++) {
if (arrayToSearch[i] === item) return i;
}
return -1;
}
},
where = helpers.where = function(collection, filterCallback) {
var filtered = [];
helpers.each(collection, function(item) {
if (filterCallback(item)) {
filtered.push(item);
}
});
return filtered;
},
findNextWhere = helpers.findNextWhere = function(arrayToSearch, filterCallback, startIndex) {
// Default to start of the array
if (startIndex === undefined || startIndex === null) {
startIndex = -1;
}
for (var i = startIndex + 1; i < arrayToSearch.length; i++) {
var currentItem = arrayToSearch[i];
if (filterCallback(currentItem)) {
return currentItem;
}
}
},
findPreviousWhere = helpers.findPreviousWhere = function(arrayToSearch, filterCallback, startIndex) {
// Default to end of the array
if (startIndex === undefined || startIndex === null) {
startIndex = arrayToSearch.length;
}
for (var i = startIndex - 1; i >= 0; i--) {
var currentItem = arrayToSearch[i];
if (filterCallback(currentItem)) {
return currentItem;
}
}
},
inherits = helpers.inherits = function(extensions) {
//Basic javascript inheritance based on the model created in Backbone.js
var parent = this;
var ChartElement = (extensions && extensions.hasOwnProperty("constructor")) ? extensions.constructor : function() {
return parent.apply(this, arguments);
};
var Surrogate = function() {
this.constructor = ChartElement;
};
Surrogate.prototype = parent.prototype;
ChartElement.prototype = new Surrogate();
ChartElement.extend = inherits;
if (extensions) extend(ChartElement.prototype, extensions);
ChartElement.__super__ = parent.prototype;
return ChartElement;
},
noop = helpers.noop = function() {},
uid = helpers.uid = (function() {
var id = 0;
return function() {
return "chart-" + id++;
};
})(),
warn = helpers.warn = function(str) {
//Method for warning of errors
if (window.console && typeof window.console.warn === "function") console.warn(str);
},
amd = helpers.amd = (typeof define === 'function' && define.amd),
//-- Math methods
isNumber = helpers.isNumber = function(n) {
return !isNaN(parseFloat(n)) && isFinite(n);
},
max = helpers.max = function(array) {
return Math.max.apply(Math, array);
},
min = helpers.min = function(array) {
return Math.min.apply(Math, array);
},
sign = helpers.sign = function(x) {
if (Math.sign) {
return Math.sign(x);
} else {
x = +x; // convert to a number
if (x === 0 || isNaN(x)) {
return x;
}
return x > 0 ? 1 : -1;
}
},
log10 = helpers.log10 = function(x) {
if (Math.log10) {
return Math.log10(x);
} else {
return Math.log(x) / Math.LN10;
}
},
getDecimalPlaces = helpers.getDecimalPlaces = function(num) {
if (num % 1 !== 0 && isNumber(num)) {
var s = num.toString();
if (s.indexOf("e-") < 0) {
// no exponent, e.g. 0.01
return s.split(".")[1].length;
} else if (s.indexOf(".") < 0) {
// no decimal point, e.g. 1e-9
return parseInt(s.split("e-")[1]);
} else {
// exponent and decimal point, e.g. 1.23e-9
var parts = s.split(".")[1].split("e-");
return parts[0].length + parseInt(parts[1]);
}
} else {
return 0;
}
},
toRadians = helpers.toRadians = function(degrees) {
return degrees * (Math.PI / 180);
},
toDegrees = helpers.toDegrees = function(radians) {
return radians * (180 / Math.PI);
},
// Gets the angle from vertical upright to the point about a centre.
getAngleFromPoint = helpers.getAngleFromPoint = function(centrePoint, anglePoint) {
var distanceFromXCenter = anglePoint.x - centrePoint.x,
distanceFromYCenter = anglePoint.y - centrePoint.y,
radialDistanceFromCenter = Math.sqrt(distanceFromXCenter * distanceFromXCenter + distanceFromYCenter * distanceFromYCenter);
var angle = Math.atan2(distanceFromYCenter, distanceFromXCenter);
if (angle < (-0.5 * Math.PI)) {
angle += 2.0 * Math.PI; // make sure the returned angle is in the range of (-PI/2, 3PI/2]
}
return {
angle: angle,
distance: radialDistanceFromCenter
};
},
aliasPixel = helpers.aliasPixel = function(pixelWidth) {
return (pixelWidth % 2 === 0) ? 0 : 0.5;
},
splineCurve = helpers.splineCurve = function(FirstPoint, MiddlePoint, AfterPoint, t) {
//Props to Rob Spencer at scaled innovation for his post on splining between points
//http://scaledinnovation.com/analytics/splines/aboutSplines.html
// This function must also respect "skipped" points
var previous = FirstPoint,
current = MiddlePoint,
next = AfterPoint;
if (previous.skip) {
previous = current;
}
if (next.skip) {
next = current;
}
var d01 = Math.sqrt(Math.pow(current.x - previous.x, 2) + Math.pow(current.y - previous.y, 2)),
d12 = Math.sqrt(Math.pow(next.x - current.x, 2) + Math.pow(next.y - current.y, 2)),
fa = t * d01 / (d01 + d12), // scaling factor for triangle Ta
fb = t * d12 / (d01 + d12);
return {
previous: {
x: current.x - fa * (next.x - previous.x),
y: current.y - fa * (next.y - previous.y)
},
next: {
x: current.x + fb * (next.x - previous.x),
y: current.y + fb * (next.y - previous.y)
}
};
},
nextItem = helpers.nextItem = function(collection, index, loop) {
if (loop) {
return index >= collection.length - 1 ? collection[0] : collection[index + 1];
}
return index >= collection.length - 1 ? collection[collection.length - 1] : collection[index + 1];
},
previousItem = helpers.previousItem = function(collection, index, loop) {
if (loop) {
return index <= 0 ? collection[collection.length - 1] : collection[index - 1];
}
return index <= 0 ? collection[0] : collection[index - 1];
},
// Implementation of the nice number algorithm used in determining where axis labels will go
niceNum = helpers.niceNum = function(range, round) {
var exponent = Math.floor(helpers.log10(range));
var fraction = range / Math.pow(10, exponent);
var niceFraction;
if (round) {
if (fraction < 1.5) {
niceFraction = 1;
} else if (fraction < 3) {
niceFraction = 2;
} else if (fraction < 7) {
niceFraction = 5;
} else {
niceFraction = 10;
}
} else {
if (fraction <= 1.0) {
niceFraction = 1;
} else if (fraction <= 2) {
niceFraction = 2;
} else if (fraction <= 5) {
niceFraction = 5;
} else {
niceFraction = 10;
}
}
return niceFraction * Math.pow(10, exponent);
},
//Easing functions adapted from Robert Penner's easing equations
//http://www.robertpenner.com/easing/
easingEffects = helpers.easingEffects = {
linear: function(t) {
return t;
},
easeInQuad: function(t) {
return t * t;
},
easeOutQuad: function(t) {
return -1 * t * (t - 2);
},
easeInOutQuad: function(t) {
if ((t /= 1 / 2) < 1) {
return 1 / 2 * t * t;
}
return -1 / 2 * ((--t) * (t - 2) - 1);
},
easeInCubic: function(t) {
return t * t * t;
},
easeOutCubic: function(t) {
return 1 * ((t = t / 1 - 1) * t * t + 1);
},
easeInOutCubic: function(t) {
if ((t /= 1 / 2) < 1) {
return 1 / 2 * t * t * t;
}
return 1 / 2 * ((t -= 2) * t * t + 2);
},
easeInQuart: function(t) {
return t * t * t * t;
},
easeOutQuart: function(t) {
return -1 * ((t = t / 1 - 1) * t * t * t - 1);
},
easeInOutQuart: function(t) {
if ((t /= 1 / 2) < 1) {
return 1 / 2 * t * t * t * t;
}
return -1 / 2 * ((t -= 2) * t * t * t - 2);
},
easeInQuint: function(t) {
return 1 * (t /= 1) * t * t * t * t;
},
easeOutQuint: function(t) {
return 1 * ((t = t / 1 - 1) * t * t * t * t + 1);
},
easeInOutQuint: function(t) {
if ((t /= 1 / 2) < 1) {
return 1 / 2 * t * t * t * t * t;
}
return 1 / 2 * ((t -= 2) * t * t * t * t + 2);
},
easeInSine: function(t) {
return -1 * Math.cos(t / 1 * (Math.PI / 2)) + 1;
},
easeOutSine: function(t) {
return 1 * Math.sin(t / 1 * (Math.PI / 2));
},
easeInOutSine: function(t) {
return -1 / 2 * (Math.cos(Math.PI * t / 1) - 1);
},
easeInExpo: function(t) {
return (t === 0) ? 1 : 1 * Math.pow(2, 10 * (t / 1 - 1));
},
easeOutExpo: function(t) {
return (t === 1) ? 1 : 1 * (-Math.pow(2, -10 * t / 1) + 1);
},
easeInOutExpo: function(t) {
if (t === 0) {
return 0;
}
if (t === 1) {
return 1;
}
if ((t /= 1 / 2) < 1) {
return 1 / 2 * Math.pow(2, 10 * (t - 1));
}
return 1 / 2 * (-Math.pow(2, -10 * --t) + 2);
},
easeInCirc: function(t) {
if (t >= 1) {
return t;
}
return -1 * (Math.sqrt(1 - (t /= 1) * t) - 1);
},
easeOutCirc: function(t) {
return 1 * Math.sqrt(1 - (t = t / 1 - 1) * t);
},
easeInOutCirc: function(t) {
if ((t /= 1 / 2) < 1) {
return -1 / 2 * (Math.sqrt(1 - t * t) - 1);
}
return 1 / 2 * (Math.sqrt(1 - (t -= 2) * t) + 1);
},
easeInElastic: function(t) {
var s = 1.70158;
var p = 0;
var a = 1;
if (t === 0) {
return 0;
}
if ((t /= 1) == 1) {
return 1;
}
if (!p) {
p = 1 * 0.3;
}
if (a < Math.abs(1)) {
a = 1;
s = p / 4;
} else {
s = p / (2 * Math.PI) * Math.asin(1 / a);
}
return -(a * Math.pow(2, 10 * (t -= 1)) * Math.sin((t * 1 - s) * (2 * Math.PI) / p));
},
easeOutElastic: function(t) {
var s = 1.70158;
var p = 0;
var a = 1;
if (t === 0) {
return 0;
}
if ((t /= 1) == 1) {
return 1;
}
if (!p) {
p = 1 * 0.3;
}
if (a < Math.abs(1)) {
a = 1;
s = p / 4;
} else {
s = p / (2 * Math.PI) * Math.asin(1 / a);
}
return a * Math.pow(2, -10 * t) * Math.sin((t * 1 - s) * (2 * Math.PI) / p) + 1;
},
easeInOutElastic: function(t) {
var s = 1.70158;
var p = 0;
var a = 1;
if (t === 0) {
return 0;
}
if ((t /= 1 / 2) == 2) {
return 1;
}
if (!p) {
p = 1 * (0.3 * 1.5);
}
if (a < Math.abs(1)) {
a = 1;
s = p / 4;
} else {
s = p / (2 * Math.PI) * Math.asin(1 / a);
}
if (t < 1) {
return -0.5 * (a * Math.pow(2, 10 * (t -= 1)) * Math.sin((t * 1 - s) * (2 * Math.PI) / p));
}
return a * Math.pow(2, -10 * (t -= 1)) * Math.sin((t * 1 - s) * (2 * Math.PI) / p) * 0.5 + 1;
},
easeInBack: function(t) {
var s = 1.70158;
return 1 * (t /= 1) * t * ((s + 1) * t - s);
},
easeOutBack: function(t) {
var s = 1.70158;
return 1 * ((t = t / 1 - 1) * t * ((s + 1) * t + s) + 1);
},
easeInOutBack: function(t) {
var s = 1.70158;
if ((t /= 1 / 2) < 1) {
return 1 / 2 * (t * t * (((s *= (1.525)) + 1) * t - s));
}
return 1 / 2 * ((t -= 2) * t * (((s *= (1.525)) + 1) * t + s) + 2);
},
easeInBounce: function(t) {
return 1 - easingEffects.easeOutBounce(1 - t);
},
easeOutBounce: function(t) {
if ((t /= 1) < (1 / 2.75)) {
return 1 * (7.5625 * t * t);
} else if (t < (2 / 2.75)) {
return 1 * (7.5625 * (t -= (1.5 / 2.75)) * t + 0.75);
} else if (t < (2.5 / 2.75)) {
return 1 * (7.5625 * (t -= (2.25 / 2.75)) * t + 0.9375);
} else {
return 1 * (7.5625 * (t -= (2.625 / 2.75)) * t + 0.984375);
}
},
easeInOutBounce: function(t) {
if (t < 1 / 2) {
return easingEffects.easeInBounce(t * 2) * 0.5;
}
return easingEffects.easeOutBounce(t * 2 - 1) * 0.5 + 1 * 0.5;
}
},
//Request animation polyfill - http://www.paulirish.com/2011/requestanimationframe-for-smart-animating/
requestAnimFrame = helpers.requestAnimFrame = (function() {
return window.requestAnimationFrame ||
window.webkitRequestAnimationFrame ||
window.mozRequestAnimationFrame ||
window.oRequestAnimationFrame ||
window.msRequestAnimationFrame ||
function(callback) {
return window.setTimeout(callback, 1000 / 60);
};
})(),
cancelAnimFrame = helpers.cancelAnimFrame = (function() {
return window.cancelAnimationFrame ||
window.webkitCancelAnimationFrame ||
window.mozCancelAnimationFrame ||
window.oCancelAnimationFrame ||
window.msCancelAnimationFrame ||
function(callback) {
return window.clearTimeout(callback, 1000 / 60);
};
})(),
//-- DOM methods
getRelativePosition = helpers.getRelativePosition = function(evt, chart) {
var mouseX, mouseY;
var e = evt.originalEvent || evt,
canvas = evt.currentTarget || evt.srcElement,
boundingRect = canvas.getBoundingClientRect();
if (e.touches) {
mouseX = e.touches[0].clientX;
mouseY = e.touches[0].clientY;
} else {
mouseX = e.clientX;
mouseY = e.clientY;
}
// Scale mouse coordinates into canvas coordinates
// by following the pattern laid out by 'jerryj' in the comments of
// http://www.html5canvastutorials.com/advanced/html5-canvas-mouse-coordinates/
// We divide by the current device pixel ratio, because the canvas is scaled up by that amount in each direction. However
// the backend model is in unscaled coordinates. Since we are going to deal with our model coordinates, we go back here
mouseX = Math.round((mouseX - boundingRect.left) / (boundingRect.right - boundingRect.left) * canvas.width / chart.currentDevicePixelRatio);
mouseY = Math.round((mouseY - boundingRect.top) / (boundingRect.bottom - boundingRect.top) * canvas.height / chart.currentDevicePixelRatio);
return {
x: mouseX,
y: mouseY
};
},
addEvent = helpers.addEvent = function(node, eventType, method) {
if (node.addEventListener) {
node.addEventListener(eventType, method);
} else if (node.attachEvent) {
node.attachEvent("on" + eventType, method);
} else {
node["on" + eventType] = method;
}
},
removeEvent = helpers.removeEvent = function(node, eventType, handler) {
if (node.removeEventListener) {
node.removeEventListener(eventType, handler, false);
} else if (node.detachEvent) {
node.detachEvent("on" + eventType, handler);
} else {
node["on" + eventType] = noop;
}
},
bindEvents = helpers.bindEvents = function(chartInstance, arrayOfEvents, handler) {
// Create the events object if it's not already present
if (!chartInstance.events) chartInstance.events = {};
each(arrayOfEvents, function(eventName) {
chartInstance.events[eventName] = function() {
handler.apply(chartInstance, arguments);
};
addEvent(chartInstance.chart.canvas, eventName, chartInstance.events[eventName]);
});
},
unbindEvents = helpers.unbindEvents = function(chartInstance, arrayOfEvents) {
each(arrayOfEvents, function(handler, eventName) {
removeEvent(chartInstance.chart.canvas, eventName, handler);
});
},
getConstraintWidth = helpers.getConstraintWidth = function(domNode) { // returns Number or undefined if no constraint
var constrainedWidth;
var constrainedWNode = document.defaultView.getComputedStyle(domNode)['max-width'];
var constrainedWContainer = document.defaultView.getComputedStyle(domNode.parentNode)['max-width'];
var hasCWNode = constrainedWNode !== null && constrainedWNode !== "none";
var hasCWContainer = constrainedWContainer !== null && constrainedWContainer !== "none";
if (hasCWNode || hasCWContainer) {
constrainedWidth = Math.min((hasCWNode ? parseInt(constrainedWNode, 10) : Number.POSITIVE_INFINITY), (hasCWContainer ? parseInt(constrainedWContainer, 10) : Number.POSITIVE_INFINITY));
}
return constrainedWidth;
},
getConstraintHeight = helpers.getConstraintHeight = function(domNode) { // returns Number or undefined if no constraint
var constrainedHeight;
var constrainedHNode = document.defaultView.getComputedStyle(domNode)['max-height'];
var constrainedHContainer = document.defaultView.getComputedStyle(domNode.parentNode)['max-height'];
var hasCHNode = constrainedHNode !== null && constrainedHNode !== "none";
var hasCHContainer = constrainedHContainer !== null && constrainedHContainer !== "none";
if (constrainedHNode || constrainedHContainer) {
constrainedHeight = Math.min((hasCHNode ? parseInt(constrainedHNode, 10) : Number.POSITIVE_INFINITY), (hasCHContainer ? parseInt(constrainedHContainer, 10) : Number.POSITIVE_INFINITY));
}
return constrainedHeight;
},
getMaximumWidth = helpers.getMaximumWidth = function(domNode) {
var container = domNode.parentNode;
var padding = parseInt(getStyle(container, 'padding-left')) + parseInt(getStyle(container, 'padding-right'));
var w = container.clientWidth - padding;
var cw = getConstraintWidth(domNode);
if (cw !== undefined) {
w = Math.min(w, cw);
}
return w;
},
getMaximumHeight = helpers.getMaximumHeight = function(domNode) {
var container = domNode.parentNode;
var padding = parseInt(getStyle(container, 'padding-top')) + parseInt(getStyle(container, 'padding-bottom'));
var h = container.clientHeight - padding;
var ch = getConstraintHeight(domNode);
if (ch !== undefined) {
h = Math.min(h, ch);
}
return h;
},
getStyle = helpers.getStyle = function(el, property) {
return el.currentStyle ?
el.currentStyle[property] :
document.defaultView.getComputedStyle(el, null).getPropertyValue(property);
},
getMaximumSize = helpers.getMaximumSize = helpers.getMaximumWidth, // legacy support
retinaScale = helpers.retinaScale = function(chart) {
var ctx = chart.ctx;
var width = chart.canvas.width;
var height = chart.canvas.height;
chart.currentDevicePixelRatio = window.devicePixelRatio || 1;
if (window.devicePixelRatio !== 1) {
ctx.canvas.height = height * window.devicePixelRatio;
ctx.canvas.width = width * window.devicePixelRatio;
ctx.scale(window.devicePixelRatio, window.devicePixelRatio);
ctx.canvas.style.width = width + 'px';
ctx.canvas.style.height = height + 'px';
// Store the device pixel ratio so that we can go backwards in `destroy`.
// The devicePixelRatio changes with zoom, so there are no guarantees that it is the same
// when destroy is called
chart.originalDevicePixelRatio = chart.originalDevicePixelRatio || window.devicePixelRatio;
}
},
//-- Canvas methods
clear = helpers.clear = function(chart) {
chart.ctx.clearRect(0, 0, chart.width, chart.height);
},
fontString = helpers.fontString = function(pixelSize, fontStyle, fontFamily) {
return fontStyle + " " + pixelSize + "px " + fontFamily;
},
longestText = helpers.longestText = function(ctx, font, arrayOfStrings) {
ctx.font = font;
var longest = 0;
each(arrayOfStrings, function(string) {
var textWidth = ctx.measureText(string).width;
longest = (textWidth > longest) ? textWidth : longest;
});
return longest;
},
drawRoundedRectangle = helpers.drawRoundedRectangle = function(ctx, x, y, width, height, radius) {
ctx.beginPath();
ctx.moveTo(x + radius, y);
ctx.lineTo(x + width - radius, y);
ctx.quadraticCurveTo(x + width, y, x + width, y + radius);
ctx.lineTo(x + width, y + height - radius);
ctx.quadraticCurveTo(x + width, y + height, x + width - radius, y + height);
ctx.lineTo(x + radius, y + height);
ctx.quadraticCurveTo(x, y + height, x, y + height - radius);
ctx.lineTo(x, y + radius);
ctx.quadraticCurveTo(x, y, x + radius, y);
ctx.closePath();
},
color = helpers.color = function(color) {
if (!window.Color) {
console.log('Color.js not found!');
return color;
}
return window.Color(color);
},
addResizeListener = helpers.addResizeListener = function(node, callback) {
// Hide an iframe before the node
var hiddenIframe = document.createElement('iframe');
var hiddenIframeClass = 'chartjs-hidden-iframe';
if (hiddenIframe.classlist) {
// can use classlist
hiddenIframe.classlist.add(hiddenIframeClass);
} else {
hiddenIframe.setAttribute('class', hiddenIframeClass);
}
// Set the style
hiddenIframe.style.width = '100%';
hiddenIframe.style.display = 'block';
hiddenIframe.style.border = 0;
hiddenIframe.style.height = 0;
hiddenIframe.style.margin = 0;
hiddenIframe.style.position = 'absolute';
hiddenIframe.style.left = 0;
hiddenIframe.style.right = 0;
hiddenIframe.style.top = 0;
hiddenIframe.style.bottom = 0;
// Insert the iframe so that contentWindow is available
node.insertBefore(hiddenIframe, node.firstChild);
var timer = 0;
(hiddenIframe.contentWindow || hiddenIframe).onresize = function() {
if (callback) {
callback();
}
};
},
removeResizeListener = helpers.removeResizeListener = function(node) {
var hiddenIframe = node.querySelector('.chartjs-hidden-iframe');
// Remove the resize detect iframe
if (hiddenIframe) {
hiddenIframe.parentNode.removeChild(hiddenIframe);
}
},
isArray = helpers.isArray = function(obj) {
if (!Array.isArray) {
return Object.prototype.toString.call(arg) === '[object Array]';
}
return Array.isArray(obj);
},
isDatasetVisible = helpers.isDatasetVisible = function(dataset) {
return !dataset.hidden;
};
}).call(this);
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/*!
* Chart.js
* http://chartjs.org/
* Version: {{ version }}
*
* Copyright 2015 Nick Downie
* Released under the MIT license
* https://github.com/nnnick/Chart.js/blob/master/LICENSE.md
*/
(function() {
"use strict";
//Declare root variable - window in the browser, global on the server
var root = this,
previous = root.Chart;
//Occupy the global variable of Chart, and create a simple base class
var Chart = function(context, config) {
this.config = config;
// Support a jQuery'd canvas element
if (context.length && context[0].getContext) {
context = context[0];
}
// Support a canvas domnode
if (context.getContext) {
context = context.getContext("2d");
}
this.ctx = context;
this.canvas = context.canvas;
// Figure out what the size of the chart will be.
// If the canvas has a specified width and height, we use those else
// we look to see if the canvas node has a CSS width and height.
// If there is still no height, fill the parent container
this.width = context.canvas.width || parseInt(Chart.helpers.getStyle(context.canvas, 'width')) || Chart.helpers.getMaximumWidth(context.canvas);
this.height = context.canvas.height || parseInt(Chart.helpers.getStyle(context.canvas, 'height')) || Chart.helpers.getMaximumHeight(context.canvas);
this.aspectRatio = this.width / this.height;
if (isNaN(this.aspectRatio) || isFinite(this.aspectRatio) === false) {
// If the canvas has no size, try and figure out what the aspect ratio will be.
// Some charts prefer square canvases (pie, radar, etc). If that is specified, use that
// else use the canvas default ratio of 2
this.aspectRatio = config.aspectRatio !== undefined ? config.aspectRatio : 2;
}
// Store the original style of the element so we can set it back
this.originalCanvasStyleWidth = context.canvas.style.width;
this.originalCanvasStyleHeight = context.canvas.style.height;
// High pixel density displays - multiply the size of the canvas height/width by the device pixel ratio, then scale.
Chart.helpers.retinaScale(this);
if (config) {
this.controller = new Chart.Controller(this);
}
// Always bind this so that if the responsive state changes we still work
var _this = this;
Chart.helpers.addResizeListener(context.canvas.parentNode, function() {
if (_this.controller && _this.controller.config.options.responsive) {
_this.controller.resize();
}
});
return this.controller ? this.controller : this;
};
//Globally expose the defaults to allow for user updating/changing
Chart.defaults = {
global: {
responsive: true,
responsiveAnimationDuration: 0,
maintainAspectRatio: true,
events: ["mousemove", "mouseout", "click", "touchstart", "touchmove", "touchend"],
hover: {
onHover: null,
mode: 'single',
animationDuration: 400,
},
onClick: null,
defaultColor: 'rgba(0,0,0,0.1)',
// Element defaults defined in element extensions
elements: {},
// Legend callback string
legendCallback: function(chart) {
var text = [];
text.push('<ul class="' + chart.id + '-legend">');
for (var i = 0; i < chart.data.datasets.length; i++) {
text.push('<li><span style="background-color:' + chart.data.datasets[i].backgroundColor + '">');
if (chart.data.datasets[i].label) {
text.push(chart.data.datasets[i].label);
}
text.push('</span></li>');
}
text.push('</ul>');
return text.join("");
}
},
};
if (typeof amd !== 'undefined') {
define(function() {
return Chart;
});
} else if (typeof module === 'object' && module.exports) {
module.exports = Chart;
}
root.Chart = Chart;
Chart.noConflict = function() {
root.Chart = previous;
return Chart;
};
}).call(this);
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@@ -1,560 +0,0 @@
(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.scale = {
display: true,
// grid line settings
gridLines: {
show: true,
color: "rgba(0, 0, 0, 0.1)",
lineWidth: 1,
drawOnChartArea: true,
drawTicks: true,
zeroLineWidth: 1,
zeroLineColor: "rgba(0,0,0,0.25)",
offsetGridLines: false,
},
// scale label
scaleLabel: {
fontColor: '#666',
fontFamily: 'Helvetica Neue',
fontSize: 12,
fontStyle: 'normal',
// actual label
labelString: '',
// display property
show: false,
},
// label settings
ticks: {
beginAtZero: false,
fontSize: 12,
fontStyle: "normal",
fontColor: "#666",
fontFamily: "Helvetica Neue",
maxRotation: 90,
minRotation: 20,
mirror: false,
padding: 10,
reverse: false,
show: true,
callback: function(value) {
return '' + value;
},
},
};
Chart.Scale = Chart.Element.extend({
// These methods are ordered by lifecyle. Utilities then follow.
// Any function defined here is inherited by all scale types.
// Any function can be extended by the scale type
beforeUpdate: helpers.noop,
update: function(maxWidth, maxHeight, margins) {
// Update Lifecycle - Probably don't want to ever extend or overwrite this function ;)
this.beforeUpdate();
// Absorb the master measurements
this.maxWidth = maxWidth;
this.maxHeight = maxHeight;
this.margins = margins;
// Dimensions
this.beforeSetDimensions();
this.setDimensions();
this.afterSetDimensions();
// Ticks
this.beforeBuildTicks();
this.buildTicks();
this.afterBuildTicks();
this.beforeTickToLabelConversion();
this.convertTicksToLabels();
this.afterTickToLabelConversion();
// Tick Rotation
this.beforeCalculateTickRotation();
this.calculateTickRotation();
this.afterCalculateTickRotation();
// Fit
this.beforeFit();
this.fit();
this.afterFit();
//
this.afterUpdate();
return this.minSize;
},
afterUpdate: helpers.noop,
//
beforeSetDimensions: helpers.noop,
setDimensions: function() {
// Set the unconstrained dimension before label rotation
if (this.isHorizontal()) {
// Reset position before calculating rotation
this.width = this.maxWidth;
this.left = 0;
this.right = this.width;
} else {
this.height = this.maxHeight;
// Reset position before calculating rotation
this.top = 0;
this.bottom = this.height;
}
// Reset padding
this.paddingLeft = 0;
this.paddingTop = 0;
this.paddingRight = 0;
this.paddingBottom = 0;
},
afterSetDimensions: helpers.noop,
//
beforeBuildTicks: helpers.noop,
buildTicks: helpers.noop,
afterBuildTicks: helpers.noop,
beforeTickToLabelConversion: helpers.noop,
convertTicksToLabels: function() {
// Convert ticks to strings
this.ticks = this.ticks.map(function(numericalTick, index, ticks) {
if (this.options.ticks.userCallback) {
return this.options.ticks.userCallback(numericalTick, index, ticks);
}
return this.options.ticks.callback(numericalTick, index, ticks);
},
this);
},
afterTickToLabelConversion: helpers.noop,
//
beforeCalculateTickRotation: helpers.noop,
calculateTickRotation: function() {
//Get the width of each grid by calculating the difference
//between x offsets between 0 and 1.
var labelFont = helpers.fontString(this.options.ticks.fontSize, this.options.ticks.fontStyle, this.options.ticks.fontFamily);
this.ctx.font = labelFont;
var firstWidth = this.ctx.measureText(this.ticks[0]).width;
var lastWidth = this.ctx.measureText(this.ticks[this.ticks.length - 1]).width;
var firstRotated;
var lastRotated;
this.paddingRight = lastWidth / 2 + 3;
this.paddingLeft = firstWidth / 2 + 3;
this.labelRotation = 0;
if (this.options.display && this.isHorizontal()) {
var originalLabelWidth = helpers.longestText(this.ctx, labelFont, this.ticks);
var cosRotation;
var sinRotation;
var firstRotatedWidth;
this.labelWidth = originalLabelWidth;
// Allow 3 pixels x2 padding either side for label readability
// only the index matters for a dataset scale, but we want a consistent interface between scales
var tickWidth = this.getPixelForTick(1) - this.getPixelForTick(0) - 6;
//Max label rotation can be set or default to 90 - also act as a loop counter
while (this.labelWidth > tickWidth && this.labelRotation <= this.options.ticks.maxRotation) {
cosRotation = Math.cos(helpers.toRadians(this.labelRotation));
sinRotation = Math.sin(helpers.toRadians(this.labelRotation));
firstRotated = cosRotation * firstWidth;
lastRotated = cosRotation * lastWidth;
// We're right aligning the text now.
if (firstRotated + this.options.ticks.fontSize / 2 > this.yLabelWidth) {
this.paddingLeft = firstRotated + this.options.ticks.fontSize / 2;
}
this.paddingRight = this.options.ticks.fontSize / 2;
if (sinRotation * originalLabelWidth > this.maxHeight) {
// go back one step
this.labelRotation--;
break;
}
this.labelRotation++;
this.labelWidth = cosRotation * originalLabelWidth;
}
} else {
this.labelWidth = 0;
this.paddingRight = 0;
this.paddingLeft = 0;
}
if (this.margins) {
this.paddingLeft -= this.margins.left;
this.paddingRight -= this.margins.right;
this.paddingLeft = Math.max(this.paddingLeft, 0);
this.paddingRight = Math.max(this.paddingRight, 0);
}
},
afterCalculateTickRotation: helpers.noop,
//
beforeFit: helpers.noop,
fit: function() {
this.minSize = {
width: 0,
height: 0,
};
// Width
if (this.isHorizontal()) {
this.minSize.width = this.maxWidth; // fill all the width
} else {
this.minSize.width = this.options.gridLines.show && this.options.display ? 10 : 0;
}
// height
if (this.isHorizontal()) {
this.minSize.height = this.options.gridLines.show && this.options.display ? 10 : 0;
} else {
this.minSize.height = this.maxHeight; // fill all the height
}
// Are we showing a title for the scale?
if (this.options.scaleLabel.show) {
if (this.isHorizontal()) {
this.minSize.height += (this.options.scaleLabel.fontSize * 1.5);
} else {
this.minSize.width += (this.options.scaleLabel.fontSize * 1.5);
}
}
if (this.options.ticks.show && this.options.display) {
// Don't bother fitting the ticks if we are not showing them
var labelFont = helpers.fontString(this.options.ticks.fontSize,
this.options.ticks.fontStyle, this.options.ticks.fontFamily);
if (this.isHorizontal()) {
// A horizontal axis is more constrained by the height.
var maxLabelHeight = this.maxHeight - this.minSize.height;
var longestLabelWidth = helpers.longestText(this.ctx, labelFont, this.ticks);
var labelHeight = (Math.sin(helpers.toRadians(this.labelRotation)) * longestLabelWidth) + 1.5 * this.options.ticks.fontSize;
this.minSize.height = Math.min(this.maxHeight, this.minSize.height + labelHeight);
labelFont = helpers.fontString(this.options.ticks.fontSize, this.options.ticks.fontStyle, this.options.ticks.fontFamily);
this.ctx.font = labelFont;
var firstLabelWidth = this.ctx.measureText(this.ticks[0]).width;
var lastLabelWidth = this.ctx.measureText(this.ticks[this.ticks.length - 1]).width;
// Ensure that our ticks are always inside the canvas. When rotated, ticks are right aligned which means that the right padding is dominated
// by the font height
var cosRotation = Math.cos(helpers.toRadians(this.labelRotation));
var sinRotation = Math.sin(helpers.toRadians(this.labelRotation));
this.paddingLeft = this.labelRotation !== 0 ? (cosRotation * firstLabelWidth) + 3 : firstLabelWidth / 2 + 3; // add 3 px to move away from canvas edges
this.paddingRight = this.labelRotation !== 0 ? (sinRotation * (this.options.ticks.fontSize / 2)) + 3 : lastLabelWidth / 2 + 3; // when rotated
} else {
// A vertical axis is more constrained by the width. Labels are the dominant factor here, so get that length first
var maxLabelWidth = this.maxWidth - this.minSize.width;
var largestTextWidth = helpers.longestText(this.ctx, labelFont, this.ticks);
if (largestTextWidth < maxLabelWidth) {
// We don't need all the room
this.minSize.width += largestTextWidth;
} else {
// Expand to max size
this.minSize.width = this.maxWidth;
}
this.paddingTop = this.options.ticks.fontSize / 2;
this.paddingBottom = this.options.ticks.fontSize / 2;
}
}
if (this.margins) {
this.paddingLeft -= this.margins.left;
this.paddingTop -= this.margins.top;
this.paddingRight -= this.margins.right;
this.paddingBottom -= this.margins.bottom;
this.paddingLeft = Math.max(this.paddingLeft, 0);
this.paddingTop = Math.max(this.paddingTop, 0);
this.paddingRight = Math.max(this.paddingRight, 0);
this.paddingBottom = Math.max(this.paddingBottom, 0);
}
this.width = this.minSize.width;
this.height = this.minSize.height;
},
afterFit: helpers.noop,
// Shared Methods
isHorizontal: function() {
return this.options.position == "top" || this.options.position == "bottom";
},
// Get the correct value. NaN bad inputs, If the value type is object get the x or y based on whether we are horizontal or not
getRightValue: function getRightValue(rawValue) {
// Null and undefined values first
if (rawValue === null || typeof(rawValue) === 'undefined') {
return NaN;
}
// isNaN(object) returns true, so make sure NaN is checking for a number
if (typeof(rawValue) === 'number' && isNaN(rawValue)) {
return NaN;
}
// If it is in fact an object, dive in one more level
if (typeof(rawValue) === "object") {
return getRightValue(this.isHorizontal() ? rawValue.x : rawValue.y);
}
// Value is good, return it
return rawValue;
},
// Used to get the value to display in the tooltip for the data at the given index
// function getLabelForIndex(index, datasetIndex)
getLabelForIndex: helpers.noop,
// Used to get data value locations. Value can either be an index or a numerical value
getPixelForValue: helpers.noop,
// Used for tick location, should
getPixelForTick: function(index, includeOffset) {
if (this.isHorizontal()) {
var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
var tickWidth = innerWidth / Math.max((this.ticks.length - ((this.options.gridLines.offsetGridLines) ? 0 : 1)), 1);
var pixel = (tickWidth * index) + this.paddingLeft;
if (includeOffset) {
pixel += tickWidth / 2;
}
return this.left + Math.round(pixel);
} else {
var innerHeight = this.height - (this.paddingTop + this.paddingBottom);
return this.top + (index * (innerHeight / (this.ticks.length - 1)));
}
},
// Utility for getting the pixel location of a percentage of scale
getPixelForDecimal: function(decimal, includeOffset) {
if (this.isHorizontal()) {
var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
var valueOffset = (innerWidth * decimal) + this.paddingLeft;
return this.left + Math.round(valueOffset);
} else {
return this.top + (decimal * this.height);
}
},
// Actualy draw the scale on the canvas
// @param {rectangle} chartArea : the area of the chart to draw full grid lines on
draw: function(chartArea) {
if (this.options.display) {
var setContextLineSettings;
var isRotated = this.labelRotation !== 0;
var skipRatio;
var scaleLabelX;
var scaleLabelY;
// Make sure we draw text in the correct color and font
this.ctx.fillStyle = this.options.ticks.fontColor;
var labelFont = helpers.fontString(this.options.ticks.fontSize, this.options.ticks.fontStyle, this.options.ticks.fontFamily);
if (this.isHorizontal()) {
setContextLineSettings = true;
var yTickStart = this.options.position == "bottom" ? this.top : this.bottom - 10;
var yTickEnd = this.options.position == "bottom" ? this.top + 10 : this.bottom;
skipRatio = false;
if ((this.options.ticks.fontSize + 4) * this.ticks.length > (this.width - (this.paddingLeft + this.paddingRight))) {
skipRatio = 1 + Math.floor(((this.options.ticks.fontSize + 4) * this.ticks.length) / (this.width - (this.paddingLeft + this.paddingRight)));
}
helpers.each(this.ticks, function(label, index) {
// Blank ticks
if ((skipRatio > 1 && index % skipRatio > 0) || (label === undefined || label === null)) {
return;
}
var xLineValue = this.getPixelForTick(index); // xvalues for grid lines
var xLabelValue = this.getPixelForTick(index, this.options.gridLines.offsetGridLines); // x values for ticks (need to consider offsetLabel option)
if (this.options.gridLines.show) {
if (index === (typeof this.zeroLineIndex !== 'undefined' ? this.zeroLineIndex : 0)) {
// Draw the first index specially
this.ctx.lineWidth = this.options.gridLines.zeroLineWidth;
this.ctx.strokeStyle = this.options.gridLines.zeroLineColor;
setContextLineSettings = true; // reset next time
} else if (setContextLineSettings) {
this.ctx.lineWidth = this.options.gridLines.lineWidth;
this.ctx.strokeStyle = this.options.gridLines.color;
setContextLineSettings = false;
}
xLineValue += helpers.aliasPixel(this.ctx.lineWidth);
// Draw the label area
this.ctx.beginPath();
if (this.options.gridLines.drawTicks) {
this.ctx.moveTo(xLineValue, yTickStart);
this.ctx.lineTo(xLineValue, yTickEnd);
}
// Draw the chart area
if (this.options.gridLines.drawOnChartArea) {
this.ctx.moveTo(xLineValue, chartArea.top);
this.ctx.lineTo(xLineValue, chartArea.bottom);
}
// Need to stroke in the loop because we are potentially changing line widths & colours
this.ctx.stroke();
}
if (this.options.ticks.show) {
this.ctx.save();
this.ctx.translate(xLabelValue, (isRotated) ? this.top + 12 : this.options.position === "top" ? this.bottom - 10 : this.top + 10);
this.ctx.rotate(helpers.toRadians(this.labelRotation) * -1);
this.ctx.font = labelFont;
this.ctx.textAlign = (isRotated) ? "right" : "center";
this.ctx.textBaseline = (isRotated) ? "middle" : this.options.position === "top" ? "bottom" : "top";
this.ctx.fillText(label, 0, 0);
this.ctx.restore();
}
}, this);
if (this.options.scaleLabel.show) {
// Draw the scale label
this.ctx.textAlign = "center";
this.ctx.textBaseline = 'middle';
this.ctx.fillStyle = this.options.scaleLabel.fontColor; // render in correct colour
this.ctx.font = helpers.fontString(this.options.scaleLabel.fontSize, this.options.scaleLabel.fontStyle, this.options.scaleLabel.fontFamily);
scaleLabelX = this.left + ((this.right - this.left) / 2); // midpoint of the width
scaleLabelY = this.options.position == 'bottom' ? this.bottom - (this.options.scaleLabel.fontSize / 2) : this.top + (this.options.scaleLabel.fontSize / 2);
this.ctx.fillText(this.options.scaleLabel.labelString, scaleLabelX, scaleLabelY);
}
} else {
setContextLineSettings = true;
var xTickStart = this.options.position == "right" ? this.left : this.right - 5;
var xTickEnd = this.options.position == "right" ? this.left + 5 : this.right;
helpers.each(this.ticks, function(label, index) {
var yLineValue = this.getPixelForTick(index); // xvalues for grid lines
if (this.options.gridLines.show) {
if (index === (typeof this.zeroLineIndex !== 'undefined' ? this.zeroLineIndex : 0)) {
// Draw the first index specially
this.ctx.lineWidth = this.options.gridLines.zeroLineWidth;
this.ctx.strokeStyle = this.options.gridLines.zeroLineColor;
setContextLineSettings = true; // reset next time
} else if (setContextLineSettings) {
this.ctx.lineWidth = this.options.gridLines.lineWidth;
this.ctx.strokeStyle = this.options.gridLines.color;
setContextLineSettings = false;
}
yLineValue += helpers.aliasPixel(this.ctx.lineWidth);
// Draw the label area
this.ctx.beginPath();
if (this.options.gridLines.drawTicks) {
this.ctx.moveTo(xTickStart, yLineValue);
this.ctx.lineTo(xTickEnd, yLineValue);
}
// Draw the chart area
if (this.options.gridLines.drawOnChartArea) {
this.ctx.moveTo(chartArea.left, yLineValue);
this.ctx.lineTo(chartArea.right, yLineValue);
}
// Need to stroke in the loop because we are potentially changing line widths & colours
this.ctx.stroke();
}
if (this.options.ticks.show) {
var xLabelValue;
var yLabelValue = this.getPixelForTick(index, this.options.gridLines.offsetGridLines); // x values for ticks (need to consider offsetLabel option)
this.ctx.save();
if (this.options.position == "left") {
if (this.options.ticks.mirror) {
xLabelValue = this.right + this.options.ticks.padding;
this.ctx.textAlign = "left";
} else {
xLabelValue = this.right - this.options.ticks.padding;
this.ctx.textAlign = "right";
}
} else {
// right side
if (this.options.ticks.mirror) {
xLabelValue = this.left - this.options.ticks.padding;
this.ctx.textAlign = "right";
} else {
xLabelValue = this.left + this.options.ticks.padding;
this.ctx.textAlign = "left";
}
}
this.ctx.translate(xLabelValue, yLabelValue);
this.ctx.rotate(helpers.toRadians(this.labelRotation) * -1);
this.ctx.font = labelFont;
this.ctx.textBaseline = "middle";
this.ctx.fillText(label, 0, 0);
this.ctx.restore();
}
}, this);
if (this.options.scaleLabel.show) {
// Draw the scale label
scaleLabelX = this.options.position == 'left' ? this.left + (this.options.scaleLabel.fontSize / 2) : this.right - (this.options.scaleLabel.fontSize / 2);
scaleLabelY = this.top + ((this.bottom - this.top) / 2);
var rotation = this.options.position == 'left' ? -0.5 * Math.PI : 0.5 * Math.PI;
this.ctx.save();
this.ctx.translate(scaleLabelX, scaleLabelY);
this.ctx.rotate(rotation);
this.ctx.textAlign = "center";
this.ctx.fillStyle = this.options.scaleLabel.fontColor; // render in correct colour
this.ctx.font = helpers.fontString(this.options.scaleLabel.fontSize, this.options.scaleLabel.fontStyle, this.options.scaleLabel.fontFamily);
this.ctx.textBaseline = 'middle';
this.ctx.fillText(this.options.scaleLabel.labelString, 0, 0);
this.ctx.restore();
}
}
}
}
});
}).call(this);
-336
Ver Arquivo
@@ -1,336 +0,0 @@
(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
// The scale service is used to resize charts along with all of their axes. We make this as
// a service where scales are registered with their respective charts so that changing the
// scales does not require
Chart.scaleService = {
// Scale registration object. Extensions can register new scale types (such as log or DB scales) and then
// use the new chart options to grab the correct scale
constructors: {},
// Use a registration function so that we can move to an ES6 map when we no longer need to support
// old browsers
// Scale config defaults
defaults: {},
registerScaleType: function(type, scaleConstructor, defaults) {
this.constructors[type] = scaleConstructor;
this.defaults[type] = helpers.clone(defaults);
},
getScaleConstructor: function(type) {
return this.constructors.hasOwnProperty(type) ? this.constructors[type] : undefined;
},
getScaleDefaults: function(type) {
// Return the scale defaults merged with the global settings so that we always use the latest ones
return this.defaults.hasOwnProperty(type) ? helpers.scaleMerge(Chart.defaults.scale, this.defaults[type]) : {};
},
// The interesting function
update: function(chartInstance, width, height) {
var xPadding = width > 30 ? 5 : 2;
var yPadding = height > 30 ? 5 : 2;
if (chartInstance) {
var leftScales = helpers.where(chartInstance.scales, function(scaleInstance) {
return scaleInstance.options.position == "left";
});
var rightScales = helpers.where(chartInstance.scales, function(scaleInstance) {
return scaleInstance.options.position == "right";
});
var topScales = helpers.where(chartInstance.scales, function(scaleInstance) {
return scaleInstance.options.position == "top";
});
var bottomScales = helpers.where(chartInstance.scales, function(scaleInstance) {
return scaleInstance.options.position == "bottom";
});
// Scales that overlay the chartarea such as the radialLinear scale
var chartAreaScales = helpers.where(chartInstance.scales, function(scaleInstance) {
return scaleInstance.options.position == "chartArea";
});
// Essentially we now have any number of scales on each of the 4 sides.
// Our canvas looks like the following.
// The areas L1 and L2 are the left axes. R1 is the right axis, T1 is the top axis and
// B1 is the bottom axis
// |------------------------------------------------------|
// | | T1 | |
// |----|-----|-------------------------------------|-----|
// | | | | |
// | L1 | L2 | Chart area | R1 |
// | | | | |
// | | | | |
// |----|-----|-------------------------------------|-----|
// | | B1 | |
// | | | |
// |------------------------------------------------------|
// What we do to find the best sizing, we do the following
// 1. Determine the minimum size of the chart area.
// 2. Split the remaining width equally between each vertical axis
// 3. Split the remaining height equally between each horizontal axis
// 4. Give each scale the maximum size it can be. The scale will return it's minimum size
// 5. Adjust the sizes of each axis based on it's minimum reported size.
// 6. Refit each axis
// 7. Position each axis in the final location
// 8. Tell the chart the final location of the chart area
// 9. Tell any axes that overlay the chart area the positions of the chart area
// Step 1
var chartWidth = width / 2; // min 50%
var chartHeight = height / 2; // min 50%
chartWidth -= (2 * xPadding);
chartHeight -= (2 * yPadding);
// Step 2
var verticalScaleWidth = (width - chartWidth) / (leftScales.length + rightScales.length);
// Step 3
var horizontalScaleHeight = (height - chartHeight) / (topScales.length + bottomScales.length);
// Step 4;
var minimumScaleSizes = [];
var verticalScaleMinSizeFunction = function(scaleInstance) {
var minSize = scaleInstance.update(verticalScaleWidth, chartHeight);
minimumScaleSizes.push({
horizontal: false,
minSize: minSize,
scale: scaleInstance,
});
};
var horizontalScaleMinSizeFunction = function(scaleInstance) {
var minSize = scaleInstance.update(chartWidth, horizontalScaleHeight);
minimumScaleSizes.push({
horizontal: true,
minSize: minSize,
scale: scaleInstance,
});
};
// vertical scales
helpers.each(leftScales, verticalScaleMinSizeFunction);
helpers.each(rightScales, verticalScaleMinSizeFunction);
// horizontal scales
helpers.each(topScales, horizontalScaleMinSizeFunction);
helpers.each(bottomScales, horizontalScaleMinSizeFunction);
// Step 5
var maxChartHeight = height - (2 * yPadding);
var maxChartWidth = width - (2 * xPadding);
helpers.each(minimumScaleSizes, function(wrapper) {
if (wrapper.horizontal) {
maxChartHeight -= wrapper.minSize.height;
} else {
maxChartWidth -= wrapper.minSize.width;
}
});
// At this point, maxChartHeight and maxChartWidth are the size the chart area could
// be if the axes are drawn at their minimum sizes.
// Step 6
var verticalScaleFitFunction = function(scaleInstance) {
var wrapper = helpers.findNextWhere(minimumScaleSizes, function(wrapper) {
return wrapper.scale === scaleInstance;
});
if (wrapper) {
scaleInstance.update(wrapper.minSize.width, maxChartHeight);
}
};
var horizontalScaleFitFunction = function(scaleInstance) {
var wrapper = helpers.findNextWhere(minimumScaleSizes, function(wrapper) {
return wrapper.scale === scaleInstance;
});
var scaleMargin = {
left: totalLeftWidth,
right: totalRightWidth,
top: 0,
bottom: 0,
};
if (wrapper) {
scaleInstance.update(maxChartWidth, wrapper.minSize.height, scaleMargin);
}
};
var totalLeftWidth = xPadding;
var totalRightWidth = xPadding;
var totalTopHeight = yPadding;
var totalBottomHeight = yPadding;
helpers.each(leftScales, verticalScaleFitFunction);
helpers.each(rightScales, verticalScaleFitFunction);
// Figure out how much margin is on the left and right of the horizontal axes
helpers.each(leftScales, function(scaleInstance) {
totalLeftWidth += scaleInstance.width;
});
helpers.each(rightScales, function(scaleInstance) {
totalRightWidth += scaleInstance.width;
});
helpers.each(topScales, horizontalScaleFitFunction);
helpers.each(bottomScales, horizontalScaleFitFunction);
helpers.each(topScales, function(scaleInstance) {
totalTopHeight += scaleInstance.height;
});
helpers.each(bottomScales, function(scaleInstance) {
totalBottomHeight += scaleInstance.height;
});
// Let the left scale know the final margin
helpers.each(leftScales, function(scaleInstance) {
var wrapper = helpers.findNextWhere(minimumScaleSizes, function(wrapper) {
return wrapper.scale === scaleInstance;
});
var scaleMargin = {
left: 0,
right: 0,
top: totalTopHeight,
bottom: totalBottomHeight
};
if (wrapper) {
scaleInstance.update(wrapper.minSize.width, maxChartHeight, scaleMargin);
}
});
helpers.each(rightScales, function(scaleInstance) {
var wrapper = helpers.findNextWhere(minimumScaleSizes, function(wrapper) {
return wrapper.scale === scaleInstance;
});
var scaleMargin = {
left: 0,
right: 0,
top: totalTopHeight,
bottom: totalBottomHeight
};
if (wrapper) {
scaleInstance.update(wrapper.minSize.width, maxChartHeight, scaleMargin);
}
});
// Recalculate because the size of each scale might have changed slightly due to the margins (label rotation for instance)
totalLeftWidth = xPadding;
totalRightWidth = xPadding;
totalTopHeight = yPadding;
totalBottomHeight = yPadding;
helpers.each(leftScales, function(scaleInstance) {
totalLeftWidth += scaleInstance.width;
});
helpers.each(rightScales, function(scaleInstance) {
totalRightWidth += scaleInstance.width;
});
helpers.each(topScales, function(scaleInstance) {
totalTopHeight += scaleInstance.height;
});
helpers.each(bottomScales, function(scaleInstance) {
totalBottomHeight += scaleInstance.height;
});
// Figure out if our chart area changed. This would occur if the dataset scale label rotation
// changed due to the application of the margins in step 6. Since we can only get bigger, this is safe to do
// without calling `fit` again
var newMaxChartHeight = height - totalTopHeight - totalBottomHeight;
var newMaxChartWidth = width - totalLeftWidth - totalRightWidth;
if (newMaxChartWidth !== maxChartWidth || newMaxChartHeight !== maxChartHeight) {
helpers.each(leftScales, function(scale) {
scale.height = newMaxChartHeight;
});
helpers.each(rightScales, function(scale) {
scale.height = newMaxChartHeight;
});
helpers.each(topScales, function(scale) {
scale.width = newMaxChartWidth;
});
helpers.each(bottomScales, function(scale) {
scale.width = newMaxChartWidth;
});
maxChartHeight = newMaxChartHeight;
maxChartWidth = newMaxChartWidth;
}
// Step 7
// Position the scales
var left = xPadding;
var top = yPadding;
var right = 0;
var bottom = 0;
var verticalScalePlacer = function(scaleInstance) {
scaleInstance.left = left;
scaleInstance.right = left + scaleInstance.width;
scaleInstance.top = totalTopHeight;
scaleInstance.bottom = totalTopHeight + maxChartHeight;
// Move to next point
left = scaleInstance.right;
};
var horizontalScalePlacer = function(scaleInstance) {
scaleInstance.left = totalLeftWidth;
scaleInstance.right = totalLeftWidth + maxChartWidth;
scaleInstance.top = top;
scaleInstance.bottom = top + scaleInstance.height;
// Move to next point
top = scaleInstance.bottom;
};
helpers.each(leftScales, verticalScalePlacer);
helpers.each(topScales, horizontalScalePlacer);
// Account for chart width and height
left += maxChartWidth;
top += maxChartHeight;
helpers.each(rightScales, verticalScalePlacer);
helpers.each(bottomScales, horizontalScalePlacer);
// Step 8
chartInstance.chartArea = {
left: totalLeftWidth,
top: totalTopHeight,
right: totalLeftWidth + maxChartWidth,
bottom: totalTopHeight + maxChartHeight,
};
// Step 9
helpers.each(chartAreaScales, function(scaleInstance) {
scaleInstance.left = chartInstance.chartArea.left;
scaleInstance.top = chartInstance.chartArea.top;
scaleInstance.right = chartInstance.chartArea.right;
scaleInstance.bottom = chartInstance.chartArea.bottom;
scaleInstance.update(maxChartWidth, maxChartHeight);
});
}
}
};
}).call(this);
-468
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@@ -1,468 +0,0 @@
(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.global.tooltips = {
enabled: true,
custom: null,
mode: 'single',
backgroundColor: "rgba(0,0,0,0.8)",
titleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
titleFontSize: 12,
titleFontStyle: "bold",
titleSpacing: 2,
titleMarginBottom: 6,
titleColor: "#fff",
titleAlign: "left",
bodyFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
bodyFontSize: 12,
bodyFontStyle: "normal",
bodySpacing: 2,
bodyColor: "#fff",
bodyAlign: "left",
footerFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
footerFontSize: 12,
footerFontStyle: "bold",
footerSpacing: 2,
footerMarginTop: 6,
footerColor: "#fff",
footerAlign: "left",
yPadding: 6,
xPadding: 6,
caretSize: 5,
cornerRadius: 6,
xOffset: 10,
multiKeyBackground: '#fff',
callbacks: {
beforeTitle: helpers.noop,
title: function(xLabel, yLabel, index, datasetIndex, data) {
// Pick first label for now
return helpers.isArray(xLabel) ? xLabel[0] : xLabel;
},
afterTitle: helpers.noop,
beforeBody: helpers.noop,
beforeLabel: helpers.noop,
label: function(xLabel, yLabel, index, datasetIndex, data) {
return this._data.datasets[datasetIndex].label + ': ' + yLabel;
},
afterLabel: helpers.noop,
afterBody: helpers.noop,
beforeFooter: helpers.noop,
footer: helpers.noop,
afterFooter: helpers.noop,
},
};
// Helper to push or concat based on if the 2nd parameter is an array or not
function pushOrConcat(base, toPush) {
if (toPush) {
if (helpers.isArray(toPush)) {
base = base.concat(toPush);
} else {
base.push(toPush);
}
}
return base;
}
Chart.Tooltip = Chart.Element.extend({
initialize: function() {
var options = this._options;
helpers.extend(this, {
_model: {
// Positioning
xPadding: options.tooltips.xPadding,
yPadding: options.tooltips.yPadding,
xOffset: options.tooltips.xOffset,
// Body
bodyColor: options.tooltips.bodyColor,
_bodyFontFamily: options.tooltips.bodyFontFamily,
_bodyFontStyle: options.tooltips.bodyFontStyle,
bodyFontSize: options.tooltips.bodyFontSize,
bodySpacing: options.tooltips.bodySpacing,
_bodposition: options.tooltips.bodposition,
// Title
titleColor: options.tooltips.titleColor,
_titleFontFamily: options.tooltips.titleFontFamily,
_titleFontStyle: options.tooltips.titleFontStyle,
titleFontSize: options.tooltips.titleFontSize,
_titleAlign: options.tooltips.titleAlign,
titleSpacing: options.tooltips.titleSpacing,
titleMarginBottom: options.tooltips.titleMarginBottom,
// Footer
footerColor: options.tooltips.footerColor,
_footerFontFamily: options.tooltips.footerFontFamily,
_footerFontStyle: options.tooltips.footerFontStyle,
footerFontSize: options.tooltips.footerFontSize,
_footerAlign: options.tooltips.footerAlign,
footerSpacing: options.tooltips.footerSpacing,
footerMarginTop: options.tooltips.footerMarginTop,
// Appearance
caretSize: options.tooltips.caretSize,
cornerRadius: options.tooltips.cornerRadius,
backgroundColor: options.tooltips.backgroundColor,
opacity: 0,
legendColorBackground: options.tooltips.multiKeyBackground,
},
});
},
// Get the title
getTitle: function() {
var beforeTitle = this._options.tooltips.callbacks.beforeTitle.apply(this, arguments),
title = this._options.tooltips.callbacks.title.apply(this, arguments),
afterTitle = this._options.tooltips.callbacks.afterTitle.apply(this, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeTitle);
lines = pushOrConcat(lines, title);
lines = pushOrConcat(lines, afterTitle);
return lines;
},
getBeforeBody: function(xLabel, yLabel, index, datasetIndex, data) {
var lines = this._options.tooltips.callbacks.beforeBody.call(this, xLabel, yLabel, index, datasetIndex, data);
return helpers.isArray(lines) ? lines : [lines];
},
getBody: function(xLabel, yLabel, index, datasetIndex) {
var lines = [];
var beforeLabel,
afterLabel,
label;
if (helpers.isArray(xLabel)) {
var labels = [];
// Run EACH label pair through the label callback this time.
for (var i = 0; i < xLabel.length; i++) {
beforeLabel = this._options.tooltips.callbacks.beforeLabel.call(this, xLabel[i], yLabel[i], index, datasetIndex);
afterLabel = this._options.tooltips.callbacks.afterLabel.call(this, xLabel[i], yLabel[i], index, datasetIndex);
labels.push((beforeLabel ? beforeLabel : '') + this._options.tooltips.callbacks.label.call(this, xLabel[i], yLabel[i], index, datasetIndex) + (afterLabel ? afterLabel : ''));
}
if (labels.length) {
lines = lines.concat(labels);
}
} else {
// Run the single label through the callback
beforeLabel = this._options.tooltips.callbacks.beforeLabel.apply(this, arguments);
label = this._options.tooltips.callbacks.label.apply(this, arguments);
afterLabel = this._options.tooltips.callbacks.afterLabel.apply(this, arguments);
if (beforeLabel || label || afterLabel) {
lines.push((beforeLabel ? afterLabel : '') + label + (afterLabel ? afterLabel : ''));
}
}
return lines;
},
getAfterBody: function(xLabel, yLabel, index, datasetIndex, data) {
var lines = this._options.tooltips.callbacks.afterBody.call(this, xLabel, yLabel, index, datasetIndex, data);
return helpers.isArray(lines) ? lines : [lines];
},
// Get the footer and beforeFooter and afterFooter lines
getFooter: function() {
var beforeFooter = this._options.tooltips.callbacks.beforeFooter.apply(this, arguments);
var footer = this._options.tooltips.callbacks.footer.apply(this, arguments);
var afterFooter = this._options.tooltips.callbacks.afterFooter.apply(this, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeFooter);
lines = pushOrConcat(lines, footer);
lines = pushOrConcat(lines, afterFooter);
return lines;
},
update: function() {
var ctx = this._chart.ctx;
var element = this._active[0],
xLabel,
yLabel,
labelColors = [],
tooltipPosition;
if (this._options.tooltips.mode == 'single') {
xLabel = element._xScale.getLabelForIndex(element._index, element._datasetIndex);
yLabel = element._yScale.getLabelForIndex(element._index, element._datasetIndex);
tooltipPosition = this._active[0].tooltipPosition();
} else {
xLabel = [];
yLabel = [];
helpers.each(this._data.datasets, function(dataset, datasetIndex) {
if (!helpers.isDatasetVisible(dataset)) {
return;
}
xLabel.push(element._xScale.getLabelForIndex(element._index, datasetIndex));
yLabel.push(element._yScale.getLabelForIndex(element._index, datasetIndex));
});
helpers.each(this._active, function(active, i) {
labelColors.push({
borderColor: active._view.borderColor,
backgroundColor: active._view.backgroundColor
});
}, this);
tooltipPosition = this._active[0].tooltipPosition();
tooltipPosition.y = this._active[0]._yScale.getPixelForDecimal(0.5);
}
// Build the Text Lines
helpers.extend(this._model, {
title: this.getTitle(xLabel, yLabel, element._index, element._datasetIndex, this._data),
beforeBody: this.getBeforeBody(xLabel, yLabel, element._index, element._datasetIndex, this._data),
body: this.getBody(xLabel, yLabel, element._index, element._datasetIndex, this._data),
afterBody: this.getAfterBody(xLabel, yLabel, element._index, element._datasetIndex, this._data),
footer: this.getFooter(xLabel, yLabel, element._index, element._datasetIndex, this._data),
});
helpers.extend(this._model, {
x: Math.round(tooltipPosition.x),
y: Math.round(tooltipPosition.y),
caretPadding: tooltipPosition.padding,
labelColors: labelColors,
});
return this;
},
draw: function() {
var ctx = this._chart.ctx;
var vm = this._view;
if (this._view.opacity === 0) {
return;
}
// Get Dimensions
vm.position = "top";
var caretPadding = vm.caretPadding || 2;
var combinedBodyLength = vm.body.length + vm.beforeBody.length + vm.afterBody.length;
// Height
var tooltipHeight = vm.yPadding * 2; // Tooltip Padding
tooltipHeight += vm.title.length * vm.titleFontSize; // Title Lines
tooltipHeight += (vm.title.length - 1) * vm.titleSpacing; // Title Line Spacing
tooltipHeight += vm.title.length ? vm.titleMarginBottom : 0; // Title's bottom Margin
tooltipHeight += combinedBodyLength * vm.bodyFontSize; // Body Lines
tooltipHeight += (combinedBodyLength - 1) * vm.bodySpacing; // Body Line Spacing
tooltipHeight += vm.footer.length ? vm.footerMarginTop : 0; // Footer Margin
tooltipHeight += vm.footer.length * (vm.footerFontSize); // Footer Lines
tooltipHeight += (vm.footer.length - 1) * vm.footerSpacing; // Footer Line Spacing
// Width
var tooltipWidth = 0;
helpers.each(vm.title, function(line, i) {
ctx.font = helpers.fontString(vm.titleFontSize, vm._titleFontStyle, vm._titleFontFamily);
tooltipWidth = Math.max(tooltipWidth, ctx.measureText(line).width);
});
helpers.each(vm.body, function(line, i) {
ctx.font = helpers.fontString(vm.bodyFontSize, vm._bodyFontStyle, vm._bodyFontFamily);
tooltipWidth = Math.max(tooltipWidth, ctx.measureText(line).width + (this._options.tooltips.mode != 'single' ? (vm.bodyFontSize + 2) : 0));
}, this);
helpers.each(vm.footer, function(line, i) {
ctx.font = helpers.fontString(vm.footerFontSize, vm._footerFontStyle, vm._footerFontFamily);
tooltipWidth = Math.max(tooltipWidth, ctx.measureText(line).width);
});
tooltipWidth += 2 * vm.xPadding;
var tooltipTotalWidth = tooltipWidth + vm.caretSize + caretPadding;
// Smart Tooltip placement to stay on the canvas
// Top, center, or bottom
vm.yAlign = "center";
if (vm.y - (tooltipHeight / 2) < 0) {
vm.yAlign = "top";
} else if (vm.y + (tooltipHeight / 2) > this._chart.height) {
vm.yAlign = "bottom";
}
// Left or Right
vm.xAlign = "right";
if (vm.x + tooltipTotalWidth > this._chart.width) {
vm.xAlign = "left";
}
// Background Position
var tooltipX = vm.x,
tooltipY = vm.y;
if (vm.yAlign == 'top') {
tooltipY = vm.y - vm.caretSize - vm.cornerRadius;
} else if (vm.yAlign == 'bottom') {
tooltipY = vm.y - tooltipHeight + vm.caretSize + vm.cornerRadius;
} else {
tooltipY = vm.y - (tooltipHeight / 2);
}
if (vm.xAlign == 'left') {
tooltipX = vm.x - tooltipTotalWidth;
} else if (vm.xAlign == 'right') {
tooltipX = vm.x + caretPadding + vm.caretSize;
} else {
tooltipX = vm.x + (tooltipTotalWidth / 2);
}
// Draw Background
if (this._options.tooltips.enabled) {
ctx.fillStyle = helpers.color(vm.backgroundColor).alpha(vm.opacity).rgbString();
helpers.drawRoundedRectangle(ctx, tooltipX, tooltipY, tooltipWidth, tooltipHeight, vm.cornerRadius);
ctx.fill();
}
// Draw Caret
if (this._options.tooltips.enabled) {
ctx.fillStyle = helpers.color(vm.backgroundColor).alpha(vm.opacity).rgbString();
if (vm.xAlign == 'left') {
ctx.beginPath();
ctx.moveTo(vm.x - caretPadding, vm.y);
ctx.lineTo(vm.x - caretPadding - vm.caretSize, vm.y - vm.caretSize);
ctx.lineTo(vm.x - caretPadding - vm.caretSize, vm.y + vm.caretSize);
ctx.closePath();
ctx.fill();
} else {
ctx.beginPath();
ctx.moveTo(vm.x + caretPadding, vm.y);
ctx.lineTo(vm.x + caretPadding + vm.caretSize, vm.y - vm.caretSize);
ctx.lineTo(vm.x + caretPadding + vm.caretSize, vm.y + vm.caretSize);
ctx.closePath();
ctx.fill();
}
}
// Draw Title, Body, and Footer
if (this._options.tooltips.enabled) {
var yBase = tooltipY + vm.yPadding;
var xBase = tooltipX + vm.xPadding;
// Titles
if (vm.title.length) {
ctx.textAlign = vm._titleAlign;
ctx.textBaseline = "top";
ctx.fillStyle = helpers.color(vm.titleColor).alpha(vm.opacity).rgbString();
ctx.font = helpers.fontString(vm.titleFontSize, vm._titleFontStyle, vm._titleFontFamily);
helpers.each(vm.title, function(title, i) {
ctx.fillText(title, xBase, yBase);
yBase += vm.titleFontSize + vm.titleSpacing; // Line Height and spacing
if (i + 1 == vm.title.length) {
yBase += vm.titleMarginBottom - vm.titleSpacing; // If Last, add margin, remove spacing
}
}, this);
}
// Body
ctx.textAlign = vm._bodyAlign;
ctx.textBaseline = "top";
ctx.fillStyle = helpers.color(vm.bodyColor).alpha(vm.opacity).rgbString();
ctx.font = helpers.fontString(vm.bodyFontSize, vm._bodyFontStyle, vm._bodyFontFamily);
// Before Body
helpers.each(vm.beforeBody, function(beforeBody, i) {
ctx.fillText(vm.beforeBody, xBase, yBase);
yBase += vm.bodyFontSize + vm.bodySpacing;
});
helpers.each(vm.body, function(body, i) {
// Draw Legend-like boxes if needed
if (this._options.tooltips.mode != 'single') {
ctx.fillStyle = helpers.color(vm.labelColors[i].borderColor).alpha(vm.opacity).rgbString();
ctx.fillRect(xBase, yBase, vm.bodyFontSize, vm.bodyFontSize);
ctx.fillStyle = helpers.color(vm.labelColors[i].backgroundColor).alpha(vm.opacity).rgbString();
ctx.fillRect(xBase + 1, yBase + 1, vm.bodyFontSize - 2, vm.bodyFontSize - 2);
ctx.fillStyle = helpers.color(vm.bodyColor).alpha(vm.opacity).rgbString(); // Return fill style for text
}
// Body Line
ctx.fillText(body, xBase + (this._options.tooltips.mode != 'single' ? (vm.bodyFontSize + 2) : 0), yBase);
yBase += vm.bodyFontSize + vm.bodySpacing;
}, this);
// After Body
helpers.each(vm.afterBody, function(afterBody, i) {
ctx.fillText(vm.afterBody, xBase, yBase);
yBase += vm.bodyFontSize;
});
yBase -= vm.bodySpacing; // Remove last body spacing
// Footer
if (vm.footer.length) {
yBase += vm.footerMarginTop;
ctx.textAlign = vm._footerAlign;
ctx.textBaseline = "top";
ctx.fillStyle = helpers.color(vm.footerColor).alpha(vm.opacity).rgbString();
ctx.font = helpers.fontString(vm.footerFontSize, vm._footerFontStyle, vm._footerFontFamily);
helpers.each(vm.footer, function(footer, i) {
ctx.fillText(footer, xBase, yBase);
yBase += vm.footerFontSize + vm.footerSpacing;
}, this);
}
}
},
});
}).call(this);
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/*!
* Chart.js
* http://chartjs.org/
* Version: {{ version }}
*
* Copyright 2015 Nick Downie
* Released under the MIT license
* https://github.com/nnnick/Chart.js/blob/master/LICENSE.md
*/
(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.global.elements.arc = {
backgroundColor: Chart.defaults.global.defaultColor,
borderColor: "#fff",
borderWidth: 2
};
Chart.elements.Arc = Chart.Element.extend({
inLabelRange: function(mouseX) {
var vm = this._view;
if (vm) {
return (Math.pow(mouseX - vm.x, 2) < Math.pow(vm.radius + vm.hoverRadius, 2));
} else {
return false;
}
},
inRange: function(chartX, chartY) {
var vm = this._view;
if (vm) {
var pointRelativePosition = helpers.getAngleFromPoint(vm, {
x: chartX,
y: chartY
});
// Put into the range of (-PI/2, 3PI/2]
var startAngle = vm.startAngle < (-0.5 * Math.PI) ? vm.startAngle + (2.0 * Math.PI) : vm.startAngle > (1.5 * Math.PI) ? vm.startAngle - (2.0 * Math.PI) : vm.startAngle;
var endAngle = vm.endAngle < (-0.5 * Math.PI) ? vm.endAngle + (2.0 * Math.PI) : vm.endAngle > (1.5 * Math.PI) ? vm.endAngle - (2.0 * Math.PI) : vm.endAngle;
//Check if within the range of the open/close angle
var betweenAngles = (pointRelativePosition.angle >= startAngle && pointRelativePosition.angle <= endAngle),
withinRadius = (pointRelativePosition.distance >= vm.innerRadius && pointRelativePosition.distance <= vm.outerRadius);
return (betweenAngles && withinRadius);
} else {
return false;
}
},
tooltipPosition: function() {
var vm = this._view;
var centreAngle = vm.startAngle + ((vm.endAngle - vm.startAngle) / 2),
rangeFromCentre = (vm.outerRadius - vm.innerRadius) / 2 + vm.innerRadius;
return {
x: vm.x + (Math.cos(centreAngle) * rangeFromCentre),
y: vm.y + (Math.sin(centreAngle) * rangeFromCentre)
};
},
draw: function() {
var ctx = this._chart.ctx;
var vm = this._view;
ctx.beginPath();
ctx.arc(vm.x, vm.y, vm.outerRadius, vm.startAngle, vm.endAngle);
ctx.arc(vm.x, vm.y, vm.innerRadius, vm.endAngle, vm.startAngle, true);
ctx.closePath();
ctx.strokeStyle = vm.borderColor;
ctx.lineWidth = vm.borderWidth;
ctx.fillStyle = vm.backgroundColor;
ctx.fill();
ctx.lineJoin = 'bevel';
if (vm.borderWidth) {
ctx.stroke();
}
}
});
}).call(this);
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/*!
* Chart.js
* http://chartjs.org/
* Version: {{ version }}
*
* Copyright 2015 Nick Downie
* Released under the MIT license
* https://github.com/nnnick/Chart.js/blob/master/LICENSE.md
*/
(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.global.elements.line = {
tension: 0.4,
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 3,
borderColor: Chart.defaults.global.defaultColor,
borderCapStyle: 'butt',
borderDash: [],
borderDashOffset: 0.0,
borderJoinStyle: 'miter',
fill: true, // do we fill in the area between the line and its base axis
};
Chart.elements.Line = Chart.Element.extend({
draw: function() {
var vm = this._view;
var ctx = this._chart.ctx;
var first = this._children[0];
var last = this._children[this._children.length - 1];
ctx.save();
// Draw the background first (so the border is always on top)
helpers.each(this._children, function(point, index) {
var previous = helpers.previousItem(this._children, index);
var next = helpers.nextItem(this._children, index);
// First point moves to it's starting position no matter what
if (!index) {
ctx.moveTo(point._view.x, vm.scaleZero);
}
// Skip this point, draw to scaleZero, move to next point, and draw to next point
if (point._view.skip && !this.loop) {
ctx.lineTo(previous._view.x, vm.scaleZero);
ctx.moveTo(next._view.x, vm.scaleZero);
return;
}
// The previous line was skipped, so just draw a normal straight line to the point
if (previous._view.skip) {
ctx.lineTo(point._view.x, point._view.y);
return;
}
// Draw a bezier to point
if (vm.tension > 0 && index) {
//ctx.lineTo(point._view.x, point._view.y);
ctx.bezierCurveTo(
previous._view.controlPointNextX,
previous._view.controlPointNextY,
point._view.controlPointPreviousX,
point._view.controlPointPreviousY,
point._view.x,
point._view.y
);
return;
}
// Draw a straight line to the point
ctx.lineTo(point._view.x, point._view.y);
}, this);
// For radial scales, loop back around to the first point
if (this._loop) {
// Draw a bezier line
if (vm.tension > 0 && !first._view.skip) {
ctx.bezierCurveTo(
last._view.controlPointNextX,
last._view.controlPointNextY,
first._view.controlPointPreviousX,
first._view.controlPointPreviousY,
first._view.x,
first._view.y
);
return;
}
// Draw a straight line
ctx.lineTo(first._view.x, first._view.y);
}
// If we had points and want to fill this line, do so.
if (this._children.length > 0 && vm.fill) {
//Round off the line by going to the base of the chart, back to the start, then fill.
ctx.lineTo(this._children[this._children.length - 1]._view.x, vm.scaleZero);
ctx.lineTo(this._children[0]._view.x, vm.scaleZero);
ctx.fillStyle = vm.backgroundColor || Chart.defaults.global.defaultColor;
ctx.closePath();
ctx.fill();
}
// Now draw the line between all the points with any borders
ctx.lineCap = vm.borderCapStyle || Chart.defaults.global.elements.line.borderCapStyle;
// IE 9 and 10 do not support line dash
if (ctx.setLineDash) {
ctx.setLineDash(vm.borderDash || Chart.defaults.global.elements.line.borderDash);
}
ctx.lineDashOffset = vm.borderDashOffset || Chart.defaults.global.elements.line.borderDashOffset;
ctx.lineJoin = vm.borderJoinStyle || Chart.defaults.global.elements.line.borderJoinStyle;
ctx.lineWidth = vm.borderWidth || Chart.defaults.global.elements.line.borderWidth;
ctx.strokeStyle = vm.borderColor || Chart.defaults.global.defaultColor;
ctx.beginPath();
helpers.each(this._children, function(point, index) {
var previous = helpers.previousItem(this._children, index);
var next = helpers.nextItem(this._children, index);
if (!index) {
ctx.moveTo(point._view.x, vm.scaleZero);
}
// Skip this point and move to the next points zeroPoint
if (point._view.skip && !this.loop) {
ctx.moveTo(next._view.x, vm.scaleZero);
return;
}
// Previous point was skipped, just move to the point
if (previous._view.skip) {
ctx.moveTo(point._view.x, point._view.y);
return;
}
// Draw a bezier line to the point
if (vm.tension > 0 && index) {
ctx.bezierCurveTo(
previous._view.controlPointNextX,
previous._view.controlPointNextY,
point._view.controlPointPreviousX,
point._view.controlPointPreviousY,
point._view.x,
point._view.y
);
return;
}
// Draw a straight line to the point
ctx.lineTo(point._view.x, point._view.y);
}, this);
if (this._loop && !first._view.skip) {
// Draw a bezier line to the first point
if (vm.tension > 0) {
ctx.bezierCurveTo(
last._view.controlPointNextX,
last._view.controlPointNextY,
first._view.controlPointPreviousX,
first._view.controlPointPreviousY,
first._view.x,
first._view.y
);
return;
}
// Draw a straight line to the first point
ctx.lineTo(first._view.x, first._view.y);
}
ctx.stroke();
ctx.restore();
},
});
}).call(this);
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/*!
* Chart.js
* http://chartjs.org/
* Version: {{ version }}
*
* Copyright 2015 Nick Downie
* Released under the MIT license
* https://github.com/nnnick/Chart.js/blob/master/LICENSE.md
*/
(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.global.elements.point = {
radius: 3,
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 1,
borderColor: Chart.defaults.global.defaultColor,
// Hover
hitRadius: 1,
hoverRadius: 4,
hoverBorderWidth: 1,
};
Chart.elements.Point = Chart.Element.extend({
inRange: function(mouseX, mouseY) {
var vm = this._view;
if (vm) {
var hoverRange = vm.hitRadius + vm.radius;
return ((Math.pow(mouseX - vm.x, 2) + Math.pow(mouseY - vm.y, 2)) < Math.pow(hoverRange, 2));
} else {
return false;
}
},
inLabelRange: function(mouseX) {
var vm = this._view;
if (vm) {
return (Math.pow(mouseX - vm.x, 2) < Math.pow(vm.radius + vm.hitRadius, 2));
} else {
return false;
}
},
tooltipPosition: function() {
var vm = this._view;
return {
x: vm.x,
y: vm.y,
padding: vm.radius + vm.borderWidth
};
},
draw: function() {
var vm = this._view;
var ctx = this._chart.ctx;
if (vm.skip) {
return;
}
if (vm.radius > 0 || vm.borderWidth > 0) {
ctx.beginPath();
ctx.arc(vm.x, vm.y, vm.radius || Chart.defaults.global.elements.point.radius, 0, Math.PI * 2);
ctx.closePath();
ctx.strokeStyle = vm.borderColor || Chart.defaults.global.defaultColor;
ctx.lineWidth = vm.borderWidth || Chart.defaults.global.elements.point.borderWidth;
ctx.fillStyle = vm.backgroundColor || Chart.defaults.global.defaultColor;
ctx.fill();
ctx.stroke();
}
}
});
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
Chart.defaults.global.elements.rectangle = {
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 0,
borderColor: Chart.defaults.global.defaultColor,
};
Chart.elements.Rectangle = Chart.Element.extend({
draw: function() {
var ctx = this._chart.ctx;
var vm = this._view;
var halfWidth = vm.width / 2,
leftX = vm.x - halfWidth,
rightX = vm.x + halfWidth,
top = vm.base - (vm.base - vm.y),
halfStroke = vm.borderWidth / 2;
// Canvas doesn't allow us to stroke inside the width so we can
// adjust the sizes to fit if we're setting a stroke on the line
if (vm.borderWidth) {
leftX += halfStroke;
rightX -= halfStroke;
top += halfStroke;
}
ctx.beginPath();
ctx.fillStyle = vm.backgroundColor;
ctx.strokeStyle = vm.borderColor;
ctx.lineWidth = vm.borderWidth;
// It'd be nice to keep this class totally generic to any rectangle
// and simply specify which border to miss out.
ctx.moveTo(leftX, vm.base);
ctx.lineTo(leftX, top);
ctx.lineTo(rightX, top);
ctx.lineTo(rightX, vm.base);
ctx.fill();
if (vm.borderWidth) {
ctx.stroke();
}
},
height: function() {
var vm = this._view;
return vm.base - vm.y;
},
inRange: function(mouseX, mouseY) {
var vm = this._view;
var inRange = false;
if (vm) {
if (vm.y < vm.base) {
inRange = (mouseX >= vm.x - vm.width / 2 && mouseX <= vm.x + vm.width / 2) && (mouseY >= vm.y && mouseY <= vm.base);
} else {
inRange = (mouseX >= vm.x - vm.width / 2 && mouseX <= vm.x + vm.width / 2) && (mouseY >= vm.base && mouseY <= vm.y);
}
}
return inRange;
},
inLabelRange: function(mouseX) {
var vm = this._view;
if (vm) {
return (mouseX >= vm.x - vm.width / 2 && mouseX <= vm.x + vm.width / 2);
} else {
return false;
}
},
tooltipPosition: function() {
var vm = this._view;
if (vm.y < vm.base) {
return {
x: vm.x,
y: vm.y
};
} else {
return {
x: vm.x,
y: vm.base
};
}
},
});
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
// Default config for a category scale
var defaultConfig = {
position: "bottom",
};
var DatasetScale = Chart.Scale.extend({
buildTicks: function(index) {
this.ticks = this.data.labels;
},
getLabelForIndex: function(index, datasetIndex) {
return this.ticks[index];
},
// Used to get data value locations. Value can either be an index or a numerical value
getPixelForValue: function(value, index, datasetIndex, includeOffset) {
if (this.isHorizontal()) {
var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
var valueWidth = innerWidth / Math.max((this.data.labels.length - ((this.options.gridLines.offsetGridLines) ? 0 : 1)), 1);
var widthOffset = (valueWidth * index) + this.paddingLeft;
if (this.options.gridLines.offsetGridLines && includeOffset) {
widthOffset += (valueWidth / 2);
}
return this.left + Math.round(widthOffset);
} else {
var innerHeight = this.height - (this.paddingTop + this.paddingBottom);
var valueHeight = innerHeight / Math.max((this.data.labels.length - ((this.options.gridLines.offsetGridLines) ? 0 : 1)), 1);
var heightOffset = (valueHeight * index) + this.paddingTop;
if (this.options.gridLines.offsetGridLines && includeOffset) {
heightOffset += (valueHeight / 2);
}
return this.top + Math.round(heightOffset);
}
},
});
Chart.scaleService.registerScaleType("category", DatasetScale, defaultConfig);
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
var defaultConfig = {
position: "left",
ticks: {
callback: function(tickValue, index, ticks) {
var delta = ticks[1] - ticks[0];
// If we have a number like 2.5 as the delta, figure out how many decimal places we need
if (Math.abs(delta) > 1) {
if (tickValue !== Math.floor(tickValue)) {
// not an integer
delta = tickValue - Math.floor(tickValue);
}
}
var logDelta = helpers.log10(Math.abs(delta));
var tickString = '';
if (tickValue !== 0) {
var numDecimal = -1 * Math.floor(logDelta);
numDecimal = Math.max(Math.min(numDecimal, 20), 0); // toFixed has a max of 20 decimal places
tickString = tickValue.toFixed(numDecimal);
} else {
tickString = '0'; // never show decimal places for 0
}
return tickString;
}
}
};
var LinearScale = Chart.Scale.extend({
buildTicks: function() {
// First Calculate the range
this.min = null;
this.max = null;
var positiveValues = [];
var negativeValues = [];
if (this.options.stacked) {
helpers.each(this.data.datasets, function(dataset) {
if (helpers.isDatasetVisible(dataset) && (this.isHorizontal() ? dataset.xAxisID === this.id : dataset.yAxisID === this.id)) {
helpers.each(dataset.data, function(rawValue, index) {
var value = this.getRightValue(rawValue);
if (isNaN(value)) {
return;
}
positiveValues[index] = positiveValues[index] || 0;
negativeValues[index] = negativeValues[index] || 0;
if (this.options.relativePoints) {
positiveValues[index] = 100;
} else {
if (value < 0) {
negativeValues[index] += value;
} else {
positiveValues[index] += value;
}
}
}, this);
}
}, this);
var values = positiveValues.concat(negativeValues);
this.min = helpers.min(values);
this.max = helpers.max(values);
} else {
helpers.each(this.data.datasets, function(dataset) {
if (helpers.isDatasetVisible(dataset) && (this.isHorizontal() ? dataset.xAxisID === this.id : dataset.yAxisID === this.id)) {
helpers.each(dataset.data, function(rawValue, index) {
var value = this.getRightValue(rawValue);
if (isNaN(value)) {
return;
}
if (this.min === null) {
this.min = value;
} else if (value < this.min) {
this.min = value;
}
if (this.max === null) {
this.max = value;
} else if (value > this.max) {
this.max = value;
}
}, this);
}
}, this);
}
if (this.min === this.max) {
this.min--;
this.max++;
}
// Then calulate the ticks
this.ticks = [];
// Figure out what the max number of ticks we can support it is based on the size of
// the axis area. For now, we say that the minimum tick spacing in pixels must be 50
// We also limit the maximum number of ticks to 11 which gives a nice 10 squares on
// the graph
var maxTicks;
if (this.isHorizontal()) {
maxTicks = Math.min(11, Math.ceil(this.width / 50));
} else {
// The factor of 2 used to scale the font size has been experimentally determined.
maxTicks = Math.min(11, Math.ceil(this.height / (2 * this.options.ticks.fontSize)));
}
// Make sure we always have at least 2 ticks
maxTicks = Math.max(2, maxTicks);
// To get a "nice" value for the tick spacing, we will use the appropriately named
// "nice number" algorithm. See http://stackoverflow.com/questions/8506881/nice-label-algorithm-for-charts-with-minimum-ticks
// for details.
// If we are forcing it to begin at 0, but 0 will already be rendered on the chart,
// do nothing since that would make the chart weird. If the user really wants a weird chart
// axis, they can manually override it
if (this.options.ticks.beginAtZero) {
var minSign = helpers.sign(this.min);
var maxSign = helpers.sign(this.max);
if (minSign < 0 && maxSign < 0) {
// move the top up to 0
this.max = 0;
} else if (minSign > 0 && maxSign > 0) {
// move the botttom down to 0
this.min = 0;
}
}
var niceRange = helpers.niceNum(this.max - this.min, false);
var spacing = helpers.niceNum(niceRange / (maxTicks - 1), true);
var niceMin = Math.floor(this.min / spacing) * spacing;
var niceMax = Math.ceil(this.max / spacing) * spacing;
var numSpaces = Math.ceil((niceMax - niceMin) / spacing);
// Put the values into the ticks array
for (var j = 0; j <= numSpaces; ++j) {
this.ticks.push(niceMin + (j * spacing));
}
if (this.options.position == "left" || this.options.position == "right") {
// We are in a vertical orientation. The top value is the highest. So reverse the array
this.ticks.reverse();
}
// At this point, we need to update our max and min given the tick values since we have expanded the
// range of the scale
this.max = helpers.max(this.ticks);
this.min = helpers.min(this.ticks);
if (this.options.ticks.reverse) {
this.ticks.reverse();
this.start = this.max;
this.end = this.min;
} else {
this.start = this.min;
this.end = this.max;
}
this.zeroLineIndex = this.ticks.indexOf(0);
},
getLabelForIndex: function(index, datasetIndex) {
return this.getRightValue(this.data.datasets[datasetIndex].data[index]);
},
// Utils
getPixelForValue: function(value, index, datasetIndex, includeOffset) {
// This must be called after fit has been run so that
// this.left, this.top, this.right, and this.bottom have been defined
var rightValue = this.getRightValue(value);
var pixel;
var range = this.end - this.start;
if (this.isHorizontal()) {
var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
pixel = this.left + (innerWidth / range * (rightValue - this.start));
return Math.round(pixel + this.paddingLeft);
} else {
var innerHeight = this.height - (this.paddingTop + this.paddingBottom);
pixel = (this.bottom - this.paddingBottom) - (innerHeight / range * (rightValue - this.start));
return Math.round(pixel);
}
},
});
Chart.scaleService.registerScaleType("linear", LinearScale, defaultConfig);
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
var defaultConfig = {
position: "left",
// label settings
ticks: {
callback: function(value) {
var remain = value / (Math.pow(10, Math.floor(Chart.helpers.log10(value))));
if (remain === 1 || remain === 2 || remain === 5) {
return value.toExponential();
} else {
return '';
}
}
}
};
var LogarithmicScale = Chart.Scale.extend({
buildTicks: function() {
// Calculate Range (we may break this out into it's own lifecycle function)
this.min = null;
this.max = null;
var values = [];
if (this.options.stacked) {
helpers.each(this.data.datasets, function(dataset) {
if (helpers.isDatasetVisible(dataset) && (this.isHorizontal() ? dataset.xAxisID === this.id : dataset.yAxisID === this.id)) {
helpers.each(dataset.data, function(rawValue, index) {
var value = this.getRightValue(rawValue);
if (isNaN(value)) {
return;
}
values[index] = values[index] || 0;
if (this.options.relativePoints) {
values[index] = 100;
} else {
// Don't need to split positive and negative since the log scale can't handle a 0 crossing
values[index] += value;
}
}, this);
}
}, this);
this.min = helpers.min(values);
this.max = helpers.max(values);
} else {
helpers.each(this.data.datasets, function(dataset) {
if (helpers.isDatasetVisible(dataset) && (this.isHorizontal() ? dataset.xAxisID === this.id : dataset.yAxisID === this.id)) {
helpers.each(dataset.data, function(rawValue, index) {
var value = this.getRightValue(rawValue);
if (isNaN(value)) {
return;
}
if (this.min === null) {
this.min = value;
} else if (value < this.min) {
this.min = value;
}
if (this.max === null) {
this.max = value;
} else if (value > this.max) {
this.max = value;
}
}, this);
}
}, this);
}
if (this.min === this.max) {
if (this.min !== 0 && this.min !== null) {
this.min = Math.pow(10, Math.floor(helpers.log10(this.min)) - 1);
this.max = Math.pow(10, Math.floor(helpers.log10(this.max)) + 1);
} else {
this.min = 1;
this.max = 10;
}
}
// Reset the ticks array. Later on, we will draw a grid line at these positions
// The array simply contains the numerical value of the spots where ticks will be
this.tickValues = [];
// Figure out what the max number of ticks we can support it is based on the size of
// the axis area. For now, we say that the minimum tick spacing in pixels must be 50
// We also limit the maximum number of ticks to 11 which gives a nice 10 squares on
// the graph
var minExponent = Math.floor(helpers.log10(this.min));
var maxExponent = Math.ceil(helpers.log10(this.max));
for (var exponent = minExponent; exponent < maxExponent; ++exponent) {
for (var i = 1; i < 10; ++i) {
this.tickValues.push(i * Math.pow(10, exponent));
}
}
this.tickValues.push(1.0 * Math.pow(10, maxExponent));
if (this.options.position == "left" || this.options.position == "right") {
// We are in a vertical orientation. The top value is the highest. So reverse the array
this.tickValues.reverse();
}
// At this point, we need to update our max and min given the tick values since we have expanded the
// range of the scale
this.max = helpers.max(this.tickValues);
this.min = helpers.min(this.tickValues);
if (this.options.ticks.reverse) {
this.tickValues.reverse();
this.start = this.max;
this.end = this.min;
} else {
this.start = this.min;
this.end = this.max;
}
this.ticks = this.tickValues.slice();
},
// Get the correct tooltip label
getLabelForIndex: function(index, datasetIndex) {
return this.getRightValue(this.data.datasets[datasetIndex].data[index]);
},
getPixelForTick: function(index, includeOffset) {
return this.getPixelForValue(this.tickValues[index], null, null, includeOffset);
},
getPixelForValue: function(value, index, datasetIndex, includeOffset) {
var pixel;
var newVal = this.getRightValue(value);
var range = helpers.log10(this.end) - helpers.log10(this.start);
if (this.isHorizontal()) {
if (newVal === 0) {
pixel = this.left + this.paddingLeft;
} else {
var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
pixel = this.left + (innerWidth / range * (helpers.log10(newVal) - helpers.log10(this.start)));
return pixel + this.paddingLeft;
}
} else {
// Bottom - top since pixels increase downard on a screen
if (newVal === 0) {
pixel = this.top + this.paddingTop;
} else {
var innerHeight = this.height - (this.paddingTop + this.paddingBottom);
return (this.bottom - this.paddingBottom) - (innerHeight / range * (helpers.log10(newVal) - helpers.log10(this.start)));
}
}
},
});
Chart.scaleService.registerScaleType("logarithmic", LogarithmicScale, defaultConfig);
}).call(this);
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(function() {
"use strict";
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
var defaultConfig = {
display: true,
//Boolean - Whether to animate scaling the chart from the centre
animate: true,
lineArc: false,
position: "chartArea",
angleLines: {
show: true,
color: "rgba(0, 0, 0, 0.1)",
lineWidth: 1
},
// label settings
ticks: {
//Boolean - Show a backdrop to the scale label
showLabelBackdrop: true,
//String - The colour of the label backdrop
backdropColor: "rgba(255,255,255,0.75)",
//Number - The backdrop padding above & below the label in pixels
backdropPaddingY: 2,
//Number - The backdrop padding to the side of the label in pixels
backdropPaddingX: 2,
},
pointLabels: {
//String - Point label font declaration
fontFamily: "'Arial'",
//String - Point label font weight
fontStyle: "normal",
//Number - Point label font size in pixels
fontSize: 10,
//String - Point label font colour
fontColor: "#666",
},
};
var LinearRadialScale = Chart.Scale.extend({
getValueCount: function() {
return this.data.labels.length;
},
setDimensions: function() {
// Set the unconstrained dimension before label rotation
this.width = this.maxWidth;
this.height = this.maxHeight;
this.xCenter = Math.round(this.width / 2);
this.yCenter = Math.round(this.height / 2);
var minSize = helpers.min([this.height, this.width]);
this.drawingArea = (this.options.display) ? (minSize / 2) - (this.options.ticks.fontSize / 2 + this.options.ticks.backdropPaddingY) : (minSize / 2);
},
buildTicks: function() {
this.min = null;
this.max = null;
helpers.each(this.data.datasets, function(dataset) {
if (helpers.isDatasetVisible(dataset)) {
helpers.each(dataset.data, function(rawValue, index) {
var value = this.getRightValue(rawValue);
if (isNaN(value)) {
return;
}
if (this.min === null) {
this.min = value;
} else if (value < this.min) {
this.min = value;
}
if (this.max === null) {
this.max = value;
} else if (value > this.max) {
this.max = value;
}
}, this);
}
}, this);
if (this.min === this.max) {
this.min--;
this.max++;
}
this.ticks = [];
// Figure out what the max number of ticks we can support it is based on the size of
// the axis area. For now, we say that the minimum tick spacing in pixels must be 50
// We also limit the maximum number of ticks to 11 which gives a nice 10 squares on
// the graph
var maxTicks = Math.min(11, Math.ceil(this.drawingArea / (1.5 * this.options.ticks.fontSize)));
maxTicks = Math.max(2, maxTicks); // Make sure we always have at least 2 ticks
// To get a "nice" value for the tick spacing, we will use the appropriately named
// "nice number" algorithm. See http://stackoverflow.com/questions/8506881/nice-label-algorithm-for-charts-with-minimum-ticks
// for details.
// If we are forcing it to begin at 0, but 0 will already be rendered on the chart,
// do nothing since that would make the chart weird. If the user really wants a weird chart
// axis, they can manually override it
if (this.options.ticks.beginAtZero) {
var minSign = helpers.sign(this.min);
var maxSign = helpers.sign(this.max);
if (minSign < 0 && maxSign < 0) {
// move the top up to 0
this.max = 0;
} else if (minSign > 0 && maxSign > 0) {
// move the botttom down to 0
this.min = 0;
}
}
var niceRange = helpers.niceNum(this.max - this.min, false);
var spacing = helpers.niceNum(niceRange / (maxTicks - 1), true);
var niceMin = Math.floor(this.min / spacing) * spacing;
var niceMax = Math.ceil(this.max / spacing) * spacing;
// Put the values into the ticks array
for (var j = niceMin; j <= niceMax; j += spacing) {
this.ticks.push(j);
}
// At this point, we need to update our max and min given the tick values since we have expanded the
// range of the scale
this.max = helpers.max(this.ticks);
this.min = helpers.min(this.ticks);
if (this.options.ticks.reverse) {
this.ticks.reverse();
this.start = this.max;
this.end = this.min;
} else {
this.start = this.min;
this.end = this.max;
}
this.zeroLineIndex = this.ticks.indexOf(0);
},
getCircumference: function() {
return ((Math.PI * 2) / this.getValueCount());
},
fit: function() {
/*
* Right, this is really confusing and there is a lot of maths going on here
* The gist of the problem is here: https://gist.github.com/nnnick/696cc9c55f4b0beb8fe9
*
* Reaction: https://dl.dropboxusercontent.com/u/34601363/toomuchscience.gif
*
* Solution:
*
* We assume the radius of the polygon is half the size of the canvas at first
* at each index we check if the text overlaps.
*
* Where it does, we store that angle and that index.
*
* After finding the largest index and angle we calculate how much we need to remove
* from the shape radius to move the point inwards by that x.
*
* We average the left and right distances to get the maximum shape radius that can fit in the box
* along with labels.
*
* Once we have that, we can find the centre point for the chart, by taking the x text protrusion
* on each side, removing that from the size, halving it and adding the left x protrusion width.
*
* This will mean we have a shape fitted to the canvas, as large as it can be with the labels
* and position it in the most space efficient manner
*
* https://dl.dropboxusercontent.com/u/34601363/yeahscience.gif
*/
// Get maximum radius of the polygon. Either half the height (minus the text width) or half the width.
// Use this to calculate the offset + change. - Make sure L/R protrusion is at least 0 to stop issues with centre points
var largestPossibleRadius = helpers.min([(this.height / 2 - this.options.pointLabels.fontSize - 5), this.width / 2]),
pointPosition,
i,
textWidth,
halfTextWidth,
furthestRight = this.width,
furthestRightIndex,
furthestRightAngle,
furthestLeft = 0,
furthestLeftIndex,
furthestLeftAngle,
xProtrusionLeft,
xProtrusionRight,
radiusReductionRight,
radiusReductionLeft,
maxWidthRadius;
this.ctx.font = helpers.fontString(this.options.pointLabels.fontSize, this.options.pointLabels.fontStyle, this.options.pointLabels.fontFamily);
for (i = 0; i < this.getValueCount(); i++) {
// 5px to space the text slightly out - similar to what we do in the draw function.
pointPosition = this.getPointPosition(i, largestPossibleRadius);
textWidth = this.ctx.measureText(this.options.ticks.callback(this.data.labels[i])).width + 5;
if (i === 0 || i === this.getValueCount() / 2) {
// If we're at index zero, or exactly the middle, we're at exactly the top/bottom
// of the radar chart, so text will be aligned centrally, so we'll half it and compare
// w/left and right text sizes
halfTextWidth = textWidth / 2;
if (pointPosition.x + halfTextWidth > furthestRight) {
furthestRight = pointPosition.x + halfTextWidth;
furthestRightIndex = i;
}
if (pointPosition.x - halfTextWidth < furthestLeft) {
furthestLeft = pointPosition.x - halfTextWidth;
furthestLeftIndex = i;
}
} else if (i < this.getValueCount() / 2) {
// Less than half the values means we'll left align the text
if (pointPosition.x + textWidth > furthestRight) {
furthestRight = pointPosition.x + textWidth;
furthestRightIndex = i;
}
} else if (i > this.getValueCount() / 2) {
// More than half the values means we'll right align the text
if (pointPosition.x - textWidth < furthestLeft) {
furthestLeft = pointPosition.x - textWidth;
furthestLeftIndex = i;
}
}
}
xProtrusionLeft = furthestLeft;
xProtrusionRight = Math.ceil(furthestRight - this.width);
furthestRightAngle = this.getIndexAngle(furthestRightIndex);
furthestLeftAngle = this.getIndexAngle(furthestLeftIndex);
radiusReductionRight = xProtrusionRight / Math.sin(furthestRightAngle + Math.PI / 2);
radiusReductionLeft = xProtrusionLeft / Math.sin(furthestLeftAngle + Math.PI / 2);
// Ensure we actually need to reduce the size of the chart
radiusReductionRight = (helpers.isNumber(radiusReductionRight)) ? radiusReductionRight : 0;
radiusReductionLeft = (helpers.isNumber(radiusReductionLeft)) ? radiusReductionLeft : 0;
this.drawingArea = Math.round(largestPossibleRadius - (radiusReductionLeft + radiusReductionRight) / 2);
this.setCenterPoint(radiusReductionLeft, radiusReductionRight);
},
setCenterPoint: function(leftMovement, rightMovement) {
var maxRight = this.width - rightMovement - this.drawingArea,
maxLeft = leftMovement + this.drawingArea;
this.xCenter = Math.round(((maxLeft + maxRight) / 2) + this.left);
// Always vertically in the centre as the text height doesn't change
this.yCenter = Math.round((this.height / 2) + this.top);
},
getIndexAngle: function(index) {
var angleMultiplier = (Math.PI * 2) / this.getValueCount();
// Start from the top instead of right, so remove a quarter of the circle
return index * angleMultiplier - (Math.PI / 2);
},
getDistanceFromCenterForValue: function(value) {
if (value === null) return 0; // null always in center
// Take into account half font size + the yPadding of the top value
var scalingFactor = this.drawingArea / (this.max - this.min);
if (this.options.reverse) {
return (this.max - value) * scalingFactor;
} else {
return (value - this.min) * scalingFactor;
}
},
getPointPosition: function(index, distanceFromCenter) {
var thisAngle = this.getIndexAngle(index);
return {
x: Math.round(Math.cos(thisAngle) * distanceFromCenter) + this.xCenter,
y: Math.round(Math.sin(thisAngle) * distanceFromCenter) + this.yCenter
};
},
getPointPositionForValue: function(index, value) {
return this.getPointPosition(index, this.getDistanceFromCenterForValue(value));
},
draw: function() {
if (this.options.display) {
var ctx = this.ctx;
helpers.each(this.ticks, function(label, index) {
// Don't draw a centre value (if it is minimum)
if (index > 0 || this.options.reverse) {
var yCenterOffset = this.getDistanceFromCenterForValue(this.ticks[index]);
var yHeight = this.yCenter - yCenterOffset;
// Draw circular lines around the scale
if (this.options.gridLines.show) {
ctx.strokeStyle = this.options.gridLines.color;
ctx.lineWidth = this.options.gridLines.lineWidth;
if (this.options.lineArc) {
// Draw circular arcs between the points
ctx.beginPath();
ctx.arc(this.xCenter, this.yCenter, yCenterOffset, 0, Math.PI * 2);
ctx.closePath();
ctx.stroke();
} else {
// Draw straight lines connecting each index
ctx.beginPath();
for (var i = 0; i < this.getValueCount(); i++) {
var pointPosition = this.getPointPosition(i, this.getDistanceFromCenterForValue(this.ticks[index]));
if (i === 0) {
ctx.moveTo(pointPosition.x, pointPosition.y);
} else {
ctx.lineTo(pointPosition.x, pointPosition.y);
}
}
ctx.closePath();
ctx.stroke();
}
}
if (this.options.ticks.show) {
ctx.font = helpers.fontString(this.options.ticks.fontSize, this.options.ticks.fontStyle, this.options.ticks.fontFamily);
if (this.options.ticks.showLabelBackdrop) {
var labelWidth = ctx.measureText(label).width;
ctx.fillStyle = this.options.ticks.backdropColor;
ctx.fillRect(
this.xCenter - labelWidth / 2 - this.options.ticks.backdropPaddingX,
yHeight - this.options.ticks.fontSize / 2 - this.options.ticks.backdropPaddingY,
labelWidth + this.options.ticks.backdropPaddingX * 2,
this.options.ticks.fontSize + this.options.ticks.backdropPaddingY * 2
);
}
ctx.textAlign = 'center';
ctx.textBaseline = "middle";
ctx.fillStyle = this.options.ticks.fontColor;
ctx.fillText(label, this.xCenter, yHeight);
}
}
}, this);
if (!this.options.lineArc) {
ctx.lineWidth = this.options.angleLines.lineWidth;
ctx.strokeStyle = this.options.angleLines.color;
for (var i = this.getValueCount() - 1; i >= 0; i--) {
if (this.options.angleLines.show) {
var outerPosition = this.getPointPosition(i, this.getDistanceFromCenterForValue(this.options.reverse ? this.min : this.max));
ctx.beginPath();
ctx.moveTo(this.xCenter, this.yCenter);
ctx.lineTo(outerPosition.x, outerPosition.y);
ctx.stroke();
ctx.closePath();
}
// Extra 3px out for some label spacing
var pointLabelPosition = this.getPointPosition(i, this.getDistanceFromCenterForValue(this.options.reverse ? this.min : this.max) + 5);
ctx.font = helpers.fontString(this.options.pointLabels.fontSize, this.options.pointLabels.fontStyle, this.options.pointLabels.fontFamily);
ctx.fillStyle = this.options.pointLabels.fontColor;
var labelsCount = this.data.labels.length,
halfLabelsCount = this.data.labels.length / 2,
quarterLabelsCount = halfLabelsCount / 2,
upperHalf = (i < quarterLabelsCount || i > labelsCount - quarterLabelsCount),
exactQuarter = (i === quarterLabelsCount || i === labelsCount - quarterLabelsCount);
if (i === 0) {
ctx.textAlign = 'center';
} else if (i === halfLabelsCount) {
ctx.textAlign = 'center';
} else if (i < halfLabelsCount) {
ctx.textAlign = 'left';
} else {
ctx.textAlign = 'right';
}
// Set the correct text baseline based on outer positioning
if (exactQuarter) {
ctx.textBaseline = 'middle';
} else if (upperHalf) {
ctx.textBaseline = 'bottom';
} else {
ctx.textBaseline = 'top';
}
ctx.fillText(this.data.labels[i], pointLabelPosition.x, pointLabelPosition.y);
}
}
}
}
});
Chart.scaleService.registerScaleType("radialLinear", LinearRadialScale, defaultConfig);
}).call(this);
-254
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@@ -1,254 +0,0 @@
(function() {
"use strict";
if (!window.moment) {
console.warn('Chart.js - Moment.js could not be found! You must include it before Chart.js to use the time scale. Download at http://momentjs.com/');
return;
}
var root = this,
Chart = root.Chart,
helpers = Chart.helpers;
var time = {
units: [
'millisecond',
'second',
'minute',
'hour',
'day',
'week',
'month',
'quarter',
'year',
],
unit: {
'millisecond': {
display: 'SSS [ms]', // 002 ms
maxStep: 1000,
},
'second': {
display: 'h:mm:ss a', // 11:20:01 AM
maxStep: 60,
},
'minute': {
display: 'h:mm:ss a', // 11:20:01 AM
maxStep: 60,
},
'hour': {
display: 'MMM D, hA', // Sept 4, 5PM
maxStep: 24,
},
'day': {
display: 'll', // Sep 4 2015
maxStep: 7,
},
'week': {
display: 'll', // Week 46, or maybe "[W]WW - YYYY" ?
maxStep: 4.3333,
},
'month': {
display: 'MMM YYYY', // Sept 2015
maxStep: 12,
},
'quarter': {
display: '[Q]Q - YYYY', // Q3
maxStep: 4,
},
'year': {
display: 'YYYY', // 2015
maxStep: false,
},
}
};
var defaultConfig = {
position: "bottom",
time: {
format: false, // false == date objects or use pattern string from http://momentjs.com/docs/#/parsing/string-format/
unit: false, // false == automatic or override with week, month, year, etc.
round: false, // none, or override with week, month, year, etc.
displayFormat: false, // defaults to unit's corresponding unitFormat below or override using pattern string from http://momentjs.com/docs/#/displaying/format/
},
};
var TimeScale = Chart.Scale.extend({
getLabelMoment: function(datasetIndex, index) {
return this.labelMoments[datasetIndex][index];
},
buildLabelMoments: function() {
// Only parse these once. If the dataset does not have data as x,y pairs, we will use
// these
var scaleLabelMoments = [];
if (this.data.labels && this.data.labels.length > 0) {
helpers.each(this.data.labels, function(label, index) {
var labelMoment = this.parseTime(label);
if (this.options.time.round) {
labelMoment.startOf(this.options.time.round);
}
scaleLabelMoments.push(labelMoment);
}, this);
if (this.options.time.min) {
this.firstTick = this.parseTime(this.options.time.min);
} else {
this.firstTick = moment.min.call(this, scaleLabelMoments);
}
if (this.options.time.max) {
this.lastTick = this.parseTime(this.options.time.max);
} else {
this.lastTick = moment.max.call(this, scaleLabelMoments);
}
} else {
this.firstTick = null;
this.lastTick = null;
}
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
var momentsForDataset = [];
if (typeof dataset.data[0] === 'object') {
helpers.each(dataset.data, function(value, index) {
var labelMoment = this.parseTime(this.getRightValue(value));
if (this.options.time.round) {
labelMoment.startOf(this.options.time.round);
}
momentsForDataset.push(labelMoment);
// May have gone outside the scale ranges, make sure we keep the first and last ticks updated
this.firstTick = this.firstTick !== null ? moment.min(this.firstTick, labelMoment) : labelMoment;
this.lastTick = this.lastTick !== null ? moment.max(this.lastTick, labelMoment) : labelMoment;
}, this);
} else {
// We have no labels. Use the ones from the scale
momentsForDataset = scaleLabelMoments;
}
this.labelMoments.push(momentsForDataset);
}, this);
// We will modify these, so clone for later
this.firstTick = this.firstTick.clone();
this.lastTick = this.lastTick.clone();
},
buildTicks: function(index) {
this.ticks = [];
this.labelMoments = [];
this.buildLabelMoments();
// Set unit override if applicable
if (this.options.time.unit) {
this.tickUnit = this.options.time.unit || 'day';
this.displayFormat = time.unit[this.tickUnit].display;
this.tickRange = Math.ceil(this.lastTick.diff(this.firstTick, this.tickUnit, true));
} else {
// Determine the smallest needed unit of the time
var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
var labelCapacity = innerWidth / this.options.ticks.fontSize + 4;
var buffer = this.options.time.round ? 0 : 2;
// Start as small as possible
this.tickUnit = 'millisecond';
this.tickRange = Math.ceil(this.lastTick.diff(this.firstTick, this.tickUnit, true) + buffer);
this.displayFormat = time.unit[this.tickUnit].display;
// Work our way up to comfort
helpers.each(time.units, function(format) {
if (this.tickRange <= labelCapacity) {
return;
}
this.tickUnit = format;
this.tickRange = Math.ceil(this.lastTick.diff(this.firstTick, this.tickUnit) + buffer);
this.displayFormat = time.unit[format].display;
}, this);
}
this.firstTick.startOf(this.tickUnit);
this.lastTick.endOf(this.tickUnit);
this.smallestLabelSeparation = this.width;
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
for (var i = 1; i < this.labelMoments[datasetIndex].length; i++) {
this.smallestLabelSeparation = Math.min(this.smallestLabelSeparation, this.labelMoments[datasetIndex][i].diff(this.labelMoments[datasetIndex][i - 1], this.tickUnit, true));
}
}, this);
// Tick displayFormat override
if (this.options.time.displayFormat) {
this.displayFormat = this.options.time.displayFormat;
}
// For every unit in between the first and last moment, create a moment and add it to the ticks tick
for (var i = 0; i <= this.tickRange; ++i) {
this.ticks.push(this.firstTick.clone().add(i, this.tickUnit));
}
},
// Get tooltip label
getLabelForIndex: function(index, datasetIndex) {
var label = this.data.labels && index < this.data.labels.length ? this.data.labels[index] : '';
if (typeof this.data.datasets[datasetIndex].data[0] === 'object') {
label = this.getRightValue(this.data.datasets[datasetIndex].data[index]);
}
return label;
},
convertTicksToLabels: function() {
this.ticks = this.ticks.map(function(tick, index, ticks) {
var formattedTick = tick.format(this.options.time.displayFormat ? this.options.time.displayFormat : time.unit[this.tickUnit].display);
if (this.options.ticks.userCallback) {
return this.options.ticks.userCallback(formattedTick, index, ticks);
} else {
return formattedTick;
}
}, this);
},
getPixelForValue: function(value, index, datasetIndex, includeOffset) {
var labelMoment = this.getLabelMoment(datasetIndex, index);
var offset = labelMoment.diff(this.firstTick, this.tickUnit, true);
var decimal = offset / this.tickRange;
if (this.isHorizontal()) {
var innerWidth = this.width - (this.paddingLeft + this.paddingRight);
var valueWidth = innerWidth / Math.max(this.ticks.length - 1, 1);
var valueOffset = (innerWidth * decimal) + this.paddingLeft;
return this.left + Math.round(valueOffset);
} else {
//return this.top + (decimal * (this.height / this.ticks.length));
var innerHeight = this.height - (this.paddingTop + this.paddingBottom);
var valueHeight = innerHeight / Math.max(this.ticks.length - 1, 1);
var heightOffset = (innerHeight * decimal) + this.paddingTop;
return this.top + Math.round(heightOffset);
}
},
parseTime: function(label) {
// Date objects
if (typeof label.getMonth === 'function' || typeof label == 'number') {
return moment(label);
}
// Moment support
if (label.isValid && label.isValid()) {
return label;
}
// Custom parsing (return an instance of moment)
if (typeof this.options.time.format !== 'string' && this.options.time.format.call) {
return this.options.time.format(label);
}
// Moment format parsing
return moment(label, this.options.time.format);
},
});
Chart.scaleService.registerScaleType("time", TimeScale, defaultConfig);
}).call(this);
-619
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@@ -1,619 +0,0 @@
// Test the bar controller
describe('Bar controller tests', function() {
it('Should be constructed', function() {
var chart = {
data: {
datasets: [{
}, {
xAxisID: 'myXAxis',
yAxisID: 'myYAxis',
data: []
}]
}
};
var controller = new Chart.controllers.bar(chart, 1);
expect(controller).not.toBe(undefined);
expect(controller.index).toBe(1);
expect(chart.data.datasets[1].metaData).toEqual([]);
controller.updateIndex(0);
expect(controller.index).toBe(0);
});
it('Should use the first scale IDs if the dataset does not specify them', function() {
var chart = {
data: {
datasets: [{
}, {
data: []
}]
},
options: {
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
}
};
var controller = new Chart.controllers.bar(chart, 1);
expect(chart.data.datasets[1].xAxisID).toBe('firstXScaleID');
expect(chart.data.datasets[1].yAxisID).toBe('firstYScaleID');
});
it('should correctly count the number of bar datasets', function() {
var chart = {
data: {
datasets: [{
type: 'line'
}, {
type: 'bar'
}, {
// no type, defaults to bar
}]
},
config: {
type: 'bar'
},
options: {
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
}
};
var controller = new Chart.controllers.bar(chart, 1);
expect(controller.getBarCount()).toBe(2);
});
it('should correctly get the bar index accounting for hidden datasets', function() {
var chart = {
data: {
datasets: [{
}, {
hidden: true
}, {
type: 'line'
}, {
}]
},
config: {
type: 'bar'
},
options: {
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
}
};
var controller = new Chart.controllers.bar(chart, 1);
expect(controller.getBarIndex(0)).toBe(0);
expect(controller.getBarIndex(3)).toBe(1);
});
it('Should create rectangle elements for each data item during initialization', function() {
var chart = {
data: {
datasets: [{}, {
data: [10, 15, 0, -4]
}]
},
config: {
type: 'bar'
},
options: {
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
}
};
var controller = new Chart.controllers.bar(chart, 1);
expect(chart.data.datasets[1].metaData.length).toBe(4); // 4 rectangles created
expect(chart.data.datasets[1].metaData[0] instanceof Chart.elements.Rectangle).toBe(true);
expect(chart.data.datasets[1].metaData[1] instanceof Chart.elements.Rectangle).toBe(true);
expect(chart.data.datasets[1].metaData[2] instanceof Chart.elements.Rectangle).toBe(true);
expect(chart.data.datasets[1].metaData[3] instanceof Chart.elements.Rectangle).toBe(true);
});
it('should remove elements', function() {
var chart = {
data: {
datasets: [{}, {
data: [10, 15, 0, -4]
}]
},
config: {
type: 'bar'
},
options: {
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
}
};
var controller = new Chart.controllers.bar(chart, 1);
controller.removeElement(1);
expect(chart.data.datasets[1].metaData.length).toBe(3);
});
it('should update elements', function() {
var data = {
datasets: [{
data: [1, 2],
label: 'dataset1',
xAxisID: 'firstXScaleID',
yAxisID: 'firstYScaleID'
}, {
data: [10, 15, 0, -4],
label: 'dataset2'
}],
labels: ['label1', 'label2', 'label3', 'label4']
};
var mockContext = window.createMockContext();
var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.bar.scales.yAxes[0]);
var yScale = new VerticalScaleConstructor({
ctx: mockContext,
options: verticalScaleConfig,
data: data,
id: 'firstYScaleID'
});
// Update ticks & set physical dimensions
var verticalSize = yScale.update(50, 200);
yScale.top = 0;
yScale.left = 0;
yScale.right = verticalSize.width;
yScale.bottom = verticalSize.height;
var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.bar.scales.xAxes[0]);
var xScale = new HorizontalScaleConstructor({
ctx: mockContext,
options: horizontalScaleConfig,
data: data,
id: 'firstXScaleID'
});
// Update ticks & set physical dimensions
var horizontalSize = xScale.update(200, 50);
xScale.left = yScale.right;
xScale.top = yScale.bottom;
xScale.right = horizontalSize.width + xScale.left;
xScale.bottom = horizontalSize.height + xScale.top;
var chart = {
data: data,
config: {
type: 'bar'
},
options: {
elements: {
rectangle: {
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
}
},
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
},
scales: {
firstXScaleID: xScale,
firstYScaleID: yScale,
}
};
var controller = new Chart.controllers.bar(chart, 1);
chart.data.datasets[1].data = [1, 2]; // remove 2 items
controller.buildOrUpdateElements();
controller.update();
expect(chart.data.datasets[1].metaData.length).toBe(2);
var bar1 = chart.data.datasets[1].metaData[0];
var bar2 = chart.data.datasets[1].metaData[1];
expect(bar1._datasetIndex).toBe(1);
expect(bar1._index).toBe(0);
expect(bar1._xScale).toBe(chart.scales.firstXScaleID);
expect(bar1._yScale).toBe(chart.scales.firstYScaleID);
expect(bar1._model).toEqual({
x: 103.60000000000001,
y: 194,
label: 'label1',
datasetLabel: 'dataset2',
base: 194,
width: 13.680000000000001,
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
});
expect(bar2._datasetIndex).toBe(1);
expect(bar2._index).toBe(1);
expect(bar2._xScale).toBe(chart.scales.firstXScaleID);
expect(bar2._yScale).toBe(chart.scales.firstYScaleID);
expect(bar2._model).toEqual({
x: 141.6,
y: 6,
label: 'label2',
datasetLabel: 'dataset2',
base: 194,
width: 13.680000000000001,
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
});
chart.data.datasets[1].data = [1, 2, 3];
controller.buildOrUpdateElements();
controller.update();
expect(chart.data.datasets[1].metaData.length).toBe(3); // should add a new meta data item
});
it ('should draw all bars', function() {
var data = {
datasets: [{}, {
data: [10, 15, 0, -4],
label: 'dataset2',
xAxisID: 'firstXScaleID',
yAxisID: 'firstYScaleID'
}],
labels: ['label1', 'label2', 'label3', 'label4']
};
var mockContext = window.createMockContext();
var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.bar.scales.yAxes[0]);
var yScale = new VerticalScaleConstructor({
ctx: mockContext,
options: verticalScaleConfig,
data: data,
id: 'firstYScaleID'
});
// Update ticks & set physical dimensions
var verticalSize = yScale.update(50, 200);
yScale.top = 0;
yScale.left = 0;
yScale.right = verticalSize.width;
yScale.bottom = verticalSize.height;
var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.bar.scales.xAxes[0]);
var xScale = new HorizontalScaleConstructor({
ctx: mockContext,
options: horizontalScaleConfig,
data: data,
id: 'firstXScaleID'
});
// Update ticks & set physical dimensions
var horizontalSize = xScale.update(200, 50);
xScale.left = yScale.right;
xScale.top = yScale.bottom;
xScale.right = horizontalSize.width + xScale.left;
xScale.bottom = horizontalSize.height + xScale.top;
var chart = {
data: data,
config: {
type: 'bar'
},
options: {
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
},
scales: {
firstXScaleID: xScale,
firstYScaleID: yScale,
}
};
var controller = new Chart.controllers.bar(chart, 1);
spyOn(chart.data.datasets[1].metaData[0], 'draw');
spyOn(chart.data.datasets[1].metaData[1], 'draw');
spyOn(chart.data.datasets[1].metaData[2], 'draw');
spyOn(chart.data.datasets[1].metaData[3], 'draw');
controller.draw();
expect(chart.data.datasets[1].metaData[0].draw.calls.count()).toBe(1);
expect(chart.data.datasets[1].metaData[1].draw.calls.count()).toBe(1);
expect(chart.data.datasets[1].metaData[2].draw.calls.count()).toBe(1);
expect(chart.data.datasets[1].metaData[3].draw.calls.count()).toBe(1);
});
it ('should set hover styles on rectangles', function() {
var data = {
datasets: [{}, {
data: [10, 15, 0, -4],
label: 'dataset2',
xAxisID: 'firstXScaleID',
yAxisID: 'firstYScaleID'
}],
labels: ['label1', 'label2', 'label3', 'label4']
};
var mockContext = window.createMockContext();
var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.bar.scales.yAxes[0]);
var yScale = new VerticalScaleConstructor({
ctx: mockContext,
options: verticalScaleConfig,
data: data,
id: 'firstYScaleID'
});
// Update ticks & set physical dimensions
var verticalSize = yScale.update(50, 200);
yScale.top = 0;
yScale.left = 0;
yScale.right = verticalSize.width;
yScale.bottom = verticalSize.height;
var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.bar.scales.xAxes[0]);
var xScale = new HorizontalScaleConstructor({
ctx: mockContext,
options: horizontalScaleConfig,
data: data,
id: 'firstXScaleID'
});
// Update ticks & set physical dimensions
var horizontalSize = xScale.update(200, 50);
xScale.left = yScale.right;
xScale.top = yScale.bottom;
xScale.right = horizontalSize.width + xScale.left;
xScale.bottom = horizontalSize.height + xScale.top;
var chart = {
data: data,
config: {
type: 'bar'
},
options: {
elements: {
rectangle: {
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
}
},
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
},
scales: {
firstXScaleID: xScale,
firstYScaleID: yScale,
}
};
var controller = new Chart.controllers.bar(chart, 1);
controller.update();
var bar = chart.data.datasets[1].metaData[0];
controller.setHoverStyle(bar);
expect(bar._model.backgroundColor).toBe('rgb(230, 0, 0)');
expect(bar._model.borderColor).toBe('rgb(0, 0, 230)');
expect(bar._model.borderWidth).toBe(2);
// Set a dataset style
chart.data.datasets[1].hoverBackgroundColor = 'rgb(128, 128, 128)';
chart.data.datasets[1].hoverBorderColor = 'rgb(0, 0, 0)';
chart.data.datasets[1].hoverBorderWidth = 5;
controller.setHoverStyle(bar);
expect(bar._model.backgroundColor).toBe('rgb(128, 128, 128)');
expect(bar._model.borderColor).toBe('rgb(0, 0, 0)');
expect(bar._model.borderWidth).toBe(5);
// Should work with array styles so that we can set per bar
chart.data.datasets[1].hoverBackgroundColor = ['rgb(255, 255, 255)', 'rgb(128, 128, 128)'];
chart.data.datasets[1].hoverBorderColor = ['rgb(9, 9, 9)', 'rgb(0, 0, 0)'];
chart.data.datasets[1].hoverBorderWidth = [2.5, 5];
controller.setHoverStyle(bar);
expect(bar._model.backgroundColor).toBe('rgb(255, 255, 255)');
expect(bar._model.borderColor).toBe('rgb(9, 9, 9)');
expect(bar._model.borderWidth).toBe(2.5);
// Should allow a custom style
bar.custom = {
hoverBackgroundColor: 'rgb(255, 0, 0)',
hoverBorderColor: 'rgb(0, 255, 0)',
hoverBorderWidth: 1.5
};
controller.setHoverStyle(bar);
expect(bar._model.backgroundColor).toBe('rgb(255, 0, 0)');
expect(bar._model.borderColor).toBe('rgb(0, 255, 0)');
expect(bar._model.borderWidth).toBe(1.5);
});
it ('should remove a hover style from a bar', function() {
var data = {
datasets: [{}, {
data: [10, 15, 0, -4],
label: 'dataset2',
xAxisID: 'firstXScaleID',
yAxisID: 'firstYScaleID'
}],
labels: ['label1', 'label2', 'label3', 'label4']
};
var mockContext = window.createMockContext();
var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.bar.scales.yAxes[0]);
var yScale = new VerticalScaleConstructor({
ctx: mockContext,
options: verticalScaleConfig,
data: data,
id: 'firstYScaleID'
});
// Update ticks & set physical dimensions
var verticalSize = yScale.update(50, 200);
yScale.top = 0;
yScale.left = 0;
yScale.right = verticalSize.width;
yScale.bottom = verticalSize.height;
var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.bar.scales.xAxes[0]);
var xScale = new HorizontalScaleConstructor({
ctx: mockContext,
options: horizontalScaleConfig,
data: data,
id: 'firstXScaleID'
});
// Update ticks & set physical dimensions
var horizontalSize = xScale.update(200, 50);
xScale.left = yScale.right;
xScale.top = yScale.bottom;
xScale.right = horizontalSize.width + xScale.left;
xScale.bottom = horizontalSize.height + xScale.top;
var chart = {
data: data,
config: {
type: 'bar'
},
options: {
elements: {
rectangle: {
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
}
},
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
},
scales: {
firstXScaleID: xScale,
firstYScaleID: yScale,
}
};
var controller = new Chart.controllers.bar(chart, 1);
controller.update();
var bar = chart.data.datasets[1].metaData[0];
// Change default
chart.options.elements.rectangle.backgroundColor = 'rgb(128, 128, 128)';
chart.options.elements.rectangle.borderColor = 'rgb(15, 15, 15)';
chart.options.elements.rectangle.borderWidth = 3.14;
// Remove to defaults
controller.removeHoverStyle(bar);
expect(bar._model.backgroundColor).toBe('rgb(128, 128, 128)');
expect(bar._model.borderColor).toBe('rgb(15, 15, 15)');
expect(bar._model.borderWidth).toBe(3.14);
// Should work with array styles so that we can set per bar
chart.data.datasets[1].backgroundColor = ['rgb(255, 255, 255)', 'rgb(128, 128, 128)'];
chart.data.datasets[1].borderColor = ['rgb(9, 9, 9)', 'rgb(0, 0, 0)'];
chart.data.datasets[1].borderWidth = [2.5, 5];
controller.removeHoverStyle(bar);
expect(bar._model.backgroundColor).toBe('rgb(255, 255, 255)');
expect(bar._model.borderColor).toBe('rgb(9, 9, 9)');
expect(bar._model.borderWidth).toBe(2.5);
// Should allow a custom style
bar.custom = {
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 255, 0)',
borderWidth: 1.5
};
controller.removeHoverStyle(bar);
expect(bar._model.backgroundColor).toBe('rgb(255, 0, 0)');
expect(bar._model.borderColor).toBe('rgb(0, 255, 0)');
expect(bar._model.borderWidth).toBe(1.5);
});
});
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// Test the bar controller
describe('Doughnut controller tests', function() {
it('Should be constructed', function() {
var chart = {
data: {
datasets: [{
data: []
}]
}
};
var controller = new Chart.controllers.doughnut(chart, 0);
expect(controller).not.toBe(undefined);
expect(controller.index).toBe(0);
expect(chart.data.datasets[0].metaData).toEqual([]);
controller.updateIndex(1);
expect(controller.index).toBe(1);
});
it('Should create arc elements for each data item during initialization', function() {
var chart = {
data: {
datasets: [{
data: [10, 15, 0, 4]
}]
},
config: {
type: 'doughnut'
},
options: {
}
};
var controller = new Chart.controllers.doughnut(chart, 0);
expect(chart.data.datasets[0].metaData.length).toBe(4); // 4 rectangles created
expect(chart.data.datasets[0].metaData[0] instanceof Chart.elements.Arc).toBe(true);
expect(chart.data.datasets[0].metaData[1] instanceof Chart.elements.Arc).toBe(true);
expect(chart.data.datasets[0].metaData[2] instanceof Chart.elements.Arc).toBe(true);
expect(chart.data.datasets[0].metaData[3] instanceof Chart.elements.Arc).toBe(true);
});
it ('Should remove elements', function() {
var chart = {
data: {
datasets: [{
data: [10, 15, 0, 4]
}]
},
config: {
type: 'doughnut'
},
options: {
}
};
var controller = new Chart.controllers.doughnut(chart, 0);
controller.removeElement(1);
expect(chart.data.datasets[0].metaData.length).toBe(3);
});
it ('Should reset and update elements', function() {
var chart = {
chart: {
width: 100,
height: 200,
},
data: {
datasets: [{
hidden: true
}, {
data: [10, 15, 0, 4]
}, {
data: [1]
}],
labels: ['label0', 'label1', 'label2', 'label3']
},
config: {
type: 'doughnut'
},
options: {
animation: {
animateRotate: false,
animateScale: false
},
cutoutPercentage: 50,
elements: {
arc: {
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
hoverBackgroundColor: 'rgb(255, 255, 255)'
}
}
}
};
var controller = new Chart.controllers.doughnut(chart, 1);
controller.reset(); // reset first
expect(chart.data.datasets[1].metaData[0]._model).toEqual({
x: 50,
y: 100,
startAngle: Math.PI * -0.5,
circumference: 2.166614539857563,
outerRadius: 49,
innerRadius: 36.75,
});
expect(chart.data.datasets[1].metaData[1]._model).toEqual({
x: 50,
y: 100,
startAngle: Math.PI * -0.5,
circumference: 3.2499218097863447,
outerRadius: 49,
innerRadius: 36.75,
});
expect(chart.data.datasets[1].metaData[2]._model).toEqual({
x: 50,
y: 100,
startAngle: Math.PI * -0.5,
circumference: 0,
outerRadius: 49,
innerRadius: 36.75,
});
expect(chart.data.datasets[1].metaData[3]._model).toEqual({
x: 50,
y: 100,
startAngle: Math.PI * -0.5,
circumference: 0.8666458159430251,
outerRadius: 49,
innerRadius: 36.75,
});
controller.update();
expect(chart.data.datasets[1].metaData[0]._model).toEqual({
x: 50,
y: 100,
startAngle: Math.PI * -0.5,
endAngle: 0.5958182130626666,
circumference: 2.166614539857563,
outerRadius: 49,
innerRadius: 36.75,
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
hoverBackgroundColor: 'rgb(255, 255, 255)',
label: 'label0',
});
expect(chart.data.datasets[1].metaData[1]._model).toEqual({
x: 50,
y: 100,
startAngle: 0.5958182130626666,
endAngle: 3.8457400228490113,
circumference: 3.2499218097863447,
outerRadius: 49,
innerRadius: 36.75,
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
hoverBackgroundColor: 'rgb(255, 255, 255)',
label: 'label1'
});
expect(chart.data.datasets[1].metaData[2]._model).toEqual({
x: 50,
y: 100,
startAngle: 3.8457400228490113,
endAngle: 3.8457400228490113,
circumference: 0,
outerRadius: 49,
innerRadius: 36.75,
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
hoverBackgroundColor: 'rgb(255, 255, 255)',
label: 'label2'
});
expect(chart.data.datasets[1].metaData[3]._model).toEqual({
x: 50,
y: 100,
startAngle: 3.8457400228490113,
endAngle: 4.712385838792036,
circumference: 0.8666458159430251,
outerRadius: 49,
innerRadius: 36.75,
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
hoverBackgroundColor: 'rgb(255, 255, 255)',
label: 'label3'
});
// Change the amount of data and ensure that arcs are updated accordingly
chart.data.datasets[1].data = [1, 2]; // remove 2 elements from dataset 0
controller.buildOrUpdateElements();
controller.update();
expect(chart.data.datasets[1].metaData.length).toBe(2);
expect(chart.data.datasets[1].metaData[0] instanceof Chart.elements.Arc).toBe(true);
expect(chart.data.datasets[1].metaData[1] instanceof Chart.elements.Arc).toBe(true);
// Add data
chart.data.datasets[1].data = [1, 2, 3, 4];
controller.buildOrUpdateElements();
controller.update();
expect(chart.data.datasets[1].metaData.length).toBe(4);
expect(chart.data.datasets[1].metaData[0] instanceof Chart.elements.Arc).toBe(true);
expect(chart.data.datasets[1].metaData[1] instanceof Chart.elements.Arc).toBe(true);
expect(chart.data.datasets[1].metaData[2] instanceof Chart.elements.Arc).toBe(true);
expect(chart.data.datasets[1].metaData[3] instanceof Chart.elements.Arc).toBe(true);
});
it ('should draw all arcs', function() {
var chart = {
chart: {
width: 100,
height: 200,
},
data: {
datasets: [{
data: [10, 15, 0, 4]
}],
labels: ['label0', 'label1', 'label2', 'label3']
},
config: {
type: 'doughnut'
},
options: {
animation: {
animateRotate: false,
animateScale: false
},
cutoutPercentage: 50,
elements: {
arc: {
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
hoverBackgroundColor: 'rgb(255, 255, 255)'
}
}
}
};
var controller = new Chart.controllers.doughnut(chart, 0);
spyOn(chart.data.datasets[0].metaData[0], 'draw');
spyOn(chart.data.datasets[0].metaData[1], 'draw');
spyOn(chart.data.datasets[0].metaData[2], 'draw');
spyOn(chart.data.datasets[0].metaData[3], 'draw');
controller.draw();
expect(chart.data.datasets[0].metaData[0].draw.calls.count()).toBe(1);
expect(chart.data.datasets[0].metaData[1].draw.calls.count()).toBe(1);
expect(chart.data.datasets[0].metaData[2].draw.calls.count()).toBe(1);
expect(chart.data.datasets[0].metaData[3].draw.calls.count()).toBe(1);
});
it ('should set the hover style of an arc', function() {
var chart = {
chart: {
width: 100,
height: 200,
},
data: {
datasets: [{
data: [10, 15, 0, 4]
}],
labels: ['label0', 'label1', 'label2', 'label3']
},
config: {
type: 'doughnut'
},
options: {
animation: {
animateRotate: false,
animateScale: false
},
cutoutPercentage: 50,
elements: {
arc: {
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
}
}
}
};
var controller = new Chart.controllers.doughnut(chart, 0);
controller.reset(); // reset first
controller.update();
var arc = chart.data.datasets[0].metaData[0];
controller.setHoverStyle(arc);
expect(arc._model.backgroundColor).toBe('rgb(230, 0, 0)');
expect(arc._model.borderColor).toBe('rgb(0, 0, 230)');
expect(arc._model.borderWidth).toBe(2);
// Set a dataset style to take precedence
chart.data.datasets[0].hoverBackgroundColor = 'rgb(9, 9, 9)';
chart.data.datasets[0].hoverBorderColor = 'rgb(18, 18, 18)';
chart.data.datasets[0].hoverBorderWidth = 1.56;
controller.setHoverStyle(arc);
expect(arc._model.backgroundColor).toBe('rgb(9, 9, 9)');
expect(arc._model.borderColor).toBe('rgb(18, 18, 18)');
expect(arc._model.borderWidth).toBe(1.56);
// Dataset styles can be an array
chart.data.datasets[0].hoverBackgroundColor = ['rgb(255, 255, 255)', 'rgb(9, 9, 9)'];
chart.data.datasets[0].hoverBorderColor = ['rgb(18, 18, 18)'];
chart.data.datasets[0].hoverBorderWidth = [0.1, 1.56];
controller.setHoverStyle(arc);
expect(arc._model.backgroundColor).toBe('rgb(255, 255, 255)');
expect(arc._model.borderColor).toBe('rgb(18, 18, 18)');
expect(arc._model.borderWidth).toBe(0.1);
// Element custom styles also work
arc.custom = {
hoverBackgroundColor: 'rgb(7, 7, 7)',
hoverBorderColor: 'rgb(17, 17, 17)',
hoverBorderWidth: 3.14159,
};
controller.setHoverStyle(arc);
expect(arc._model.backgroundColor).toBe('rgb(7, 7, 7)');
expect(arc._model.borderColor).toBe('rgb(17, 17, 17)');
expect(arc._model.borderWidth).toBe(3.14159);
});
it ('should unset the hover style of an arc', function() {
var chart = {
chart: {
width: 100,
height: 200,
},
data: {
datasets: [{
data: [10, 15, 0, 4]
}],
labels: ['label0', 'label1', 'label2', 'label3']
},
config: {
type: 'doughnut'
},
options: {
animation: {
animateRotate: false,
animateScale: false
},
cutoutPercentage: 50,
elements: {
arc: {
backgroundColor: 'rgb(255, 0, 0)',
borderColor: 'rgb(0, 0, 255)',
borderWidth: 2,
}
}
}
};
var controller = new Chart.controllers.doughnut(chart, 0);
controller.reset(); // reset first
controller.update();
var arc = chart.data.datasets[0].metaData[0];
controller.removeHoverStyle(arc);
expect(arc._model.backgroundColor).toBe('rgb(255, 0, 0)');
expect(arc._model.borderColor).toBe('rgb(0, 0, 255)');
expect(arc._model.borderWidth).toBe(2);
// Set a dataset style to take precedence
chart.data.datasets[0].backgroundColor = 'rgb(9, 9, 9)';
chart.data.datasets[0].borderColor = 'rgb(18, 18, 18)';
chart.data.datasets[0].borderWidth = 1.56;
controller.removeHoverStyle(arc);
expect(arc._model.backgroundColor).toBe('rgb(9, 9, 9)');
expect(arc._model.borderColor).toBe('rgb(18, 18, 18)');
expect(arc._model.borderWidth).toBe(1.56);
// Dataset styles can be an array
chart.data.datasets[0].backgroundColor = ['rgb(255, 255, 255)', 'rgb(9, 9, 9)'];
chart.data.datasets[0].borderColor = ['rgb(18, 18, 18)'];
chart.data.datasets[0].borderWidth = [0.1, 1.56];
controller.removeHoverStyle(arc);
expect(arc._model.backgroundColor).toBe('rgb(255, 255, 255)');
expect(arc._model.borderColor).toBe('rgb(18, 18, 18)');
expect(arc._model.borderWidth).toBe(0.1);
// Element custom styles also work
arc.custom = {
backgroundColor: 'rgb(7, 7, 7)',
borderColor: 'rgb(17, 17, 17)',
borderWidth: 3.14159,
};
controller.removeHoverStyle(arc);
expect(arc._model.backgroundColor).toBe('rgb(7, 7, 7)');
expect(arc._model.borderColor).toBe('rgb(17, 17, 17)');
expect(arc._model.borderWidth).toBe(3.14159);
});
});
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@@ -1,905 +0,0 @@
// Test the line controller
describe('Line controller tests', function() {
it('Should be constructed', function() {
var chart = {
data: {
datasets: [{
xAxisID: 'myXAxis',
yAxisID: 'myYAxis',
data: []
}]
}
};
var controller = new Chart.controllers.line(chart, 0);
expect(controller).not.toBe(undefined);
expect(controller.index).toBe(0);
expect(chart.data.datasets[0].metaData).toEqual([]);
controller.updateIndex(1);
expect(controller.index).toBe(1);
});
it('Should use the first scale IDs if the dataset does not specify them', function() {
var chart = {
data: {
datasets: [{
data: []
}]
},
options: {
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
}
};
var controller = new Chart.controllers.line(chart, 0);
expect(chart.data.datasets[0].xAxisID).toBe('firstXScaleID');
expect(chart.data.datasets[0].yAxisID).toBe('firstYScaleID');
});
it('Should create line elements and point elements for each data item during initialization', function() {
var chart = {
data: {
datasets: [{
data: [10, 15, 0, -4]
}]
},
config: {
type: 'line'
},
options: {
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
}
};
var controller = new Chart.controllers.line(chart, 0);
expect(chart.data.datasets[0].metaData.length).toBe(4); // 4 points created
expect(chart.data.datasets[0].metaData[0] instanceof Chart.elements.Point).toBe(true);
expect(chart.data.datasets[0].metaData[1] instanceof Chart.elements.Point).toBe(true);
expect(chart.data.datasets[0].metaData[2] instanceof Chart.elements.Point).toBe(true);
expect(chart.data.datasets[0].metaData[3] instanceof Chart.elements.Point).toBe(true);
expect(chart.data.datasets[0].metaDataset instanceof Chart.elements.Line).toBe(true); // 1 line element
});
it('should remove elements', function() {
var chart = {
data: {
datasets: [{
data: [10, 15, 0, -4]
}]
},
config: {
type: 'line'
},
options: {
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
}
};
var controller = new Chart.controllers.line(chart, 0);
controller.removeElement(0);
expect(chart.data.datasets[0].metaData.length).toBe(3);
});
it('should draw all elements', function() {
var chart = {
data: {
datasets: [{
data: [10, 15, 0, -4]
}]
},
config: {
type: 'line'
},
options: {
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
}
};
var controller = new Chart.controllers.line(chart, 0);
spyOn(chart.data.datasets[0].metaDataset, 'draw');
spyOn(chart.data.datasets[0].metaData[0], 'draw');
spyOn(chart.data.datasets[0].metaData[1], 'draw');
spyOn(chart.data.datasets[0].metaData[2], 'draw');
spyOn(chart.data.datasets[0].metaData[3], 'draw');
controller.draw();
expect(chart.data.datasets[0].metaDataset.draw.calls.count()).toBe(1);
expect(chart.data.datasets[0].metaData[0].draw.calls.count()).toBe(1);
expect(chart.data.datasets[0].metaData[2].draw.calls.count()).toBe(1);
expect(chart.data.datasets[0].metaData[3].draw.calls.count()).toBe(1);
});
it('should update elements', function() {
var data = {
datasets: [{
data: [10, 15, 0, -4],
label: 'dataset2',
xAxisID: 'firstXScaleID',
yAxisID: 'firstYScaleID'
}],
labels: ['label1', 'label2', 'label3', 'label4']
};
var mockContext = window.createMockContext();
var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.line.scales.yAxes[0]);
var yScale = new VerticalScaleConstructor({
ctx: mockContext,
options: verticalScaleConfig,
data: data,
id: 'firstYScaleID'
});
// Update ticks & set physical dimensions
var verticalSize = yScale.update(50, 200);
yScale.top = 0;
yScale.left = 0;
yScale.right = verticalSize.width;
yScale.bottom = verticalSize.height;
var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.line.scales.xAxes[0]);
var xScale = new HorizontalScaleConstructor({
ctx: mockContext,
options: horizontalScaleConfig,
data: data,
id: 'firstXScaleID'
});
// Update ticks & set physical dimensions
var horizontalSize = xScale.update(200, 50);
xScale.left = yScale.right;
xScale.top = yScale.bottom;
xScale.right = horizontalSize.width + xScale.left;
xScale.bottom = horizontalSize.height + xScale.top;
var chart = {
chartArea: {
bottom: 200,
left: xScale.left,
right: 200,
top: 0
},
data: data,
config: {
type: 'line'
},
options: {
elements: {
line: {
backgroundColor: 'rgb(255, 0, 0)',
borderCapStyle: 'round',
borderColor: 'rgb(0, 255, 0)',
borderDash: [],
borderDashOffset: 0.1,
borderJoinStyle: 'bevel',
borderWidth: 1.2,
fill: true,
tension: 0.1,
},
point: {
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 1,
borderColor: Chart.defaults.global.defaultColor,
hitRadius: 1,
hoverRadius: 4,
hoverBorderWidth: 1,
radius: 3,
}
},
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
},
scales: {
firstXScaleID: xScale,
firstYScaleID: yScale,
}
};
var controller = new Chart.controllers.line(chart, 0);
controller.update();
// Line element
expect(chart.data.datasets[0].metaDataset._model).toEqual({
backgroundColor: 'rgb(255, 0, 0)',
borderCapStyle: 'round',
borderColor: 'rgb(0, 255, 0)',
borderDash: [],
borderDashOffset: 0.1,
borderJoinStyle: 'bevel',
borderWidth: 1.2,
fill: true,
tension: 0.1,
scaleTop: 0,
scaleBottom: 200,
scaleZero: 156,
});
expect(chart.data.datasets[0].metaData[0]._model).toEqual({
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 1,
borderColor: Chart.defaults.global.defaultColor,
hitRadius: 1,
radius: 3,
skip: false,
tension: 0.1,
// Point
x: 71,
y: 62,
// Control points
controlPointPreviousX: 71,
controlPointPreviousY: 62,
controlPointNextX: 76,
controlPointNextY: 57.3,
});
expect(chart.data.datasets[0].metaData[1]._model).toEqual({
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 1,
borderColor: Chart.defaults.global.defaultColor,
hitRadius: 1,
radius: 3,
skip: false,
tension: 0.1,
// Point
x: 121,
y: 15,
// Control points
controlPointPreviousX: 117.82889384189087,
controlPointPreviousY: 12.04867347661131,
controlPointNextX: 127.92889384189088,
controlPointNextY: 21.44867347661131,
});
expect(chart.data.datasets[0].metaData[2]._model).toEqual({
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 1,
borderColor: Chart.defaults.global.defaultColor,
hitRadius: 1,
radius: 3,
skip: false,
tension: 0.1,
// Point
x: 172,
y: 156,
// Control points
controlPointPreviousX: 164.8815225337256,
controlPointPreviousY: 143.38408449046415,
controlPointNextX: 174.98152253372558,
controlPointNextY: 161.28408449046415,
});
expect(chart.data.datasets[0].metaData[3]._model).toEqual({
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 1,
borderColor: Chart.defaults.global.defaultColor,
hitRadius: 1,
radius: 3,
skip: false,
tension: 0.1,
// Point
x: 222,
y: 194,
// Control points
controlPointPreviousX: 217,
controlPointPreviousY: 190.2,
controlPointNextX: 222,
controlPointNextY: 194,
});
// Use dataset level styles for lines & points
chart.data.datasets[0].tension = 0.2;
chart.data.datasets[0].backgroundColor = 'rgb(98, 98, 98)';
chart.data.datasets[0].borderColor = 'rgb(8, 8, 8)';
chart.data.datasets[0].borderWidth = 0.55;
chart.data.datasets[0].borderCapStyle = 'butt';
chart.data.datasets[0].borderDash = [2, 3];
chart.data.datasets[0].borderDashOffset = 7;
chart.data.datasets[0].borderJoinStyle = 'miter';
chart.data.datasets[0].fill = false;
// point styles
chart.data.datasets[0].radius = 22;
chart.data.datasets[0].hitRadius = 3.3;
chart.data.datasets[0].pointBackgroundColor = 'rgb(128, 129, 130)';
chart.data.datasets[0].pointBorderColor = 'rgb(56, 57, 58)';
chart.data.datasets[0].pointBorderWidth = 1.123;
controller.update();
expect(chart.data.datasets[0].metaDataset._model).toEqual({
backgroundColor: 'rgb(98, 98, 98)',
borderCapStyle: 'butt',
borderColor: 'rgb(8, 8, 8)',
borderDash: [2, 3],
borderDashOffset: 7,
borderJoinStyle: 'miter',
borderWidth: 0.55,
fill: false,
tension: 0.2,
scaleTop: 0,
scaleBottom: 200,
scaleZero: 156,
});
expect(chart.data.datasets[0].metaData[0]._model).toEqual({
backgroundColor: 'rgb(128, 129, 130)',
borderWidth: 1.123,
borderColor: 'rgb(56, 57, 58)',
hitRadius: 3.3,
radius: 22,
skip: false,
tension: 0.2,
// Point
x: 71,
y: 62,
// Control points
controlPointPreviousX: 71,
controlPointPreviousY: 62,
controlPointNextX: 81,
controlPointNextY: 52.6,
});
expect(chart.data.datasets[0].metaData[1]._model).toEqual({
backgroundColor: 'rgb(128, 129, 130)',
borderWidth: 1.123,
borderColor: 'rgb(56, 57, 58)',
hitRadius: 3.3,
radius: 22,
skip: false,
tension: 0.2,
// Point
x: 121,
y: 15,
// Control points
controlPointPreviousX: 114.65778768378175,
controlPointPreviousY: 9.097346953222619,
controlPointNextX: 134.85778768378177,
controlPointNextY: 27.897346953222623,
});
expect(chart.data.datasets[0].metaData[2]._model).toEqual({
backgroundColor: 'rgb(128, 129, 130)',
borderWidth: 1.123,
borderColor: 'rgb(56, 57, 58)',
hitRadius: 3.3,
radius: 22,
skip: false,
tension: 0.2,
// Point
x: 172,
y: 156,
// Control points
controlPointPreviousX: 157.76304506745115,
controlPointPreviousY: 130.76816898092827,
controlPointNextX: 177.96304506745116,
controlPointNextY: 166.56816898092828,
});
expect(chart.data.datasets[0].metaData[3]._model).toEqual({
backgroundColor: 'rgb(128, 129, 130)',
borderWidth: 1.123,
borderColor: 'rgb(56, 57, 58)',
hitRadius: 3.3,
radius: 22,
skip: false,
tension: 0.2,
// Point
x: 222,
y: 194,
// Control points
controlPointPreviousX: 212,
controlPointPreviousY: 186.4,
controlPointNextX: 222,
controlPointNextY: 194,
});
// Use custom styles for lines & first point
chart.data.datasets[0].metaDataset.custom = {
tension: 0.25,
backgroundColor: 'rgb(55, 55, 54)',
borderColor: 'rgb(8, 7, 6)',
borderWidth: 0.3,
borderCapStyle: 'square',
borderDash: [4, 3],
borderDashOffset: 4.4,
borderJoinStyle: 'round',
fill: true,
};
// point styles
chart.data.datasets[0].metaData[0].custom = {
radius: 2.2,
backgroundColor: 'rgb(0, 1, 3)',
borderColor: 'rgb(4, 6, 8)',
borderWidth: 0.787,
tension: 0.15,
skip: true,
hitRadius: 5,
};
controller.update();
expect(chart.data.datasets[0].metaDataset._model).toEqual({
backgroundColor: 'rgb(55, 55, 54)',
borderCapStyle: 'square',
borderColor: 'rgb(8, 7, 6)',
borderDash: [4, 3],
borderDashOffset: 4.4,
borderJoinStyle: 'round',
borderWidth: 0.3,
fill: true,
tension: 0.25,
scaleTop: 0,
scaleBottom: 200,
scaleZero: 156,
});
expect(chart.data.datasets[0].metaData[0]._model).toEqual({
backgroundColor: 'rgb(0, 1, 3)',
borderWidth: 0.787,
borderColor: 'rgb(4, 6, 8)',
hitRadius: 5,
radius: 2.2,
skip: true,
tension: 0.15,
// Point
x: 71,
y: 62,
// Control points
controlPointPreviousX: 71,
controlPointPreviousY: 62,
controlPointNextX: 78.5,
controlPointNextY: 54.95,
});
});
it('should handle number of data point changes in update', function() {
var data = {
datasets: [{
data: [10, 15, 0, -4],
label: 'dataset2',
xAxisID: 'firstXScaleID',
yAxisID: 'firstYScaleID'
}],
labels: ['label1', 'label2', 'label3', 'label4']
};
var mockContext = window.createMockContext();
var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.line.scales.yAxes[0]);
var yScale = new VerticalScaleConstructor({
ctx: mockContext,
options: verticalScaleConfig,
data: data,
id: 'firstYScaleID'
});
// Update ticks & set physical dimensions
var verticalSize = yScale.update(50, 200);
yScale.top = 0;
yScale.left = 0;
yScale.right = verticalSize.width;
yScale.bottom = verticalSize.height;
var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.line.scales.xAxes[0]);
var xScale = new HorizontalScaleConstructor({
ctx: mockContext,
options: horizontalScaleConfig,
data: data,
id: 'firstXScaleID'
});
// Update ticks & set physical dimensions
var horizontalSize = xScale.update(200, 50);
xScale.left = yScale.right;
xScale.top = yScale.bottom;
xScale.right = horizontalSize.width + xScale.left;
xScale.bottom = horizontalSize.height + xScale.top;
var chart = {
chartArea: {
bottom: 200,
left: xScale.left,
right: 200,
top: 0
},
data: data,
config: {
type: 'line'
},
options: {
elements: {
line: {
backgroundColor: 'rgb(255, 0, 0)',
borderCapStyle: 'round',
borderColor: 'rgb(0, 255, 0)',
borderDash: [],
borderDashOffset: 0.1,
borderJoinStyle: 'bevel',
borderWidth: 1.2,
fill: true,
tension: 0.1,
},
point: {
backgroundColor: Chart.defaults.global.defaultColor,
borderWidth: 1,
borderColor: Chart.defaults.global.defaultColor,
hitRadius: 1,
hoverRadius: 4,
hoverBorderWidth: 1,
radius: 3,
}
},
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
},
scales: {
firstXScaleID: xScale,
firstYScaleID: yScale,
}
};
var controller = new Chart.controllers.line(chart, 0);
chart.data.datasets[0].data = [1, 2]; // remove 2 items
controller.buildOrUpdateElements();
controller.update();
expect(chart.data.datasets[0].metaData.length).toBe(2);
expect(chart.data.datasets[0].metaData[0] instanceof Chart.elements.Point).toBe(true);
expect(chart.data.datasets[0].metaData[1] instanceof Chart.elements.Point).toBe(true);
chart.data.datasets[0].data = [1, 2, 3, 4, 5]; // add 3 items
controller.buildOrUpdateElements();
controller.update();
expect(chart.data.datasets[0].metaData.length).toBe(5);
expect(chart.data.datasets[0].metaData[0] instanceof Chart.elements.Point).toBe(true);
expect(chart.data.datasets[0].metaData[1] instanceof Chart.elements.Point).toBe(true);
expect(chart.data.datasets[0].metaData[2] instanceof Chart.elements.Point).toBe(true);
expect(chart.data.datasets[0].metaData[3] instanceof Chart.elements.Point).toBe(true);
expect(chart.data.datasets[0].metaData[4] instanceof Chart.elements.Point).toBe(true);
});
it('should set point hover styles', function() {
var data = {
datasets: [{
data: [10, 15, 0, -4],
label: 'dataset2',
xAxisID: 'firstXScaleID',
yAxisID: 'firstYScaleID'
}],
labels: ['label1', 'label2', 'label3', 'label4']
};
var mockContext = window.createMockContext();
var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.line.scales.yAxes[0]);
var yScale = new VerticalScaleConstructor({
ctx: mockContext,
options: verticalScaleConfig,
data: data,
id: 'firstYScaleID'
});
// Update ticks & set physical dimensions
var verticalSize = yScale.update(50, 200);
yScale.top = 0;
yScale.left = 0;
yScale.right = verticalSize.width;
yScale.bottom = verticalSize.height;
var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.line.scales.xAxes[0]);
var xScale = new HorizontalScaleConstructor({
ctx: mockContext,
options: horizontalScaleConfig,
data: data,
id: 'firstXScaleID'
});
// Update ticks & set physical dimensions
var horizontalSize = xScale.update(200, 50);
xScale.left = yScale.right;
xScale.top = yScale.bottom;
xScale.right = horizontalSize.width + xScale.left;
xScale.bottom = horizontalSize.height + xScale.top;
var chart = {
chartArea: {
bottom: 200,
left: xScale.left,
right: 200,
top: 0
},
data: data,
config: {
type: 'line'
},
options: {
elements: {
line: {
backgroundColor: 'rgb(255, 0, 0)',
borderCapStyle: 'round',
borderColor: 'rgb(0, 255, 0)',
borderDash: [],
borderDashOffset: 0.1,
borderJoinStyle: 'bevel',
borderWidth: 1.2,
fill: true,
skipNull: true,
tension: 0.1,
},
point: {
backgroundColor: 'rgb(255, 255, 0)',
borderWidth: 1,
borderColor: 'rgb(255, 255, 255)',
hitRadius: 1,
hoverRadius: 4,
hoverBorderWidth: 1,
radius: 3,
}
},
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
},
scales: {
firstXScaleID: xScale,
firstYScaleID: yScale,
}
};
var controller = new Chart.controllers.line(chart, 0);
controller.update();
var point = chart.data.datasets[0].metaData[0];
controller.setHoverStyle(point);
expect(point._model.backgroundColor).toBe('rgb(229, 230, 0)');
expect(point._model.borderColor).toBe('rgb(230, 230, 230)');
expect(point._model.borderWidth).toBe(1);
expect(point._model.radius).toBe(4);
// Can set hover style per dataset
chart.data.datasets[0].pointHoverRadius = 3.3;
chart.data.datasets[0].pointHoverBackgroundColor = 'rgb(77, 79, 81)';
chart.data.datasets[0].pointHoverBorderColor = 'rgb(123, 125, 127)';
chart.data.datasets[0].pointHoverBorderWidth = 2.1;
controller.setHoverStyle(point);
expect(point._model.backgroundColor).toBe('rgb(77, 79, 81)');
expect(point._model.borderColor).toBe('rgb(123, 125, 127)');
expect(point._model.borderWidth).toBe(2.1);
expect(point._model.radius).toBe(3.3);
// Custom style
point.custom = {
hoverRadius: 4.4,
hoverBorderWidth: 5.5,
hoverBackgroundColor: 'rgb(0, 0, 0)',
hoverBorderColor: 'rgb(10, 10, 10)'
};
controller.setHoverStyle(point);
expect(point._model.backgroundColor).toBe('rgb(0, 0, 0)');
expect(point._model.borderColor).toBe('rgb(10, 10, 10)');
expect(point._model.borderWidth).toBe(5.5);
expect(point._model.radius).toBe(4.4);
});
it('should remove hover styles', function() {
var data = {
datasets: [{
data: [10, 15, 0, -4],
label: 'dataset2',
xAxisID: 'firstXScaleID',
yAxisID: 'firstYScaleID'
}],
labels: ['label1', 'label2', 'label3', 'label4']
};
var mockContext = window.createMockContext();
var VerticalScaleConstructor = Chart.scaleService.getScaleConstructor('linear');
var verticalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
verticalScaleConfig = Chart.helpers.scaleMerge(verticalScaleConfig, Chart.defaults.line.scales.yAxes[0]);
var yScale = new VerticalScaleConstructor({
ctx: mockContext,
options: verticalScaleConfig,
data: data,
id: 'firstYScaleID'
});
// Update ticks & set physical dimensions
var verticalSize = yScale.update(50, 200);
yScale.top = 0;
yScale.left = 0;
yScale.right = verticalSize.width;
yScale.bottom = verticalSize.height;
var HorizontalScaleConstructor = Chart.scaleService.getScaleConstructor('category');
var horizontalScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
horizontalScaleConfig = Chart.helpers.scaleMerge(horizontalScaleConfig, Chart.defaults.line.scales.xAxes[0]);
var xScale = new HorizontalScaleConstructor({
ctx: mockContext,
options: horizontalScaleConfig,
data: data,
id: 'firstXScaleID'
});
// Update ticks & set physical dimensions
var horizontalSize = xScale.update(200, 50);
xScale.left = yScale.right;
xScale.top = yScale.bottom;
xScale.right = horizontalSize.width + xScale.left;
xScale.bottom = horizontalSize.height + xScale.top;
var chart = {
chartArea: {
bottom: 200,
left: xScale.left,
right: 200,
top: 0
},
data: data,
config: {
type: 'line'
},
options: {
elements: {
line: {
backgroundColor: 'rgb(255, 0, 0)',
borderCapStyle: 'round',
borderColor: 'rgb(0, 255, 0)',
borderDash: [],
borderDashOffset: 0.1,
borderJoinStyle: 'bevel',
borderWidth: 1.2,
fill: true,
tension: 0.1,
},
point: {
backgroundColor: 'rgb(255, 255, 0)',
borderWidth: 1,
borderColor: 'rgb(255, 255, 255)',
hitRadius: 1,
hoverRadius: 4,
hoverBorderWidth: 1,
radius: 3,
}
},
scales: {
xAxes: [{
id: 'firstXScaleID'
}],
yAxes: [{
id: 'firstYScaleID'
}]
}
},
scales: {
firstXScaleID: xScale,
firstYScaleID: yScale,
}
};
var controller = new Chart.controllers.line(chart, 0);
controller.update();
var point = chart.data.datasets[0].metaData[0];
chart.options.elements.point.backgroundColor = 'rgb(45, 46, 47)';
chart.options.elements.point.borderColor = 'rgb(50, 51, 52)';
chart.options.elements.point.borderWidth = 10.1;
chart.options.elements.point.radius = 1.01;
controller.removeHoverStyle(point);
expect(point._model.backgroundColor).toBe('rgb(45, 46, 47)');
expect(point._model.borderColor).toBe('rgb(50, 51, 52)');
expect(point._model.borderWidth).toBe(10.1);
expect(point._model.radius).toBe(1.01);
// Can set hover style per dataset
chart.data.datasets[0].radius = 3.3;
chart.data.datasets[0].pointBackgroundColor = 'rgb(77, 79, 81)';
chart.data.datasets[0].pointBorderColor = 'rgb(123, 125, 127)';
chart.data.datasets[0].pointBorderWidth = 2.1;
controller.removeHoverStyle(point);
expect(point._model.backgroundColor).toBe('rgb(77, 79, 81)');
expect(point._model.borderColor).toBe('rgb(123, 125, 127)');
expect(point._model.borderWidth).toBe(2.1);
expect(point._model.radius).toBe(3.3);
// Custom style
point.custom = {
radius: 4.4,
borderWidth: 5.5,
backgroundColor: 'rgb(0, 0, 0)',
borderColor: 'rgb(10, 10, 10)'
};
controller.removeHoverStyle(point);
expect(point._model.backgroundColor).toBe('rgb(0, 0, 0)');
expect(point._model.borderColor).toBe('rgb(10, 10, 10)');
expect(point._model.borderWidth).toBe(5.5);
expect(point._model.radius).toBe(4.4);
});
});
-45
Ver Arquivo
@@ -1,45 +0,0 @@
// Test the core element functionality
describe('Core element tests', function() {
it ('should transition model properties', function() {
var element = new Chart.Element({
_model: {
numberProp: 0,
numberProp2: 100,
_underscoreProp: 0,
stringProp: 'abc',
objectProp: {
myObject: true
},
colorProp: 'rgb(0, 0, 0)'
}
});
// First transition clones model into view
element.transition(0.25);
expect(element._view).toEqual(element._model);
expect(element._start).toEqual(element._model); // also cloned
expect(element._view.objectProp).toBe(element._model.objectProp); // not cloned
expect(element._start.objectProp).toEqual(element._model.objectProp); // not cloned
element._model.numberProp = 100;
element._model.numberProp2 = 250;
element._model._underscoreProp = 200;
element._model.stringProp = 'def'
element._model.newStringProp = 'newString';
element._model.colorProp = 'rgb(255, 255, 0)'
element.transition(0.25);
expect(element._view).toEqual({
numberProp: 25,
numberProp2: 137.5,
_underscoreProp: 0, // underscore props are not transition to a new value
stringProp: 'def',
newStringProp: 'newString',
objectProp: {
myObject: true
},
colorProp: 'rgb(64, 64, 0)',
});
});
});
-494
Ver Arquivo
@@ -1,494 +0,0 @@
describe('Core helper tests', function() {
var helpers;
beforeAll(function() {
helpers = window.Chart.helpers;
});
it('Should iterate over an array and pass the extra data to that function', function() {
var testData = [0, 9, "abc"];
var scope = {}; // fake out the scope and ensure that 'this' is the correct thing
helpers.each(testData, function(item, index) {
expect(item).not.toBe(undefined);
expect(index).not.toBe(undefined);
expect(testData[index]).toBe(item);
expect(this).toBe(scope);
}, scope);
// Reverse iteration
var iterated = [];
helpers.each(testData, function(item, index) {
expect(item).not.toBe(undefined);
expect(index).not.toBe(undefined);
expect(testData[index]).toBe(item);
expect(this).toBe(scope);
iterated.push(item);
}, scope, true);
expect(iterated.slice().reverse()).toEqual(testData);
});
it('Should iterate over properties in an object', function() {
var testData = {
myProp1: 'abc',
myProp2: 276,
myProp3: ['a', 'b']
};
helpers.each(testData, function(value, key) {
if (key === 'myProp1') {
expect(value).toBe('abc');
} else if (key === 'myProp2') {
expect(value).toBe(276);
} else if (key === 'myProp3') {
expect(value).toEqual(['a', 'b']);
} else {
expect(false).toBe(true);
}
});
});
it('should not error when iterating over a null object', function() {
expect(function() {
helpers.each(undefined);
}).not.toThrow();
});
it('Should clone an object', function() {
var testData = {
myProp1: 'abc',
myProp2: ['a', 'b'],
myProp3: {
myProp4: 5,
myProp5: [1, 2]
}
};
var clone = helpers.clone(testData);
expect(clone).toEqual(testData);
expect(clone).not.toBe(testData);
expect(clone.myProp2).not.toBe(testData.myProp2);
expect(clone.myProp3).not.toBe(testData.myProp3);
expect(clone.myProp3.myProp5).not.toBe(testData.myProp3.myProp5);
});
it('should extend an object', function() {
var original = {
myProp1: 'abc',
myProp2: 56
};
var extension = {
myProp3: [2, 5, 6],
myProp2: 0
};
helpers.extend(original, extension);
expect(original).toEqual({
myProp1: 'abc',
myProp2: 0,
myProp3: [2, 5, 6],
});
});
it('Should merge a normal config without scales', function() {
var baseConfig = {
valueProp: 5,
arrayProp: [1, 2, 3, 4, 5, 6],
objectProp: {
prop1: 'abc',
prop2: 56
}
};
var toMerge = {
valueProp2: null,
arrayProp: ['a', 'c'],
objectProp: {
prop1: 'c',
prop3: 'prop3'
}
};
var merged = helpers.configMerge(baseConfig, toMerge);
expect(merged).toEqual({
valueProp: 5,
valueProp2: null,
arrayProp: ['a', 'c', 3, 4, 5, 6],
objectProp: {
prop1: 'c',
prop2: 56,
prop3: 'prop3'
}
});
});
it('should merge arrays containing objects', function() {
var baseConfig = {
arrayProp: [{
prop1: 'abc',
prop2: 56
}],
};
var toMerge = {
arrayProp: [{
prop1: 'myProp1',
prop3: 'prop3'
}, 2, {
prop1: 'myProp1'
}],
};
var merged = helpers.configMerge(baseConfig, toMerge);
expect(merged).toEqual({
arrayProp: [{
prop1: 'myProp1',
prop2: 56,
prop3: 'prop3'
},
2, {
prop1: 'myProp1'
}
],
});
});
it('Should merge scale configs', function() {
var baseConfig = {
scales: {
prop1: {
abc: 123,
def: '456'
},
prop2: 777,
yAxes: [{
type: 'linear',
}, {
type: 'log'
}]
}
};
var toMerge = {
scales: {
prop1: {
def: 'bbb',
ghi: 78
},
prop2: null,
yAxes: [{
type: 'linear',
axisProp: 456
}, {
// pulls in linear default config since axis type changes
type: 'linear',
position: 'right'
}, {
// Pulls in linear default config since axis not in base
type: 'linear'
}]
}
};
var merged = helpers.configMerge(baseConfig, toMerge);
expect(merged).toEqual({
scales: {
prop1: {
abc: 123,
def: 'bbb',
ghi: 78
},
prop2: null,
yAxes: [{
type: 'linear',
axisProp: 456
}, {
display: true,
gridLines: {
color: "rgba(0, 0, 0, 0.1)",
drawOnChartArea: true,
drawTicks: true, // draw ticks extending towards the label
lineWidth: 1,
offsetGridLines: false,
show: true,
zeroLineColor: "rgba(0,0,0,0.25)",
zeroLineWidth: 1,
},
position: "right",
scaleLabel: {
fontColor: '#666',
fontFamily: 'Helvetica Neue',
fontSize: 12,
fontStyle: 'normal',
labelString: '',
show: false,
},
ticks: {
beginAtZero: false,
fontColor: "#666",
fontFamily: "Helvetica Neue",
fontSize: 12,
fontStyle: "normal",
maxRotation: 90,
minRotation: 20,
mirror: false,
padding: 10,
reverse: false,
show: true,
callback: merged.scales.yAxes[1].ticks.callback, // make it nicer, then check explicitly below
},
type: 'linear'
}, {
display: true,
gridLines: {
color: "rgba(0, 0, 0, 0.1)",
drawOnChartArea: true,
drawTicks: true, // draw ticks extending towards the label
lineWidth: 1,
offsetGridLines: false,
show: true,
zeroLineColor: "rgba(0,0,0,0.25)",
zeroLineWidth: 1,
},
position: "left",
scaleLabel: {
fontColor: '#666',
fontFamily: 'Helvetica Neue',
fontSize: 12,
fontStyle: 'normal',
labelString: '',
show: false,
},
ticks: {
beginAtZero: false,
fontColor: "#666",
fontFamily: "Helvetica Neue",
fontSize: 12,
fontStyle: "normal",
maxRotation: 90,
minRotation: 20,
mirror: false,
padding: 10,
reverse: false,
show: true,
callback: merged.scales.yAxes[2].ticks.callback, // make it nicer, then check explicitly below
},
type: 'linear'
}]
}
});
// Are these actually functions
expect(merged.scales.yAxes[1].ticks.callback).toEqual(jasmine.any(Function));
expect(merged.scales.yAxes[2].ticks.callback).toEqual(jasmine.any(Function));
});
it('should get value or default', function() {
expect(helpers.getValueAtIndexOrDefault(98, 0, 56)).toBe(98);
expect(helpers.getValueAtIndexOrDefault(0, 0, 56)).toBe(0);
expect(helpers.getValueAtIndexOrDefault(undefined, undefined, 56)).toBe(56);
expect(helpers.getValueAtIndexOrDefault([1, 2, 3], 1, 100)).toBe(2);
expect(helpers.getValueAtIndexOrDefault([1, 2, 3], 3, 100)).toBe(100);
});
it('should filter an array', function() {
var data = [-10, 0, 6, 0, 7];
var callback = function(item) {
return item > 2
};
expect(helpers.where(data, callback)).toEqual([6, 7]);
expect(helpers.findNextWhere(data, callback)).toEqual(6);
expect(helpers.findNextWhere(data, callback, 2)).toBe(7);
expect(helpers.findNextWhere(data, callback, 4)).toBe(undefined);
expect(helpers.findPreviousWhere(data, callback)).toBe(7);
expect(helpers.findPreviousWhere(data, callback, 3)).toBe(6);
expect(helpers.findPreviousWhere(data, callback, 0)).toBe(undefined);
});
it('Should get the correct sign', function() {
expect(helpers.sign(0)).toBe(0);
expect(helpers.sign(10)).toBe(1);
expect(helpers.sign(-5)).toBe(-1);
});
it('should do a log10 operation', function() {
expect(helpers.log10(0)).toBe(-Infinity);
expect(helpers.log10(1)).toBe(0);
expect(helpers.log10(1000)).toBe(3);
});
it('Should generate ids', function() {
expect(helpers.uid()).toBe('chart-0');
expect(helpers.uid()).toBe('chart-1');
expect(helpers.uid()).toBe('chart-2');
expect(helpers.uid()).toBe('chart-3');
});
it('should detect a number', function() {
expect(helpers.isNumber(123)).toBe(true);
expect(helpers.isNumber('123')).toBe(true);
expect(helpers.isNumber(null)).toBe(false);
expect(helpers.isNumber(NaN)).toBe(false);
expect(helpers.isNumber(undefined)).toBe(false);
expect(helpers.isNumber('cbc')).toBe(false);
});
it('should convert between radians and degrees', function() {
expect(helpers.toRadians(180)).toBe(Math.PI);
expect(helpers.toRadians(90)).toBe(0.5 * Math.PI);
expect(helpers.toDegrees(Math.PI)).toBe(180);
expect(helpers.toDegrees(Math.PI * 3 / 2)).toBe(270);
});
it('should get an angle from a point', function() {
var center = {
x: 0,
y: 0
};
expect(helpers.getAngleFromPoint(center, {
x: 0,
y: 10
})).toEqual({
angle: Math.PI / 2,
distance: 10,
});
expect(helpers.getAngleFromPoint(center, {
x: Math.sqrt(2),
y: Math.sqrt(2)
})).toEqual({
angle: Math.PI / 4,
distance: 2
});
expect(helpers.getAngleFromPoint(center, {
x: -1.0 * Math.sqrt(2),
y: -1.0 * Math.sqrt(2)
})).toEqual({
angle: Math.PI * 1.25,
distance: 2
});
});
it('should spline curves', function() {
expect(helpers.splineCurve({
x: 0,
y: 0
}, {
x: 1,
y: 1
}, {
x: 2,
y: 0
}, 0)).toEqual({
previous: {
x: 1,
y: 1,
},
next: {
x: 1,
y: 1,
}
});
expect(helpers.splineCurve({
x: 0,
y: 0
}, {
x: 1,
y: 1
}, {
x: 2,
y: 0
}, 1)).toEqual({
previous: {
x: 0,
y: 1,
},
next: {
x: 2,
y: 1,
}
});
});
it('should get the next or previous item in an array', function() {
var testData = [0, 1, 2];
expect(helpers.nextItem(testData, 0, false)).toEqual(1);
expect(helpers.nextItem(testData, 2, false)).toEqual(2);
expect(helpers.nextItem(testData, 2, true)).toEqual(0);
expect(helpers.nextItem(testData, 1, true)).toEqual(2);
expect(helpers.nextItem(testData, -1, false)).toEqual(0);
expect(helpers.previousItem(testData, 0, false)).toEqual(0);
expect(helpers.previousItem(testData, 0, true)).toEqual(2);
expect(helpers.previousItem(testData, 2, false)).toEqual(1);
expect(helpers.previousItem(testData, 1, true)).toEqual(0);
});
it('should clear a canvas', function() {
var context = window.createMockContext();
helpers.clear({
width: 100,
height: 150,
ctx: context
});
expect(context.getCalls()).toEqual([{
name: 'clearRect',
args: [0, 0, 100, 150]
}]);
});
it('should draw a rounded rectangle', function() {
var context = window.createMockContext();
helpers.drawRoundedRectangle(context, 10, 20, 30, 40, 5);
expect(context.getCalls()).toEqual([{
name: 'beginPath',
args: []
}, {
name: 'moveTo',
args: [15, 20]
}, {
name: 'lineTo',
args: [35, 20]
}, {
name: 'quadraticCurveTo',
args: [40, 20, 40, 25]
}, {
name: 'lineTo',
args: [40, 55]
}, {
name: 'quadraticCurveTo',
args: [40, 60, 35, 60]
}, {
name: 'lineTo',
args: [15, 60]
}, {
name: 'quadraticCurveTo',
args: [10, 60, 10, 55]
}, {
name: 'lineTo',
args: [10, 25]
}, {
name: 'quadraticCurveTo',
args: [10, 20, 15, 20]
}, {
name: 'closePath',
args: []
}])
});
});
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@@ -1,257 +0,0 @@
// Tests of the scale service
describe('Test the scale service', function() {
it('should fit a simple chart with 2 scales', function() {
var chartInstance = {
scales: [],
};
var xScaleID = 'xScale';
var yScaleID = 'yScale';
var mockData = {
datasets: [{
yAxisID: yScaleID,
data: [10, 5, 0, 25, 78, -10]
}],
labels: ['tick1', 'tick2', 'tick3', 'tick4', 'tick5']
};
var mockContext = window.createMockContext();
var xScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
var XConstructor = Chart.scaleService.getScaleConstructor('category');
var xScale = new XConstructor({
ctx: mockContext,
options: xScaleConfig,
data: mockData,
id: xScaleID
});
var yScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
var YConstructor = Chart.scaleService.getScaleConstructor('linear');
var yScale = new YConstructor({
ctx: mockContext,
options: yScaleConfig,
data: mockData,
id: yScaleID
});
chartInstance.scales.push(xScale);
chartInstance.scales.push(yScale);
var canvasWidth = 250;
var canvasHeight = 150;
Chart.scaleService.update(chartInstance, canvasWidth, canvasHeight);
expect(chartInstance.chartArea).toEqual({
left: 45,
right: 245,
top: 5,
bottom: 76.0423977855504,
});
// Is xScale at the right spot
expect(xScale.left).toBe(45);
expect(xScale.right).toBe(245);
expect(xScale.top).toBe(76.0423977855504);
expect(xScale.bottom).toBe(145);
expect(xScale.labelRotation).toBe(55);
// Is yScale at the right spot
expect(yScale.left).toBe(5);
expect(yScale.right).toBe(45);
expect(yScale.top).toBe(5);
expect(yScale.bottom).toBe(76.0423977855504);
});
it('should fit scales that are in the top and right positions', function() {
var chartInstance = {
scales: [],
};
var xScaleID = 'xScale';
var yScaleID = 'yScale';
var mockData = {
datasets: [{
yAxisID: yScaleID,
data: [10, 5, 0, 25, 78, -10]
}],
labels: ['tick1', 'tick2', 'tick3', 'tick4', 'tick5']
};
var mockContext = window.createMockContext();
var xScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
xScaleConfig.position = 'top';
var XConstructor = Chart.scaleService.getScaleConstructor('category');
var xScale = new XConstructor({
ctx: mockContext,
options: xScaleConfig,
data: mockData,
id: xScaleID
});
var yScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
yScaleConfig.position = 'right';
var YConstructor = Chart.scaleService.getScaleConstructor('linear');
var yScale = new YConstructor({
ctx: mockContext,
options: yScaleConfig,
data: mockData,
id: yScaleID
});
chartInstance.scales.push(xScale);
chartInstance.scales.push(yScale);
var canvasWidth = 250;
var canvasHeight = 150;
Chart.scaleService.update(chartInstance, canvasWidth, canvasHeight);
expect(chartInstance.chartArea).toEqual({
left: 5,
right: 205,
top: 73.9576022144496,
bottom: 145,
});
// Is xScale at the right spot
expect(xScale.left).toBe(5);
expect(xScale.right).toBe(205);
expect(xScale.top).toBe(5);
expect(xScale.bottom).toBe(73.9576022144496);
expect(xScale.labelRotation).toBe(55);
// Is yScale at the right spot
expect(yScale.left).toBe(205);
expect(yScale.right).toBe(245);
expect(yScale.top).toBe(73.9576022144496);
expect(yScale.bottom).toBe(145);
});
it('should fit multiple axes in the same position', function() {
var chartInstance = {
scales: [],
};
var xScaleID = 'xScale';
var yScaleID1 = 'yScale1';
var yScaleID2 = 'yScale2';
var mockData = {
datasets: [{
yAxisID: yScaleID1,
data: [10, 5, 0, 25, 78, -10]
}, {
yAxisID: yScaleID2,
data: [-19, -20, 0, -99, -50, 0]
}],
labels: ['tick1', 'tick2', 'tick3', 'tick4', 'tick5']
};
var mockContext = window.createMockContext();
var xScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('category'));
var XConstructor = Chart.scaleService.getScaleConstructor('category');
var xScale = new XConstructor({
ctx: mockContext,
options: xScaleConfig,
data: mockData,
id: xScaleID
});
var yScaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('linear'));
var YConstructor = Chart.scaleService.getScaleConstructor('linear');
var yScale1 = new YConstructor({
ctx: mockContext,
options: yScaleConfig,
data: mockData,
id: yScaleID1
});
var yScale2 = new YConstructor({
ctx: mockContext,
options: yScaleConfig,
data: mockData,
id: yScaleID2
});
chartInstance.scales.push(xScale);
chartInstance.scales.push(yScale1);
chartInstance.scales.push(yScale2);
var canvasWidth = 250;
var canvasHeight = 150;
Chart.scaleService.update(chartInstance, canvasWidth, canvasHeight);
expect(chartInstance.chartArea).toEqual({
left: 95,
right: 245,
top: 5,
bottom: 70.01536896070459,
});
// Is xScale at the right spot
expect(xScale.left).toBe(95);
expect(xScale.right).toBe(245);
expect(xScale.top).toBe(70.01536896070459);
expect(xScale.bottom).toBe(145);
// Are yScales at the right spot
expect(yScale1.left).toBe(5);
expect(yScale1.right).toBe(45);
expect(yScale1.top).toBe(5);
expect(yScale1.bottom).toBe(70.01536896070459);
expect(yScale2.left).toBe(45);
expect(yScale2.right).toBe(95);
expect(yScale2.top).toBe(5);
expect(yScale2.bottom).toBe(70.01536896070459);
});
// This is an oddball case. What happens is, when the scales are fit the first time they must fit within the assigned size. In this case,
// the labels on the xScale need to rotate to fit. However, when the scales are fit again after the width of the left axis is determined,
// the labels do not need to rotate. Previously, the chart was too small because the chartArea did not expand to take up the space freed up
// due to the lack of label rotation
it('should fit scales that overlap the chart area', function() {
var chartInstance = {
scales: [],
};
var scaleID = 'scaleID';
var mockData = {
datasets: [{
yAxisID: scaleID,
data: [10, 5, 0, 25, 78, -10]
}, {
yAxisID: scaleID,
data: [-19, -20, 0, -99, -50, 0]
}],
labels: ['tick1', 'tick2', 'tick3', 'tick4', 'tick5']
};
var mockContext = window.createMockContext();
var scaleConfig = Chart.helpers.clone(Chart.scaleService.getScaleDefaults('radialLinear'));
var ScaleConstructor = Chart.scaleService.getScaleConstructor('radialLinear');
var scale = new ScaleConstructor({
ctx: mockContext,
options: scaleConfig,
data: mockData,
id: scaleID
});
chartInstance.scales.push(scale);
var canvasWidth = 300;
var canvasHeight = 350;
Chart.scaleService.update(chartInstance, canvasWidth, canvasHeight);
expect(chartInstance.chartArea).toEqual({
left: 5,
right: 295,
top: 5,
bottom: 345,
});
expect(scale.left).toBe(5);
expect(scale.right).toBe(295);
expect(scale.top).toBe(5);
expect(scale.bottom).toBe(345);
expect(scale.width).toBe(290);
expect(scale.height).toBe(340)
});
});

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