Chart.js 中文文档

发布于 2020-04-13 11:42:15 字数 31487 浏览 1957 评论 0

此文档包含了用Chart.js创建漂亮图表的所有知识。

起步

引入Chart.js文件

首先我们需要在页面中引入Chart.js文件。此工具库在全局命名空间中定义了Chart变量。

<script src="Chart.js"></script>

创建图表

为了创建图表，我们要实例化一个Chart对象。为了完成前面的步骤，首先需要需要传入一个绘制图表的 2d context。以下是案例。

<canvas id="myChart" width="400" height="400"></canvas>

//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);

我们还可以用jQuery获取canvas的context。首先从jQuery集合中获取我们需要的DOM节点，然后在这个DOM节点上调用 getContext("2d") 方法。

//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);

当我们完成了在指定的canvas上实例化Chart对象之后，Chart.js会自动针对retina屏幕做缩放。

Chart对象设置完成后，我们就可以继续创建Chart.js中提供的具体类型的图表了。下面这个案例中，我们将展示如何绘制一幅极地区域图（Polar area chart）。

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 options you pass in with the default options for that chart type.

曲线图（Line chart）

简介

曲线图就是将数据标于曲线上的一种图表，一般用于展示趋势数据，和比较两组数据集。

使用案例

new Chart(ctx).Line(data,options);

数据结构

var data = {
	labels : ["January","February","March","April","May","June","July"],
	datasets : [
		{
			fillColor : "rgba(220,220,220,0.5)",
			strokeColor : "rgba(220,220,220,1)",
			pointColor : "rgba(220,220,220,1)",
			pointStrokeColor : "#fff",
			data : [65,59,90,81,56,55,40]
		},
		{
			fillColor : "rgba(151,187,205,0.5)",
			strokeColor : "rgba(151,187,205,1)",
			pointColor : "rgba(151,187,205,1)",
			pointStrokeColor : "#fff",
			data : [28,48,40,19,96,27,100]
		}
	]
}

The line chart requires an array of labels for each of the data points. This is show 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.

图表参数

Line.defaults = {
				
	//Boolean - If we show the scale above the chart data			
	scaleOverlay : false,
	
	//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 : false,
	
	//Interpolated JS string - can access value
	scaleLabel : "<%=value%>",
	
	//String - Scale label font declaration for the scale label
	scaleFontFamily : "'Arial'",
	
	//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 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 the line is curved between points
	bezierCurve : true,
	
	//Boolean - Whether to show a dot for each point
	pointDot : true,
	
	//Number - Radius of each point dot in pixels
	pointDotRadius : 3,
	
	//Number - Pixel width of point dot stroke
	pointDotStrokeWidth : 1,
	
	//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,
	
	//Boolean - Whether to animate the chart
	animation : true,

	//Number - Number of animation steps
	animationSteps : 60,
	
	//String - Animation easing effect
	animationEasing : "easeOutQuart",

	//Function - Fires when the animation is complete
	onAnimationComplete : null
	
}

柱状图（Bar chart）

简介

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.

使用案例

new Chart(ctx).Bar(data,options);

数据结构

var data = {
	labels : ["January","February","March","April","May","June","July"],
	datasets : [
		{
			fillColor : "rgba(220,220,220,0.5)",
			strokeColor : "rgba(220,220,220,1)",
			data : [65,59,90,81,56,55,40]
		},
		{
			fillColor : "rgba(151,187,205,0.5)",
			strokeColor : "rgba(151,187,205,1)",
			data : [28,48,40,19,96,27,100]
		}
	]
}

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.

图表参数

Bar.defaults = {
				
	//Boolean - If we show the scale above the chart data			
	scaleOverlay : false,
	
	//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 : false,
	
	//Interpolated JS string - can access value
	scaleLabel : "<%=value%>",
	
	//String - Scale label font declaration for the scale label
	scaleFontFamily : "'Arial'",
	
	//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 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 - 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,
	
	//Boolean - Whether to animate the chart
	animation : true,

	//Number - Number of animation steps
	animationSteps : 60,
	
	//String - Animation easing effect
	animationEasing : "easeOutQuart",

	//Function - Fires when the animation is complete
	onAnimationComplete : null
	
}

雷达图或蛛网图（Radar chart）

简介

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

使用案例

new Chart(ctx).Radar(data,options);

数据结构

var data = {
	labels : ["Eating","Drinking","Sleeping","Designing","Coding","Partying","Running"],
	datasets : [
		{
			fillColor : "rgba(220,220,220,0.5)",
			strokeColor : "rgba(220,220,220,1)",
			pointColor : "rgba(220,220,220,1)",
			pointStrokeColor : "#fff",
			data : [65,59,90,81,56,55,40]
		},
		{
			fillColor : "rgba(151,187,205,0.5)",
			strokeColor : "rgba(151,187,205,1)",
			pointColor : "rgba(151,187,205,1)",
			pointStrokeColor : "#fff",
			data : [28,48,40,19,96,27,100]
		}
	]
}

For a radar chart, usually you will want to show a label on each point of the chart, so we include an array of strings that we show around each point in the chart. If you do not want this, you can either not include the array of labels, or choose to hide them in the chart options.

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.

图表

Radar.defaults = {
				
	//Boolean - If we show the scale above the chart data			
	scaleOverlay : false,
	
	//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 centre starting value
	scaleStartValue : null,
	
	//Boolean - Whether to show lines for each scale point
	scaleShowLine : true,

	//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 : false,
	
	//Interpolated JS string - can access value
	scaleLabel : "<%=value%>",
	
	//String - Scale label font declaration for the scale label
	scaleFontFamily : "'Arial'",
	
	//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 - Show a backdrop to the scale label
	scaleShowLabelBackdrop : true,
	
	//String - The colour of the label backdrop	
	scaleBackdropColor : "rgba(255,255,255,0.75)",
	
	//Number - The backdrop padding above & below the label in pixels
	scaleBackdropPaddingY : 2,
	
	//Number - The backdrop padding to the side of the label in pixels	
	scaleBackdropPaddingX : 2,
	
	//Boolean - Whether we show the angle lines out of the radar
	angleShowLineOut : true,
	
	//String - Colour of the angle line
	angleLineColor : "rgba(0,0,0,.1)",
	
	//Number - Pixel width of the angle line
	angleLineWidth : 1,			
	
	//String - Point label font declaration
	pointLabelFontFamily : "'Arial'",
	
	//String - Point label font weight
	pointLabelFontStyle : "normal",
	
	//Number - Point label font size in pixels	
	pointLabelFontSize : 12,
	
	//String - Point label font colour	
	pointLabelFontColor : "#666",
	
	//Boolean - Whether to show a dot for each point
	pointDot : true,
	
	//Number - Radius of each point dot in pixels
	pointDotRadius : 3,
	
	//Number - Pixel width of point dot stroke
	pointDotStrokeWidth : 1,
	
	//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,
	
	//Boolean - Whether to animate the chart
	animation : true,

	//Number - Number of animation steps
	animationSteps : 60,
	
	//String - Animation easing effect
	animationEasing : "easeOutQuart",

	//Function - Fires when the animation is complete
	onAnimationComplete : null
	
}

极地区域图（Polar area chart）

简介

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.

使用案例

new Chart(ctx).PolarArea(data,options);

数据结构

var data = [
	{
		value : 30,
		color: "#D97041"
	},
	{
		value : 90,
		color: "#C7604C"
	},
	{
		value : 24,
		color: "#21323D"
	},
	{
		value : 58,
		color: "#9D9B7F"
	},
	{
		value : 82,
		color: "#7D4F6D"
	},
	{
		value : 8,
		color: "#584A5E"
	}
]

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.

图表

These are the default chart options. By passing in an object with any of these attributes, Chart.js will merge these objects and the graph accordingly. Explanations of each option are commented in the code below.

PolarArea.defaults = {
				
	//Boolean - Whether we show the scale above or below the chart segments
	scaleOverlay : 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 centre starting value
	scaleStartValue : null,
	
	//Boolean - Show line for each value in the scale
	scaleShowLine : true,
	
	//String - The colour of the scale line
	scaleLineColor : "rgba(0,0,0,.1)",
	
	//Number - The width of the line - in pixels
	scaleLineWidth : 1,
	
	//Boolean - whether we should show text labels
	scaleShowLabels : true,
	
	//Interpolated JS string - can access value
	scaleLabel : "<%=value%>",
	
	//String - Scale label font declaration for the scale label
	scaleFontFamily : "'Arial'",
	
	//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 - Show a backdrop to the scale label
	scaleShowLabelBackdrop : true,
	
	//String - The colour of the label backdrop	
	scaleBackdropColor : "rgba(255,255,255,0.75)",
	
	//Number - The backdrop padding above & below the label in pixels
	scaleBackdropPaddingY : 2,
	
	//Number - The backdrop padding to the side of the label in pixels	
	scaleBackdropPaddingX : 2,

	//Boolean - Stroke a line around each segment in the chart
	segmentShowStroke : true,
	
	//String - The colour of the stroke on each segement.
	segmentStrokeColor : "#fff",
	
	//Number - The width of the stroke value in pixels	
	segmentStrokeWidth : 2,
	
	//Boolean - Whether to animate the chart or not
	animation : true,
	
	//Number - Amount of animation steps
	animationSteps : 100,
	
	//String - Animation easing effect.
	animationEasing : "easeOutBounce",

	//Boolean - Whether to animate the rotation of the chart
	animateRotate : true,
	
	//Boolean - Whether to animate scaling the chart from the centre
	animateScale : false,

	//Function - This will fire when the animation of the chart is complete.
	onAnimationComplete : null
}

饼图（Pie chart）

简介

Pie charts are probably the most commonly used chart there are. They are divided into segments, the arc of each segment shows a the proportional value of each piece of data.

They are excellent at showing the relational proportions between data.

使用案例

new Chart(ctx).Pie(data,options);

数据结构

var data = [
	{
		value: 30,
		color:"#F38630"
	},
	{
		value : 50,
		color : "#E0E4CC"
	},
	{
		value : 100,
		color : "#69D2E7"
	}			
]

For a pie chart, you must pass in an array of objects with a value and a 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.

图表

These are the default options for the Pie chart. Pass in an object with any of these attributes to override them.

Pie.defaults = {
	//Boolean - Whether we should show a stroke on each segment
	segmentShowStroke : true,
	
	//String - The colour of each segment stroke
	segmentStrokeColor : "#fff",
	
	//Number - The width of each segment stroke
	segmentStrokeWidth : 2,
	
	//Boolean - Whether we should animate the chart	
	animation : true,
	
	//Number - Amount of animation steps
	animationSteps : 100,
	
	//String - Animation easing effect
	animationEasing : "easeOutBounce",
	
	//Boolean - Whether we animate the rotation of the Pie
	animateRotate : true,

	//Boolean - Whether we animate scaling the Pie from the centre
	animateScale : false,
	
	//Function - Will fire on animation completion.
	onAnimationComplete : null
}

环形图（Doughnut chart）

简介

Doughnut charts are similar to pie charts, however they have the centre cut out, and are therefore shaped more like a doughnut than a pie!

They are aso excellent at showing the relational proportions between data.

使用案例

new Chart(ctx).Doughnut(data,options);

数据结构

var data = [
	{
		value: 30,
		color:"#F7464A"
	},
	{
		value : 50,
		color : "#E2EAE9"
	},
	{
		value : 100,
		color : "#D4CCC5"
	},
	{
		value : 40,
		color : "#949FB1"
	},
	{
		value : 120,
		color : "#4D5360"
	}

]

For a doughnut chart, you must pass in an array of objects with a value and a 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.

图表

These are the default options for the doughnut chart. Pass in an object with any of these attributes to override them.

Doughnut.defaults = {
	//Boolean - Whether we should show a stroke on each segment
	segmentShowStroke : true,
	
	//String - The colour of each segment stroke
	segmentStrokeColor : "#fff",
	
	//Number - The width of each segment stroke
	segmentStrokeWidth : 2,
	
	//The percentage of the chart that we cut out of the middle.
	percentageInnerCutout : 50,
	
	//Boolean - Whether we should animate the chart	
	animation : true,
	
	//Number - Amount of animation steps
	animationSteps : 100,
	
	//String - Animation easing effect
	animationEasing : "easeOutBounce",
	
	//Boolean - Whether we animate the rotation of the Doughnut
	animateRotate : true,

	//Boolean - Whether we animate scaling the Doughnut from the centre
	animateScale : false,
	
	//Function - Will fire on animation completion.
	onAnimationComplete : null
}

高级用法

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.

// For example:
var myLineChart = new Chart(ctx).Line(data);

.clear()

Will clear the chart canvas. Used extensively internally between animation frames, but you might find it useful.

// Will clear the canvas that myLineChart is drawn on
myLineChart.clear();
// => returns 'this' for chainability

.stop()

Use this to stop any current animation loop. This will pause the chart during any current animation frame. Call .render() to re-animate.

// 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 browser is resized, but you can call this method manually if you change the size of the canvas nodes container element.

// Resizes & redraws to fill its container element
myLineChart.resize();
// => returns 'this' for chainability

.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.

// Destroys a specific chart instance
myLineChart.destroy();

.toBase64Image()

This returns a base 64 encoded string of the chart in it's current state.

myLineChart.toBase64Image();
// => returns png data url of the image on the canvas

.generateLegend()

Returns an HTML string of a legend for that chart. The template for this legend is at legendTemplate in the chart options.

myLineChart.generateLegend();
// => returns HTML string of a legend for this chart

External Tooltips

You can enable custom tooltips in the global or chart configuration like so:

var myPieChart = new Chart(ctx).Pie(data, {
  customTooltips: 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 files sample/pie-customTooltips.html and sample/line-customTooltips.html for examples on how to get started.

Writing new chart types

Chart.js 1.0 has been rewritten to provide a platform for developers to create their own custom chart types, and be able to share and utilise them through the Chart.js API.

The format is relatively simple, there are a set of utility helper methods under Chart.helpers, including things such as looping over collections, requesting animation frames, and easing equations.

On top of this, there are also some simple base classes of Chart elements, these all extend from Chart.Element, and include things such as points, bars and scales.

Chart.Type.extend({
  // Passing in a name registers this chart in the Chart namespace
  name: "Scatter",
  // Providing a defaults will also register the deafults in the chart namespace
  defaults : {
  options: "Here",
  available: "at this.options"
  },
  // Initialize is fired when the chart is initialized - Data is passed in as a parameter
  // Config is automatically merged by the core of Chart.js, and is available at this.options
  initialize:  function(data){
  this.chart.ctx // The drawing context for this chart
  this.chart.canvas // the canvas node for this chart
  },
  // Used to draw something on the canvas
  draw: function() {
  }
  });

  // Now we can create a new instance of our chart, using the Chart.js API
  new Chart(ctx).Scatter(data);
  // initialize is now run

Extending existing chart types

We can also extend existing chart types, and expose them to the API in the same way. Let's say for example, we might want to run some more code when we initialize every Line chart.

// Notice now we're extending the particular Line chart type, rather than the base class.
  Chart.types.Line.extend({
  // Passing in a name registers this chart in the Chart namespace in the same way
  name: "LineAlt",
  initialize: function(data){
  console.log('My Line chart extension');
  Chart.types.Line.prototype.initialize.apply(this, arguments);
  }
  });

  // Creates a line chart in the same way
  new Chart(ctx).LineAlt(data);
  // but this logs 'My Line chart extension' in the console.

Community extensions

Creating custom builds

Chart.js uses gulp to build the library into a single JavaScript file. We can use this same build script with custom parameters in order to build a custom version.

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:

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 gulp.

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.

Here we will create a version of Chart.js with only Line, Radar and Bar charts included:

gulp build --types=Line,Radar,Bar

This will output to the /custom directory, and write two files, Chart.js, and Chart.min.js with only those chart types included.

General issues

Chart interactivity

If you are looking to add interaction as a layer to charts, Chart.js is not the library for you. A better option would be using SVG, as this will let you attach event listeners to any of the elements in the chart, as these are all DOM nodes.

Chart.js uses the canvas element, which is a single DOM node, similar in characteristics to a static image. This does mean that it has a wider scope for compatibility, and less memory implications than SVG based charting solutions. The canvas element also allows for saving the contents as a base 64 string, allowing saving the chart as an image.

In SVG, all of the lines, data points and everything you see is a DOM node. As a result of this, complex charts with a lot of intricacies, or many charts on the page will often see dips in performance when scrolling or generating the chart, especially when there are multiple on the page. SVG also has relatively poor mobile support, with Android not supporting SVG at all before version 3.0, and iOS before 5.0. (caniuse.com/svg-html5).

浏览器支持

所有现代浏览器和大部分手机浏览器都支持canvas(caniuse.com/canvas)。

对于IE8及以下版本的浏览器，建议使用ExplorerCanvas - 见 https://code.google.com/p/explorercanvas/。对于不支持canvas的IE会自动降级为VML格式。使用方法:

<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 Modernizr 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.