gentelella/vendors/Chart.js/docs/04-Bar-Chart.md

---

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.

Example Usage

var myBarChart = new Chart(ctx, {
	type: 'bar',
	data: data,
	options: options
});

Or if you want horizontal bars.

var myBarChart = new Chart(ctx, {
	type: 'horizontalBar',
	data: data,
	options: options
});

Data Structure

The following options can be included in a bar chart dataset to configure options for that specific dataset.

Some properties can be specified as an array. If these are set to an array value, the first value applies to the first bar, the second value to the second bar, and so on.

Property	Type	Usage
data	Array<Number>	The data to plot as bars
label	String	The label for the dataset which appears in the legend and tooltips
xAxisID	String	The ID of the x axis to plot this dataset on
yAxisID	String	The ID of the y axis to plot this dataset on
backgroundColor	Color or Array<Color>	The fill color of the bars. See Colors
borderColor	Color or Array<Color>	Bar border color
borderWidth	Number or Array<Number>	Border width of bar in pixels
borderSkipped	String or Array<String>	Which edge to skip drawing the border for. Options are 'bottom', 'left', 'top', and 'right'
hoverBackgroundColor	Color or Array<Color>	Bar background color when hovered
hoverBorderColor	Color or Array<Color>	Bar border color when hovered
hoverBorderWidth	Number or Array<Number>	Border width of bar when hovered

An example data object using these attributes is shown below.

var data = {
	labels: ["January", "February", "March", "April", "May", "June", "July"],
	datasets: [
		{
			label: "My First dataset",
			backgroundColor: "rgba(255,99,132,0.2)",
			borderColor: "rgba(255,99,132,1)",
			borderWidth: 1,
			hoverBackgroundColor: "rgba(255,99,132,0.4)",
			hoverBorderColor: "rgba(255,99,132,1)",
			data: [65, 59, 80, 81, 56, 55, 40],
		}
	]
};

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. We have an array of labels too for display. In the example, we are showing the same data as the previous line chart example.

Chart Options

These are the customisation options specific to Bar charts. These options are merged with the global chart configuration options, and form the options of the chart.

The default options for bar chart are defined in Chart.defaults.bar.

Name	Type	Default	Description
hover.mode	String	"label"	Label's hover mode. "label" is used since the x axis displays data by the index in the dataset.
scales	Object	-	-
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.
display	Boolean	true	If true, show the scale.
id	String	"x-axis-0"	Id of the axis so that data can bind to it
stacked	Boolean	false	If true, bars are stacked on the x-axis
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
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
gridLines	Object	See 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.
scales.yAxes	Array	[{ type: "linear" }]
Options for xAxes
type	String	"linear"	As defined in Scales.
display	Boolean	true	If true, show the scale.
id	String	"y-axis-0"	Id of the axis so that data can bind to it.
stacked	Boolean	false	If true, bars are stacked on the y-axis

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:

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. For horizontal bars, this object is available at Chart.defaults.horizontalBar.

The default options for horizontal bar charts are defined in Chart.defaults.horizontalBar and are same as those of the bar chart, but with xAxes and yAxes swapped and the following additional options.

Name	Type	Default	Description
Options for xAxes
position	String	"bottom"
Options for yAxes
position	String	"left"

barPercentage vs categoryPercentage

The following shows the relationship between the bar percentage option and the category percentage option.

// 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:     |==============|