angular-chart is a AngularJS directive, which is build on top of c3 a d3-based chart library.
You can get it from Bower:
bower install angular-chart --save
Add everything to your index.html:
<link rel="stylesheet" href="bower_components/c3/c3.css" />
<link rel="stylesheet" href="bower_components/angular-chart/angular-chart.css">
<script src="bower_components/angular/angular.js"></script>
<script src="bower_components/d3/d3.js"></script>
<script src="bower_components/c3/c3.js"></script>
<script src="bower_components/angular-chart/angular-chart.js"></script>
And specify the directive in your module dependencies:
angular.module('myApp', ['angularChart'])
Add the corresponding data in your controller:
$scope.dataset = [
{
'day': '2013-01-02_00:00:00',
'sales': 13461.295202,
'income': 12365.053
}
];
$scope.schema = {
day: {
type: 'datetime',
format: '%Y-%m-%d_%H:%M:%S',
name: 'Date'
}
};
$scope.options = {
rows: [{
key: 'income',
type: 'bar'
}, {
key: 'sales'
}],
xAxis: {
key: 'day',
displayFormat: '%Y-%m-%d %H:%M:%S'
}
};
Then you are ready to use the directive in your view:
<div ng-controller="Controller">
<angularchart
dataset="dataset"
schema="schema"
options="options">
</angularchart>
</div>
The Schema is optional, it provides additional information about the dataset. It contains objects for all columns of the dataset that have to specified further. Therefor it provides these keys:
Optional name for the row.
Possible values: datetime, numeric, string
The format is used to specify how the timestamps are saved if they are different to %Y-%m-%dT%H:%M:%S
The following attributes define the chart itself and how to display the data.
Possible Values: json(default), columns, rows
Defines in what orientation the data is saved. Please see C3 Data Examples for examples.
Define a custom limit to stop watching for changes inside the dataset and only watch for changes in the number of items. Default: 100
Defines the columns which should be displayed in the chart. Each row can contain the following:
The column key which identifies the value in each record.
Possible values: line, spline, bar, scatter, area, area-spline, step, area-step, step
Optional name for the row.
Defines if the row should be rendered in the chart.
Defines the color for this row.
Possible values: y, y2
Defines the y axis the row is linked.
Possible values: line, spline, bar, scatter, donut
Defines which kind of chart should be rendered. The value will be the default for rows.type
.
When true
a selector to switch between multi and pie charts is displayed. Default: false
Defines which column to use and how to display it:
xAxis.key : String (see example)
The column key which identifies which value should be shown on the xAxis.
xAxis.displayFormat : String | Function (see example)
If the xAxis displays a timestamp the format of if can be defined by passing a String which follows the Time Formatting of D3. Alternatively a custom function can be passed.
Sample: function (x) { return x.getFullYear(); }
xAxis.selector : boolean (see example)
Shows the dropdown to choose which xAxis you want to use. Default: false
Defines yAxis display.
yAxis.label : String (see example)
Label displayed for the Y axis
yAxis.min : String (see example)
Lets you define the range for the Y axis
yAxis.max : String (see example)
Lets you define the range for the Y axis
Set the tick format Y axis e.g. yAxis.displayFormat = d3.format(".0%") to get a percentage format. A reference of all d3 format functions can be found here
Defines y2Axis display.
Label displayed for the Y2 axis
Lets you define the range for the Y2 axis
Lets you define the range for the Y2 axis
Set the tick format Y2 axis e.g. y2Axis.displayFormat = d3.format(".0%") to get a percentage format. A reference of all d3 format functions can be found here
Defines a fixed size of the chart.
size.height : Int (see example)
A fixed height of the chart.
size.width : Int (see example)
A fixed width of the chart.
Stacks bar together, like in this example.
Defines the subchart like in this example.
subchart.selector : boolean (see example)
If true
a subchart toggle button is displayed.
subchart.show : boolean (see example)
If true
a subchart for zooming is displayed.
Defines the zoom functionality of the chart.
zoom.enable : boolean (see example)
If true
it is possible to zoom using the mouse wheel. Default: false
zoom.range : Array [a, b]
(see example)
The current zoomed in range can get and set here. Works also for the subchart.
Callback whenever a zoom event is fired. Works also for the subchart.
Defines the tooltip.
Defines the format for the numbers in the tooltip. e.g. tooltip.displayFormat = d3.format(".0%") to get a percentage format. A reference of all d3 format functions can be found here
Defines the legend.
legend.selector : boolean (see example)
If true
a custom legend is displayed. Default: false
legend.show : boolean (see example)
If flase
the default legend is hidden. Default: true
annotation : Array of Objects (see example, see example)
Defines the annotation lines.
{value: X, text: 'LABEL', axis: 'AXIS'}
AXIS can be x
, y
, y2
.
Defines which Items can be selected and are currently selected.
selection.enabled : Boolean (see example)
Allows selection of chart elements. Default: false
selection.multiple : Boolean (see example)
Allows selection of multiple chart elements if selection is enabled at all. Default: false
Callback whenever a new selection is added.
Callback whenever a selection is removed.
Contains an array with all selected points of the chart:
Multichart (line, spline, bar, scatter):
{
value: VALUE,
id: COLUMN_NAME,
index: X_AXIS_INDEX
}
Pie-, Donut chart: (Currently adding a selection in the Array will not add the selection in the chart)
{
id: COLUMN_NAME,
values: [ALL_COLUMN_VALUES]
}
Triggered when you click on a data point.
Sample: function(d, element) { console.log('Point at', d.x, 'of the serie', d.name 'has been clicked; corresponding htmlElement:', element) };
Call this function to trigger the c3 resize() function (http://c3js.org/samples/api_resize.html)
We use Karma and jshint to ensure the quality of the code. The easiest way to run these checks is to use grunt:
npm install -g bower grunt-cli
npm install
grunt
Please submit all pull requests the against develop branch. Make sure it passes the CI and add tests to cover your code . Thanks!
Max Klenk
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The MIT License
Copyright (c) 2014 Max Klenk
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