Charts
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documentation of other Sencha products. The sections below describe
documentation for all products except where indicated as unique to
ExtReact.
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The Chart package consists of a hierarchy of classes that provide data visualization functionality. These include series, axes, interactions, and mechanisms for implementing markers and legends. This guide provides an overview on how these classes are tied together and what functionality is included in each class. The following sections cover the specific axes, series, and interactions.
All types of Chart components are extended from the AbstractChart class, which extends
Ext.draw.Container. A Chart component is the container for managing series and
axes. It is responsible for laying out the series and axes every time the size is
changed. An implementation of the abstract class must override the performLayout
method. For example, a Chart needs to respond to the changes of the thickness of the
axes and recalculate the series area.
There are three types of charts:
Cartesian Charts are the most commonly used and are mapped to the xtype of 'chart'. Setting an xtype of
'chart' makes the assumption that you want a Bar, Line, Scatter, or
Area Chart. Other types of Charts can be specified as 'polar' or 'spacefilling'.
A Chart component manages the following items:
We provide Ext.chart.axis.Axis to represent all kinds of axes. The axis object works differently according to the its docking position.
Axes help series to map data values into coordinates. They are bound to the type of data that needs to be represented.
The behavior of an axis can be easily changed by setting different types of axis layout and axis segmenter to the axis.
Series is an abstract class extended by concrete visualizations, such as Line Series, Bar Series, or Scatter Series.
The Series class itself contains code that is common to all of these series, such as event handling, highlighting, markers, labels, and so on.
The following sections describe available series types. It also shows a complete series configuration example, including the Chart, Axis, and Series options. For more specific information, see the Series documentation.
The Area series creates a stacked area Chart, which is typically used to display multiple aggregated layers of information. Similar to other series, the Area series must be added into the series config of the Chart.
You can specify multiple y fields on a stacked series such as Area series and Bar series.
import React, { Component } from 'react';
import { Cartesian } from '@sencha/ext-charts';
import { ExtReact } from '@sencha/ext-react';
export default class MyExample extends Component {
store = Ext.create('Ext.data.Store', {
fields: ['name', 'data1', 'data2', 'data3'],
data: [
{ 'name': 'metric one', 'data1': 10, 'data2': 12, 'data3': 14 },
{ 'name': 'metric two', 'data1': 7, 'data2': 8, 'data3': 16 },
{ 'name': 'metric three', 'data1': 5, 'data2': 2, 'data3': 14 },
{ 'name': 'metric four', 'data1': 2, 'data2': 14, 'data3': 6 },
{ 'name': 'metric five', 'data1': 27, 'data2': 38, 'data3': 36 }
]
})
render() {
return (
<ExtReact>
<Cartesian
store={this.store}
series={[{
type: 'area',
xField: 'name',
yField: ['data1', 'data2', 'data3']
}]}
axes={[{
type: 'category',
position: 'bottom',
fields: ['name'],
title: {
text: 'Sample Values',
fontSize: 15
}
}]}
/>
</ExtReact>
)
}
}
The Bar series creates a stackable or group-able bar Chart, which is typically used to display categorized numeric data that shows progression or regression. Note that opposed to the old chart package, a Bar series refers to a vertical bar series, or a column series. You can obtain the horizontal configuration by setting flipXY to true the Chart.
A Bar series can either be stacked or grouped. You can set the stacked config on the series to false in order to switch the series to the grouped mode.
import React, { Component } from 'react';
import { ExtReact } from '@sencha/ext-react';
import { Cartesian } from '@sencha/ext-charts';
export default class MyExample extends Component {
store = Ext.create('Ext.data.Store', {
fields: ['name', 'data1', 'data2', 'data3'],
data: [
{ 'name': 'metric one', 'data1': 10 },
{ 'name': 'metric two', 'data1': 7 },
{ 'name': 'metric three', 'data1': 5 },
{ 'name': 'metric four', 'data1': 2 },
{ 'name': 'metric five', 'data1': 2 }
]
})
render() {
return (
<ExtReact>
<Cartesian
store={this.store}
series={[{
type: 'bar',
xField: 'name',
yField: 'data1'
}]}
axes={[{
type: 'category',
position: 'bottom',
fields: ['name'],
title: {
text: 'Sample Values',
fontSize: 15
}
},{
type: 'numeric',
position: 'left',
fields: 'data1'
}]}
/>
</ExtReact>
)
}
}
The Line series creates a line Chart, an alternative to a bar Chart, for showing categorized numeric data that shows progression or regression.
import React, { Component } from 'react';
import { ExtReact } from '@sencha/ext-react';
import { Cartesian } from '@sencha/ext-charts';
export default class MyExample extends Component {
store = Ext.create('Ext.data.Store', {
fields: ['name', 'data1', 'data2', 'data3'],
data: [
{ name: 'metric one', data1: 14, data2: 19 },
{ name: 'metric two', data1: 16, data2: 7 },
{ name: 'metric three', data1: 11, data2: 25 },
{ name: 'metric four', data1: 6, data2: 4 },
{ name: 'metric five', data1: 36, data2: 12 }
]
})
render() {
return (
<ExtReact>
<Cartesian
store={this.store}
interactions={['rotate']}
axes={[{
type: 'numeric',
position: 'left',
fields: ['data1'],
title: {
text: 'Sample Values',
fontSize: 15
},
grid: true,
minimum: 0
}, {
type: 'category',
position: 'bottom',
fields: ['name'],
title: {
text: 'Sample Values',
fontSize: 15
}
}]}
series={[{
type: 'line',
style: {
stroke: '#30BDA7',
lineWidth: 2
},
xField: 'name',
yField: 'data1',
marker: {
type: 'path',
path: ['M', - 4, 0, 0, 4, 4, 0, 0, - 4, 'Z'],
stroke: '#30BDA7',
lineWidth: 2,
fill: 'white'
}
}, {
type: 'line',
fill: true,
style: {
fill: '#96D4C6',
fillOpacity: .6,
stroke: '#0A3F50',
strokeOpacity: .6,
},
xField: 'name',
yField: 'data2',
marker: {
type: 'circle',
radius: 4,
lineWidth: 2,
fill: 'white'
}
}]}
/>
</ExtReact>
)
}
}
The Pie series creates a pie Chart, a great way to display quantitative information for a number of categories that also have a meaning as a whole, for example, all 12 months of a given year.
import React, { Component } from 'react';
import { ExtReact } from '@sencha/ext-react';
import { Polar } from '@sencha/ext-charts';
export default class MyExample extends Component {
store = Ext.create('Ext.data.Store', {
fields: ['name', 'data1'],
data: [
{ name: 'metric one', data1: 14 },
{ name: 'metric two', data1: 16 },
{ name: 'metric three', data1: 14 },
{ name: 'metric four', data1: 6 },
{ name: 'metric five', data1: 36 }
]
})
render() {
return (
<ExtReact>
<Polar
store={this.store}
theme="green"
interactions={['rotate']}
series={[{
type: 'pie',
angleField: 'data1',
donut: 30,
label: {
field: 'name',
display: 'rotate'
},
}]}
/>
</ExtReact>
)
}
}
The Radar series creates a radar Chart, a great way to display a comparison of different quantitative values for a constrained number of categories.
import React, { Component } from 'react';
import { ExtReact } from '@sencha/ext-react';
import { Polar } from '@sencha/ext-charts';
export default class MyExample extends Component {
store = Ext.create('Ext.data.Store', {
fields: ['name', 'data1'],
data: [
{ name: 'metric one', data1: 14 },
{ name: 'metric two', data1: 16 },
{ name: 'metric three', data1: 14 },
{ name: 'metric four', data1: 6 },
{ name: 'metric five', data1: 36 }
]
})
render() {
return (
<ExtReact>
<Polar
store={this.store}
theme="green"
interactions={['rotate']}
series={[{
type: 'radar',
angleField: 'name',
radiusField: 'data1',
style: {
fillStyle: '#388FAD',
fillOpacity: .1,
strokeStyle: '#388FAD',
strokeOpacity: .8,
lineWidth: 1
}
}]}
axes={[{
type: 'numeric',
position: 'radial',
fields: 'data1',
style: {
estStepSize: 10
},
grid: true
}, {
type: 'category',
position: 'angular',
fields: 'name',
style: {
estStepSize: 1
},
grid: true
}]}
/>
</ExtReact>
)
}
}
The Scatter series creates a scatter Chart, which enables an application to display more than two variables in the same visualization. These variables can be mapped onto x, y coordinates and also to an element's properties, such as radius, size, color, and so on.
import React, { Component } from 'react';
import { ExtReact } from '@sencha/ext-react';
import { Cartesian } from '@sencha/ext-charts';
export default class MyExample extends Component {
store = Ext.create('Ext.data.Store', {
fields: ['name', 'data1', 'data2', 'data3'],
data: [
{ name: 'metric one', data1: 14, data2: 19 },
{ name: 'metric two', data1: 16, data2: 7 },
{ name: 'metric three', data1: 11, data2: 25 },
{ name: 'metric four', data1: 6, data2: 4 },
{ name: 'metric five', data1: 36, data2: 12 }
]
})
render() {
return (
<ExtReact>
<Cartesian
store={this.store}
interactions={['rotate']}
axes={[{
type: 'numeric',
position: 'left',
fields: ['data1'],
title: {
text: 'Sample Values',
fontSize: 15
},
grid: true,
minimum: 0
}, {
type: 'category',
position: 'bottom',
fields: ['name'],
title: {
text: 'Sample Values',
fontSize: 15
}
}]}
series={[{
type: 'scatter',
highlight: {
size: 12,
radius: 12,
fill: '#96D4C6',
stroke: '#30BDA7'
},
fill: true,
xField: 'name',
yField: 'data2',
marker: {
type: 'circle',
fill: '#30BDA7',
radius: 10,
lineWidth: 0
}
}]}
/>
</ExtReact>
)
}
}
The Gauge series creates a gauge Chart, typically used to show progress in a certain variable. In addition to using stores, you can also set a value of the gauge series to show the value.
import React, { Component } from 'react';
import { ExtReact } from '@sencha/ext-react';
import { Polar } from '@sencha/ext-charts';
export default class MyExample extends Component {
store = Ext.create('Ext.data.Store', {
fields: ['name', 'data1', 'data2', 'data3'],
data: [{
mph: 65,
fuel: 50,
temp: 150,
rpm: 6000
}]
})
render() {
return (
<ExtReact>
<Polar
store={this.store}
series={[{
type: 'gauge',
angleField: 'mph',
needle: true,
donut: 30
}]}
/>
</ExtReact>
)
}
}
This section introduces the interaction features in the Sencha Charts package. By taking advantage of these features, you can create highly interactive Charts that enable users to visualize and navigate complex data sets.
To add interactions to a Chart, set the interactions config of the Chart to an array of interaction config objects. Each object must be a string or must contain a type property matching one of the interaction types described in the subsequent sections. Each object may also contain additional config options that are appropriate for a particular interaction.
You can define your own interaction by extending the
Ext.chart.interactions.Abstract class and registering the name using an alias
with the "interaction" prefix. For example, if you want to create an interaction
called "remove", create an alias of the class named "interaction.remove", then
set the type: 'remove' in the interaction config.
Here are a couple of examples of basic interactions.
The "itemhighlight" interaction enables you to highlight individual data point items on the chart.
This interaction is implemented by the Ext.chart.interactions.ItemHighlight class. See the class documentation for detailed configuration options.
The "rotate" interaction enables users to rotate a pie or a radar Chart, by default the rotation being performed using a drag gesture. The following code snippet is an example of how simple it is to add the rotate interaction to your pie or radar Charts:
interactions: ['rotate']
This interaction is implemented by the Ext.chart.interactions.Rotate class. See the class documentation for detailed configuration options.
The Chart exposes a store to represent legend information collected from series. Technically, you can do anything with this store. Again, this architecture can help you decouple the legend information from the legend component, so you can use any technology and customization for showing the legend at any desired place.
For you convenience, we also provide a default Legend component
that already implements some common and basic functionality for displaying legends. The
Chart configuration object accepts a legend section to enable the default Legend
component and dock it in the Chart. The default Legend component contains a
dock config and it is docked on that side.
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