@panter/react-charts
v2.0.0-alpha.7
Published
Charts for React
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React Charts
Simple, immersive & interactive charts for React
Features
- Line, Bar, Bubble, Area.
- Hyper Responsive (container-based)
- Powered by D3
- Rendered by React
- Flexible data model
Demos
Table of Contents
Installation
$ yarn add react-charts
# or
$ npm i react-charts --save
Quick Example
This will render a very basic line chart:
import React from "react";
import { Chart } from "react-charts";
const lineChart = (
<Chart
data={[
{
label: "Series 1",
data: [[0, 1], [1, 2], [2, 4], [3, 2], [4, 7]]
},
{
label: "Series 2",
data: [[0, 3], [1, 1], [2, 5], [3, 6], [4, 4]]
}
]}
axes={[
{ primary: true, type: "linear", position: "bottom" },
{ type: "linear", position: "left" }
]}
/>
);
Data Model
React-Charts uses a common and very flexible data model based on arrays of series and arrays of datums. You can either use the model defaults directly, or use data accessors to materialize this structure.
Typical visualization data can come in practically any shape and size. The following examples show data structures that are all reasonably equivalent at some level since they each contain an array of series[] and datums[]. They also show how to parse that data.
In the following example, there is no need to use any accessors. The default accessors are able to easily understand this format:
const data = [
{
label: "Series 1",
data: [{ x: 1, y: 10 }, { x: 2, y: 10 }, { x: 3, y: 10 }]
},
{
label: "Series 2",
data: [{ x: 1, y: 10 }, { x: 2, y: 10 }, { x: 3, y: 10 }]
},
{
label: "Series 3",
data: [{ x: 1, y: 10 }, { x: 2, y: 10 }, { x: 3, y: 10 }]
}
];
<Chart data={data} />;
In the following example, there is no need to use any accessors. The default accessors are able to easily understand this format, but please note that this format limits you from passing any meta data about your series and datums.
const data = [
[[1, 10], [2, 10], [3, 10]],
[[1, 10], [2, 10], [3, 10]],
[[1, 10], [2, 10], [3, 10]]
];
<Chart data={data} />;
Data Accessors
When data isn't in a convenient format for React Charts, your first instinct will be to transform your data into the above formats. Don't do that! There is an easier way 🎉 We can use the Chart
components' accessor props to point things in the right direction. Accessor props pass the original data and the series/datums you return down the line to form a new data model. See the <Chart>
component for all available accessors.
In the following example, the data is in a very funky format, but at it's core is the same as the previous examples.
const data = {
axis: [1, 2, 3],
lines: [
{ data: [{ value: 10 }, { value: 10 }, { value: 10 }] },
{ data: [{ value: 10 }, { value: 10 }, { value: 10 }] },
{ data: [{ value: 10 }, { value: 10 }, { value: 10 }] }
]
};
<Chart
// Pass the original data object
data={data}
// Use data.lines to represent the different series
getSeries={data => data.lines}
// Use data.lines[n].data to represent the different datums for each series
getDatums={serie => serie.data}
// Use the original data object and the datum index to reference the datum's primary value.
getPrimary={(datum, i, series, seriesIndex, data) => data.axis[i]}
// Use data.lines[n].data[n].value as each datums secondary value
getSecondary={datum => datum.value}
/>;
Series Labels
Multiple series are often useless without labels. By default, React Charts looks for the label
value on the series object you pass it. If not found, it will simply label your series as Series [n]
, where [n]
is the zero-based index
of the series, plus 1
.
If the default label accessor doesn't suit your needs, then you can use the <Chart>
component's getLabel
accessor prop:
const data = [{
specialLabel: 'Hello World!',
data: [...]
}]
<Chart data={data} getLabel={series => series.specialLabel} />
Axes & Scales
React Charts supports an axes
prop that handles both the underlying scale and visual rendering. These axes can be combined and configured to plot data in many ways. To date, we have the following scale types available:
- Cartesian
linear
- A continuous axis used for plotting numerical data on an evenly distributed scale. Works well both as a primary and secondary axis.ordinal
- A banded axis commonly used to plot categories or ordinal information. Works well as the primary axis for bar charts.time
- A continuous axis used for plotting localized times and dates on an evenly distributed scale. Works well as a primary axis.utc
- Similar to thetime
scale, but supports UTC datetimes instead of localized datetimes. Works well as a primary axis.log
- A continuous axis used for plotting numerical data on a logarithmically distributed scale. Works well as a secondary axispie
- A standalone numerical axis used for plotting arc lengths on a pie chart. Use this as the only axis when plotting a Pie chart. -->
Axes are a required component of a React Chart and can used like so:
import { Chart } from 'react-charts`
<Chart
axes={[
{ primary: true, type: "time", position: "bottom" },
{ type: "linear", position: "left" }
]}
/>
For more information on usage and API, see the axes
prop
Series Types
- Cartesian
line
area
bar
bubble
- Radial
pie
Example
<Chart series={{ curve: "cardinal" }} />
Advanced API
<Chart />
Props
getSeries()
- Responsible for returning an array of series.- Default -
() => null
- Arguments:
data
- The original
- Returns an
Object
- Default -
getLabel()
- Default -
() => null
- Arguments:
- Thing
- Returns an
Object
- Default -
getSeriesID()
- Default -
() => null
- Arguments:
- Thing
- Returns an
Object
- Default -
getDatums()
- Default -
() => null
- Arguments:
- Thing
- Returns an
Object
- Default -
getPrimary()
- Default -
() => null
- Arguments:
- Thing
- Returns an
Object
- Default -
getSecondary()
- Default -
() => null
- Arguments:
- Thing
- Returns an
Object
- Default -
Curve Types
All series types that support lines or curves can be configured to use any curve function from d3-shape
by passing one of the following strings as the curve
prop to a series component. You may also pass your own curve function directly from d3 or if you're feeling powerful, even create your own!
Note the following string correspond to their respective d3 curve functions but with the curve
prefix removed.
basisClosed
basisOpen
basis
bundle
cardinalClosed
cardinalOpen
cardinal
catmullRomClosed
catmullRomOpen
catmullRom
linearClosed
linear
monotoneX
(default)monotoneY
natural
step
stepAfter
stepBefore