What is react-chartjs-2?
The react-chartjs-2 npm package is a React wrapper for Chart.js, a popular JavaScript library for creating simple yet flexible charts. It allows developers to create various types of charts such as line, bar, radar, doughnut, and pie charts, among others, with ease. The package provides React components that encapsulate Chart.js functionality, making it easy to integrate into React applications.
What are react-chartjs-2's main functionalities?
Line Chart
This code sample demonstrates how to create a simple line chart using react-chartjs-2. It includes a dataset for monthly sales and configures the chart to start the y-axis at zero.
{"import { Line } from 'react-chartjs-2';\n\nconst data = {\n labels: ['January', 'February', 'March', 'April', 'May', 'June'],\n datasets: [{\n label: 'Monthly Sales',\n data: [65, 59, 80, 81, 56, 55],\n fill: false,\n borderColor: 'rgb(75, 192, 192)',\n tension: 0.1\n }]\n};\n\nconst options = {\n scales: {\n y: {\n beginAtZero: true\n }\n }\n};\n\nfunction MyLineChart() {\n return <Line data={data} options={options} />;\n}"}
Bar Chart
This code sample shows how to create a bar chart with react-chartjs-2. It sets up a dataset with different colors for each bar representing votes for different options.
{"import { Bar } from 'react-chartjs-2';\n\nconst data = {\n labels: ['Red', 'Blue', 'Yellow', 'Green', 'Purple', 'Orange'],\n datasets: [{\n label: 'Votes',\n data: [12, 19, 3, 5, 2, 3],\n backgroundColor: [\n 'rgba(255, 99, 132, 0.2)',\n 'rgba(54, 162, 235, 0.2)',\n 'rgba(255, 206, 86, 0.2)',\n 'rgba(75, 192, 192, 0.2)',\n 'rgba(153, 102, 255, 0.2)',\n 'rgba(255, 159, 64, 0.2)'\n ],\n borderColor: [\n 'rgba(255, 99, 132, 1)',\n 'rgba(54, 162, 235, 1)',\n 'rgba(255, 206, 86, 1)',\n 'rgba(75, 192, 192, 1)',\n 'rgba(153, 102, 255, 1)',\n 'rgba(255, 159, 64, 1)'\n ],\n borderWidth: 1\n }]\n};\n\nfunction MyBarChart() {\n return <Bar data={data} />;\n}"}
Doughnut Chart
This code sample illustrates how to create a doughnut chart using react-chartjs-2. It includes a dataset with three segments, each with its own color.
{"import { Doughnut } from 'react-chartjs-2';\n\nconst data = {\n labels: ['Red', 'Blue', 'Yellow'],\n datasets: [{\n data: [300, 50, 100],\n backgroundColor: [\n '#FF6384',\n '#36A2EB',\n '#FFCE56'\n ],\n hoverBackgroundColor: [\n '#FF6384',\n '#36A2EB',\n '#FFCE56'\n ]\n }]\n};\n\nfunction MyDoughnutChart() {\n return <Doughnut data={data} />;\n}"}
Other packages similar to react-chartjs-2
recharts
Recharts is a composable charting library built on React components. It uses D3.js under the hood for sophisticated charting capabilities. Compared to react-chartjs-2, Recharts offers a more React-friendly API with the ability to compose charts using declarative components.
victory
Victory is another React chart library that provides an extensive collection of composable components for building interactive data visualizations. Victory charts are highly customizable and can be styled using standard inline styles, which might appeal to developers looking for a more integrated React experience compared to react-chartjs-2.
nivo
Nivo provides a rich set of dataviz components built on top of D3.js, with a strong emphasis on motion and interactivity. It offers a higher level of abstraction compared to react-chartjs-2 and includes a wide range of chart types with beautiful default styles and animations.
react-chartjs-2
React wrapper for Chart.js
Getting started
Install library with peer dependencies
npm install --save react-chartjs-2 chart.js
yarn add react-chartjs-2 chart.js
We recommend using chart.js ^3.0.0
Usage
import { Doughnut } from 'react-chartjs-2';
<Doughnut data={...} />
Examples
Live: reactchartjs.github.io/react-chartjs-2
See these examples for more information
Configure
Chart props
id?: string;
className?: string;
height?: number;
width?: number;
redraw?: boolean;
type: Chart.ChartType
data: Chart.ChartData | (canvas: HTMLCanvasElement | null) => Chart.ChartData;
options?: Chart.ChartOptions;
fallbackContent?: React.ReactNode;
plugins?: Chart.PluginServiceRegistrationOptions[];
getDatasetAtEvent?: (dataset: Array<{}>, event: React.MouseEvent<HTMLCanvasElement>) => void;
getElementAtEvent?: (element: [{}], event: React.MouseEvent<HTMLCanvasElement>) => void;
getElementsAtEvent?: (elements: Array<{}>, event: React.MouseEvent<HTMLCanvasElement>) => void;
id
Type string
Default: undefined
ID attribute applied to the rendered canvas
className
Type string
Default: undefined
class attribute applied to the rendered canvas
height
Type: number
Default: 150
Height attribute applied to the rendered canvas
width
Type: number
Default: 300
Width attribute applied to the rendered canvas
redraw
Type: boolean
Default: false
If true, will tear down and redraw chart on all updates
type
Type: 'line' | 'bar' | 'horizontalBar' | 'radar' | 'doughnut' | 'polarArea' | 'bubble' | 'pie' | 'scatter'
Chart.js chart type (required only on ChartComponent)
data (required)
Type: Chart.ChartData | (canvas: HTMLCanvasElement | null) => Chart.ChartData
The data object that is passed into the Chart.js chart (more info).
This can also be a function, that receives a canvas element and returns the data object.
const data = canvas => {
const ctx = canvas.getContext('2d');
const g = ctx.createLinearGradient(...);
return {
datasets: [{
backgroundColor: g,
}],
};
}
options
Type: Chart.ChartOptions
The options object that is passed into the Chart.js chart (more info)
fallbackContent
Type: React.ReactNode
A fallback for when the canvas cannot be rendered. Can be used for accessible chart descriptions (more info)
plugins
Type: Chart.PluginServiceRegistrationOptions[]
The plugins array that is passed into the Chart.js chart (more info)
getDatasetAtEvent
Type: (dataset: Array<{}>, event: React.MouseEvent<HTMLCanvasElement>) => void
Default: undefined
Proxy for Chart.js getDatasetAtEvent
. Calls with dataset and triggering event
getElementAtEvent
Type: (element: [{}], event: React.MouseEvent<HTMLCanvasElement>) => void
Default: undefined
Proxy for Chart.js getElementAtEvent
. Calls with single element array and triggering event
getElementsAtEvent
Type: (elements: Array<{}>, event: React.MouseEvent<HTMLCanvasElement>) => void
Default: undefined
Proxy for Chart.js getElementsAtEvent
. Calls with element array and triggering event
FAQ
Why doesn't my chart maintain it's width/height?
In order for Chart.js to obey the custom size you need to set maintainAspectRatio
to false
<Bar
data={data}
width={100}
height={50}
options={{ maintainAspectRatio: false }}
/>
How do I access my chart's instance?
The Chart.js instance can be accessed by placing a ref to the element as:
const App => {
const ref = useRef();
return <Doughnut ref={ref} data={data} options={options} />;
};
How do I acess the canvas context?
The canvas node and hence context can be accessed within the data function.
This approach is useful when you want to keep your components pure.
render() {
const data = (canvas) => {
const ctx = canvas.getContext('2d')
const gradient = ctx.createLinearGradient(0,0,100,0);
return {
backgroundColor: gradient
}
}
return <Line data={data} />;
}
Additional Information
Defaults
Chart.js defaults can be set by importing the defaults
object:
import { defaults } from 'react-chartjs-2';
defaults.animation = false;
If you want to bulk set properties, try using the lodash.merge function. This function will do a deep recursive merge preserving previously set values that you don't want to update.
import { defaults } from 'react-chartjs-2';
import merge from 'lodash.merge';
merge(defaults, {
animation: false,
line: {
borderColor: '#F85F73',
}
});
``` -->
<!-- ### Chart.js object
You can access the internal Chart.js object to register plugins or extend charts like this:
```JavaScript
import { Chart } from 'react-chartjs-2';
componentWillMount() {
Chart.register({
afterDraw: function (chart, easing) {
}
});
}
Working with Multiple Datasets
You will find that any event which causes the chart to re-render, such as hover tooltips, etc., will cause the first dataset to be copied over to other datasets, causing your lines and bars to merge together. This is because to track changes in the dataset series, the library needs a key
to be specified - if none is found, it can't tell the difference between the datasets while updating. To get around this issue, you can take these two approaches:
- Add a
label
property on each dataset. By default, this library uses the label
property as the key to distinguish datasets. - Specify a different property to be used as a key by passing a
datasetKeyProvider
prop to your chart component, which would return a unique string value for each dataset.
Development
NOTE: The source code for the component is in src
. A transpiled CommonJS version (generated with Babel) is available in dist
for use with node.js, browserify and webpack. A UMD bundle is also built to dist
, which can be included without the need for any build system.
License
MIT Licensed
Copyright (c) 2020 Jeremy Ayerst