@antv/g2

What is @antv/g2?

@antv/g2 is a powerful and flexible data visualization library for creating a wide range of charts and graphs. It is designed to be highly customizable and supports a variety of chart types, including bar charts, line charts, pie charts, and more. The library is built on top of the AntV visualization ecosystem and provides a declarative syntax for defining visualizations.

What are @antv/g2's main functionalities?

Bar Chart

This code creates a simple bar chart using the @antv/g2 library. It defines a dataset and uses the `interval` geometry to create bars representing the data.

const { Chart } = require('@antv/g2');
const data = [
  { genre: 'Sports', sold: 275 },
  { genre: 'Strategy', sold: 115 },
  { genre: 'Action', sold: 120 },
  { genre: 'Shooter', sold: 350 },
  { genre: 'Other', sold: 150 }
];
const chart = new Chart({ container: 'container', autoFit: true, height: 500 });
chart.data(data);
chart.interval().position('genre*sold');
chart.render();

Line Chart

This code creates a line chart using the @antv/g2 library. It defines a dataset and uses the `line` geometry to create a line representing the data over time.

const { Chart } = require('@antv/g2');
const data = [
  { year: '1991', value: 3 },
  { year: '1992', value: 4 },
  { year: '1993', value: 3.5 },
  { year: '1994', value: 5 },
  { year: '1995', value: 4.9 },
  { year: '1996', value: 6 },
  { year: '1997', value: 7 },
  { year: '1998', value: 9 },
  { year: '1999', value: 13 }
];
const chart = new Chart({ container: 'container', autoFit: true, height: 500 });
chart.data(data);
chart.scale({ year: { range: [0, 1] }, value: { min: 0 } });
chart.line().position('year*value');
chart.render();

Pie Chart

This code creates a pie chart using the @antv/g2 library. It defines a dataset and uses the `interval` geometry with a `theta` coordinate to create slices representing the data.

const { Chart } = require('@antv/g2');
const data = [
  { item: 'A', count: 40 },
  { item: 'B', count: 21 },
  { item: 'C', count: 17 },
  { item: 'D', count: 13 },
  { item: 'E', count: 9 }
];
const chart = new Chart({ container: 'container', autoFit: true, height: 500 });
chart.data(data);
chart.coordinate('theta', { radius: 0.75 });
chart.interval().position('count').color('item').adjust('stack');
chart.render();

Other packages similar to @antv/g2

chart.js

Chart.js is a popular open-source library for creating simple yet flexible charts. It supports a variety of chart types, including bar, line, and pie charts. Compared to @antv/g2, Chart.js is easier to get started with but may lack some of the advanced customization options.

d3

D3.js is a powerful library for creating complex and highly customizable data visualizations. It provides low-level building blocks for creating a wide range of visualizations. Compared to @antv/g2, D3.js offers more control and flexibility but has a steeper learning curve.

highcharts

Highcharts is a commercial charting library that offers a wide range of chart types and extensive customization options. It is known for its high-quality visualizations and ease of use. Compared to @antv/g2, Highcharts provides more out-of-the-box features but requires a license for commercial use.

README

English | 简体中文

G2 5.0

简洁的渐进式可视化语法

介绍 • 案例 • 教程 • API

G2 起源于 Leland Wilkinson 的图形语法：《The Grammar of Graphics》，但又不止于图形语法。

✨ 特色

• 渐进式语法：结合工业和学术实践，实现图形语法、动画语法和交互语法。
• 丰富的标记：内置 10+ 基础标记，8+ 高阶标记。
• 高可扩展性：提供统一机制扩展所有可视化组件。
• 个性化风格：支持手绘、圆角、纹理等风格。
• 多环境渲染：支持 Canvas、SVG 以及 WebGL，和 Node.js 服务端渲染。

🔨 开始使用

可以通过 NPM 或 Yarn 等包管理器来安装。

$ npm install @antv/g2@next

$ yarn add @antv/g2@next

成功安装之后，可以通过 import 导入 Chart 对象。

<div id="container"></div>

import { Chart } from '@antv/g2';

// 准备数据
const data = [
  { genre: 'Sports', sold: 275 },
  { genre: 'Strategy', sold: 115 },
  { genre: 'Action', sold: 120 },
  { genre: 'Shooter', sold: 350 },
  { genre: 'Other', sold: 150 },
];

// 初始化图表实例
const chart = new Chart({
  container: 'container',
  theme: 'classic',
});

// 声明可视化
chart
  .interval() // 创建一个 Interval 标记
  .data(data) // 绑定数据
  .encode('x', 'genre') // 编码 x 通道
  .encode('y', 'sold'); // 编码 y 通道

// 渲染可视化
chart.render();

如果一切顺利，你可以得到下面的柱状图!

📮 参与贡献

• 问题： 报告 bug 或者提出需求
• 贡献指南：参与建设 G2
• 讨论：在 Github 上或者钉钉群里面讨论（30233731, 35686967, 44788198）

📄 许可证

MIT@AntV.