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@antv/g2plot

v2.4.35

Published

An interactive and responsive charting library

Readme

English | 简体中文

基于 G2 4.x 版本二次封装的图表库。

Version NPM downloads Latest commit build Status coverage Percentage of issues still open Average time to resolve an issue

📢 新版本 G2 v5 已经发布,未来不会基于 G2 v5 封装 G2Plot v3 版本,但是可以使用 Ant Design Charts 代替。

一套简单、易用、并具备一定扩展能力和组合能力的统计图表库,基于图形语法理论搭建而成,『G2Plot』中的 G2 即意指图形语法 (the Grammar of Graphics),同时也致敬了 ggplot2。我们想做的事有三件:

  1. 使用户不用成为可视化专家也能够轻松制作出优雅美观的图表。
  2. 保证图表能够经受得起业务的检验,在真实的场景中易用、好用。
  3. 探索统计图表的更多可能性,使统计图表变得更好玩、更酷。

✨ 特性

📦 开箱即用、体验优雅的高质量统计图表

G2Plot 呈现给用户的是一套提炼自企业级产品的视觉语言和设计规范。不仅对图表的整体视觉样式进行了优化,并且针对每一个图表自身的特点,沉淀出一套最佳配置,保证用户能够通过最少的配置制作出优雅、标准的图表。

📊 响应式:让图表更聪明

在现实的图表应用场景中,一个棘手的难题是图表的展示空间往往并不足够显示图表的数据量,造成极值情况下文本的重叠遮挡、内容无法自适应、内容裁剪等问题。G2Plot 借鉴宽容性设计的思想,在图表的信息密度过高时,对图表辅助信息进行抽稀,保证图表主要信息的展示和基本可读性。

🔳 向前一步:会讲故事的图表

在 G2Plot 体系下,图表不仅仅只是各不相关的实例,图层概念的引入提供了多图表组合、叠加、联动,共同讲述一个数据故事的可能性。未来,我们还将探索统计图表转化信息图的可能性,丰富统计图表的表现能力。

📦 安装

$ npm install @antv/g2plot

🔨 使用

<div id="container"></div>
import { Bar } from '@antv/g2plot';

const data = [
  { year: '1951 年', sales: 38 },
  { year: '1952 年', sales: 52 },
  { year: '1956 年', sales: 61 },
  { year: '1957 年', sales: 145 },
  { year: '1958 年', sales: 48 },
];

const bar = new Bar('container', {
  data,
  xField: 'sales',
  yField: 'year',
  seriesField: 'year',
});

bar.render();

🤝 参与贡献

我们非常欢迎你的贡献!无论是 issue 还是 PR。

反馈问题请先阅读 issues

提交代码请遵循 贡献指引

感谢下面这些贡献者 (emoji key):

🔗 相关链接

ChartCube - 基于 G2Plot 的在线图表制作工具,交互简单,一键导出图表代码!

许可证

MIT