@visactor/vgrammar-full

VGrammar

VGrammar, not only generate charts, but also provide data visualization tools.

Introduction • Demo • Tutorial • API• Option

English| 简体中文

（video）

Introduction

VGrammar is a visual grammar library based on visual rendering engine VRender. The core capabilities are as follows:

1. Easy to Use by Default: VGrammar features a concise syntax, comprehensive interface, rich component library, and simplified development process.
2. Rich in Capabilities: VGrammar provides extensive capabilities for chart definition, animation arrangement, artistic expression, and complete coverage of various needs.
3. Flexible and Extensible: VGrammar offers flexible extension options, including custom rendering of graphical elements, data mapping, automatic layout, and effortless expansion possibilities.

Repo Intro

This repository includes the following packages:

1. VGrammar: The main package of VGrammar

Usage

Installation

npm package

// npm
npm install @visactor/vgrammar

// yarn
yarn add @visactor/vgrammar

Quick Start

import { View } from '@visactor/vgrammar';

const spec = {
  data: [
    {
      id: 'table',
      values: [
        {
          value: 3676,
          name: ' ~ 29'
        },
        {
          value: 3872,
          name: '30 ~ 39'
        },
        {
          value: 1668,
          name: '40 ~ 49'
        },
        {
          value: 610,
          name: '50 ~'
        }
      ]
    },
    {
      id: 'pie',
      source: 'table',
      transform: [
        {
          type: 'pie',
          field: 'value',
          asStartAngle: 'startAngle',
          asEndAngle: 'endAngle'
        }
      ]
    }
  ],

  scales: [
    {
      id: 'colorScale',
      type: 'ordinal',
      domain: { data: 'table', field: 'name' },
      range: [
        '#6690F2',
        '#70D6A3',
        '#B4E6E2',
        '#63B5FC',
        '#FF8F62',
        '#FFDC83',
        '#BCC5FD',
        '#A29BFE',
        '#63C4C7',
        '#F68484'
      ]
    }
  ],

  marks: [
    {
      type: 'arc',
      from: { data: 'pie' },
      dependency: ['viewBox', 'colorScale'],
      encode: {
        update: (datum, element, params) => {
          const viewBox = params.viewBox;
          const maxR = Math.min(viewBox.width() / 2, viewBox.height() / 2);
          return {
            x: viewBox.x1 + viewBox.width() / 2,
            y: viewBox.y1 + viewBox.height() / 2,
            startAngle: datum.startAngle,
            endAngle: datum.endAngle,
            innerRadius: 100,
            outerRadius: maxR,
            fill: params.colorScale.scale(datum.name)
          };
        },
        hover: {
          fill: 'red'
        }
      }
    }
  ]
};

const vGrammarView = new View({
  autoFit: true,
  container: 'chart',
  hover: true
});
vGrammarView.parseSpec(spec);

vGrammarView.runAsync();

More demos and detailed tutorials

Related Links

• Official website

Ecosystem

Project	Description
VChart	A charts lib based on VisActor/VGrammar
React Component Library	A React chart component library based on VisActor/VChart
AI-generated Components	AI-generated chart component.

Contribution

If you would like to contribute, please read the Code of Conduct and Guide first。

Small streams converge to make great rivers and seas!

License

MIT License