mirror of
https://github.com/VisActor/VTable
synced 2024-11-22 01:52:03 +00:00
153 lines
3.8 KiB
Markdown
153 lines
3.8 KiB
Markdown
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<div align="center">
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<a href="" target="_blank">
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<img alt="VisActor Logo" width="200" src="https://github.com/VisActor/.github/blob/main/profile/500_200.svg"/>
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</a>
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</div>
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<div align="center">
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<h1>VTable</h1>
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</div>
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<div align="center">
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VTable is not just a high-performance multidimensional data analysis table, but also a grid artist that creates art between rows and columns.
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<p align="center">
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<a href="">Introduction</a> •
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<a href="">demo</a> •
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<a href="">Tutorial</a> •
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<a href="">API</a>•
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</p>
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[![npm Version](https://img.shields.io/npm/v/@visactor/vtable.svg)](https://www.npmjs.com/package/@visactor/vtable)
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[![npm Download](https://img.shields.io/npm/dm/@visactor/vtable.svg)](https://www.npmjs.com/package/@visactor/vtable)
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[![license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/visactor/vtable/blob/main/LICENSE)
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</div>
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<div align="center">
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English| [简体中文](./README.zh-CN.md)
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</div>
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<div align="center">
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(video)
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</div>
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# Introduction
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VTable is based on visual rendering engine [VRender](https://github.com/VisActor/VRender).
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The core capabilities are as follows:
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1. Extreme performance: Supports fast computation and rendering of millions of data points.
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2. Multidimensional analysis: Automatically analyzes and presents multidimensional data.
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3. Strong expressiveness: Provides flexible and powerful graphic capabilities, seamlessly integrating with charts of [VChart](https://github.com/VisActor/VChart).
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# Repo Intro
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This repository includes the following packages:
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1. vtable: VTable components
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2. vtable-docs: VTable documentation
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# Usage
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## Installation
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[npm package](https://www.npmjs.com/package/@visactor/vtable)
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```bash
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// npm
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npm install @visactor/vtable
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// yarn
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yarn add @visactor/vtable
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```
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## Quick Start
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```javascript
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import * as VTable from '@visactor/vtable';
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const columns =[
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{
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"field": "230517143221027",
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"caption": "Order ID",
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},
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{
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"field": "230517143221030",
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"caption": "Customer ID",
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},
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{
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"field": "230517143221032",
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"caption": "Product Name",
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},
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{
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"field": "230517143221040",
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"caption": "Sales",
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},
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{
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"field": "230517143221041",
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"caption": "Profit",
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}
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];
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const option = {
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parentElement: document.getElementById(Table_CONTAINER_DOM_ID),
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records:[
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{
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"230517143221027": "CA-2018-156720",
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"230517143221030": "JM-15580",
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"230517143221032": "Bagged Rubber Bands",
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"230517143221040": "3.024",
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"230517143221041": "-0.605"
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},
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{
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"230517143221027": "CA-2018-115427",
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"230517143221030": "EB-13975",
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"230517143221032": "GBC Binding covers",
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"230517143221040": "20.72",
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"230517143221041": "6.475"
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},
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...
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],
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columns,
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widthMode:'standard'
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};
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const tableInstance = new VTable.ListTable(option);
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```
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##
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[More demos and detailed tutorials](https://visactor.io/vtable)
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# Related Links
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- [Official website](https://visactor.io/vtable)
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# Ecosystem
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| Project | Description |
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| ----------------------------------------------------------- | -------------------------------------------------------------------------------------- |
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| [AI-generated Components](https://visactor.io/ai-vtable) | AI-generated table component. |
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# Contribution
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If you would like to contribute, please read the [Code of Conduct ](./CODE_OF_CONDUCT.md) 和 [ Guide](./CONTRIBUTING.zh-CN.md) first。
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Small streams converge to make great rivers and seas!
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<a href="https://github.com/visactor/vtable/graphs/contributors"><img src="https://contrib.rocks/image?repo=visactor/vtable" /></a>
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# License
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[MIT License](./LICENSE)
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