@visactor/vtable
Version:
canvas table width high performance
152 lines (107 loc) • 3.8 kB
Markdown
<div align="center">
<a href="" target="_blank">
<img alt="VisActor Logo" width="200" src="https://github.com/VisActor/.github/blob/main/profile/500_200.svg"/>
</a>
</div>
<div align="center">
<h1>VTable</h1>
</div>
<div align="center">
VTable is not just a high-performance multidimensional data analysis table, but also a grid artist that creates art between rows and columns.
<p align="center">
<a href="">Introduction</a> •
<a href="">demo</a> •
<a href="">Tutorial</a> •
<a href="">API</a>•
</p>
[](https://www.npmjs.com/package/@visactor/vtable)
[](https://www.npmjs.com/package/@visactor/vtable)
[](https://github.com/visactor/vtable/blob/main/LICENSE)
</div>
<div align="center">
English| [简体中文](./README.zh-CN.md)
</div>
<div align="center">
(video)
</div>
# Introduction
VTable is a canvas table library based on visual rendering engine [VRender](https://github.com/VisActor/VRender).
The core capabilities are as follows:
1. Extreme performance: Supports fast computation and rendering of millions of data points.
2. Multidimensional analysis: Automatically analyzes and presents multidimensional data.
3. Strong expressiveness: Provides flexible and powerful graphic capabilities, seamlessly integrating with charts of [VChart](https://github.com/VisActor/VChart).
# Repo Intro
This repository includes the following packages:
1. vtable: VTable components
2. vtable-docs: VTable documentation
# Usage
## Installation
[npm package](https://www.npmjs.com/package/@visactor/vtable)
```bash
// npm
npm install @visactor/vtable
// yarn
yarn add @visactor/vtable
```
## Quick Start
```javascript
import * as VTable from '@visactor/vtable';
const columns =[
{
"field": "Order ID",
"caption": "Order ID",
},
{
"field": "Customer ID",
"caption": "Customer ID",
},
{
"field": "Product Name",
"caption": "Product Name",
},
{
"field": "Sales",
"caption": "Sales",
},
{
"field": "Profit",
"caption": "Profit",
}
];
const option = {
records:[
{
"Order ID": "CA-2018-156720",
"Customer ID": "JM-15580",
"Product Name": "Bagged Rubber Bands",
"Sales": "3.024",
"Profit": "-0.605"
},
{
"Order ID": "CA-2018-115427",
"Customer ID": "EB-13975",
"Product Name": "GBC Binding covers",
"Sales": "20.72",
"Profit": "6.475"
},
...
],
columns,
widthMode:'standard'
};
const tableInstance = new VTable.ListTable(document.getElementById(CONTAINER_ID), option);
```
##
[More demos and detailed tutorials](https://visactor.io/vtable)
# Related Links
- [Official website](https://visactor.io/vtable)
# Ecosystem
| Project | Description |
| ----------------------------------------------------------- | -------------------------------------------------------------------------------------- |
| [AI-generated Components](https://visactor.io/ai-vtable) | AI-generated table component. |
# Contribution
If you would like to contribute, please read the [Code of Conduct ](./CODE_OF_CONDUCT.md) 和 [ Guide](./CONTRIBUTING.zh-CN.md) first。
Small streams converge to make great rivers and seas!
<a href="https://github.com/visactor/vtable/graphs/contributors"><img src="https://contrib.rocks/image?repo=visactor/vtable" /></a>
# License
[MIT License](./LICENSE)