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@data-vision/interactive-chart

v0.0.6

Published

<p align="center"> <img width="160" src="https://bytebucket.org/icefee/interactive-chart/raw/aef189e3e4799bd815ad126d97c54dd76f8fcc2a/assets/logo.png" alt="interactive chart"> <br/> A interactive chart library(0 dependence) </p>

Readme

Features

  • Built in interaction for mouse and touch, including mouse wheel, crop, pan, zoom
  • High-performance, over 100,000 data points with 60fps render
  • Easy to use, no framework limit
  • Optimize for different screen scaling ratios
  • Rich customization options

Online Demo

Online Demo

Install

// npm
npm install @data-vision/interactive-chart

// yarn
yarn add @data-vision/interactive-chart

// pnpm
pnpm add @data-vision/interactive-chart

// bun
bun add @data-vision/interactive-chart

Support Charts

Currently supports 3 types of charts:

  • Line chart

<img src="./assets/line.png" alt="line chart">

// import the library
import Line from '@data-vision/interactive-chart/line'

// get the element for mounting chart instance
const container = document.querySelector('#chart-line')

// create chart instance
const lineChart = new Line(contaner)

// 100,000 data points
var DATA_COUNT = 100_000

// create random data
const randomData = Array.from(
  { length: DATA_COUNT },
  (_, t) => Math.floor(Math.sin(t) * Math.random() * 20)
)

// set chart data
lineChart.setData([
  {
    color: 'hsl(200 100% 50%)',
    data: randomData
  },
  {
    color: 'hsl(0 100% 50%)',
    data: randomData
  }
])
  • Bar chart

<img src="./assets/bar.png" alt="bar chart">

// import the library
import Bar from '@data-vision/interactive-chart/bar'

// get the element for mounting chart instance
const container = document.querySelector('#chart-bar')

// create chart instance
const barChart = new Bar(contaner)

// 100,000 data points
var DATA_COUNT = 100_000

// create random data
const randomData = Array.from(
  { length: DATA_COUNT },
  (_, t) => Math.floor(Math.sin(t) * Math.random() * 20)
)

// set chart data
barChart.setData(
  {
    color: ['hsl(200 100% 50%)', 'hsl(0 100% 50%)'],
    data: randomData
  }
)
  • Heatmap

<img src="./assets/heatmap.png" alt="heatmap">

// import the library
import HeatMap from '@data-vision/interactive-chart/heatmap'

// get the element for mounting chart instance
const container = document.querySelector('#chart-heat')

// set text painting style
HeatMap.config.textColor = '#ccc'
// set max data cache size
HeatMap.config.maxCacheSize = 200

// create chart instance
const barChart = new HeatMap(contaner)

// 100,000 data points
var DATA_COUNT = 100_000

let i = 0
setInterval(
  () => {
    // loop make real data
    const data = Uint8ClampedArray.from({
      length: DATA_COUNT
    }, (_, j) => (j * 32 + i) % 256)
    heatMap.setData(data)
    i += 8
  },
  10
)