viser-vue

A toolkit fit for data vis engineer (vue version).

Install

1$ npm install --save viser-vue

Usage

1<template>
2  <div>
3    <v-chart :force-fit="true" :height="height" :data="data" :scale="scale">
4      <v-tooltip />
5      <v-axis />
6      <v-smooth-line position="month*temperature" color="city" :size="2" />
7    </v-chart>
8  </div>
9</template>
10
11<script>
12const DataSet = require('@antv/data-set');
13
14const sourceData = [
15  { month: 'Jan', Tokyo: 7.0, London: 3.9 },
16  { month: 'Feb', Tokyo: 6.9, London: 4.2 },
17  { month: 'Mar', Tokyo: 9.5, London: 5.7 },
18  { month: 'Apr', Tokyo: 14.5, London: 8.5 },
19  { month: 'May', Tokyo: 18.4, London: 11.9 },
20  { month: 'Jun', Tokyo: 21.5, London: 15.2 },
21  { month: 'Jul', Tokyo: 25.2, London: 17.0 },
22  { month: 'Aug', Tokyo: 26.5, London: 16.6 },
23  { month: 'Sep', Tokyo: 23.3, London: 14.2 },
24  { month: 'Oct', Tokyo: 18.3, London: 10.3 },
25  { month: 'Nov', Tokyo: 13.9, London: 6.6 },
26  { month: 'Dec', Tokyo: 9.6, London: 4.8 },
27];
28
29const dv = new DataSet.View().source(sourceData);
30dv.transform({
31  type: 'fold',
32  fields: ['Tokyo', 'London'],
33  key: 'city',
34  value: 'temperature',
35});
36const data = dv.rows;
37
38const scale = [{
39  dataKey: 'percent',
40  min: 0,
41  formatter: '.2%',
42}];
43
44export default {
45  data() {
46    return {
47      data,
48      scale,
49      height: 400,
50    };
51  }
52};
53</script>
54
55<style scoped>
56
57</style>

Changelog

v2.6.0

• 同时支持vue2、vue3