72 lines
1.6 KiB
Markdown
72 lines
1.6 KiB
Markdown
# viser-vue [](https://www.npmjs.com/package/viser-vue) [](https://david-dm.org/viserjs/viser-vue.svg?path=packages/viser-vue)
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> A toolkit fit for data vis engineer (vue version).
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## Install
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```sh
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$ npm install --save viser-vue
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```
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## Usage
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```vue
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<template>
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<div>
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<v-chart :force-fit="true" :height="height" :data="data" :scale="scale">
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<v-tooltip />
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<v-axis />
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<v-smooth-line position="month*temperature" color="city" :size="2" />
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</v-chart>
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</div>
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</template>
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<script>
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const DataSet = require('@antv/data-set');
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const sourceData = [
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{ month: 'Jan', Tokyo: 7.0, London: 3.9 },
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{ month: 'Feb', Tokyo: 6.9, London: 4.2 },
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{ month: 'Mar', Tokyo: 9.5, London: 5.7 },
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{ month: 'Apr', Tokyo: 14.5, London: 8.5 },
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{ month: 'May', Tokyo: 18.4, London: 11.9 },
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{ month: 'Jun', Tokyo: 21.5, London: 15.2 },
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{ month: 'Jul', Tokyo: 25.2, London: 17.0 },
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{ month: 'Aug', Tokyo: 26.5, London: 16.6 },
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{ month: 'Sep', Tokyo: 23.3, London: 14.2 },
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{ month: 'Oct', Tokyo: 18.3, London: 10.3 },
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{ month: 'Nov', Tokyo: 13.9, London: 6.6 },
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{ month: 'Dec', Tokyo: 9.6, London: 4.8 },
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];
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const dv = new DataSet.View().source(sourceData);
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dv.transform({
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type: 'fold',
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fields: ['Tokyo', 'London'],
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key: 'city',
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value: 'temperature',
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});
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const data = dv.rows;
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const scale = [{
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dataKey: 'percent',
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min: 0,
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formatter: '.2%',
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}];
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export default {
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data() {
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return {
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data,
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scale,
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height: 400,
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};
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}
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};
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</script>
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<style scoped>
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</style>
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```
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