# viser [![npm](https://img.shields.io/npm/v/viser.svg)](https://www.npmjs.com/package/viser) [![Dependency Status](https://david-dm.org/viserjs/viser.svg?path=packages/viser)](https://david-dm.org/viserjs/viser.svg?path=packages/viser)

> A toolkit fit for data vis engineer.

## Install

```sh
$ npm install --save viser
```

## Usage

```jsx
import viser from 'viser';
const DataSet = require('@antv/data-set');

const sourceData = [
  { month: 'Jan', Tokyo: 7.0, London: 3.9 },
  { month: 'Feb', Tokyo: 6.9, London: 4.2 },
  { month: 'Mar', Tokyo: 9.5, London: 5.7 },
  { month: 'Apr', Tokyo: 14.5, London: 8.5 },
  { month: 'May', Tokyo: 18.4, London: 11.9 },
  { month: 'Jun', Tokyo: 21.5, London: 15.2 },
  { month: 'Jul', Tokyo: 25.2, London: 17.0 },
  { month: 'Aug', Tokyo: 26.5, London: 16.6 },
  { month: 'Sep', Tokyo: 23.3, London: 14.2 },
  { month: 'Oct', Tokyo: 18.3, London: 10.3 },
  { month: 'Nov', Tokyo: 13.9, London: 6.6 },
  { month: 'Dec', Tokyo: 9.6, London: 4.8 },
];

const dv = new DataSet.View().source(sourceData);
dv.transform({
  type: 'fold',
  fields: ['Tokyo', 'London'],
  key: 'city',
  value: 'temperature',
});
const data = dv.rows;

viser({
  data,
  axis: true,
  legend: true,
  tooltip: true,
  series: [{
    quickType: 'smoothLine',
    position: 'month*temperature',
    color: "city",
    size: 2,
  }, {
    quickType: 'point',
    position: 'month*temperature',
    color: "city",
    size: 4,
    style: {
      stroke: '#fff',
      lineWidth: 1,
    },
  }],
  chart: {
    container: 'mountNode',
    width: 800,
    height: 400,
  },
});
```