packages/showcase/plot/labeled-heatmap.js

// Copyright (c) 2016 - 2017 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.

import React, {Component} from 'react';
import {scaleLinear} from 'd3-scale';

import {
  XYPlot,
  XAxis,
  YAxis,
  HeatmapSeries,
  LabelSeries,
  Hint
} from 'react-vis';

const alphabet = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J'];
const data = alphabet.reduce((acc, letter1, idx) => {
  return acc.concat(
    alphabet.map((letter2, jdx) => ({
      x: `${letter1}1`,
      y: `${letter2}2`,
      color: (idx + jdx) % Math.floor(jdx / idx) || idx
    }))
  );
}, []);
const {min, max} = data.reduce(
  (acc, row) => ({
    min: Math.min(acc.min, row.color),
    max: Math.max(acc.max, row.color)
  }),
  {min: Infinity, max: -Infinity}
);

export default class LabeledHeatmap extends Component {
  state = {
    value: false
  };

  render() {
    const {value} = this.state;
    const exampleColorScale = scaleLinear()
      .domain([min, (min + max) / 2, max])
      .range(['orange', 'white', 'cyan']);

    return (
      <XYPlot
        xType="ordinal"
        xDomain={alphabet.map(letter => `${letter}1`)}
        yType="ordinal"
        yDomain={alphabet.map(letter => `${letter}2`).reverse()}
        margin={50}
        width={500}
        height={500}
      >
        <XAxis orientation="top" />
        <YAxis />
        <HeatmapSeries
          colorType="literal"
          getColor={d => exampleColorScale(d.color)}
          style={{
            stroke: 'white',
            strokeWidth: '2px',
            rectStyle: {
              rx: 10,
              ry: 10
            }
          }}
          className="heatmap-series-example"
          data={data}
          onValueMouseOver={v => this.setState({value: v})}
          onSeriesMouseOut={() => this.setState({value: false})}
        />
        <LabelSeries
          style={{pointerEvents: 'none'}}
          data={data}
          labelAnchorX="middle"
          labelAnchorY="baseline"
          getLabel={d => `${d.color}`}
        />
        {value !== false && <Hint value={value} />}
      </XYPlot>
    );
  }
}