all files / src/visualizations/ histogram.js

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import d3 from 'd3';
import nv from 'nvd3';
import { getColorFromScheme } from '../modules/colors';
 
require('./histogram.css');
 
function histogram(slice, payload) {
  const data = payload.data;
  const div = d3.select(slice.selector);
  const numBins = Number(slice.formData.link_length) || 10;
  const normalized = slice.formData.normalized;
  const xAxisLabel = slice.formData.x_axis_label;
  const yAxisLabel = slice.formData.y_axis_label;
  const opacity = slice.formData.global_opacity;
 
  const draw = function () {
    // Set Margins
    const margin = {
      top: 50,
      right: 10,
      bottom: 20,
      left: yAxisLabel ? 70 : 50,
    };
    const navBarHeight = 36;
    const navBarBuffer = 10;
    const width = slice.width() - margin.left - margin.right;
    const height = slice.height() - margin.top - margin.bottom - navBarHeight - navBarBuffer;
 
    // set number of ticks
    const maxTicks = 20;
    const numTicks = d3.min([maxTicks, numBins]);
 
    // Set Histogram objects
    const x = d3.scale.linear();
    const y = d3.scale.linear();
    const xAxis = d3.svg.axis()
    .scale(x)
    .orient('bottom')
    .ticks(numTicks, 's');
    const yAxis = d3.svg.axis()
    .scale(y)
    .orient('left')
    .ticks(numTicks, 's');
 
    // Set the x-values
    const max = d3.max(data, d => d3.max(d.values));
    const min = d3.min(data, d => d3.min(d.values));
    x.domain([min, max])
    .range([0, width], 0.1);
 
    // Calculate bins for the data
    let bins = [];
    data.forEach((d) => {
      let b = d3.layout.histogram().bins(numBins)(d.values);
      const color = getColorFromScheme(d.key, slice.formData.color_scheme);
      const w = d3.max([(x(b[0].dx) - x(0)) - 1, 0]);
      const key = d.key;
      // normalize if necessary
      if (normalized) {
        const total = d.values.length;
        b = b.map(v => ({ ...v, y: v.y / total }));
      }
      bins = bins.concat(b.map(v => ({ ...v, color, width: w, key, opacity })));
    });
 
    // Set the y-values
    y.domain([0, d3.max(bins, d => d.y)])
    .range([height, 0]);
 
    // Create the svg value with the bins
    const svg = div.selectAll('svg')
    .data([bins])
    .enter()
    .append('svg');
 
    // Make a rectangular background fill
    svg.append('rect')
    .attr('width', '100%')
    .attr('height', '100%')
    .attr('fill', '#f6f6f6');
 
    // Transform the svg to make space for the margins
    const gEnter = svg
    .append('g')
    .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');
 
    // Add the bars and the x axis
    gEnter.append('g').attr('class', 'bars');
    gEnter.append('g').attr('class', 'x axis');
 
    // Add width and height to the svg
    svg.attr('width', slice.width())
    .attr('height', slice.height());
 
    // make legend
    const legend = nv.models.legend()
      .color(d => getColorFromScheme(d.key, slice.formData.color_scheme))
      .width(width);
    const gLegend = gEnter.append('g').attr('class', 'nv-legendWrap')
    .attr('transform', 'translate(0,' + (-margin.top) + ')')
    .datum(data.map(d => ({ ...d, disabled: false })));
 
    // function to draw bars and legends
    function update(selectedBins) {
      // Create the bars in the svg
      const bar = svg.select('.bars')
        .selectAll('rect')
        .data(selectedBins, d => d.key + d.x);
      // Set the Height and Width for each bar
      bar.enter()
        .append('rect')
        .attr('width', d => d.width)
        .attr('x', d => x(d.x))
        .style('fill', d => d.color)
        .style('fill-opacity', d => d.opacity)
        .attr('y', d => y(d.y))
        .attr('height', d => y.range()[0] - y(d.y));
      bar.exit()
        .attr('y', y(0))
        .attr('height', 0)
        .remove();
      // apply legend
      gLegend.call(legend);
    }
 
    update(bins);
 
    // Update the x-axis
    svg.append('g')
    .attr('class', 'axis')
    .attr('transform', 'translate(' + margin.left + ',' + (height + margin.top) + ')')
    .text('values')
    .call(xAxis);
 
    // Update the Y Axis and add minor lines
    svg.append('g')
    .attr('class', 'axis')
    .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
    .text('count')
    .call(yAxis)
    .selectAll('g')
    .filter(function (d) { return d; })
    .classed('minor', true);
 
    // set callback on legend toggle
    legend.dispatch.on('stateChange', function (newState) {
      const activeKeys = data
      .filter((d, i) => !newState.disabled[i])
      .map(d => d.key);
      update(bins.filter(d => activeKeys.indexOf(d.key) >= 0));
    });
 
    // add axis labels if passed
    if (xAxisLabel) {
      svg.append('text')
        .attr('transform',
              'translate(' + ((width + margin.left) / 2) + ' ,' +
                             (height + margin.top + 50) + ')')
        .style('text-anchor', 'middle')
        .text(xAxisLabel);
    }
    if (yAxisLabel) {
      svg.append('text')
        .attr('transform', 'rotate(-90)')
        .attr('y', '1em')
        .attr('x', 0 - (height / 2))
        .attr('dy', '1em')
        .style('text-anchor', 'middle')
        .text(yAxisLabel);
    }
  };
 
  div.selectAll('*').remove();
  draw();
}
 
module.exports = histogram;