cl-react-graph
Version:
444 lines (397 loc) • 12.4 kB
text/typescript
import { extent } from 'd3-array';
import { axisBottom, axisLeft } from 'd3-axis';
import { scaleBand, scaleLinear, ScaleLinear, scaleOrdinal } from 'd3-scale';
import { select } from 'd3-selection';
import merge from 'deepmerge';
import * as get from 'lodash.get';
import colorScheme from './colors';
import attrs from './d3/attrs';
import { drawGrid, gridHeight, gridWidth, makeXGridlines, makeYGridlines, xAxisHeight, yAxisWidth } from './grid';
import { IChartAdaptor, IHistogramData, IHistogramDataSet, IHistogramProps } from './Histogram';
import tips, { makeTip } from './tip';
interface IGroupDataItem {
label: string;
value: number;
}
type IGroupData = IGroupDataItem[][];
export const histogramD3 = ((): IChartAdaptor => {
let svg;
let tipContainer;
let tipContent;
const y = scaleLinear();
const x = scaleBand();
const innerScaleBand = scaleBand();
const defaultProps: IHistogramProps = {
axis: {
x: {
height: 20,
label: '',
margin: 10,
style: {
'fill': 'none',
'shape-rendering': 'crispEdges',
'stroke': '#666',
'stroke-opacity': 1,
'stroke-width': 1,
},
text: {
style: {
fill: '#666',
},
},
},
y: {
label: '',
style: {
'fill': 'none',
'shape-rendering': 'crispEdges',
'stroke': '#666',
'stroke-opacity': 1,
'stroke-width': 1,
},
text: {
style: {
fill: '#666',
},
},
ticks: 10,
width: 25,
},
},
bar: {
groupMargin: 0.1,
margin: 0,
width: 50,
},
className: 'histogram-d3',
colorScheme,
data: {
bins: [],
counts: [],
},
delay: 0,
domain: {
max: null,
min: null,
},
duration: 400,
grid: {
x: {
style: {
'fill': 'none',
'stroke': '#bbb',
'stroke-opacity': 0.7,
'stroke-width': 1,
},
ticks: 5,
visible: true,
},
y: {
style: {
'fill': 'none',
'stroke': '#bbb',
'stroke-opacity': 0.7,
'stroke-width': 1,
},
ticks: 5,
visible: true,
},
},
height: 200,
margin: {
left: 5,
top: 5,
},
stroke: {
color: '#005870',
dasharray: '',
linecap: 'butt',
width: 0,
},
tip: tips,
tipContainer: 'body',
tipContentFn: (bins: string[], i: number, d: number): string =>
bins[i] + '<br />' + d,
visible: {},
width: 200,
};
const HistogramD3 = {
/**
* Initialization
* @param {Node} el Target DOM node
* @param {Object} props Chart properties
*/
create(el: HTMLElement, props: Partial<IHistogramProps> = {}) {
this.mergeProps(props);
this._makeSvg(el);
this.makeGrid();
this.makeScales();
this.container = svg
.append('g')
.attr('class', 'histogram-container');
this.update(el, props);
},
mergeProps(newProps: Partial<IHistogramProps>) {
this.props = merge<IHistogramProps>(defaultProps, newProps);
this.props.data = newProps.data;
if (newProps.colorScheme) {
this.props.colorScheme = newProps.colorScheme;
}
},
/**
* Make the SVG container element
* Recreate if it previously existed
* @param {Dom} el Dom container node
*/
_makeSvg(el) {
if (svg) {
svg.selectAll('svg > *').remove();
svg.remove();
const childNodes = el.getElementsByTagName('svg');
if (childNodes.length > 0) {
el.removeChild(childNodes[0]);
}
}
const { margin, width, height, className } = this.props;
// Reference to svg element containing chart
svg = select(el).append('svg')
.attr('class', className)
.attr('width', width)
.attr('height', height)
.attr('viewBox', `0 0 ${width} ${height}`)
.append('g')
.attr('transform',
'translate(' + margin.left + ',' + margin.top + ')');
const r = makeTip(this.props.tipContainer, tipContainer);
tipContent = r.tipContent;
tipContainer = r.tipContainer;
},
valuesCount(counts: IHistogramDataSet[]): number {
return counts.reduce((a: number, b: IHistogramDataSet): number => {
return b.data.length > a ? b.data.length : a;
}, 0);
},
/**
* Update a linear scale with range and domain values taken either from the compiled
* group data
*/
appendDomainRange(scale: ScaleLinear<number, number>, data: IGroupData): void {
const yDomain: number[] = [];
const { domain, margin, height } = this.props;
const allCounts: number[] = data.reduce((prev: number[], next): number[] => {
return [...prev, ...next.map((n) => n.value)];
}, [0]);
const thisExtent = extent(allCounts, (d) => d);
yDomain[1] = domain && domain.hasOwnProperty('max') && domain.max !== null
? domain.max
: thisExtent[1];
yDomain[0] = domain && domain.hasOwnProperty('min') && domain.min !== null
? domain.min
: thisExtent[0];
const yRange = [height - (margin.top * 2) - xAxisHeight(this.props.axis), 0];
scale.range(yRange)
.domain(yDomain);
},
makeScales() {
this.xAxis = svg.append('g').attr('class', 'x-axis');
this.yAxis = svg.append('g').attr('class', 'y-axis');
this.xAxisLabel = svg.append('g');
this.yAxisLabel = svg.append('g');
},
/**
* Draw scales
* @param {Object} data Chart data
*/
_drawScales(data: IHistogramData) {
const { axis, margin, height } = this.props;
const valuesCount = this.valuesCount(data.counts);
const w = gridWidth(this.props);
let xAxis;
const dataLabels = data.counts.map((c) => c.label);
x
.domain(data.bins)
.rangeRound([0, w])
.paddingInner(this.groupedMargin());
innerScaleBand
.domain(dataLabels)
.rangeRound([0, x.bandwidth()])
.paddingInner(this.barMargin());
xAxis = axisBottom(x);
const tickSize = get(axis, 'x.tickSize', undefined);
if (tickSize !== undefined) {
xAxis.tickSize(tickSize);
} else {
if (w / valuesCount < 10) {
// Show one in 10 x axis labels
xAxis.tickValues(x.domain().filter((d, i) => !(i % 10)));
}
}
this.xAxis
.attr('transform', 'translate(' + (yAxisWidth(axis) + axis.y.style['stroke-width']) + ',' +
(height - xAxisHeight(this.props.axis) - (margin.left * 2)) + ')')
.call(xAxis);
this.appendDomainRange(y, this.dataSets);
const yAxis = axisLeft(y).ticks(axis.y.ticks);
const yTickSize = get(axis, 'y.tickSize', undefined);
if (yTickSize !== undefined) {
yAxis.tickSize(yTickSize);
}
this.yAxis
.attr('transform', 'translate(' + yAxisWidth(axis) + ', 0)')
.transition()
.call(yAxis);
attrs(svg.selectAll('.y-axis .domain, .y-axis .tick line'), axis.y.style);
attrs(svg.selectAll('.y-axis .tick text'), axis.y.text.style);
attrs(svg.selectAll('.x-axis .domain, .x-axis .tick line'), axis.x.style);
attrs(svg.selectAll('.x-axis .tick text'), axis.x.text.style);
},
/**
* Returns the margin between similar bars in different data sets
* @return {Number} Margin
*/
groupedMargin(): number {
const m = get(this.props.bar, 'groupMargin', 0.1);
return m >= 0 && m <= 1
? m
: 0.1;
},
barMargin(): number {
const m = get(this.props.bar, 'margin', 0);
return m >= 0 && m <= 1
? m
: 0.1;
},
barWidth() {
return innerScaleBand.bandwidth();
},
/**
* Draw a single data set into the chart
*/
updateChart(
bins: string[],
groupData: IGroupData,
) {
const { axis, height, width, margin, delay, duration,
tip } = this.props;
const barWidth = this.barWidth();
// const borderColors = set.borderColors ? d3.scaleOrdinal(set.borderColors) : null;
const colors = scaleOrdinal(this.props.colorScheme);
const gHeight = gridHeight(this.props);
const g = this.container
.selectAll('g')
.data(groupData);
const bars = g.enter()
.append('g')
.merge(g)
.attr('transform', (d) => {
const xdelta = yAxisWidth(axis)
+ axis.y.style['stroke-width']
+ x(d[0].label);
return `translate(${xdelta}, 0)`;
})
.selectAll('rect')
.data((d) => d);
// Don't ask why but we must reference tipContentFn as this.props.tipContentFn otherwise
// it doesn't update with props changes
const onMouseOver = (d: IGroupDataItem, i: number) => {
const ix = bins.findIndex((b) => b === d.label);
tipContent.html(() => this.props.tipContentFn(bins, ix, d.value));
tip.fx.in(tipContainer);
};
bars
.enter()
.append('rect')
.attr('height', 0)
.attr('y', (d: IGroupDataItem): number => gHeight)
.attr('class', 'bar')
.on('mouseover', onMouseOver)
.on('mousemove', () => tip.fx.move(tipContainer))
.on('mouseout', () => tip.fx.out(tipContainer))
.merge(bars)
.attr('x', (d) => innerScaleBand(d.groupLabel))
.attr('width', (d) => barWidth)
.attr('fill', (d, i) => colors(i))
.transition()
.duration(duration)
.delay(delay)
.attr('y', (d: IGroupDataItem): number => y(d.value))
// Hide bar's bottom border
.attr('stroke-dasharray',
(d: IGroupDataItem): string => {
const currentHeight = gHeight - (y(d.value));
return `${barWidth} 0 ${currentHeight} ${barWidth}`;
})
.attr('height', (d: IGroupDataItem): number => gHeight - (y(d.value)));
bars.exit().remove();
g.exit().remove();
const xText = this.xAxisLabel
.selectAll('text')
.data([axis.x.label]);
xText.enter().append('text')
.attr('class', 'x-axis-label')
.merge(xText)
.attr('transform',
'translate(' + (width / 2) + ' ,' +
((height - xAxisHeight(this.props.axis) - (margin.left * 2)) + axis.x.margin) + ')')
.style('text-anchor', 'middle')
.text((d) => d);
const yText = this.yAxisLabel
.selectAll('text')
.data([axis.y.label]);
yText.enter().append('text')
.attr('class', 'y-axis-label')
.merge(yText)
.attr('transform', 'rotate(-90)')
.attr('y', 0)
.attr('x', 0 - (gHeight / 2 - (margin.top * 2)))
.attr('dy', '1em')
.style('text-anchor', 'middle')
.text((d) => d);
},
makeGrid() {
this.gridX = svg.append('g')
.attr('class', 'grid gridX');
this.gridY = svg.append('g')
.attr('class', 'grid gridY');
},
/**
* Update chart
* @param {HTMLElement} el Chart element
* @param {Object} props Chart props
*/
update(el: HTMLElement, props: IHistogramProps) {
if (!props.data) {
return;
}
this.mergeProps(props);
if (!this.props.data.bins) {
return;
}
const { data, visible } = this.props;
this.dataSets = [] as IGroupData;
data.counts.forEach((count) => {
count.data.forEach((value, i) => {
if (!this.dataSets[i]) {
this.dataSets[i] = [];
}
this.dataSets[i].push({
groupLabel: count.label,
label: data.bins[i],
value: visible[data.bins[i]] !== false && visible[count.label] !== false ? value : 0,
} as IGroupDataItem);
});
});
this._drawScales(this.props.data);
drawGrid(x, y, this.gridX, this.gridY, this.props, this.valuesCount(data.counts));
this.updateChart(data.bins, this.dataSets);
},
/**
* Any necessary clean up
* @param {Element} el To remove
*/
destroy(el: HTMLElement) {
svg.selectAll('svg > *').remove();
},
};
return HistogramD3;
});