cl-react-graph
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text/typescript
import {
axisBottom,
axisLeft,
} from 'd3-axis';
import {
scaleBand,
scaleLinear,
scaleOrdinal,
} from 'd3-scale';
import { Selection } from 'd3-selection';
import merge from 'lodash/merge';
import colorScheme from './colors';
import attrs from './d3/attrs';
import {
drawHorizontalGrid,
gridHeight,
gridWidth,
xAxisHeight,
yAxisWidth,
} from './grid';
import {
EGroupedBarLayout,
IChartAdaptor,
IHistogramProps,
} from './Histogram';
import {
IGroupData,
IGroupDataItem,
} from './HistogramD3';
import tips, { makeTip } from './tip';
import {
barMargin,
getBarWidth,
groupedBarsUseSameXAxisValue,
groupedMargin,
} from './utils/bars';
import {
annotationAxisDefaults,
axis as defaultAxis,
grid as defaultGrid,
} from './utils/defaults';
import {
appendDomainRange,
isStacked,
maxValueCount,
ticks,
} from './utils/domain';
import {
onClick,
onMouseOut,
onMouseOver,
} from './utils/mouseOver';
import {
makeGrid,
makeScales,
makeSvg,
sizeSVG,
TSelection,
} from './utils/svg';
import { DeepPartial } from './utils/types';
export const horizontalHistogramD3 = ((): IChartAdaptor<IHistogramProps> => {
let svg: Selection<any, any, any, any>;;
let tipContainer;
let tipContent;
const x = scaleLinear();
const y = scaleBand();
const yAnnotations = scaleBand();
const innerScaleBand = scaleBand();
let container: Selection<SVGElement, any, any, any>;
let dataSets: IGroupData;
let gridX: TSelection;
let gridY: TSelection;
let yAxisContainer: TSelection;
let xAxisContainer: TSelection;
let xAxisLabel: TSelection;
let yAxisLabel: TSelection;
let AnnotationAxisContainer: TSelection;
const props: IHistogramProps = {
axis: defaultAxis,
bar: {
groupMargin: 0.1,
margin: 10,
overlayMargin: 5,
width: 50,
},
className: 'histogram-d3',
colorScheme,
data: {
bins: [],
colorScheme: [],
counts: [],
},
delay: 0,
domain: {
max: null,
min: null,
},
duration: 400,
grid: defaultGrid,
groupLayout: EGroupedBarLayout.GROUPED,
height: 200,
margin: {
bottom: 0,
left: 5,
right: 0,
top: 5,
},
stacked: false, // Deprecated use groupLayout instead
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 HorizontalHistogramD3 = {
/**
* Initialization
*/
create(el: Element, newProps: DeepPartial<IHistogramProps> = {}) {
merge(props, newProps);
svg = makeSvg(el, svg);
const { margin, width, height, className } = props;
sizeSVG(svg, { margin, width, height, className });
const r = makeTip(props.tipContainer, tipContainer);
tipContent = r.tipContent;
tipContainer = r.tipContainer;
[gridX, gridY] = makeGrid(svg);
[xAxisContainer, yAxisContainer, xAxisLabel, yAxisLabel, AnnotationAxisContainer] = makeScales(svg);
container = svg
.append<SVGElement>('g')
.attr('class', 'histogram-container');
this.update(el, newProps);
},
/**
* Draw Axes
*/
drawAxes() {
const { annotations, bar, data, domain, groupLayout, stacked, margin, width, height, axis } = props;
const valuesCount = maxValueCount(data.counts);
const w = gridWidth(props);
const h = gridHeight(props);
const dataLabels = data.counts.map((c) => c.label);
y.domain(data.bins)
.rangeRound([0, h])
.paddingInner(groupedMargin(bar));
innerScaleBand
.domain(groupedBarsUseSameXAxisValue({ groupLayout, stacked }) ? ['main'] : dataLabels)
.rangeRound([0, y.bandwidth()])
.paddingInner(barMargin(props.bar));
const xAxis = axisBottom<number>(x);
const yAxis = axisLeft<string>(y);
/** Y-Axis (label axis) set up */
ticks({
axis: yAxis,
valuesCount,
axisLength: h,
axisConfig: axis.y,
scaleBand: y,
limitByValues: true,
});
yAxisContainer
.attr('transform', 'translate(' + yAxisWidth(axis) + ', ' + margin.top + ' )')
.call(yAxis);
/** X-Axis 2 (bottom axis) for annoations if annotations data sent (and match bin length) */
if (annotations && annotations.length === data.bins.length) {
yAnnotations
.domain(data.bins)
.rangeRound([0, h])
.paddingInner(groupedMargin(bar));
const annotationAxis = axisLeft<string>(yAnnotations);
ticks({
axis: annotationAxis,
valuesCount: annotations.length,
axisLength: h,
axisConfig: annotationAxisDefaults,
scaleBand: yAnnotations,
limitByValues: true,
});
// Override the default axis bin labels with the custom annotations
annotationAxis.tickFormat((d, i) => annotations[i].value);
AnnotationAxisContainer
.attr('transform', 'translate(' + Number(yAxisWidth(axis) - 20) + ', ' + margin.top + ' )')
.call(annotationAxis);
// Annotation Axis styling
attrs(svg.selectAll('.x-axis-top .domain, .x-axis-top .tick line'), axis.x.style);
attrs(svg.selectAll('.x-axis-top .tick text'), axis.x.text.style as any);
// Style the annotations with their specific color
AnnotationAxisContainer
.selectAll('g.tick')
.select('text')
.style('fill', (d, i) => annotations[i].color);
// Hide the line for the annotations axis
AnnotationAxisContainer.call(g => g.select(".domain").remove());
}
/** X-Axis (value axis) set up */
appendDomainRange({
data: dataSets,
domain,
range: [0, Number(width) - (margin.top * 2) - axis.y.width],
scale: x,
stacked: isStacked({ groupLayout, stacked })
})
const xAxisY = height - xAxisHeight(props.axis) - margin.top;
xAxisContainer
.attr('transform', 'translate(' + yAxisWidth(axis) + ',' +
xAxisY + ')')
.call(xAxis);
attrs(svg.selectAll('.y-axis .domain, .y-axis .tick line'), axis.y.style);
attrs(svg.selectAll('.y-axis .tick text'), axis.y.text.style as any);
attrs(svg.selectAll('.x-axis .domain, .x-axis .tick line'), axis.x.style);
attrs(svg.selectAll('.x-axis .tick text'), axis.x.text.style as any);
},
/**
* Draw a single data set into the chart
*/
updateChart(
bins: string[],
groupData: IGroupData,
) {
const { axis, height, margin, delay, duration, tip, groupLayout, showBinPercentages, stacked } = props;
const stackedOffset = (d: IGroupDataItem, stackIndex: number) => {
const thisGroupData = groupData.find((gData) => {
return gData.find((dx) => dx.label === d.label) !== undefined;
});
const oSet = (thisGroupData || [])
.filter((_, i) => i < stackIndex)
.reduce((prev, next) => prev + next.value, 0);
const isItStacked = isStacked({ groupLayout, stacked });
const offset = isItStacked && stackIndex > 0
? oSet
: 0;
return isItStacked ? x(offset) : 0;
}
const colors = scaleOrdinal(props.colorScheme);
const gWidth = gridWidth(props);
const g = container
.selectAll<SVGElement, {}>('g')
.data(groupData);
const bars = g.enter()
.append<SVGElement>('g')
.merge(g)
.attr('transform', (d: any[]) => {
let yd = y(d[0].label);
if (yd === undefined) {
yd = 0;
}
const x = yAxisWidth(axis) + axis.x.style['stroke-width'];
return `translate(${x}, ${margin.top + yd})`;
})
.selectAll<SVGElement, {}>('rect')
.data((d) => d);
bars
.enter()
.append<SVGElement>('rect')
.attr('width', 0)
.attr('x', stackedOffset)
.attr('class', 'bar')
.on('click', onClick(props.onClick))
.on('mouseover', onMouseOver({ bins, hover: props.bar.hover, colors, tipContentFn: props.tipContentFn, tipContent, tip, tipContainer }))
.on('mousemove', () => tip.fx.move(tipContainer))
.on('mouseout', onMouseOut({ tip, tipContainer, colors }))
.merge(bars)
.attr('y', (d: IGroupDataItem, i: number) => {
const overlay = (props.groupLayout === EGroupedBarLayout.OVERLAID)
? i * props.bar.overlayMargin
: Number(innerScaleBand(String(d.groupLabel)));
return overlay;
})
.attr('height', (d, i) => getBarWidth(i, props.groupLayout, props.bar, innerScaleBand))
.attr('fill', (d, i) => colors(String(i)))
.transition()
.duration(duration)
.delay(delay)
.attr('x', stackedOffset)
// Hide bar's bottom border
.attr('stroke-dasharray',
(d: IGroupDataItem, i): string => {
const currentHeight = gWidth - (x(d.value));
const barWidth = getBarWidth(i, props.groupLayout, props.bar, innerScaleBand);
return `${barWidth} 0 ${currentHeight} ${barWidth}`;
})
.attr('width', (d: IGroupDataItem): number => x(d.value));
// We need to show the bar percentage splits if flag enabled
if (showBinPercentages) {
const percents = g.enter()
.append<SVGElement>('g')
.merge(g)
.attr('transform', (d: any[], index: number) => {
let yd = y(d[0].label);
if (yd === undefined) {
yd = 0;
}
const x = yAxisWidth(axis) + axis.x.style['stroke-width'];
return `translate(${x}, ${(margin.top + yd) * index + 1})`;
})
.selectAll<SVGElement, {}>('text')
.data((d) => d);
percents
.enter()
.append<SVGElement>('text')
.attr('width', 0)
.attr('x', 0)
.attr('y', 0)
.attr('dy', 0)
.attr('dx', 0)
.attr('class', 'percentage-label')
.attr('x', stackedOffset)
.text((d, i) => {
// To show the correct percentage split we need to total all the other values in this count set
const total = groupData.reduce((prev, group) => prev + group[i].value, 0);
const percentage = d.value === 0 ? 0 : Math.round((d.value / total) * 100);
return showBinPercentages[i] ? `${percentage}%` : '';
})
.data((d) => d)
.style('text-anchor', 'middle')
.style('font-size', '0.675rem')
.attr('fill', (d, i) => colors(String(i)))
.merge(percents)
.attr('x', (d: IGroupDataItem): number => x(d.value) + 15) // 15 added to space the label away from the bar
.attr('dy', (d, i) => {
const barWidth = getBarWidth(i, props.groupLayout, props.bar, innerScaleBand);
const datasetsCount = innerScaleBand.domain().length;
// Overlaid group type we need to use the bar width / 2 for the first bar
// center point but for the second bar we need to take into account half of the overlay margin as it's
// positioned within the previous bar
if (props.groupLayout === EGroupedBarLayout.OVERLAID) {
return i === 0 ? (barWidth / 2) : (barWidth + props.bar.overlayMargin * 2) / 2
} else {
// If we are using grouped layout then we need to calculate the total width of the bars + margin
// Center point calculated by dividing the bar width and margin / datasets count and adding together
// Second bar calculation needs to minus this value from the total width
const totalWidth = ((barWidth * innerScaleBand.domain().length)) + props.bar.margin;
const centerPos = (barWidth / datasetsCount) + (props.bar.margin / datasetsCount);
return i === 0 ? centerPos : totalWidth - centerPos
}
});
percents.exit().remove();
};
bars.exit().remove();
g.exit().remove();
const yText = yAxisLabel
.selectAll<any, any>('text')
.data([axis.y.label]);
yText.enter().append('text')
.attr('class', 'y-axis-label')
.merge(yText)
.attr('transform',
'translate(' + (Number(height) / 2) + ' ,' +
((height - yAxisWidth(props.axis) - (margin.left * 2)) + axis.x.margin) + ')')
.style('text-anchor', 'middle')
.text((d) => d);
const xText = yAxisLabel
.selectAll<any, any>('text')
.data([axis.x.label]);
xText.enter().append('text')
.attr('class', 'x-axis-label')
.merge(xText)
.attr('transform', 'rotate(-90)')
.attr('y', 0)
.attr('x', 0 - (gWidth / 2 - (margin.top * 2)))
.attr('dy', '1em')
.style('text-anchor', 'middle')
.text((d) => d);
},
/**
* Update chart
*/
update(el: Element, newProps: DeepPartial<IHistogramProps>) {
if (!props.data) {
return;
}
merge(props, newProps);
if (!props.data.bins) {
return;
}
const { margin, width, height, className, data, visible } = props;
sizeSVG(svg, { margin, width, height, className });
dataSets = [];
data.counts.forEach((count) => {
count.data.forEach((value, i) => {
if (!dataSets[i]) {
dataSets[i] = [];
}
dataSets[i].push({
groupLabel: count.label,
label: data.bins[i],
value: visible[data.bins[i]] !== false && visible[count.label] !== false ? value : 0,
});
});
});
this.drawAxes();
drawHorizontalGrid({ x, y, gridX, gridY, props, ticks: maxValueCount(data.counts) });
this.updateChart(data.bins, dataSets);
},
/**
* Any necessary clean up
*/
destroy(el: Element) {
svg.selectAll('svg > *').remove();
},
};
return HorizontalHistogramD3;
});