d3-shape#curveMonotoneX JavaScript Examples
The following examples show how to use
d3-shape#curveMonotoneX.
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Example #1
Source File: Minigraphs.js From covid19india-react with MIT License | 4 votes |
function Minigraphs({timeseries, date: timelineDate}) {
const refs = useRef([]);
const endDate = timelineDate || getIndiaDateYesterdayISO();
let [wrapperRef, {width}] = useMeasure();
width = Math.min(width, maxWidth);
const dates = useMemo(() => {
const pastDates = Object.keys(timeseries || {}).filter(
(date) => date <= endDate
);
const lastDate = pastDates[pastDates.length - 1];
const cutOffDateLower = formatISO(
subDays(parseIndiaDate(lastDate), MINIGRAPH_LOOKBACK_DAYS),
{representation: 'date'}
);
return pastDates.filter((date) => date >= cutOffDateLower);
}, [endDate, timeseries]);
const getMinigraphStatistic = useCallback(
(date, statistic) => {
return getStatistic(timeseries?.[date], 'delta', statistic);
},
[timeseries]
);
useEffect(() => {
if (!width) return;
const T = dates.length;
const chartRight = width - margin.right;
const chartBottom = height - margin.bottom;
const xScale = scaleTime()
.clamp(true)
.domain([
parseIndiaDate(dates[0] || endDate),
parseIndiaDate(dates[T - 1]) || endDate,
])
.range([margin.left, chartRight]);
refs.current.forEach((ref, index) => {
const svg = select(ref);
const statistic = LEVEL_STATISTICS[index];
const color = STATISTIC_CONFIGS[statistic].color;
const dailyMaxAbs = max(dates, (date) =>
Math.abs(getMinigraphStatistic(date, statistic))
);
const yScale = scaleLinear()
.clamp(true)
.domain([-dailyMaxAbs, dailyMaxAbs])
.range([chartBottom, margin.top]);
const linePath = line()
.curve(curveMonotoneX)
.x((date) => xScale(parseIndiaDate(date)))
.y((date) => yScale(getMinigraphStatistic(date, statistic)));
let pathLength;
svg
.selectAll('path')
.data(T ? [dates] : [])
.join(
(enter) =>
enter
.append('path')
.attr('fill', 'none')
.attr('stroke', color + '99')
.attr('stroke-width', 2.5)
.attr('d', linePath)
.attr('stroke-dasharray', function () {
return (pathLength = this.getTotalLength());
})
.call((enter) =>
enter
.attr('stroke-dashoffset', pathLength)
.transition()
.delay(100)
.duration(2500)
.attr('stroke-dashoffset', 0)
),
(update) =>
update
.attr('stroke-dasharray', null)
.transition()
.duration(500)
.attrTween('d', function (date) {
const previous = select(this).attr('d');
const current = linePath(date);
return interpolatePath(previous, current);
})
.selection()
);
svg
.selectAll('circle')
.data(T ? [dates[T - 1]] : [])
.join(
(enter) =>
enter
.append('circle')
.attr('fill', color)
.attr('r', 2.5)
.attr('cx', (date) => xScale(parseIndiaDate(date)))
.attr('cy', (date) =>
yScale(getMinigraphStatistic(date, statistic))
)
.style('opacity', 0)
.call((enter) =>
enter
.transition()
.delay(2100)
.duration(500)
.style('opacity', 1)
.attr('cx', (date) => xScale(parseIndiaDate(date)))
.attr('cy', (date) =>
yScale(getMinigraphStatistic(date, statistic))
)
),
(update) =>
update
.transition()
.duration(500)
.attr('cx', (date) => xScale(parseIndiaDate(date)))
.attr('cy', (date) =>
yScale(getMinigraphStatistic(date, statistic))
)
.style('opacity', 1)
.selection()
);
});
}, [endDate, dates, width, getMinigraphStatistic]);
return (
<div className="Minigraph">
{LEVEL_STATISTICS.map((statistic, index) => (
<div
key={statistic}
className={classnames('svg-parent')}
ref={index === 0 ? wrapperRef : null}
style={{width: `calc(${100 / LEVEL_STATISTICS.length}%)`}}
>
<svg
ref={(el) => {
refs.current[index] = el;
}}
preserveAspectRatio="xMidYMid meet"
width={width}
height={height}
/>
</div>
))}
</div>
);
}
Example #2
Source File: Timeseries.js From covid19india-react with MIT License | 4 votes |
function Timeseries({
statistics,
timeseries,
dates,
endDate,
chartType,
isUniform,
isLog,
isMovingAverage,
noRegionHighlightedDistrictData,
}) {
const {t} = useTranslation();
const refs = useRef([]);
const [wrapperRef, {width, height}] = useMeasure();
const [highlightedDate, setHighlightedDate] = useState(
dates[dates.length - 1]
);
useEffect(() => {
setHighlightedDate(dates[dates.length - 1]);
}, [dates]);
const getTimeseriesStatistic = useCallback(
(date, statistic, movingAverage = isMovingAverage) => {
return getStatistic(timeseries?.[date], chartType, statistic, {
movingAverage,
});
},
[chartType, isMovingAverage, timeseries]
);
const condenseChart = useMemo(() => {
const T = dates.length;
const days = differenceInDays(
parseIndiaDate(dates[T - 1]),
parseIndiaDate(dates[0])
);
// Chart extremes
const chartRight = width - margin.right;
// Bar widths
const axisWidth = Math.max(0, chartRight - margin.left) / (1.25 * days);
return axisWidth < 4;
}, [width, dates]);
const xScale = useMemo(() => {
const T = dates.length;
const chartRight = width - margin.right;
return scaleTime()
.clamp(true)
.domain([
parseIndiaDate(dates[0] || endDate),
parseIndiaDate(dates[T - 1] || endDate),
])
.range([margin.left, chartRight]);
}, [width, endDate, dates]);
const yScales = useMemo(() => {
const chartBottom = height - margin.bottom;
const addScaleBuffer = (scale, log = false) => {
const domain = scale.domain();
if (log) {
scale.domain([
domain[0],
domain[0] * Math.pow(domain[1] / domain[0], 1 / yScaleShrinkFactor),
]);
} else {
scale.domain([
domain[0],
domain[0] + (domain[1] - domain[0]) / yScaleShrinkFactor,
]);
}
return scale;
};
const [uniformScaleMin, uniformScaleMax] = extent(
dates.reduce((res, date) => {
res.push(
...PRIMARY_STATISTICS.map((statistic) =>
getTimeseriesStatistic(date, statistic)
)
);
return res;
}, [])
);
const yScaleUniformLinear = addScaleBuffer(
scaleLinear()
.clamp(true)
.domain([Math.min(0, uniformScaleMin), Math.max(1, uniformScaleMax)])
.range([chartBottom, margin.top])
.nice(4)
);
const yScaleUniformLog = addScaleBuffer(
scaleLog()
.clamp(true)
.domain([1, Math.max(10, uniformScaleMax)])
.range([chartBottom, margin.top])
.nice(4),
true
);
return statistics.map((statistic) => {
if (isUniform) {
if (
chartType === 'total' &&
isLog &&
PRIMARY_STATISTICS.includes(statistic)
) {
return yScaleUniformLog;
} else if (PRIMARY_STATISTICS.includes(statistic)) {
return yScaleUniformLinear;
}
}
const [scaleMin, scaleMax] = extent(dates, (date) =>
getTimeseriesStatistic(date, statistic)
);
if (chartType === 'total' && isLog) {
return addScaleBuffer(
scaleLog()
.clamp(true)
.domain([1, Math.max(10, scaleMax)])
.range([chartBottom, margin.top])
.nice(4),
true
);
} else {
return addScaleBuffer(
scaleLinear()
.clamp(true)
.domain([
Math.min(0, scaleMin),
STATISTIC_CONFIGS[statistic].format === '%'
? Math.min(100, Math.max(1, scaleMax))
: Math.max(1, scaleMax),
])
.range([chartBottom, margin.top])
.nice(4)
);
}
});
}, [
height,
chartType,
isUniform,
isLog,
statistics,
dates,
getTimeseriesStatistic,
]);
useEffect(() => {
if (!width || !height) return;
const T = dates.length;
// Chart extremes
const chartRight = width - margin.right;
const chartBottom = height - margin.bottom;
const isDiscrete = chartType === 'delta' && !isMovingAverage;
const xAxis = (g) =>
g
.attr('class', 'x-axis')
.call(axisBottom(xScale).ticks(numTicksX(width)));
const xAxis2 = (g, yScale) => {
g.attr('class', 'x-axis2')
.call(axisBottom(xScale).tickValues([]).tickSize(0))
.select('.domain')
.style('transform', `translate3d(0, ${yScale(0)}px, 0)`);
if (yScale(0) !== chartBottom) g.select('.domain').attr('opacity', 0.4);
else g.select('.domain').attr('opacity', 0);
};
const yAxis = (g, yScale, format) =>
g.attr('class', 'y-axis').call(
axisRight(yScale)
.ticks(4)
.tickFormat((num) => formatNumber(num, format))
.tickPadding(4)
);
function mousemove(event) {
const xm = pointer(event)[0];
const date = xScale.invert(xm);
if (!isNaN(date)) {
const bisectDate = bisector((date) => parseIndiaDate(date)).left;
const index = bisectDate(dates, date, 1);
const dateLeft = dates[index - 1];
const dateRight = dates[index];
setHighlightedDate(
date - parseIndiaDate(dateLeft) < parseIndiaDate(dateRight) - date
? dateLeft
: dateRight
);
}
}
function mouseout(event) {
setHighlightedDate(dates[T - 1]);
}
/* Begin drawing charts */
statistics.forEach((statistic, i) => {
const ref = refs.current[i];
const svg = select(ref);
const t = svg.transition().duration(D3_TRANSITION_DURATION);
const yScale = yScales[i];
const statisticConfig = STATISTIC_CONFIGS[statistic];
const format =
STATISTIC_CONFIGS[statistic].format === '%' ? '%' : 'short';
const isNonLinear = !!STATISTIC_CONFIGS[statistic]?.nonLinear;
/* X axis */
svg
.select('.x-axis')
.style('transform', `translate3d(0, ${chartBottom}px, 0)`)
.transition(t)
.call(xAxis);
svg.select('.x-axis2').transition(t).call(xAxis2, yScale);
/* Y axis */
svg
.select('.y-axis')
.style('transform', `translate3d(${chartRight}px, 0, 0)`)
.transition(t)
.call(yAxis, yScale, format);
/* Path dots */
svg
.selectAll('circle.normal')
.data(condenseChart ? [] : dates, (date) => date)
.join((enter) =>
enter
.append('circle')
.attr('class', 'normal')
.attr('fill', statisticConfig?.color)
.attr('stroke', statisticConfig?.color)
.attr('cx', (date) => xScale(parseIndiaDate(date)))
.attr('cy', (date) =>
yScale(isDiscrete ? 0 : getTimeseriesStatistic(date, statistic))
)
.attr('r', 2)
)
.transition(t)
.attr('cx', (date) => xScale(parseIndiaDate(date)))
.attr('cy', (date) => yScale(getTimeseriesStatistic(date, statistic)));
const areaPath = (dates, allZero = false) =>
area()
.curve(curveStep)
.x((date) => xScale(parseIndiaDate(date)))
.y0(yScale(0))
.y1(
allZero
? yScale(0)
: (date) => yScale(getTimeseriesStatistic(date, statistic, false))
)(dates);
svg
.selectAll('.trend-area')
.data(
T && chartType === 'delta' && !isNonLinear && condenseChart
? [dates]
: []
)
.join(
(enter) =>
enter
.append('path')
.attr('class', 'trend-area')
.call((enter) =>
enter
.attr('d', (dates) => areaPath(dates, true))
.transition(t)
.attr('d', areaPath)
),
(update) =>
update.call((update) =>
update.transition(t).attrTween('d', function (dates) {
const previous = select(this).attr('d');
const current = areaPath(dates);
return interpolatePath(previous, current);
})
),
(exit) =>
exit.call((exit) =>
exit
.transition(t)
.attr('d', (dates) => areaPath(dates, true))
.remove()
)
)
.transition(t)
.attr('opacity', isMovingAverage ? 0.3 : 1);
svg
.selectAll('.stem')
.data(
T && chartType === 'delta' && !isNonLinear && !condenseChart
? dates
: [],
(date) => date
)
.join(
(enter) =>
enter
.append('line')
.attr('class', 'stem')
.attr('stroke-width', 4)
.attr('x1', (date) => xScale(parseIndiaDate(date)))
.attr('y1', yScale(0))
.attr('x2', (date) => xScale(parseIndiaDate(date)))
.attr('y2', yScale(0)),
(update) => update,
(exit) =>
exit.call((exit) =>
exit
.transition(t)
.attr('x1', (date) => xScale(parseIndiaDate(date)))
.attr('x2', (date) => xScale(parseIndiaDate(date)))
.attr('y1', yScale(0))
.attr('y2', yScale(0))
.remove()
)
)
.transition(t)
.attr('x1', (date) => xScale(parseIndiaDate(date)))
.attr('y1', yScale(0))
.attr('x2', (date) => xScale(parseIndiaDate(date)))
.attr('y2', (date) =>
yScale(getTimeseriesStatistic(date, statistic, false))
)
.attr('opacity', isMovingAverage ? 0.2 : 1);
const linePath = (
movingAverage = isMovingAverage,
curve = curveMonotoneX
) =>
line()
.curve(curve)
.x((date) => xScale(parseIndiaDate(date)))
.y((date) =>
yScale(getTimeseriesStatistic(date, statistic, movingAverage))
);
svg
.select('.trend')
.selectAll('path')
.data(
T && (chartType === 'total' || isNonLinear || isMovingAverage)
? [dates]
: []
)
.join(
(enter) =>
enter
.append('path')
.attr('class', 'trend')
.attr('fill', 'none')
.attr('stroke-width', 4)
.attr('d', linePath())
.call((enter) => enter.transition(t).attr('opacity', 1)),
(update) =>
update.call((update) =>
update
.transition(t)
.attrTween('d', function (date) {
const previous = select(this).attr('d');
const current = linePath()(date);
return interpolatePath(previous, current);
})
.attr('opacity', 1)
),
(exit) =>
exit.call((exit) => exit.transition(t).attr('opacity', 0).remove())
)
.attr('stroke', statisticConfig?.color + (condenseChart ? '99' : '50'));
svg
.select('.trend-background')
.selectAll('path')
.data(
T && chartType === 'delta' && isNonLinear && isMovingAverage
? [dates]
: []
)
.join(
(enter) =>
enter
.append('path')
.attr('class', 'trend-background')
.attr('fill', 'none')
.attr('stroke-width', 4)
.attr('d', linePath(false, curveLinear))
.call((enter) => enter.transition(t).attr('opacity', 0.2)),
(update) =>
update.call((update) =>
update
.transition(t)
.attrTween('d', function (date) {
const previous = select(this).attr('d');
const current = linePath(false, curveLinear)(date);
return interpolatePath(previous, current);
})
.attr('opacity', 0.2)
),
(exit) =>
exit.call((exit) => exit.transition(t).attr('opacity', 0).remove())
)
.attr('stroke', statisticConfig?.color + (condenseChart ? '99' : '50'));
svg.selectAll('*').attr('pointer-events', 'none');
svg
.on('mousemove', mousemove)
.on('touchmove', (event) => mousemove(event.touches[0]))
.on('mouseout touchend', mouseout);
});
}, [
width,
height,
chartType,
isMovingAverage,
condenseChart,
xScale,
yScales,
statistics,
getTimeseriesStatistic,
dates,
]);
useEffect(() => {
statistics.forEach((statistic, i) => {
const ref = refs.current[i];
const svg = select(ref);
const statisticConfig = STATISTIC_CONFIGS[statistic];
const yScale = yScales[i];
const t = svg.transition().duration(D3_TRANSITION_DURATION);
svg
.selectAll('circle.condensed')
.data(
condenseChart && highlightedDate ? [highlightedDate] : [],
(date) => date
)
.join((enter) =>
enter
.append('circle')
.attr('class', 'condensed')
.attr('fill', statisticConfig?.color)
.attr('stroke', statisticConfig?.color)
.attr('pointer-events', 'none')
.attr('cx', (date) => xScale(parseIndiaDate(date)))
.attr('cy', (date) =>
yScale(getTimeseriesStatistic(date, statistic))
)
.attr('r', 4)
)
.transition(t)
.attr('cx', (date) => xScale(parseIndiaDate(date)))
.attr('cy', (date) => yScale(getTimeseriesStatistic(date, statistic)));
if (!condenseChart) {
svg
.selectAll('circle')
.attr('r', (date) => (date === highlightedDate ? 4 : 2));
}
});
}, [
condenseChart,
highlightedDate,
xScale,
yScales,
statistics,
getTimeseriesStatistic,
]);
const getTimeseriesStatisticDelta = useCallback(
(statistic) => {
if (!highlightedDate) return;
const currCount = getTimeseriesStatistic(highlightedDate, statistic);
if (STATISTIC_CONFIGS[statistic]?.hideZero && currCount === 0) return;
const prevDate =
dates[dates.findIndex((date) => date === highlightedDate) - 1];
const prevCount = getTimeseriesStatistic(prevDate, statistic);
return currCount - prevCount;
},
[dates, highlightedDate, getTimeseriesStatistic]
);
const trail = useMemo(
() =>
statistics.map((statistic, index) => ({
animationDelay: `${index * 250}ms`,
})),
[statistics]
);
return (
<div className="Timeseries">
{statistics.map((statistic, index) => {
const total = getTimeseriesStatistic(highlightedDate, statistic);
const delta = getTimeseriesStatisticDelta(statistic, index);
const statisticConfig = STATISTIC_CONFIGS[statistic];
return (
<div
key={statistic}
className={classnames('svg-parent fadeInUp', `is-${statistic}`)}
style={trail[index]}
ref={index === 0 ? wrapperRef : null}
>
{highlightedDate && (
<div className={classnames('stats', `is-${statistic}`)}>
<h5 className="title">
{t(capitalize(statisticConfig.displayName))}
</h5>
<h5>{formatDate(highlightedDate, 'dd MMMM')}</h5>
<div className="stats-bottom">
<h2>
{!noRegionHighlightedDistrictData ||
!statisticConfig?.hasPrimary
? formatNumber(
total,
statisticConfig.format !== 'short'
? statisticConfig.format
: 'long',
statistic
)
: '-'}
</h2>
<h6>
{!noRegionHighlightedDistrictData ||
!statisticConfig?.hasPrimary
? `${delta > 0 ? '+' : ''}${formatNumber(
delta,
statisticConfig.format !== 'short'
? statisticConfig.format
: 'long',
statistic
)}`
: ''}
</h6>
</div>
</div>
)}
<svg
ref={(element) => {
refs.current[index] = element;
}}
preserveAspectRatio="xMidYMid meet"
>
<g className="x-axis" />
<g className="x-axis2" />
<g className="y-axis" />
<g className="trend-background" />
<g className="trend" />
</svg>
</div>
);
})}
</div>
);
}
Example #3
Source File: TimeseriesBrush.js From covid19india-react with MIT License | 4 votes |
function TimeseriesBrush({
timeseries,
dates,
currentBrushSelection,
endDate,
lookback,
setBrushSelectionEnd,
setLookback,
animationIndex,
}) {
const chartRef = useRef();
const [wrapperRef, {width, height}] = useMeasure();
const endDateMin =
lookback !== null
? min([
formatISO(addDays(parseIndiaDate(dates[0]), lookback), {
representation: 'date',
}),
endDate,
])
: endDate;
const xScale = useMemo(() => {
const T = dates.length;
// Chart extremes
const chartRight = width - margin.right;
return scaleTime()
.clamp(true)
.domain([
parseIndiaDate(dates[0] || endDate),
parseIndiaDate(dates[T - 1] || endDate),
])
.range([margin.left, chartRight]);
}, [width, endDate, dates]);
useEffect(() => {
if (!width || !height) return;
// Chart extremes
const chartBottom = height - margin.bottom;
const xAxis = (g) =>
g
.attr('class', 'x-axis')
.call(axisBottom(xScale).ticks(numTicksX(width)));
// Switched to daily confirmed instead of cumulative ARD
const timeseriesStacked = stack()
.keys(BRUSH_STATISTICS)
.value((date, statistic) =>
Math.max(0, getStatistic(timeseries[date], 'delta', statistic))
)(dates);
const yScale = scaleLinear()
.clamp(true)
.domain([
0,
max(
timeseriesStacked[timeseriesStacked.length - 1],
([, y1]) => yBufferTop * y1
),
])
.range([chartBottom, margin.top]);
const svg = select(chartRef.current);
const t = svg.transition().duration(D3_TRANSITION_DURATION);
svg
.select('.x-axis')
.attr('pointer-events', 'none')
.style('transform', `translate3d(0, ${chartBottom}px, 0)`)
.transition(t)
.call(xAxis);
const areaPath = area()
.curve(curveMonotoneX)
.x((d) => xScale(parseIndiaDate(d.data)))
.y0((d) => yScale(d[0]))
.y1((d) => yScale(d[1]));
svg
.select('.trend-areas')
.selectAll('.trend-area')
.data(timeseriesStacked)
.join(
(enter) =>
enter
.append('path')
.attr('class', 'trend-area')
.attr('fill', ({key}) => STATISTIC_CONFIGS[key].color)
.attr('fill-opacity', 0.4)
.attr('stroke', ({key}) => STATISTIC_CONFIGS[key].color)
.attr('d', areaPath)
.attr('pointer-events', 'none'),
(update) =>
update
.transition(t)
.attrTween('d', function (date) {
const previous = select(this).attr('d');
const current = areaPath(date);
return interpolatePath(previous, current);
})
.selection()
);
}, [dates, width, height, xScale, timeseries]);
const defaultSelection = currentBrushSelection.map((date) =>
xScale(parseIndiaDate(date))
);
const brush = useMemo(() => {
if (!width || !height) return;
// Chart extremes
const chartRight = width - margin.right;
const chartBottom = height - margin.bottom;
const brush = brushX()
.extent([
[margin.left, margin.top],
[chartRight, chartBottom],
])
.handleSize(20);
return brush;
}, [width, height]);
const brushed = useCallback(
({sourceEvent, selection}) => {
if (!sourceEvent) return;
const [brushStartDate, brushEndDate] = selection.map(xScale.invert);
ReactDOM.unstable_batchedUpdates(() => {
setBrushSelectionEnd(formatISO(brushEndDate, {representation: 'date'}));
setLookback(differenceInDays(brushEndDate, brushStartDate));
});
},
[xScale, setBrushSelectionEnd, setLookback]
);
const beforebrushstarted = useCallback(
(event) => {
const svg = select(chartRef.current);
const selection = brushSelection(svg.select('.brush').node());
if (!selection) return;
const dx = selection[1] - selection[0];
const [[cx]] = pointers(event);
const [x0, x1] = [cx - dx / 2, cx + dx / 2];
const [X0, X1] = xScale.range();
svg
.select('.brush')
.call(
brush.move,
x1 > X1 ? [X1 - dx, X1] : x0 < X0 ? [X0, X0 + dx] : [x0, x1]
);
},
[brush, xScale]
);
const brushended = useCallback(
({sourceEvent, selection}) => {
if (!sourceEvent || !selection) return;
const domain = selection
.map(xScale.invert)
.map((date) => formatISO(date, {representation: 'date'}));
const svg = select(chartRef.current);
svg
.select('.brush')
.call(
brush.move,
domain.map((date) => xScale(parseIndiaDate(date)))
)
.call((g) => g.select('.overlay').attr('cursor', 'pointer'));
},
[brush, xScale]
);
useEffect(() => {
if (!brush) return;
brush.on('start brush', brushed).on('end', brushended);
const svg = select(chartRef.current);
svg
.select('.brush')
.call(brush)
.call((g) =>
g
.select('.overlay')
.attr('cursor', 'pointer')
.datum({type: 'selection'})
.on('mousedown touchstart', beforebrushstarted)
);
}, [brush, brushed, brushended, beforebrushstarted]);
useEffect(() => {
if (!brush) return;
const svg = select(chartRef.current);
svg.select('.brush').call(brush.move, defaultSelection);
}, [brush, defaultSelection]);
const handleWheel = (event) => {
if (event.deltaX) {
setBrushSelectionEnd(
max([
endDateMin,
dates[
Math.max(
0,
Math.min(
dates.length - 1,
dates.indexOf(currentBrushSelection[1]) +
Math.sign(event.deltaX) * brushWheelDelta
)
)
],
])
);
}
};
return (
<div className="Timeseries">
<div
className={classnames('svg-parent is-brush fadeInUp')}
ref={wrapperRef}
onWheel={handleWheel}
style={{animationDelay: `${animationIndex * 250}ms`}}
>
<svg ref={chartRef} preserveAspectRatio="xMidYMid meet">
<defs>
<clipPath id="clipPath">
<rect
x={0}
y={`${margin.top}`}
width={width}
height={`${Math.max(0, height - margin.bottom)}`}
/>
</clipPath>
<mask id="mask">
<rect
x={0}
y={`${margin.top}`}
width={width}
height={`${Math.max(0, height - margin.bottom)}`}
fill="hsl(0, 0%, 40%)"
/>
<use href="#selection" fill="white" />
</mask>
</defs>
<g className="brush" clipPath="url(#clipPath)">
<g mask="url(#mask)">
<rect className="overlay" />
<g className="trend-areas" />
<rect className="selection" id="selection" />
</g>
</g>
<g className="x-axis" />
</svg>
</div>
</div>
);
}