Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'd3-axis' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.
const yScale = scaleLinear().range([innerHeight, 0]);
// filter out infinite values
const filteredData = data.filter(d => d < Infinity && d > -Infinity);
const xExtent = extent(filteredData);
xScale.domain(xExtent);
this.xAxis.call(axisBottom(xScale).ticks(7));
const bins = histogram()
.domain(xScale.domain())
.thresholds(xScale.ticks(20))(filteredData);
yScale.domain([0, max(bins, d => d.length)]);
this.yAxis.call(axisLeft(yScale).ticks(4));
let bars = this.countRects.selectAll('.bar').data(bins);
bars.exit().remove();
const barsEnter = bars.enter().append('g').attr('class', 'bar');
const sampleBin = bins[1] || bins[0]; // first one can be smaller so use second if available
const barWidth = Math.max(1, xScale(sampleBin.x1) - xScale(sampleBin.x0) - 1);
barsEnter
.append('rect')
.attr('x', 1)
.attr('width', barWidth)
.style('fill', '#0bb');
bars = bars.merge(barsEnter)
.attr('transform', d => `translate(${xScale(d.x0)}, ${yScale(d.length)})`)
.each(function eachBar(d) {
_renderHistogramAxis() {
const histogramXAxisScale = scaleTime()
.domain([
this.histogramChartXScale.invert(0),
this.histogramChartXScale.invert(this.state.histogramChartDimensions.width)
])
.range([0, this.state.histogramChartDimensions.width]);
// Setting the x-axis histogram representation.
const histogramXAxis = d3AxisBottom(histogramXAxisScale)
.tickValues(this.histogramChartXScale.ticks(this.props.defaultBarCount / BARS_TICK_RATIO))
.tickFormat(this.props.xAxisFormatter);
d3Select(this.histogramXAxisRef.current)
.call(histogramXAxis);
const histogramYAxis = d3AxisLeft(this.histogramChartYScale)
.ticks(this.props.yAxisTicks)
.tickSize(0)
.tickFormat(this.props.yAxisFormatter);
d3Select(this.histogramYAxisRef.current)
.call(histogramYAxis);
}
constructor(selector, options) {
super(selector, options);
// create
});
}
var eventTypes = ['render', 'resize', 'highlight', 'mark', 'brush', 'brushend', 'brushstart', 'axesreorder'].concat(keys(config));
var events = dispatch.apply(_this$4, eventTypes),
flags = {
brushable: false,
reorderable: false,
axes: false,
interactive: false,
debug: false
},
xscale = scalePoint(),
dragging = {},
axis = axisLeft().ticks(5),
ctx = {},
canvas = {};
var brush = {
modes: {
None: {
install: function install(pc) {}, // Nothing to be done.
uninstall: function uninstall(pc) {}, // Nothing to be done.
selected: function selected() {
return [];
}, // Nothing to return
brushState: function brushState() {
return {};
}
}
},
mounted() {
let axisHolder = this.$refs.axisHolder;
let height = axisHolder.offsetHeight;
let vis = d3Selection.select(axisHolder)
.append("svg:svg")
.attr("width", "100%")
.attr("height", height);
this.width = this.$refs.axisHolder.clientWidth;
this.xAxis = d3Axis.axisTop();
this.dragging = false;
// draw x axis with labels. CSS is used to position them.
this.axisElement = vis.append("g");
this.setViewFromTimeSystem(this.openmct.time.timeSystem());
this.setScale();
//Respond to changes in conductor
this.openmct.time.on("timeSystem", this.setViewFromTimeSystem);
setInterval(this.resize, RESIZE_POLL_INTERVAL);
},
destroyed() {
.text(title);
selection.append('span')
.attr('class', 'value');
var context = canvas.node().getContext('2d');
//context.imageSmoothingEnabled = false;
//context.translate(margin.left, margin.top);
// update the y scale, based on the data extents
var _extent = extent || d3_extent(data);
var max = Math.max(-_extent[0], _extent[1]);
y.domain([0, max]);
//x = d3.scaleTime().domain[];
axis = axisTop(x).ticks(5);
// Draw ----------------------------------------------------------------------------
context.clearRect(0, 0, width, height);
//context.translate(0.5, 0.5);
// the data frame currently being shown:
var increment = step + spacing,
startIndex = ~~Math.max(0, -(offsetX / increment)),
endIndex = ~~Math.min(data.length, startIndex + width / increment);
// skip drawing if there's no data to be drawn
if (startIndex > data.length) return;
// we are drawing positive & negative bands separately to avoid mutating canvas state
this.volumeScale.domain([0,d3Array.max(this.kData,d=>d.volume)])
const priceAxis=this.g.select('.price-axis')
.call(d3Axis[this.wideScreen ? 'axisLeft' : 'axisRight'](this.priceScale).tickValues(priceRange))
.call(this.alignPriceLabel)
const timeMod = 8
const timeValues = timeRange.filter((x,i)=> i % timeMod === 0)
this.g.select('.time-axis')
.call(d3Axis.axisBottom(this.timeScale)
.tickValues(timeValues)
.tickFormat(d3TimeFomat.timeFormat("%y%m%d")))
this.g.select('.volume-time-axis')
.call(d3Axis.axisBottom(this.timeScale).tickValues([]))
const volumeAxis=this.g.select('.volume-axis')
.call(d3Axis.axisRight(this.volumeScale).ticks(2))
const candleLines=this.g.selectAll('.candle-line')
.data(this.kData)
candleLines.enter()
.append('line')
.attr('class','candle-line')
.merge(candleLines)
.attr('x1',d=>this.timeScale(d.date)+this.timeScale.bandwidth()/2)
.attr('y1',d=>this.priceScale(d.high))
.attr('x2',d=>this.timeScale(d.date)+this.timeScale.bandwidth()/2)
.attr('y2',d=>this.priceScale(d.low))
.attr('stroke',d=>this.stockColor(d.open,d.close))
candleLines.exit().remove()
const candleBars=this.g.selectAll('.candle-bar')
.data(this.kData)
export const drawAxis = (svg: SVGElement, scale: Scale, options: DrawAxisOptions) => {
let axis: Axis;
switch (options.orient) {
case 'top':
axis = axisTop(scale);
break;
case 'bottom':
axis = axisBottom(scale);
break;
case 'left':
axis = axisLeft(scale);
break;
case 'right':
axis = axisRight(scale);
break;
default:
console.error(`invalid axis orient ${options.orient}`);
return;
}
axis.ticks(options.ticks || DEFAULT_AXIS_TICKS);
if (options.ticks === 0) {
axis.tickValues([]);
}
let svgAxes: Selection = select(svg).select('g');
if (svgAxes.empty()) {
svgAxes = (select(svg).append('g') as Selection)
.classed(options.classes || '', true);
} else {
svgAxes.selectAll('*').remove();
}
_getXAxis(scale: Object) {
const { xScaleType } = this.props;
const axis = axisBottom().scale(scale);
switch (xScaleType) {
case XScaleType.TIME:
axis.tickFormat(formatTime);
break;
default:
axis.tickFormat(d => d && formatSha(d));
break;
}
return axis;
}
drawAxis(): void {
if (this.graphDataMerged.lineChart.axis.x.visible) {
this.root
.append('g')
.attr('class', 'x axis')
.attr('transform', `translate(0, ${this.height})`)
.call(
axisBottom(this.x).tickFormat(domainValue =>
formatter(
this.graphDataMerged.lineChart.axis.x.format,
domainValue,
this.graphDataMerged.lineChart.axis.x.currency,
),
),
);
}
if (this.graphDataMerged.lineChart.axis.y.visible) {
this.root
.append('g')
.attr('class', 'y axis')
.call(
axisLeft(this.y).tickFormat(domainValue =>
formatter(