Top 10 Examples of "plottable in functional component" in JavaScript
Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'plottable' 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.
// Initializing tooltip anchor
const tooltipAnchorSelection = plot.foreground().append('circle');
tooltipAnchorSelection.attr({
r: 3,
opacity: 0,
});
const tooltipAnchor = $(tooltipAnchorSelection.node());
tooltipAnchor.tooltip({
animation: false,
container: 'body',
placement: 'auto',
trigger: 'manual',
});
// Setup Interaction.Pointer
const pointer = new Plottable.Interactions.Pointer();
pointer.onPointerMove((p) => {
const closest = plot.entityNearest(p);
if (closest) {
tooltipAnchor.tooltip('show');
tooltipAnchor.attr('cx', closest.position.x);
tooltipAnchor.attr('cy', closest.position.y);
tooltipAnchor.attr('data-original-title', closest.datum.val + ' tickets');
}
});
pointer.onPointerExit(() => {
tooltipAnchor.tooltip('hide');
});
pointer.attachTo(plot);setTimeout(() => {
const clickInteraction = new Interactions.Click().onClick(this.onClick);
clickInteraction.attachTo(plot);
plot.onDetach(clickInteraction.detachFrom);
const hoverInteraction = new Interactions.Pointer()
.onPointerEnter(point => {
const entity = this.getEntityAtPoint(point);
if (entity && entity.datum.data.parentId !== this.rootNode.id) {
this.setState({ showNavController: true });
}
})
.onPointerMove(point => {
if (!this.state.showNavController) {
const entity = this.getEntityAtPoint(point);
if (entity && entity.datum.data.parentId !== this.rootNode.id) {
this.setState({ showNavController: true });
}
}
})
.onPointerExit(({ x, y }) => {
if (x <= 0 || x >= this.props.width || y <= 0 || y >= this.props.height) { // is cursor out of bounds?private updatePlotFromData(treeData: TreeMapData) {
const data: TreeMapData[] = this.getNodeDescendants(treeData).slice().map(dat => ({ ...dat }));
data[0].parentId = ''; // make parent node
const root: HierarchyNode = this.createHierarchy(data);
this.plot.datasets([ new Dataset(this.layout(root).children) ]);
this.resetDomain(this.props);
}const yScale = new Plottable.Scales.Linear()
const colorScale = new Plottable.Scales.InterpolatedColor()
.range(['#5279C7', '#BDCEF0'])
this.plot = new Plottable.Plots.Bar()
.addDataset(this.totaledRowsDataset)
.addDataset(this.filteredRowsDataset)
.attr('fill', (datum, index, dataset) => dataset.metadata().colorBucket, colorScale)
.x((datum) => datum.label, xScale)
.y((datum) => datum.value, yScale)
.animated(true)
// .labelsEnabled(true)
const selectedData = (selected) ? [selected.value] : []
this.selectedDataset = new Plottable.Dataset(selectedData)
const rectangle = new Plottable.Plots.Rectangle()
.addDataset(this.selectedDataset)
.x((datum) => datum, xScale)
.y(0)
.y2((datum) => rectangle.height())
.attr('fill', '#f99300')
.attr('opacity', 0.3)
xScale.innerPadding(0.4) // See https://github.com/palantir/plottable/issues/3426
const group = new Plottable.Components.Group([ this.plot, rectangle ])
if (onSelect) {
const interaction = new Plottable.Interactions.Click()
interaction.onClick(this.onClickPlot.bind(this))
interaction.attachTo(this.plot)return {
x: hour,
y: weekday,
val: (ticketsByHour[hour] || []).length,
};
});
});
const xScale = new Plottable.Scales.Category();
const yScale = new Plottable.Scales.Category();
const colorScale = new Plottable.Scales.InterpolatedColor();
colorScale.range(['#eee', '#5279C7']);
const data = _.flatten(groupedTickets);
const plot = new Plottable.Plots.Rectangle()
.addDataset(new Plottable.Dataset(data))
.x((d) => d.x, xScale)
.y((d) => d.y, yScale)
.attr('fill', (d) => d.val, colorScale)
.attr('stroke', '#fff')
.attr('stroke-width', 2)
.renderTo('#week');
// Initializing tooltip anchor
const tooltipAnchorSelection = plot.foreground().append('circle');
tooltipAnchorSelection.attr({
r: 3,
opacity: 0,
});
const tooltipAnchor = $(tooltipAnchorSelection.node());
tooltipAnchor.tooltip({
animation: false,componentDidMount () {
const { totaledRows, filteredRows, onSelect, selected } = this.props
const plotGroupItems = []
this.totaledRowsDataset = new Plottable.Dataset(totaledRows)
.metadata({ colorBucket: 5 })
this.filteredRowsDataset = new Plottable.Dataset(filteredRows)
.metadata({ colorBucket: 3 })
const xScale = new Plottable.Scales.Time()
.padProportion(0) // remove outer padding
const xAxis = new Plottable.Axes.Time(xScale, 'bottom')
const yScale = new Plottable.Scales.Linear()
const colorScale = new Plottable.Scales.InterpolatedColor()
.range(['#5279C7', '#BDCEF0'])
this.plot = new Plottable.Plots.Area()
.addDataset(this.totaledRowsDataset)
.addDataset(this.filteredRowsDataset)
.attr('fill', (datum, index, dataset) => dataset.metadata().colorBucket, colorScale)
.x((datum) => new Date(datum.label), xScale)
.y((datum) => datum.value, yScale)
.animated(true)
plotGroupItems.push(this.plot)componentDidMount () {
const { totaledRows, filteredRows, onSelect, selected } = this.props
const plotGroupItems = []
this.totaledRowsDataset = new Plottable.Dataset(totaledRows)
.metadata({ colorBucket: 5 })
this.filteredRowsDataset = new Plottable.Dataset(filteredRows)
.metadata({ colorBucket: 3 })
const xScale = new Plottable.Scales.Time()
.padProportion(0) // remove outer padding
const xAxis = new Plottable.Axes.Time(xScale, 'bottom')
const yScale = new Plottable.Scales.Linear()
const colorScale = new Plottable.Scales.InterpolatedColor()
.range(['#5279C7', '#BDCEF0'])
this.plot = new Plottable.Plots.Area()
.addDataset(this.totaledRowsDataset)
.addDataset(this.filteredRowsDataset)
.attr('fill', (datum, index, dataset) => dataset.metadata().colorBucket, colorScale)
.x((datum) => new Date(datum.label), xScale)
.y((datum) => datum.value, yScale)
.animated(true)
plotGroupItems.push(this.plot)
const selectedData = (selected) ? [selected.value] : []
this.selectedDataset = new Plottable.Dataset(selectedData)
const rectangle = new Plottable.Plots.Rectangle()
.addDataset(this.selectedDataset)const ticketGroup = ticketsByWeekday[weekday] || [];
const ticketsByHour = _.groupBy(ticketGroup, (ticket) => {
return moment(ticket.createdAt).hour();
});
return _.map(_.range(24), (hour) => {
return {
x: hour,
y: weekday,
val: (ticketsByHour[hour] || []).length,
};
});
});
const xScale = new Plottable.Scales.Category();
const yScale = new Plottable.Scales.Category();
const colorScale = new Plottable.Scales.InterpolatedColor();
colorScale.range(['#eee', '#5279C7']);
const data = _.flatten(groupedTickets);
const plot = new Plottable.Plots.Rectangle()
.addDataset(new Plottable.Dataset(data))
.x((d) => d.x, xScale)
.y((d) => d.y, yScale)
.attr('fill', (d) => d.val, colorScale)
.attr('stroke', '#fff')
.attr('stroke-width', 2)
.renderTo('#week');
// Initializing tooltip anchor
const tooltipAnchorSelection = plot.foreground().append('circle');
tooltipAnchorSelection.attr({
r: 3,componentDidMount () {
const { totaledRows, filteredRows, onSelect, selected } = this.props
this.totaledRowsDataset = new Plottable.Dataset(totaledRows)
.metadata({ colorBucket: 5 })
this.filteredRowsDataset = new Plottable.Dataset(filteredRows)
.metadata({ colorBucket: 3 })
const xScale = new Plottable.Scales.Category()
const xAxis = new Plottable.Axes.Category(xScale, 'bottom')
const yScale = new Plottable.Scales.Linear()
const colorScale = new Plottable.Scales.InterpolatedColor()
.range(['#5279C7', '#BDCEF0'])
this.plot = new Plottable.Plots.Bar()
.addDataset(this.totaledRowsDataset)
.addDataset(this.filteredRowsDataset)
.attr('fill', (datum, index, dataset) => dataset.metadata().colorBucket, colorScale)
.x((datum) => datum.label, xScale)
.y((datum) => datum.value, yScale)
.animated(true)
// .labelsEnabled(true)
const selectedData = (selected) ? [selected.value] : []
this.selectedDataset = new Plottable.Dataset(selectedData)
const rectangle = new Plottable.Plots.Rectangle()
.addDataset(this.selectedDataset)
.x((datum) => datum, xScale)componentDidMount () {
const { totaledRows, filteredRows, onSelect, selected } = this.props
this.totaledRowsDataset = new Plottable.Dataset(totaledRows)
.metadata({ colorBucket: 5 })
this.filteredRowsDataset = new Plottable.Dataset(filteredRows)
.metadata({ colorBucket: 3 })
const xScale = new Plottable.Scales.Category()
const xAxis = new Plottable.Axes.Category(xScale, 'bottom')
const yScale = new Plottable.Scales.Linear()
const colorScale = new Plottable.Scales.InterpolatedColor()
.range(['#5279C7', '#BDCEF0'])
this.plot = new Plottable.Plots.Bar()
.addDataset(this.totaledRowsDataset)
.addDataset(this.filteredRowsDataset)
.attr('fill', (datum, index, dataset) => dataset.metadata().colorBucket, colorScale)
.x((datum) => datum.label, xScale)
.y((datum) => datum.value, yScale)
.animated(true)
// .labelsEnabled(true)
const selectedData = (selected) ? [selected.value] : []