2c:null 2d:["$","title",null,{"children":"Time series chart example | Geoffrey Dufour | Observable"}] 32:T716,viewof panel = Inputs.form(inputs, {template: v => html`

General

${v.title} ${v.format} ${v.yMin} ${v.yMinValue} ${v.yMax} ${v.yMaxValue} ${v.legendValues}

Series1

${v.s1Metric} ${v.s1Label} ${v.s1Line} ${v.s1LineColor} ${v.s1LineAlpha} ${v.s1Fill} ${v.s1FillColor} ${v.s1FillAlpha} ${v.s1Options}

Series2

${v.s2Metric} ${v.s2Label} ${v.s2Line} ${v.s2LineColor} ${v.s2LineAlpha} ${v.s2Fill} ${v.s2FillColor} ${v.s2FillAlpha} ${v.s2Options}

Series3

${v.s3Metric} ${v.s3Label} ${v.s3Line} ${v.s3LineColor} ${v.s3LineAlpha} ${v.s3Fill} ${v.s3FillColor} ${v.s3FillAlpha} ${v.s3Options}

Chart definition

`})33:Tbcd,**How to use this example in a WEB page ?** 1. Install and import D3. 2. Copy-paste the TimeSeriesChart class below including the copyright notice into your application. 3. Create a placeholder for your chart. 4. Create a new instance of TimeSeriesChart, passing the chart options (JS object) as argument. 5. Call the `appendTo()` instance method, passing your placeholder CSS selector as argument. ```html

``` Most of the supported options are covered by the control panel above. You can refer to the resulting chart definition on the right to get an idea on how to customize your chart. **How to use a custom formatter for the y axis, the legend and the tooltip ?** Create a function that takes the formatting context (either "axis" for the y axis ticks or "value" for the legend and the tooltip) as argument and returns a value formatting function. Use the `format` option to pass your function to the constructor. ```javascript function formatterPercentage(context) { if (context === "axis") { return d => d + "%"; } else { return d => d.toFixed(2) + "%"; } } const options = { title: "My chart", data: data, format: formatterPercentage, ... }; ``` **How to activate / handle brush events ?** Create a function that takes the caller (instance) and the selected time range (start / end) as arguments and perform the desired actions. Use the `selectionHandler` option to pass your function to the constructor. ```javascript function selectionHandler(caller, start, end) { console.log(start, end); } const options = { title: "My chart", data: data, selectionHandler: selectionHandler, ... }; ``` A simple use-case would be to retrieve data for the new time range and redraw the chart (or to reload the entire page passing the new time range as query string parameters). **How to update the chart data ?** Call the `refreshData()` instance method, passing the new data array as argument. The chart should auto update (various transitions will be applied to smooth the process). This method has not been exhaustively tested and although it gives a basic idea of what can be done it's probably not the idiomatic way to deal with updates / use D3's Transitions module. ```javascript function selectionHandler(caller, start, end) { // Fetch / prepare your data here. E.g. // const newData = ...; caller.refreshData(newData); } const options = { title: "My chart", data: data, selectionHandler: selectionHandler, ... }; ```34:T4527,class TimeSeriesChart { constructor({ data, width = 500, height = 196, title, yMin, yMax, format = ".4~s", legendValues = [], rightFooter, selectionHandler, series = [] } = {}) { this._data = data; this._width = width; this._height = height; this._title = title; this._yMin = yMin; this._yMax = yMax; this._format = format; this._legendValues = legendValues; this._rightFooter = rightFooter; this._selectionHandler = selectionHandler; this._series = series; } get svg() { if (this._svg === undefined) { this._render(); } return this._svg.node(); } get data() { return this._data; } set data(data) { this.refreshData(data); } appendTo(selector) { d3.select(selector).append(() => this.svg); } refreshData(data) { this._data = data; if (this._svg === undefined) { return; } const transitionDuration = 400; const [yDomain, legendEntries] = this._prepare(data); this._xScale.domain(d3.extent(data, d => d.date)); this._yScale.domain(yDomain).nice(); this._svg.select(".x-axis") .transition() .duration(transitionDuration) .ease(d3.easeExp) .call(this._xAxis(this._xScale)); this._svg.select(".y-axis") .transition() .duration(transitionDuration) .ease(d3.easeExp) .call(this._yAxis(this._yScale)); const pathFn = this._pathFn; this._svg.selectAll(".path").each(function() { d3.select(this) .transition() .duration(transitionDuration/2) .ease(d3.easeLinear) .attr("opacity", 0.0) .on("end", function () { d3.select(this) .attr("d", pathFn[this.dataset.fn](data)) .transition() .duration(transitionDuration/2) .ease(d3.easeExp) .attr("opacity", 1.0); }); }); this._svg.selectAll(".legend-text") .data(legendEntries) .text(d => d.text); } _render() { // Environment, formatters, helpers const margin = { top: 24, right: 0, bottom: 18, left: 50 }; const legendFontSize = 11; const formatAsDate = d3.timeFormat("%-m/%-d"); const formatAsTime = d3.timeFormat("%-Hh%M"); const formatAsDateTime = d3.timeFormat("%Y-%m-%d %H:%M:%S"); const xTickFormatter = d => d.getHours() === 0 && d.getMinutes() === 0 ? formatAsDate(d) : formatAsTime(d); const yTickFormatter = typeof this._format === "function" ? this._format("axis") : d3.format(this._format); const yValueFormatter = typeof this._format === "function" ? this._format("value") : d3.format(this._format); const boundaries = { left: margin.left, right: this._width - margin.right, top: margin.top, bottom: this._height - margin.bottom }; const axisStyler = g => { g.selectAll("line") .attr("stroke", "lightgrey") .attr("stroke-opacity", .7) .attr("shape-rendering", "geometricPrecision"); if (g.node().classList.contains("y-axis")) { g.select(".domain").attr("opacity", 0.0); } else { g.select(".domain").attr("stroke", "grey"); } }; // Calculate y axis domain and prepare legendentries if needed const [yDomain, legendEntries] = this._prepare(this._data); const footerRows = (legendEntries.length === 0 && this._rightFooter !== undefined) ? 1 : legendEntries.length; // Start building the svg const svg = d3.create("svg") .attr("width", this._width) .attr("height", this._height + footerRows * (legendFontSize + 3)); const xScale = d3.scaleTime() .domain(d3.extent(this._data, d => d.date)) .range([boundaries.left, boundaries.right]); const xAxis = scale => { return g => g .attr("class", "x-axis") .attr("transform", `translate(0, ${boundaries.bottom})`) .call(d3.axisBottom(scale) .ticks(8) .tickPadding(8) .tickSizeInner(boundaries.top - boundaries.bottom) .tickSizeOuter(0) .tickFormat(xTickFormatter)) .call(axisStyler); }; const yScale = d3.scaleLinear() .domain(yDomain) .range([boundaries.bottom, boundaries.top]) .nice(); const yAxis = scale => { return g => g .attr("class", "y-axis") .attr("transform", `translate(${boundaries.left}, 0)`) .call(d3.axisLeft(scale) .ticks(5) .tickPadding(8) .tickSizeInner(boundaries.left - boundaries.right) .tickSizeOuter(0) .tickFormat(yTickFormatter)) .call(axisStyler); }; svg.append("g").call(yAxis(yScale)); svg.append("g").call(xAxis(xScale)); // A unique identifier is required for the clip-path element (no success finding // an alternative with and under Chrome). // -> Basic helper to prevent things to break if multiple components // are generated on the same page. In observable, consider using DOM.uid() instead. if (!window.hasOwnProperty("TimeSeriesChartCounter")) { window.TimeSeriesChartCounter = 0; } const clipId = `timeserieschart-clip-${++window.TimeSeriesChartCounter}`; svg.append("defs") .append("clipPath") .attr("id", clipId) .append("rect") .attr("x", boundaries.left) .attr("y", boundaries.top - 1) .attr("width", boundaries.right - boundaries.left) .attr("height", boundaries.bottom - boundaries.top + 2); let pathCnt = 0; const pathFn = {}; const tooltipMetrics = []; for (const [i, s] of this._series.entries()) { const yPrepared = (s.hasOwnProperty("negativeY") && s.negativeY) ? d => yScale(-d[s.metric]) : d => yScale(d[s.metric]); if (s.hasOwnProperty("lineColor")) { pathCnt++; const line = d3.line() .defined(d => d[s.metric] !== null) .x(d => xScale(d.date)) .y(yPrepared); svg.append("path") .datum(this._data) .attr("data-fn", `path-${pathCnt}`) .attr("class", "path") .attr("clip-path", `url(#${clipId})`) .attr("stroke", s.lineColor) .attr("fill", "none") .attr("stroke-width", 1.0) .attr("opacity", 1.0) .attr("d", line) .style("-webkit-clip-path", `url(#${clipId})`); pathFn[`path-${pathCnt}`] = line; } if (s.hasOwnProperty("fillColor")) { let baseline; let defined; pathCnt++; if (s.hasOwnProperty("fillToMetric") && s.fillToMetric) { baseline = (s.hasOwnProperty("negativeY") && s.negativeY) ? d => yScale(-d[s.fillToMetric]) : d => yScale(d[s.fillToMetric]); defined = d => d[s.metric] !== null && d[s.metric] >= d[s.fillToMetric]; } else if (s.hasOwnProperty("fillToZero") && s.fillToZero) { baseline = d => yScale(0); defined = d => d[s.metric] !== null && d[s.metric] >= 0; } else { baseline = (s.hasOwnProperty("negativeY") && s.negativeY) ? d => yScale(yScale.domain()[1]) : d => yScale(yScale.domain()[0]); defined = d => d[s.metric] !== null; } const [y0, y1] = (s.hasOwnProperty("negativeY") && s.negativeY) ? [yPrepared, baseline] : [baseline, yPrepared]; const area = d3.area() .defined(defined) .x(d => xScale(d.date)) .y0(y0) .y1(y1); svg.append("path") .datum(this._data) .attr("data-fn", `path-${pathCnt}`) .attr("class", "path") .attr("clip-path", `url(#${clipId})`) .attr("stroke", "none") .attr("fill", s.fillColor) .attr("opacity", 1.0) .attr("d", area) .style("-webkit-clip-path", `url(#${clipId})`); pathFn[`path-${pathCnt}`] = area; } if (s.hasOwnProperty("tooltip") && s.tooltip) { tooltipMetrics.push({metric: s.metric, label: s.label}); } } if (this._selectionHandler !== undefined || tooltipMetrics.length > 0) { const context = d3.create("svg:g"); let brush; if (this._selectionHandler !== undefined) { brush = d3.brushX() .extent([[boundaries.left, boundaries.top], [boundaries.right, boundaries.bottom]]) .on("start end", ({target, type, selection}) => { svg.selectAll(".interactive").style("display", "none"); if (type === "end" && selection !== null) { this._selectionHandler(this, ...selection.map(xScale.invert)); svg.select(".brush").call(target.move, null); } }); context.attr("class", "brush"); context.call(brush); svg.attr("cursor", "crosshair"); } else { context.append("rect") .attr("x", boundaries.left) .attr("y", boundaries.top) .attr("width", boundaries.right - boundaries.left) .attr("height", boundaries.bottom - boundaries.top) .attr("fill", "none") .attr("pointer-events", "all"); } if (tooltipMetrics.length > 0) { const tooltipHeight = 20 + tooltipMetrics.length * (legendFontSize + 3); const tooltip = d3.create("svg:g") .attr("class", "interactive") .attr("font-family", "monospace") .attr("font-size", legendFontSize + "px") .attr("font-weight", "normal") .attr("fill", "black") .attr("stroke", "none") .attr("opacity", .8) .style("display", "none"); tooltip.append("rect") .attr("x", 0) .attr("y", 0) .attr("width", 140) .attr("height", tooltipHeight) .attr("fill", "white") .attr("stroke", "black") .attr("stroke-opacity", .5) .attr("shape-rendering", "crispEdges"); tooltip.append("text") .attr("class", "tooltip-x-value") .attr("x", 70) .attr("y", 12) .attr("text-anchor", "middle"); let offset = 25; for (const v of tooltipMetrics) { tooltip.append("text") .attr("x", 10) .attr("y", offset) .attr("text-anchor", "start") .text(v.label); tooltip.append("text") .attr("class", "tooltip-y-value") .attr("x", 130) .attr("y", offset) .attr("text-anchor", "end"); offset += legendFontSize + 3; } const focus = svg.append("line") .attr("class", "interactive") .attr("x1", 0) .attr("x2", 0) .attr("y1", boundaries.top) .attr("y2", boundaries.bottom) .attr("stroke", "red") .attr("opacity", .5) .style("display", "none"); const bisect = d3.bisector(d => d.date).left; const flipCoordinates = [boundaries.right - 155, boundaries.bottom - tooltipHeight - 10]; const mouseMoved = ({offsetX: x, offsetY: y}) => { if (x < boundaries.left || x > boundaries.right || y < boundaries.top || y > boundaries.bottom) { return; } if (focus.style("display") !== "block") { focus.style("display", "block"); } if (tooltip.style("display") !== "block") { tooltip.style("display", "block"); } const date = xScale.invert(x); const index = bisect(this._data, date, 1); const row = date - this._data[index - 1].date > this._data[index].date - date ? this._data[index] : this._data[index - 1]; const focusX = xScale(row.date); const tooltipX = focusX < flipCoordinates[0] ? focusX + 15 : focusX - 155; const tooltipY = y < flipCoordinates[1] ? y + 10 : y - tooltipHeight - 10; focus.attr("transform", `translate(${focusX}, 0)`); tooltip.attr("transform", `translate(${tooltipX}, ${tooltipY})`); tooltip.select(".tooltip-x-value").text(formatAsDateTime(row.date)); tooltip.selectAll(".tooltip-y-value") .data(tooltipMetrics) .text(d => row[d.metric] !== null ? yValueFormatter(row[d.metric]) : "n/a"); }; if (brush !== undefined) { brush.on("brush", ({sourceEvent}) => { if (sourceEvent !== undefined && sourceEvent.type === "mousemove") { mouseMoved(sourceEvent); } }); } context .on("touchend mouseleave", () => { svg.selectAll(".interactive").style("display", "none"); }) .on("touchmove mousemove", mouseMoved); svg.append(d => context.node()); svg.append(d => tooltip.node()); } else { svg.append(d => context.node()); } } if (footerRows > 0) { const footer = svg.append("g") .attr("transform", `translate(0, ${this._height})`) .attr("font-family", "monospace") .attr("font-size", legendFontSize + "px") .attr("font-weight", "normal"); let offset = (legendFontSize + 3) / 2; if (this._rightFooter !== undefined) { footer.append("text") .attr("x", boundaries.right - 5) .attr("y", offset) .attr("text-anchor", "end") .attr("dominant-baseline", "middle") .style("white-space", "pre") .text(this._rightFooter); } for (const v of legendEntries) { footer.append("rect") .attr("width", 12) .attr("height", 4) .attr("x", margin.left / 2 + 4) .attr("y", offset - 2) .attr("rx", 2) .attr("ry", 2) .attr("fill", v.color); footer.append("text") .attr("class", "legend-text") .attr("x", margin.left / 2 + 20) .attr("y", offset) .attr("dominant-baseline", "middle") .style("white-space", "pre") .text(v.text); offset += legendFontSize + 3; } } if (this._title !== undefined) { svg.append("text") .attr("x", this._width / 2) .attr("y", margin.top / 2) .attr("font-family", "sans-serif") .attr("font-size", "12px") .attr("font-weight", "bold") .attr("text-anchor", "middle") .text(this._title); } this._xScale = xScale; this._yScale = yScale; this._xAxis = xAxis; this._yAxis = yAxis; this._pathFn = pathFn; this._svg = svg; } _prepare(data) { const yDomain = [ this._yMin !== undefined ? this._yMin : Infinity, this._yMax !== undefined ? this._yMax : -Infinity ]; const yValueFormatter = typeof this._format === "function" ? this._format("value") : d3.format(this._format); const formatter = v => v !== null && v !== undefined ? yValueFormatter(v).padEnd(9, " ") : "n/a "; const legendValues = [...new Set(this._legendValues.filter(v => ["Min", "Max", "Avg", "Last"].includes(v)))]; const legendEntries = []; for (const s of this._series) { const aggs = {}; if (s.hasOwnProperty("legend") && s.legend) { if (legendValues.includes("Min")) { aggs.min = d3.min(data, d => d[s.metric]); } if (legendValues.includes("Max")) { aggs.max = d3.max(data, d => d[s.metric]); } if (legendValues.includes("Avg")) { aggs.avg = d3.mean(data, d => d[s.metric]); } if (legendValues.includes("Last")) { aggs.last = data[data.length - 1][s.metric]; } legendEntries.push({ color: s.lineColor ?? s.fillColor ?? "white", text: s.label.padEnd(15, " ") + legendValues.map(v => `${v}: ${formatter(aggs[v.toLowerCase()])}`).join("") }); } // Calculate the y scale domain if needed. // Will use existing values when possible. if (this._yMin === undefined) { if (s.hasOwnProperty("negativeY") && s.negativeY) { yDomain[0] = aggs.hasOwnProperty("max") ? Math.min(yDomain[0], -aggs.max) : Math.min(yDomain[0], -d3.max(data, d => d[s.metric])); } else { yDomain[0] = aggs.hasOwnProperty("min") ? Math.min(yDomain[0], aggs.min) : Math.min(yDomain[0], d3.min(data, d => d[s.metric])); } } if (this._yMax === undefined) { if (s.hasOwnProperty("negativeY") && s.negativeY) { yDomain[1] = aggs.hasOwnProperty("min") ? Math.max(yDomain[1], -aggs.min) : Math.max(yDomain[1], -d3.min(data, d => d[s.metric])); } else { yDomain[1] = aggs.hasOwnProperty("max") ? Math.max(yDomain[1], aggs.max) : Math.max(yDomain[1], d3.max(data, d => d[s.metric])); } } } if (yDomain[0] === yDomain[1]) { if (this._yMax !== undefined) { yDomain[0]--; } else { yDomain[1]++; } } return [yDomain, legendEntries]; } }35:Tc05,dashboard = { d3.select("#charts-container").selectAll("svg").remove(); const width = 460; const store = []; const selectionHandler = (caller, start, stop) => { const sample = data.slice(data.findIndex(d => d.date >= start), data.findIndex(d => d.date > stop)); if (sample.length >= 6) { for (const chart of store) { chart.refreshData(sample); } } } const configurations = [ { data: data, width: width, title: "Multi-series + y-axis limits", yMin: 0, yMax: 100, legendValues: ["Min", "Max", "Avg"], selectionHandler: selectionHandler, series: [ { label: "Packets", metric: "metric1", lineColor: "green", fillColor: "#00800019", legend: true, tooltip: true }, { label: "Requests", metric: "metric3", lineColor: "red", legend: true, tooltip: true }, { label: "Price", metric: "metric4", lineColor: "#ffa500", fillColor: "#ffa50030", legend: true, tooltip: true } ] }, { data: data, width: width, title: "No fill / legend / tooltip + y-axis upper limit", format: ".2~f", yMax: 60, selectionHandler: selectionHandler, series: [ { label: "Drift", metric: "metric2", lineColor: "blue", tooltip: false } ] }, { data: data, width: width, title: "No line / brush + y-axis limits", format: ".2~f", yMin: 0, yMax: 100, legendValues: ["Last"], series: [ { label: "Requests", metric: "metric3", fillColor: "#ff000025", legend: true, tooltip: true } ] }, { data: data, width: width, title: "Fill below to + Negative Y", legendValues: ["Min", "Max", "Avg"], selectionHandler: selectionHandler, series: [ { label: "Outbound", metric: "metric4", lineColor: "orange", fillColor: "#ffa50050", fillToZero: true, legend: true, tooltip: true }, { label: "Inbound", metric: "metric4", lineColor: "red", fillColor: "#ff000050", fillToZero: true, negativeY: true, legend: true, tooltip: true }, { label: "Dummy", metric: "metric5", fillColor: "#0000ff30", fillToMetric: "metric4", }, { label: "Dummy", metric: "metric5", fillColor: "#00800030", fillToMetric: "metric4", negativeY: true } ] } ]; for (const [i, c] of configurations.entries()) { const chart = new TimeSeriesChart(c); chart.appendTo(`#chart-${i+1}`); store.push(chart); } return true; }36:T5b1,function chartDefinition(panel) { const definition = { title: panel.title, format: panel.format, legendValues: panel.legendValues, series: [] }; if (panel.yMin) { definition.yMin = panel.yMinValue; } if (panel.yMax) { definition.yMax = panel.yMaxValue; } let cnt = 0; for (let i=1; i<=3; i++) { const prefix = `s${i}`; if (panel[prefix + "Metric"] !== "disabled") { definition.series.push( { label: panel[prefix + "Label"], metric: panel[prefix + "Metric"], legend: panel[prefix + "Options"].includes("Legend"), tooltip: panel[prefix + "Options"].includes("Tooltip"), negativeY: panel[prefix + "Options"].includes("Negative Y") } ); if (panel[prefix + "Line"]) { definition.series[cnt].lineColor = panel[prefix + "LineColor"] + panel[prefix + "LineAlpha"].toString(16).padStart(2, "0"); } if (panel[prefix + "Fill"] !== "disabled") { definition.series[cnt].fillColor = panel[prefix + "FillColor"] + panel[prefix + "FillAlpha"].toString(16).padStart(2, "0"); if (panel[prefix + "Fill"] === "zero") { definition.series[cnt].fillToZero = true; } else if (panel[prefix + "Fill"] !== "bottom") { definition.series[cnt].fillToMetric = panel[prefix + "Fill"]; } } cnt++; } } return definition; }37:T6c1,inputs = { const inputs = { title: Inputs.text({label: "Title:", value: "Example chart"}), format: Inputs.text({label: "Format:", value: ".4~s"}), yMin: Inputs.toggle({label: "yMin:", value: true}), yMinValue: Inputs.range([-60, 20], {label: "yMin value:", step: 10, value: 0}), yMax: Inputs.toggle({label: "yMax:"}), yMaxValue: Inputs.range([40, 120], {label: "yMax value:", step: 10, value: 100}), legendValues: Inputs.select(["Min", "Max", "Avg", "Last"], {label: "Legend values:", multiple: true}) }; const series = { s1: ["metric3", "Outbound", true, "#77bb41", 255, "bottom", "#77bb41", 50], s2: ["disabled", "Discarded", false, "#0000FF", 255, "disabled", "#0000FF", 110], s3: ["disabled", "Inbound", false, "#FF0000", 255, "disabled", "#FF0000", 120] }; for (const [k, v] of Object.entries(series)) { inputs[k + "Metric"] = Inputs.select(options.metric, {label: "Metric:", valueof: d => d.toLowerCase(), value: v[0]}); inputs[k + "Label"] = Inputs.text({label: "Label:", value: v[1]}); inputs[k + "Line"] = Inputs.toggle({label: "Line:", value: v[2]}); inputs[k + "LineColor"] = Inputs.color({label: "Line color:", value: v[3]}); inputs[k + "LineAlpha"] = Inputs.range([0, 255], {label: "Line alpha:", step: 5, value: v[4]}); inputs[k + "Fill"] = Inputs.select(options.fill, {label: "Fill below to:", valueof: d => d.toLowerCase(), value: v[5]}); inputs[k + "FillColor"] = Inputs.color({label: "Fill color:", value: v[6]}); inputs[k + "FillAlpha"] = Inputs.range([0, 255], {label: "Fill alpha:", step: 5, value: v[7]}); inputs[k + "Options"] = Inputs.checkbox(["Tooltip", "Legend", "Negative Y"]); } return inputs; }38:[] 30:{"id":"c73ba7836e15f9bf","slug":"simple-dashboard-line-charts","title":"Time series chart example","thumbnail":"57f9a6fc66e20808bf341c5e60bfdc1ee6ebe5a1a33e94f03334fbc7712de106","access_level":"public","create_time":"$D2019-11-22T18:50:55.288Z","update_time":"$D2023-01-16T17:24:26.004Z","view_time":null,"first_public_time":"$D2019-12-01T22:47:41.244Z","has_unpublished_edits":null,"fork":false,"stars":54,"starred":false,"owner":{"type":"team","id":"eed2b48d6432938c","login":"geofduf","name":"Geoffrey Dufour","avatar_url":"https://avatars-next.observableusercontent.com/5dc623ceabedb3ccd28f3a9400ea6ade6174f0734fd8aff741da672ea8fb7926","tier":"starter_2024","bio":"Software engineer"},"version":1551,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"a8471a7466084853","login":"geofduf","name":"Geoffrey Dufour","avatar_url":"https://avatars-next.observableusercontent.com/5dc623ceabedb3ccd28f3a9400ea6ade6174f0734fd8aff741da672ea8fb7926","tier":null,"bio":"Software engineer"}],"members":[{"type":"individual","id":"a8471a7466084853","login":"geofduf","name":"Geoffrey Dufour","avatar_url":"https://avatars-next.observableusercontent.com/5dc623ceabedb3ccd28f3a9400ea6ade6174f0734fd8aff741da672ea8fb7926","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":39,"collection":{"id":"ea8328700e248089","slug":"technology","title":"Technology","owner":{"id":"f35c755083683fe5","login":"observablehq","name":"Observable"}},"type":"notebook","body":{"titling":"auto","title":"Time series chart example","cells":[{"id":8,"value":"md`# Time series chart example`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1097,"value":"md`Example of D3 time series chart with basic support for multiple series, legend, tooltip and brush.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":189,"value":"html`\n

\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":918,"value":"viewof reset = html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1253,"value":"Use the control panel below to experiment with the component options. There is no input validation / automation for dependent options. As some options do not play well together the resulting chart may sometimes seem confusing (especially with \"Negative Y\" enabled). The resulting chart definition (data omitted) is presented in JSON format.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1269,"value":"{\n const definition = chartDefinition(panel);\n d3.select(\"#chart-definition\").text(JSON.stringify(definition, null, 2));\n definition.data = data;\n definition.width = 840;\n const c = new TimeSeriesChart(definition);\n return c.svg;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1277,"value":"viewof random = Object.defineProperty(html`