2a:null 2b:["$","title",null,{"children":"What story do two decades of weather data tell you? | Markus J. Ankenbrand | Observable"}] 30:T57c,md`# What story do two decades of weather data tell you? What story do two decades of daily weather data tell you? You are about to find out 😊. As usual, I picked these five major cities across 1000 miles of the US West Coast. The top part of the graph contains two stacked column charts. The left one represents the temperature distribution of the current month, and the right one shows weather condition distribution. The line chart visualizes the temperature trend; as you hover across the chart, a reference line will follow along with high/low temperatures appearing on the side. The big colorful grid depicts the detailed daily weather information using icons, colors (temperature, condition or hybrid), and tooltip. On top of each column has a colored number that represents the monthly average temperature of the year. Let me show you how lovely the weather is in LA. First, choose **Seattle**, **January** and set the **Cell Color** to **Condition** then just stare at the graph for one second. Now change the city to **Los Angeles** => Sun is always shining in LA, even in January 😎. Everything you see here is encapsulated as a component. You can render this beautiful Infographic in just a few lines of code (see below for API reference and source code). If you are interested in other cities, the weather dataset is available to download from visualcrossing.com using their API. `31:T41b,viewof options = { const seperator = ''; return form(html``) }32:Ta6b,md`## API Reference and Source Code The **WeatherGrid** renders historical weather data into a beautiful and interactive Infographic. * **WeatherGrid(container)** - Constructs a new WeatherGrid with default settings. The container can be a svg or any g element. * **options(options)** - Overrides the default settings and returns this chart. * options.**tempUnit** - sets the unit of temperature. Default is ***"°F"***. * options.**tempScale** - sets the scale of temperature to *"month"* or *"year"*. Default is ***"month"***. * options.**cellColor** - specifies the cell color to represent *"temperature"*, *"condition"* or *"hybrid"*. Default is ***"temperature"***. * options.**dateFormat** - sets the format (d3.parseTime) for parsing dates. Default is ***"%m/%d/%Y"***. * **font(font)** - Overrides the default font settings and returns this chart. * font.**fontFamily** - sets the font. Default is ***"Times New Roman"***. * font.**size** - * size.**statistic** - sets the font size of labels in statistic charts. Default is ***9***. * size.**legend** - sets the font size of legend. Default is ***10***. * size.**gridLabel** - sets the font size of grid labels. Default is ***12***. * **tooltip(tooltip)** - Overrides the tooltip settings and returns this chart. * tooltip.**color** - sets the text color of tooltip. * tooltip.**boxColor** - sets the background color of the tooltip box. * tooltip.**boxOpacity** - sets the opacity of the tooltip box. Default is ***0.8***. * **icon(icon)** - Sets the icon for each weather condition and returns this chart. * icon.**clear** - the url of clear icon * icon.**cloudy** - the url of cloudy icon * icon.**overcast** - the url of overcast icon * icon.**rain** - the url of rain icon * icon.**snow** - the url of snow icon * **column(column)** - Sets the column names for parsing weather data and returns this chart. * column.**date** - the column name of date. Default is ***"date"***. * column.**low** - the column name of low temperature. Default is ***"min"***. * column.**high** - the column name of high temperature. Default is ***"max"***. * column.**avg** - the column name of average temperature. Default is ***"avg"***. * column.**condition** - the column name of weather condition. Default is ***"condition"***. * **month(_)** - sets the current month and return this chart. Default is ***0*** (January). * **data(_)** - Sets the historical weather data and return this chart. * **render()** - Renders the visualization and returns this chart. * **onhover(d)** - Occurs when hovers over a cell. * **onclick(d)** - Occurs when clicks over a cell.`33:T7a07,WeatherGrid = { // https://github.com/analyzer2004/weathergrid // Copyright 2021 Eric Lo class InfoGraphic { constructor(container) { this._container = container; this._infoBox = null; this._textBox = null; this._charBox = null; this._tooltip = { color: "black", boxColor: "white", boxOpacity: 0.8 }; // events this._onhover = null; this._onclick = null; } tooltip(_) { return arguments.length ? (this._tooltip = Object.assign(this._tooltip, _), this) : this._tooltip; } onhover(_) { return arguments.length ? (this._onhover = _, this) : this._onhover; } onclick(_) { return arguments.length ? (this._onclick = _, this) : this._onclick; } _init() { this._textBox = this._container .append("text") .attr("font-family", this._font.fontFamily) .style("visibility", "hidden"); String.prototype.capitalize = function () { return this.charAt(0).toUpperCase() + this.slice(1) } } // Tooltip // _attachEvents(target, content) { target .on("pointerenter", (e, d) => { this._showTooltip(e, content(d)); if (this._onhover) this._onhover(d); }) .on("pointermove", (e, d) => { this._moveTooltip(e); }) .on("pointerleave", () => { this._hideTooltip(); }) .on("click", (e, d) => { if (this._onclick) this._onclick(d); }); } _showTooltip(e, info) { if (!this._charBox) { this._charBox = this._textBox.text("M").node().getBBox(); } var max = 0; info.forEach(s => { const l = this._calcTextLength(s); if (l > max) max = l; }) if (!this._infoBox) this._infoBox = this._og .append("g") .attr("fill", this._tooltip.color) .call(g => g.append("rect") .attr("class", "ibbg") .attr("opacity", this._tooltip.boxOpacity) .attr("stroke", "#aaa") .attr("stroke-width", 0.5) .attr("rx", 4).attr("ry", 4) .attr("x", -5).attr("y", -5) .attr("fill", this._tooltip.boxColor)); const spacing = 1.1; this._infoBox .style("visibility", "visible") .select(".ibbg") .attr("width", max + 20).attr("height", spacing * this._charBox.height * info.length + 5); this._infoBox .selectAll("text") .data(info) .join( enter => { enter .append("text") .attr("dy", (d, i) => `${spacing * i + 1}em`) .attr("font-weight", (d, i) => i === 0 ? "bold" : "") .text(d => d); }, update => update.text(d => d), exit => exit.remove() ); this._moveTooltip(e); } _moveTooltip(e) { const converted = this._convertCoordinate(e, this._og), box = this._infoBox.node().getBBox(); const { left, top } = this._calcTooltipPosition(converted, box); this._infoBox.attr("transform", `translate(${left + 10},${top + 10})`); } _calcTooltipPosition(converted, box) { return { left: converted.x, top: converted.y }; } _hideTooltip(d) { if (this._infoBox) this._infoBox.style("visibility", "hidden"); } // Utilities // _getSVG() { let curr = this._container.node(); while (curr && curr.tagName !== "svg") curr = curr.parentElement; return curr; } _convertCoordinate(e, g) { const svg = this._getSVG(); if (svg) { // convert to SVG coordinates const p = svg.createSVGPoint() p.x = e.clientX; p.y = e.clientY; return p.matrixTransform(g.node().getScreenCTM().inverse()); } else { throw "Unable to find SVG element"; } } _calcTextLength(text) { return this._textBox.text(text).node().getBBox().width; } } class WeatherGrid extends InfoGraphic { constructor(container) { super(container); this._og = null; // Outer group this._month = 0; this._months = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"]; this._scheme = ["#d73027", "#fc8d59", "#fee090", "#d1e5f0", "#67a9cf", "#2166ac"]; this._condColors = { clear: { color: "#fee090", icon: "" }, cloudy: { color: "#e7d8c9", icon: "" }, overcast: { color: "#ddd", icon: "" }, rain: { color: "#98c1d9", icon: "" }, snow: { color: "#c2dfe3", icon: "" } }; this._elemColors = { tempHigh: this._scheme[1], tempLow: this._scheme[4], tempAvg: "#aaa" }; this._options = { tempUnit: "°F", tempScale: "month", cellColor: "temperature", dateFormat: "%m/%d/%Y" }; this._font = { fontFamily: "Times New Roman", size: { statistic: 9, legend: 10, gridLabel: 12 } }; this._data = null; this._monthlyData = null; this._groupedData = null; this._years = null; this._days = null; this._tempSegs = null; this._column = { date: "date", low: "min", high: "max", avg: "avg", condition: "condition" }; this._elemDims = { legend: 100, // legend width dayLabel: 40, // day label width tempChart: 100, // temperature chart height statChart: 100, // statistic chart height avgLabel: 30, // average temperature label height yearLabel: 70, // year label height partMargin: 10, // margin between main parts }; this._gridMargin = { left: this._elemDims.legend + this._elemDims.dayLabel, top: this._elemDims.avgLabel + this._elemDims.yearLabel }; this._iconSize = 28; this._cellPadding = 4; this._gridDims = { width: 0, height: 0 } // Scales this._x = null; this._y = null; this._c = null; this._tempY = null; } options(_) { return arguments.length ? (this._options = Object.assign(this._options, _), this) : this._options; } font(_) { return arguments.length ? (this._font = Object.assign(this._font, _), this) : this._font; } month(_) { return arguments.length ? (this._month = _, this) : this._month; } column(_) { return arguments.length ? (this._column = _, this) : this._column; } icon(_) { if (arguments.length) { this._condColors.clear.icon = _.clear; this._condColors.cloudy.icon = _.cloudy; this._condColors.overcast.icon = _.overcast; this._condColors.rain.icon = _.rain; this._condColors.snow.icon = _.snow; return this; } else { return Object .keys(this._condColors) .map(k => this._condColors[k].icon); } } data(_) { return arguments.length ? (this._data = _, this) : this._data; } _updateViewbox() { const e = this._elemDims, g = this._gridDims, w = e.legend + e.dayLabel + g.width + 10, h = e.statChart + e.tempChart + e.partMargin + e.avgLabel + e.yearLabel + g.height; const svg = this._getSVG(); if (svg) d3.select(svg).attr("viewBox", `0,0,${w},${h}`); return { w, h }; } render() { this._init(); this._process(); this._initScales(); this._render(); return this; } _init() { super._init(); } _process() { const c = this._column, condMap = this._getConditionMap(); // Transform and filter this._monthlyData = this._data.map(d => ({ date: d3.timeParse(this._options.dateFormat)(d[c.date]), max: +d[c.high], min: +d[c.low], avg: +d[c.avg], cond: condMap.get(d[c.condition]) })).filter(d => d.date.getMonth() === this._month); // Group by year const grouped = d3.group(this._monthlyData, d => d.date.getFullYear()); for (let [k, v] of grouped) { grouped.set(k, { year: k, max: d3.max(v.map(d => d.max)), min: d3.min(v.map(d => d.min)), avg: v.reduce((a, b) => a + b.avg, 0) / v.length, data: v }); } this._groupedData = grouped; this._years = [...grouped.keys()]; this._days = [...new Set(this._monthlyData.map(d => d.date.getDate()))]; this._gridDims.width = (this._iconSize + this._cellPadding * 2 + 1) * this._years.length; this._gridDims.height = (this._iconSize + this._cellPadding * 2 + 1) * d3.max(this._days); } _getConditionMap() { const map = new Map(); map.set("Rain, Overcast", "rain"); map.set("Rain, Partially cloudy", "rain"); map.set("Rain", "rain"); map.set("Partially cloudy", "cloudy"); map.set("Overcast", "overcast"); map.set("Clear", "clear"); map.set("Snow", "snow"); return map; } _initScales() { const padding = 0.035; this._x = d3.scaleBand().domain(this._years).range([0, this._gridDims.width]).padding([padding]); this._y = d3.scaleBand().domain(this._days).range([0, this._gridDims.height]).padding([padding]); let ext = d3.extent(this._monthlyData.flatMap(d => [d.min, d.max])).reverse(); this._tempY = d3.scaleLinear().domain(ext).range([0, this._elemDims.tempChart]).nice(); if (this._options.tempScale === "month") ext = d3.extent(this._monthlyData.map(d => d.avg)); else ext = d3.extent(this._data.map(d => d.avg)); const sample = this._sample(ext, this._scheme.length + 1).reverse(); this._tempSegs = this._scheme.map((d, i) => ({ color: d, s: sample[i + 1], e: sample[i] })); const segs = this._tempSegs; this._c = t => { for (let i = 0; i < segs.length; i++) { if (t >= segs[i].s && t <= segs[i].e) return segs[i].color; } return "#eee"; } } _render() { const { w, h } = this._updateViewbox(); this._renderStatistics(w); this._og = this._container.append("g") .attr("font-family", this._font.fontFamily) .attr("transform", `translate(0,${this._elemDims.statChart})`); this._addFilter(); this._renderDateLabels(); this._renderYearColumns(); this._renderLegend(); this._renderTempChart(); } // Weather grid renderer // _addFilter() { return this._og .append("defs") .append("filter") .attr("id", "shadow") .call(f => { f .append("feDropShadow") .attr("dx", 0.5).attr("dy", 0.5) .attr("flood-color", "#bbb") .attr("stdDeviation", 0.5); f .append("feColorMatrix") .attr("values", "-1 0 0 0 1 0 -1 0 0 1 0 0 -1 0 1 0 0 0 1 0"); }); } _renderDateLabels() { return this._og .selectAll("date") .data(this._days) .join("g") .attr("class", "date") .attr("transform", d => `translate(${this._elemDims.legend},${this._y(d) + this._elemDims.tempChart + this._elemDims.partMargin + this._gridMargin.top})`) .call(g => { g .append("rect") .attr("width", this._elemDims.dayLabel) .attr("height", this._y.bandwidth()) .attr("fill", "#eee"); g .append("text") .attr("x", this._elemDims.dayLabel / 2) .attr("y", this._y.bandwidth() / 2) .attr("dy", "0.3em") .attr("text-anchor", "middle") .attr("fill", "#666") .text(d => d); }); } _renderYearColumns() { const that = this, colorIsTemp = this._options.cellColor === "temperature", colorIsHybrid = this._options.cellColor === "hybrid", b = this._x.bandwidth(), hb = b / 2, yb = this._y.bandwidth(); const df = 250 / this._years.length; const cols = this._og.append("g") .attr("transform", `translate(${this._gridMargin.left},${this._elemDims.tempChart + this._elemDims.partMargin})`) .selectAll("year") .data(this._groupedData) .join("g") .attr("class", "year") .attr("transform", d => `translate(${this._x(d[0])},0)`) .call(drawTempLabel) .call(drawYearLabel) .call(drawCell); this._attachEvents( cols.selectAll(".cell"), d => [ d.date.toLocaleDateString(), d.cond.capitalize(), this._formatTemp("High", d.max), this._formatTemp("Avg", d.avg), this._formatTemp("Low", d.min) ] ); function drawTempLabel(g) { g .append("g") .attr("fill", d => that._c(d[1].avg)) .call(ag => { ag .append("text") .attr("x", hb) .attr("y", 10) .attr("dy", "0.3em") .attr("text-anchor", "middle") .attr("font-weight", "bold") .text(d => d[1].avg.toFixed(0)); ag .append("rect") .attr("y", that._elemDims.avgLabel - 10) .attr("width", b) .attr("height", 8) }); } function drawYearLabel(g) { g .append("rect") .attr("y", that._elemDims.avgLabel) .attr("width", b) .attr("height", that._elemDims.yearLabel) .attr("fill", "#eee"); const ty = that._elemDims.yearLabel / 2 + that._elemDims.avgLabel; g .append("text") .attr("class", "yearLabel") .attr("x", hb) .attr("y", ty) .attr("text-anchor", "middle") .attr("dy", "0.3em") .attr("fill", "#666") .attr("transform", `rotate(-90,${hb},${ty})`) .text(d => d[0]); } function drawCell(g) { g .selectAll("cell") .data(d => d[1].data) .join("g") .attr("class", "cell") .attr("transform", d => `translate(0, ${that._y(d.date.getDate()) + that._gridMargin.top})`) .call(cell => { cell .append("rect") .attr("x", 0).attr("y", 0) .attr("width", b).attr("height", yb) .attr("stroke", "#eee") .attr("stroke-width", 0.1) .attr("fill", d => { return colorIsTemp ? that._c(d.avg) : that._condColors[d.cond].color; }); if (colorIsHybrid) { cell .append("rect") .attr("x", 0).attr("y", yb * .75) .attr("width", b).attr("height", yb * .25) .attr("stroke", "#eee") .attr("stroke-width", 0.1) .attr("fill", d => that._c(d.avg)); } cell .append("image") .attr("width", that._iconSize) .attr("height", that._iconSize) .attr("x", that._cellPadding).attr("y", that._cellPadding) .attr("href", d => that._condColors[d.cond].icon) .style("filter", "url(#shadow)"); }); } } // Temperature Chart renderer // _renderTempChart() { const that = this; const gg = this._og.append("g") .attr("transform", `translate(${this._gridMargin.left},0)`); gg .append("g") .call(g => { g .append("rect") .attr("width", this._gridDims.width) .attr("height", this._elemDims.tempChart) .attr("opacity", 1).attr("fill", "white"); drawLine(g, this._elemColors.tempHigh, "max"); drawLine(g, this._elemColors.tempLow, "min"); drawLine(g, this._elemColors.tempAvg, "avg"); }) .call(g => { const n = this._tempY.domain()[0], m = this._tempY.domain()[1], ticks = [n, Math.round((n + m) / 2), m]; g .append("g") .attr("fill", "#ddd") .attr("stroke-width", 0.5) .attr("transform", `translate(${this._gridDims.width - this._x.bandwidth() / 2},0)`) .call(d3.axisRight(this._tempY).tickValues(ticks)) .call(g => { g.select(".domain").remove(); g.selectAll(".tick text").attr("fill", "#666"); g.selectAll(".tick line").attr("stroke-color", "#666"); }) }); this._drawConnector(); this._drawTempIndicator(gg); function drawLine(g, color, prop) { g .append("path") .datum([...that._groupedData.values()]) .attr("stroke", color) .attr("fill", "none") .attr("d", d => line(prop)(d)); } function line(prop) { return d3.line() .defined(d => !isNaN(d[prop])) .x(d => that._x(d.year) + that._x.bandwidth() / 2) .y(d => that._tempY(d[prop])); } } _drawConnector() { const cx = this._gridMargin.left + this._x.bandwidth() / 2 - 10, cy = this._tempY(this._groupedData.values().next().value.avg); this._og .append("circle") .attr("cx", cx).attr("cy", cy).attr("r", 2.5) .attr("fill", this._elemColors.tempAvg); this._og .append("text") .attr("font-size", "8pt") .attr("text-anchor", "end") .attr("x", cx - 5).attr("y", cy) .attr("dy", "-0.5em") .attr("fill", this._elemColors.tempAvg) .text("Average"); const ed = this._elemDims; this._og .append("path") .attr("d", `M ${cx} ${cy} H ${cx - 50} V ${ed.tempChart + ed.partMargin + 10} H ${cx - 10}`) .attr("fill", "none") .attr("stroke", this._elemColors.tempAvg) .attr("stroke-width", 1); } _drawTempIndicator(g) { const that = this, years = this._og.selectAll(".yearLabel"); const line = g.append("g") .attr("opacity", 0) .attr("font-size", "9pt") .attr("font-weight", "bold"); line.append("line") .attr("stroke", "#999") .attr("x1", 0).attr("y1", 0) .attr("x2", 0).attr("y2", this._elemDims.tempChart); const high = line.append("text") .attr("fill", this._elemColors.tempHigh) .attr("dy", "-1em") .attr("transform", `translate(5,${this._elemDims.tempChart})`); const low = line.append("text") .attr("fill", this._elemColors.tempLow) .attr("transform", `translate(5,${this._elemDims.tempChart})`); g .on("pointerenter", () => line.attr("opacity", 1)) .on("pointermove", (e, d) => moveTempLine(e, d)) .on("pointerleave", () => { line.attr("opacity", 0); years.attr("fill", "#666").attr("font-weight", "normal"); }); const weathers = [...that._groupedData.values()], b = this._x.bandwidth(), hb = b / 2, xr = this._x.range(); function moveTempLine(e, d) { const converted = that._convertCoordinate(e, g), pos = converted.x; if (pos >= hb && pos <= xr[1] - hb) { const left = xr[0], right = xr[1]; const index = d3.bisect(d3.range(left, right, b), pos - hb); const weather = weathers[index - 1]; high.text(that._formatTemp("High", weather.max)); low.text(that._formatTemp("Low", weather.min)); const hbox = high.node().getBBox(), lbox = low.node().getBBox(); const w = hbox.width > lbox.width ? hbox.width : lbox.width; const tx = pos + w > right ? -w : 5; high.attr("transform", `translate(${tx},${that._elemDims.tempChart})`); low.attr("transform", `translate(${tx},${that._elemDims.tempChart})`); line.attr("transform", `translate(${pos},0)`); years .attr("fill", (d, i) => i === index - 1 ? "black" : "#666") .attr("font-weight", (d, i) => i === index - 1 ? "bold" : "normal"); } } return line; } // Legend renderer // _renderLegend() { const w = 20; return this._og .append("g") .selectAll("g") .data(this._tempSegs) .join("g") .attr("font-size", "10pt") .attr("transform", (d, i) => `translate(0,${i * (w + 5)})`) .call(g => { g .append("rect") .attr("width", w).attr("height", w) .attr("fill", d => d.color); g .append("line") .attr("x1", 0).attr("x2", (d, i) => i === 0 ? 70 : 45) .attr("y1", w).attr("y2", w) .attr("stroke", "#666") .attr("stroke-width", 0.5) .attr("stroke-dasharray", "1"); g .append("text") .attr("x", w + 10) .attr("dy", "18") .attr("fill", "#666") .text((d, i) => { if (i === 0) { return `> ${d.s}${this._options.tempUnit}`; } else { return `${d.s}`; } } ); }); } // Statistics renderer // _renderStatistics(width) { const margin = 10, w = (width - margin * 2) / 2; const g = this._container .append("g") .attr("fill", "#666") .attr("font-family", this._font.fontFamily) .attr("transform", `translate(${margin},0)`); this._renderTempStatistic(g, w); this._renderCondStatistic(g, w + margin, w); } _renderTempStatistic(g, width) { const counts = d3.rollup(this._monthlyData.map(d => this._c(d.avg)), v => v.length, d => d); let v = 0; const data = [...this._scheme] .filter(d => counts.get(d) !== undefined) .reverse() .map((d, i) => { const days = counts.get(d), pct = days / this._monthlyData.length; return { color: d, days: days, pct: pct, s: v, e: v += days } }); this._renderStatistic(g, data, `${this._months[this._month]} average temperature`, 0, width); } _renderCondStatistic(g, left, width) { const counts = d3.rollup(this._monthlyData.map(d => d.cond), v => v.length, d => d); let v = 0; const data = Object.keys(this._condColors) .filter(k => counts.get(k) !== undefined) .map(k => { const days = counts.get(k), pct = days / this._monthlyData.length, cond = this._condColors[k]; return { color: cond.color, icon: cond.icon, days: days, pct: pct, s: v, e: v += days } }); const iconSize = 14; this._renderStatistic( g, data, "Weather condition", left, width, (g, x) => { g .append("image") .attr("x", d => x(d.s) + (x(d.e) - x(d.s) - iconSize) / 2 + left) .attr("y", 50) .attr("width", iconSize).attr("height", iconSize) .attr("opacity", 0.65) .attr("href", d => d.icon); } ); } _renderStatistic(g, data, caption, left, width, addition) { const x = d3.scaleLinear().domain([data[0].s, data[data.length - 1].e]).range([0, width]); g .append("text") .attr("x", left) .attr("dy", "1em") .attr("font-size", "10pt") .text(caption); g .append("text") .attr("x", left + width) .attr("dy", "1.5em") .attr("text-anchor", "end") .attr("font-size", "8pt") .text("%"); g .append("line") .attr("x1", left).attr("x2", left + width) .attr("y1", 20).attr("y2", 20) .attr("stroke", "#666") .attr("stroke-width", 0.25) .attr("stroke-dasharray", "1"); const stats = g .append("g") .attr("transform", "translate(0, 20)") .selectAll("g") .data(data) .join("g") .attr("text-anchor", "middle") .attr("font-size", "9pt") .call(g => { g .append("text") .attr("x", d => x(d.s) + (x(d.e) - x(d.s)) / 2 + left) .attr("dy", "1em") .text((d, i) => { const p = d.pct * 100; return p > 1 ? p.toFixed(0) : ""; }); g .append("rect") .attr("x", d => x(d.s) + left) .attr("y", 15) .attr("width", d => x(d.e) - x(d.s)) .attr("height", 30) .attr("fill", d => d.color); if (addition) addition(g, x); }); this._attachEvents( stats, d => [ `${d.days} days`, `${(d.pct * 100).toFixed(1)}%` ] ); } _calcTooltipPosition(converted, box) { const mapped = { x: converted.x - this._elemDims.legend, y: converted.y - this._elemDims.statChart - this._elemDims.tempChart }; const left = mapped.x + box.width > this._gridDims.width ? converted.x - box.width : converted.x, top = mapped.y + box.height > this._gridDims.height ? converted.y - box.height : converted.y; return { left, top }; } // Utilities // _sample(extent, n) { const min = Math.floor(extent[0]), max = Math.ceil(extent[1]), step = (max - min) / (n - 1); const s = []; for (let i = min; i < max; i += step) { s.push(Math.ceil(i)); } if (s[s.length - 1] != max) s.push(max); return s; } _formatTemp(caption, v) { return `${caption}: ${v}${this._options.tempUnit}`; } } return WeatherGrid; 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2e:{"id":"d89c5619276a57a9","slug":"weather-grid","title":"What story do two decades of weather data tell you?","thumbnail":"c1bffbd4e7e0e1b009ac11ae9aa904d6a0e4a81878414ffb0d8fb414f5a5fef7","access_level":"public","create_time":"$D2022-01-31T08:16:58.986Z","update_time":"$D2022-01-31T13:19:00.925Z","view_time":null,"first_public_time":"$D2022-01-31T13:23:21.040Z","fork":{"id":"36e634ab35d25aa6","slug":"weather-grid","title":"What story do two decades of weather data tell you?","owner":{"id":"4d412f762b1c1ef6","login":"analyzer2004","name":"Eric Lo"}},"stars":1,"starred":false,"owner":{"type":"team","id":"ae8a0460baa5d15d","login":"iimog","name":"Markus J. Ankenbrand","avatar_url":"https://avatars-next.observableusercontent.com/ce692fe671194d1c28fa2ebe4f7bd341a1fa4542bf9ab91ccf28e39413ef061e","tier":"starter_2024"},"version":207,"publish_version":207,"role":null,"authored":false,"authors":[{"type":"individual","id":"63b48dd6149b9d6a","login":"iimog","name":"Markus J. Ankenbrand","avatar_url":"https://avatars-next.observableusercontent.com/ce692fe671194d1c28fa2ebe4f7bd341a1fa4542bf9ab91ccf28e39413ef061e","tier":null}],"members":[{"type":"individual","id":"63b48dd6149b9d6a","login":"iimog","name":"Markus J. Ankenbrand","avatar_url":"https://avatars-next.observableusercontent.com/ce692fe671194d1c28fa2ebe4f7bd341a1fa4542bf9ab91ccf28e39413ef061e","tier":null,"role":"editor"}],"comments":[{"id":"157375555d744038","reply_to_id":null,"content":"Adding \"Snow\" to the condition map.","create_time":"$D2022-01-31T13:21:36.281Z","update_time":null,"resolved":false,"user":{"type":"individual","id":"63b48dd6149b9d6a","login":"iimog","name":"Markus J. Ankenbrand","avatar_url":"https://avatars-next.observableusercontent.com/ce692fe671194d1c28fa2ebe4f7bd341a1fa4542bf9ab91ccf28e39413ef061e","tier":null}}],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"title":"What story do two decades of weather data tell you?","cells":[{"id":0,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":40,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":22,"value":"chart = { \n const svg = d3.create(\"svg\");\n new WeatherGrid(svg)\n .options({cellColor: options.color, tempScale: options.scale})\n .icon(icon) \n .month(+options.month)\n .data(weathers[options.city].dataset) \n .render();\n \n return svg.node();\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":109,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":139,"value":"md`#### Source code`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":142,"value":"md`## Data and other stuff...`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":145,"value":"md`Data: visualcrossing.com`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":35,"value":"weathers = ({\n seattle: {label: \"Seattle\", dataset: await FileAttachment(\"seattle.min@1.csv\").csv()},\n portland: {label: \"Portland\", dataset: await FileAttachment(\"portland.min@1.csv\").csv()},\n sanfrancisco: {label: \"San Francisco\", dataset: await FileAttachment(\"sanfrancisco.min@1.csv\").csv()},\n losangeles: {label: \"Los Angeles\", dataset: await FileAttachment(\"losangeles.min@1.csv\").csv()},\n sandiego: {label: \"San Diego\", dataset: await FileAttachment(\"sandiego.min@1.csv\").csv()}\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":53,"value":"months = [\"January\", \"February\", \"March\", \"April\", \"May\", \"June\", \"July\", \"August\", \"September\", \"October\", \"November\", \"December\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":148,"value":"html`

Icons made by bqlqn from www.flaticon.com

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":19,"value":"icon = ({\n clear: await FileAttachment(\"clear.svg\").url(),\n cloudy: await FileAttachment(\"cloudy.svg\").url(),\n overcast: await FileAttachment(\"overcast.svg\").url(),\n rain: await FileAttachment(\"rain.svg\").url(),\n snow: await FileAttachment(\"snow.svg\").url()\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":38,"value":"import {form} from \"@analyzer2004/3d-clustered-chart\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9,"value":"d3 = require(\"d3@6\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":153,"value":"md`🌐[ericlo.dev](https://ericlo.dev) 🐱[GitHub Repositories](https://github.com/analyzer2004?tab=repositories) 🐦[Twitter](https://twitter.com/analyzer2004)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W34","stdlib":"1","titling":"auto"}} 2f:"$2e:body"