Spaces:
Sleeping
Sleeping
File size: 16,719 Bytes
e134901 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 | /*
REQUIREMENTS_BEGIN
{
"chart_type": "Grouped Scatterplot",
"chart_name": "grouped_scatterplot_03",
"required_fields": ["x", "y", "y2", "group"],
"required_fields_type": [["categorical"], ["numerical"], ["numerical"], ["categorical"]],
"required_fields_range": [[8, 150], [0, "inf"], [0, "inf"], [2, 6]],
"required_fields_icons": [],
"required_other_icons": [],
"required_fields_colors": ["group"],
"required_other_colors": ["primary"],
"hierarchy": ["group"],
"supported_effects": ["shadow", "radius_corner"],
"min_height": 750,
"min_width": 750,
"background": "no",
"icon_mark": "none",
"icon_label": "none",
"has_x_axis": "yes",
"has_y_axis": "yes"
}
REQUIREMENTS_END
*/
function makeChart(containerSelector, data) {
// Extract data
const jsonData = data;
const chartData = jsonData.data.data;
const variables = jsonData.variables;
const typography = jsonData.typography;
const dataColumns = chartUtils.schema.columns(jsonData);
const images = jsonData.images || {};
const colors = jsonData.colors;
const colorResolver = chartUtils.color.resolver(jsonData);
// Clear container
d3.select(containerSelector).html("");
// Get field names
const xField = chartUtils.schema.columnField(dataColumns, 0);
const yField = chartUtils.schema.columnField(dataColumns, 1);
const y2Field = chartUtils.schema.columnField(dataColumns, 2);
const groupField = chartUtils.schema.channel(jsonData, "group", { fallbackKey: "" }).key;
// Set dimensions and margins
const width = variables.width;
const height = variables.height;
const margin = { top: 25, right: 25, bottom: 50, left: 50 };
// Create SVG
const svg = d3.select(containerSelector)
.append("svg")
.attr("width", width)
.attr("height", height)
.attr("xmlns", "http://www.w3.org/2000/svg")
.attr("xmlns:xlink", "http://www.w3.org/1999/xlink");
// Create chart area
const chartWidth = width - margin.left - margin.right;
const chartHeight = height - margin.top - margin.bottom;
const g = svg.append("g")
.attr("transform", `translate(${margin.left}, ${margin.top})`);
// Create scales
const xExtent = d3.extent(chartData, d => +d[yField]);
const yExtent = d3.extent(chartData, d => +d[y2Field]);
// 检查数据是否包含负值或0值
function hasNegativeOrZeroValues(data, field) {
return data.some(d => d[field] <= 0);
}
// 判断数据分布是否不均匀
function isDistributionUneven(data, field) {
const values = data.map(d => d[field]);
const extent = d3.extent(values);
const range = extent[1] - extent[0];
const median = d3.median(values);
const q1 = d3.quantile(values.sort(d3.ascending), 0.25);
const q3 = d3.quantile(values.sort(d3.ascending), 0.75);
const iqr = q3 - q1;
// 不均匀分布的判断标准
return range > iqr * 3 || Math.abs(median - (extent[0] + extent[1])/2) > range * 0.2;
}
// 为X轴创建合适的比例尺
const xHasNegativeOrZero = hasNegativeOrZeroValues(chartData, yField);
const xIsUneven = isDistributionUneven(chartData, yField);
const xScale = (!xHasNegativeOrZero && xIsUneven)
? d3.scaleLog()
.domain([Math.max(xExtent[0] * 0.9, 0.1), xExtent[1] * 1.1])
.range([0, chartWidth])
: d3.scaleLinear()
.domain([xExtent[0] - (xExtent[1] - xExtent[0]) * 0.1, xExtent[1] + (xExtent[1] - xExtent[0]) * 0.1])
.range([0, chartWidth]);
// 为Y轴创建合适的比例尺
const yHasNegativeOrZero = hasNegativeOrZeroValues(chartData, y2Field);
const yIsUneven = isDistributionUneven(chartData, y2Field);
const yScale = (!yHasNegativeOrZero && yIsUneven)
? d3.scaleLog()
.domain([Math.max(yExtent[0] * 0.9, 0.1), yExtent[1] * 1.1])
.range([chartHeight, 0])
: d3.scaleLinear()
.domain([yExtent[0] - (yExtent[1] - yExtent[0]) * 0.1, yExtent[1] + (yExtent[1] - yExtent[0]) * 0.1])
.range([chartHeight, 0]);
// Create axes
const xAxis = d3.axisBottom(xScale)
.tickSize(0)
.tickPadding(10)
.tickFormat(d => chartUtils.format.number(d).text);
const yAxis = d3.axisLeft(yScale)
.tickSize(0)
.tickPadding(10)
.tickFormat(d => chartUtils.format.number(d).text);
// Add X axis
const xAxisGroup = g.append("g")
.attr("class", "axis x-axis")
.attr("transform", `translate(0, ${chartHeight})`)
.call(xAxis)
xAxisGroup
.selectAll("path")
.style("stroke", colorResolver.text({ fallback: "#333333" }).value)
.style("stroke-width", 1)
.style("opacity", 0.5)
xAxisGroup
.selectAll("text")
.style("color", colorResolver.text({ fallback: "#333333" }).value)
// Add Y axis
const yAxisGroup = g.append("g")
.attr("class", "axis y-axis")
.call(yAxis)
.style("color", colorResolver.text({ fallback: "#333333" }).value)
.style("fill", "black");
yAxisGroup
.selectAll("path")
.style("stroke", colorResolver.text({ fallback: "#333333" }).value)
.style("stroke-width", 1)
.style("opacity", 0.5)
yAxisGroup
.selectAll("text")
.style("color", colorResolver.text({ fallback: "#333333" }).value)
// Add axis titles
g.append("text")
.attr("class", "axis-title")
.attr("x", chartWidth)
.attr("y", chartHeight + margin.bottom / 2 + 15)
.attr("text-anchor", "end")
.attr("font-size", 13)
.text(yField);
g.append("text")
.attr("class", "axis-title")
.attr("transform", "rotate(-90)")
.attr("x", -margin.top)
.attr("y", -margin.left / 2 - 10)
.attr("text-anchor", "end")
.attr("font-size", 13)
.text(y2Field);
// Create tooltip
const tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
// Helper function to find optimal label position
function findOptimalPosition(d, allPoints, currentPositions = {}) {
const positions = [
{ x: 20, y: 4, anchor: "start", priority: 1 }, // right
{ x: 0, y: -20, anchor: "middle", priority: 2 }, // top
{ x: -20, y: 4, anchor: "end", priority: 3 }, // left
{ x: 0, y: 28, anchor: "middle", priority: 4 }, // bottom
{ x: 20, y: -20, anchor: "start", priority: 5 }, // top-right
{ x: -20, y: -20, anchor: "end", priority: 6 }, // top-left
{ x: -20, y: 28, anchor: "end", priority: 7 }, // bottom-left
{ x: 20, y: 28, anchor: "start", priority: 8 } // bottom-right
];
const pointX = xScale(+d[yField]);
const pointY = yScale(+d[y2Field]);
// 如果已经有位置分配,直接返回
if (currentPositions[d[xField]]) {
return currentPositions[d[xField]];
}
const textBBox = chartUtils.text.measure(g, d[xField], {
fontFamily: typography.label.font_family,
fontSize: 10,
});
const labelWidth = textBBox.width;
const labelHeight = textBBox.height;
// 贪心算法:按优先级顺序尝试每个位置,选择第一个没有重叠的位置
for (const pos of positions) {
let hasOverlap = false;
// 计算标签边界
let labelX1, labelY1, labelX2, labelY2;
if (pos.priority === 1) { // right
labelX1 = pointX + 20;
labelY1 = pointY - labelHeight / 2;
} else if (pos.priority === 2) { // top
labelX1 = pointX - labelWidth / 2;
labelY1 = pointY - 20 - labelHeight;
} else if (pos.priority === 3) { // left
labelX1 = pointX - 20 - labelWidth;
labelY1 = pointY - labelHeight / 2;
} else if (pos.priority === 4) { // bottom
labelX1 = pointX - labelWidth / 2;
labelY1 = pointY + 20;
} else if (pos.priority === 5) { // top-right
labelX1 = pointX + 15;
labelY1 = pointY - 15 - labelHeight;
} else if (pos.priority === 6) { // top-left
labelX1 = pointX - 15 - labelWidth;
labelY1 = pointY - 15 - labelHeight;
} else if (pos.priority === 7) { // bottom-left
labelX1 = pointX - 15 - labelWidth;
labelY1 = pointY + 15;
} else { // bottom-right
labelX1 = pointX + 15;
labelY1 = pointY + 15;
}
labelX2 = labelX1 + labelWidth;
labelY2 = labelY1 + labelHeight;
// 检查边界约束
if (labelX1 < 0 || labelX2 > chartWidth || labelY1 < 0 || labelY2 > chartHeight) {
continue;
}
// 检查与其他点及其标签的重叠
for (const p of allPoints) {
if (p === d) continue;
const pX = xScale(p[yField]);
const pY = yScale(p[y2Field]);
// 检查与点的重叠
const pointRadius = circleRadius; // Use the calculated circleRadius
const dx = labelX1 + labelWidth/2 - pX;
const dy = labelY1 + labelHeight/2 - pY;
const distance = Math.sqrt(dx * dx + dy * dy);
if (distance < pointRadius + Math.sqrt(labelWidth * labelWidth + labelHeight * labelHeight) / 2) {
hasOverlap = true;
break;
}
// 检查与其他标签的重叠
const pPos = currentPositions[p[xField]];
if (pPos) {
const otherBBox = chartUtils.text.measure(g, p[xField], {
fontFamily: typography.label.font_family,
fontSize: 10,
});
let otherX1, otherY1;
if (pPos.anchor === "start") {
otherX1 = pX + pPos.x;
otherY1 = pY + pPos.y - otherBBox.height/2;
} else if (pPos.anchor === "middle") {
otherX1 = pX + pPos.x - otherBBox.width/2;
otherY1 = pY + pPos.y; // Align based on text-anchor: middle baseline
} else { // end
otherX1 = pX + pPos.x - otherBBox.width;
otherY1 = pY + pPos.y - otherBBox.height/2;
}
const otherX2 = otherX1 + otherBBox.width;
const otherY2 = otherY1 + otherBBox.height;
if (labelX1 < otherX2 && labelX2 > otherX1 &&
labelY1 < otherY2 && labelY2 > otherY1) {
hasOverlap = true;
break;
}
}
}
if (!hasOverlap) {
return { ...pos, canShow: true };
}
}
// 如果所有位置都有重叠,返回优先级最高的位置,但标记为不显示
return { ...positions[0], canShow: false };
}
// Determine circle size based on number of data points
const numPoints = chartData.length;
const circleRadius = numPoints <= 15 ? 15 : Math.max(10, 15 - (numPoints - 15) / 20);
// Add data points
const points = g.selectAll(".data-point")
.data(chartData)
.enter()
.append("g")
.attr("class", "data-point")
.attr("transform", d => `translate(${xScale(+d[yField])}, ${yScale(+d[y2Field])})`);
// Add circles for data points (original style)
points.append("circle")
.attr("r", circleRadius)
.attr("fill", d => colorResolver.field(d[groupField], 0, { fallbackKey: "primary" }).value)
.style("opacity", 0.75);
// Calculate optimal positions for all labels
let labelPositions = {};
chartData.forEach(d => {
labelPositions[d[xField]] = findOptimalPosition(d, chartData, labelPositions);
});
// Add labels with optimized positions, only showing non-overlapping ones
points.append("text")
.attr("class", "data-label")
.attr("x", d => labelPositions[d[xField]].x)
.attr("y", d => labelPositions[d[xField]].y)
.attr("text-anchor", d => labelPositions[d[xField]].anchor)
.style("font-family", typography.label.font_family)
.style("font-size", 10)
.style("font-weight", typography.label.font_weight)
.style("opacity", d => labelPositions[d[xField]].canShow ? 1 : 0) // Control visibility based on canShow flag
.text(d => d[xField]);
// Add interactivity
points
.on("mouseover", function(event, d) {
d3.select(this).select("circle")
.transition()
.duration(200)
.attr("r", circleRadius * 1.5);
d3.select(this).select(".data-label")
.style("font-weight", "bold");
tooltip.transition()
.duration(200)
.style("opacity", 0.9);
tooltip.html(`<strong>${d[xField]}</strong><br/>${yField}: ${d[yField]}<br/>${y2Field}: ${d[y2Field]}`)
.style("left", (event.pageX + 10) + "px")
.style("top", (event.pageY - 20) + "px");
})
.on("mouseout", function() {
d3.select(this).select("circle")
.transition()
.duration(200)
.attr("r", circleRadius);
d3.select(this).select(".data-label")
.style("font-weight", "normal");
tooltip.transition()
.duration(500)
.style("opacity", 0);
});
// 添加图例
// 获取分组列表
const groups = [...new Set(chartData.map(d => d[groupField]))];
// 图例配置参数
const initialLegendFontSize = parseFloat(typography.label?.font_size || 12);
const legendFontWeight = typography.label?.font_weight || "normal";
const legendFontFamily = typography.label?.font_family || "Arial";
const legendColor = colorResolver.text({ fallback: "#333333" }).value;
const legendItemPadding = 5; // 标记与文本间距
const legendColumnPadding = 20; // 图例项间距
const legendMinimumFontSize = 9; // 最小图例字体大小
const legendRowPadding = 15; // 图例行间距
if (groups.length > 0) {
const legendFontSize = parseFloat(typography.label?.font_size || 12);
const legendFontWeight = typography.label?.font_weight || "normal";
const legendFontFamily = typography.label?.font_family || "Arial";
const legendColor = colorResolver.text({ fallback: "#333333" }).value;
const baseWidth = (typeof chartWidth === "number" ? chartWidth : innerWidth);
const legendWidth = baseWidth * 0.9;
const legendCenterX = margin.left + baseWidth / 2;
const legendY = margin.top / 2;
if (typeof groupField === "string" && groupField.length > 0) {
svg.append("text")
.attr("class", "legend-title")
.attr("x", legendCenterX)
.attr("y", legendY - (legendFontSize + 6))
.attr("text-anchor", "middle")
.style("font-family", legendFontFamily)
.style("font-size", `${legendFontSize + 1}px`)
.style("font-weight", "bold")
.style("fill", legendColor)
.text(groupField);
}
chartUtils.legend.centered(svg, groups, {
colorScale,
colorResolver,
colors,
}, legendCenterX, legendY, {
markerShape: "circle",
markerSize: pointRadius * 2,
labelGap: 5,
itemGap: 20,
rowGap: 15,
maxWidth: legendWidth,
fitToWidth: true,
minFontSize: 9,
fontSize: legendFontSize,
fontFamily: legendFontFamily,
fontWeight: legendFontWeight,
textColor: legendColor,
});
}
return svg.node();
}
|