本章节是仿造echarts的热力图:地址html
QCustomPlot中热力图叫QCPColorMap,因此应该称为颜色图更为合适一点,通常来讲一副颜色图会由两个部分组成apache
除了这两个,还有一个重要的家伙,那就是颜色渐变QCPColorGradient,它决定了颜色图的数据对应的是什么颜色,QCPColorGradient预约义了9种颜色渐变,以下图所示数组
颜色图除了x、y两个位置,还有一个z位置,z位置对应着颜色渐变中的颜色取值位置echarts
void MainWindow::setupHeatmapDemo(QCustomPlot *customPlot) { QVector<QString> hours = {"12a", "1a", "2a", "3a", "4a", "5a", "6a", "7a", "8a", "9a","10a","11a", "12p", "1p", "2p", "3p", "4p", "5p", "6p", "7p", "8p", "9p", "10p", "11p"}; QVector<QString> days = {"Saturday", "Friday", "Thursday", "Wednesday", "Tuesday", "Monday", "Sunday"}; QVector<QVector<double>> data = {{0,0,5},{0,1,1},{0,2,0},{0,3,0},{0,4,0},{0,5,0},{0,6,0},{0,7,0},{0,8,0},{0,9,0},{0,10,0},{0,11,2},{0,12,4},{0,13,1},{0,14,1},{0,15,3},{0,16,4},{0,17,6},{0,18,4}, {0,19,4},{0,20,3},{0,21,3},{0,22,2},{0,23,5},{1,0,7},{1,1,0},{1,2,0},{1,3,0},{1,4,0},{1,5,0},{1,6,0},{1,7,0},{1,8,0},{1,9,0},{1,10,5},{1,11,2},{1,12,2},{1,13,6},{1,14,9},{1,15,11}, {1,16,6},{1,17,7},{1,18,8},{1,19,12},{1,20,5},{1,21,5},{1,22,7},{1,23,2},{2,0,1},{2,1,1},{2,2,0},{2,3,0},{2,4,0},{2,5,0},{2,6,0},{2,7,0},{2,8,0},{2,9,0},{2,10,3},{2,11,2},{2,12,1}, {2,13,9},{2,14,8},{2,15,10},{2,16,6},{2,17,5},{2,18,5},{2,19,5},{2,20,7},{2,21,4},{2,22,2},{2,23,4},{3,0,7},{3,1,3},{3,2,0},{3,3,0},{3,4,0},{3,5,0},{3,6,0},{3,7,0},{3,8,1}, {3,9,0},{3,10,5},{3,11,4},{3,12,7},{3,13,14},{3,14,13},{3,15,12},{3,16,9},{3,17,5},{3,18,5},{3,19,10},{3,20,6},{3,21,4},{3,22,4},{3,23,1},{4,0,1},{4,1,3},{4,2,0},{4,3,0},{4,4,0}, {4,5,1},{4,6,0},{4,7,0},{4,8,0},{4,9,2},{4,10,4},{4,11,4},{4,12,2},{4,13,4},{4,14,4},{4,15,14},{4,16,12},{4,17,1},{4,18,8},{4,19,5},{4,20,3},{4,21,7},{4,22,3},{4,23,0},{5,0,2}, {5,1,1},{5,2,0},{5,3,3},{5,4,0},{5,5,0},{5,6,0},{5,7,0},{5,8,2},{5,9,0},{5,10,4},{5,11,1},{5,12,5},{5,13,10},{5,14,5},{5,15,7},{5,16,11},{5,17,6},{5,18,0},{5,19,5},{5,20,3},{5,21,4}, {5,22,2},{5,23,0},{6,0,1},{6,1,0},{6,2,0},{6,3,0},{6,4,0},{6,5,0},{6,6,0},{6,7,0},{6,8,0},{6,9,0},{6,10,1},{6,11,0},{6,12,2},{6,13,1},{6,14,3},{6,15,4},{6,16,0},{6,17,0},{6,18,0}, {6,19,0},{6,20,1},{6,21,2},{6,22,2},{6,23,6}}; QCPColorMap *heatmap = new QCPColorMap(customPlot->xAxis, customPlot->yAxis); // 构造一个颜色图 heatmap->data()->setSize(hours.size(), days.size()); // 设置颜色图数据维度,其内部维护着一个一维数组(通常表现为二维数组),这里能够理解为有多少个小方块 heatmap->data()->setRange(QCPRange(0.5, hours.size() - 0.5), QCPRange(0.5, days.size() - 0.5)); // 颜色图在x、y轴上的范围 // 设置轴的显示,这里使用文字轴,若是这部分还不会的请看 QCustomPlot之个性化外观(二)这章节 QSharedPointer<QCPAxisTickerText> xTicker(new QCPAxisTickerText); QSharedPointer<QCPAxisTickerText> yTicker(new QCPAxisTickerText); xTicker->setTicks(labelPositions(hours, 0.5), hours); yTicker->setTicks(labelPositions(days, 0.5), days); xTicker->setSubTickCount(1); yTicker->setSubTickCount(1); customPlot->xAxis->setTicker(xTicker); customPlot->yAxis->setTicker(yTicker); customPlot->xAxis->grid()->setPen(Qt::NoPen); customPlot->yAxis->grid()->setPen(Qt::NoPen); customPlot->xAxis->grid()->setSubGridVisible(true); customPlot->yAxis->grid()->setSubGridVisible(true); customPlot->xAxis->setSubTicks(true); customPlot->yAxis->setSubTicks(true); customPlot->xAxis->setTickLength(0); customPlot->yAxis->setTickLength(0); customPlot->xAxis->setSubTickLength(6); customPlot->yAxis->setSubTickLength(6); customPlot->xAxis->setRange(0, hours.size()); customPlot->yAxis->setRange(0, days.size()); for (int x = 0; x < hours.size(); ++x) { for (int y = 0; y < days.size(); ++y) { int z = data.at(hours.size() * y + x).at(2); if (z) heatmap->data()->setCell(x, y, z); // 若是z不为0,则设置颜色值的位置 else heatmap->data()->setAlpha(x, y, 0); // z为0,设置为透明 } } QCPColorScale *colorScale = new QCPColorScale(customPlot); // 构造一个色条 colorScale->setType(QCPAxis::atBottom); // 水平显示 customPlot->plotLayout()->addElement(1, 0, colorScale); // 在颜色图下面显示 heatmap->setColorScale(colorScale); QCPColorGradient gradient; // 色条使用的颜色渐变 gradient.setColorStopAt(0.0, QColor("#f6efa6")); // 设置色条开始时的颜色 gradient.setColorStopAt(1.0, QColor("#bf444c")); // 设置色条结束时的颜色 heatmap->setGradient(gradient); // colorMap->rescaleDataRange(); // 自动计算数据范围,数据范围决定了哪些数据值映射到QCPColorGradient的颜色渐变当中 heatmap->setDataRange(QCPRange(0, 10)); // 为了保持与echart的例子一致,咱们这里手动设置数据范围 heatmap->setInterpolate(false); // 为了显示小方块,咱们禁用插值 // 保持色条与轴矩形边距一致 QCPMarginGroup *marginGroup = new QCPMarginGroup(customPlot); customPlot->axisRect()->setMarginGroup(QCP::msLeft | QCP::msRight, marginGroup); colorScale->setMarginGroup(QCP::msLeft | QCP::msRight, marginGroup); }
其中labelPositions
是返回labels所对应的位置的dom
QVector<double> labelPositions(const QVector<QString> &labels, double offset = 0) { QVector<double> result(labels.size()); for (int i = 0; i < labels.size(); ++i) result[i] = i + offset; return result; }
动态热力图其实就是从新设置z的值ui
void MainWindow::setupDynamicHeatmapDemo(QCustomPlot *customPlot) { setupHeatmapDemo(customPlot); connect(&dataTimer, SIGNAL(timeout()), this, SLOT(dynamicHeatmapSlot())); dataTimer.start(1000); } void MainWindow::dynamicHeatmapSlot() { auto *colorMap = static_cast<QCPColorMap *>(ui->customPlot->plottable(0)); int keySize = colorMap->data()->keySize(); int valueSize = colorMap->data()->valueSize(); for (int x = 0; x < keySize; ++x) { for (int y = 0; y < valueSize; ++y) { if (colorMap->data()->alpha(x, y)) // 当前不是透明的,就从新设置z的值 colorMap->data()->setCell(x, y, QRandomGenerator::global()->bounded(1, 15)); } } ui->customPlot->replot(); }