内部折现图的按照指数级的缩放

核心代码

 customPlot->yAxis->setScaleType(QCPAxis::stLogarithmic);

void MainWindow::setupLogarithmicDemo(QCustomPlot *customPlot)
{demoName = "Logarithmic Demo";customPlot->setNoAntialiasingOnDrag(true); // more performance/responsiveness during dragging
//  1customPlot->addGraph();QPen pen;pen.setColor(QColor(255,170,100));pen.setWidth(2);pen.setStyle(Qt::DotLine);customPlot->graph(0)->setPen(pen);customPlot->graph(0)->setName("x");
//  2customPlot->addGraph();customPlot->graph(1)->setPen(QPen(Qt::red));customPlot->graph(1)->setBrush(QBrush(QColor(255, 0, 0, 20)));customPlot->graph(1)->setName("-sin(x)exp(x)");
//  3customPlot->addGraph();customPlot->graph(2)->setPen(QPen(Qt::blue));customPlot->graph(2)->setBrush(QBrush(QColor(0, 0, 255, 20)));customPlot->graph(2)->setName(" sin(x)exp(x)");
//  4customPlot->addGraph();pen.setColor(QColor(0,0,0));pen.setWidth(1);pen.setStyle(Qt::DashLine);customPlot->graph(3)->setPen(pen);customPlot->graph(3)->setBrush(QBrush(QColor(0,0,0,15)));customPlot->graph(3)->setLineStyle(QCPGraph::lsStepCenter);customPlot->graph(3)->setName("x!");const int dataCount = 200;const int dataFactorialCount = 21;
//  使用QCustomPlot的数据类QVector<QCPGraphData> dataLinear(dataCount), dataMinusSinExp(dataCount), dataPlusSinExp(dataCount), dataFactorial(dataFactorialCount);
//  构造数据for (int i=0; i<dataCount; ++i){dataLinear[i].key = i/10.0;dataLinear[i].value = dataLinear[i].key;dataMinusSinExp[i].key = i/10.0;dataMinusSinExp[i].value = -qSin(dataMinusSinExp[i].key)*qExp(dataMinusSinExp[i].key);dataPlusSinExp[i].key = i/10.0;dataPlusSinExp[i].value = qSin(dataPlusSinExp[i].key)*qExp(dataPlusSinExp[i].key);}for (int i=0; i<dataFactorialCount; ++i){dataFactorial[i].key = i;dataFactorial[i].value = 1.0;for (int k=1; k<=i; ++k) dataFactorial[i].value *= k; // factorial}
//  给Plot设置显示数据customPlot->graph(0)->data()->set(dataLinear);customPlot->graph(1)->data()->set(dataMinusSinExp);customPlot->graph(2)->data()->set(dataPlusSinExp);customPlot->graph(3)->data()->set(dataFactorial);
//显示网格，网格的每一根线都对对应1个点customPlot->yAxis->grid()->setSubGridVisible(true);customPlot->xAxis->grid()->setSubGridVisible(true);
//   经测试就是对内部的每一个grap进行不同程度的缩放 线性缩放和指数极缩放customPlot->yAxis->setScaleType(QCPAxis::stLogarithmic);
//  customPlot->yAxis2->setScaleType(QCPAxis::stLogarithmic);QSharedPointer<QCPAxisTickerLog> logTicker(new QCPAxisTickerLog);customPlot->yAxis->setTicker(logTicker);customPlot->yAxis2->setTicker(logTicker);customPlot->yAxis->setNumberFormat("eb"); // e = exponential, b = beautiful decimal powerscustomPlot->yAxis->setNumberPrecision(0); // makes sure "1*10^4" is displayed only as "10^4"customPlot->rescaleAxes(true);
//  customPlot->xAxis->setRange(0, 19.9);
//  customPlot->yAxis->setRange(1e-2, 1e10);// Plot可以拖动和缩放 make range draggable and zoomable:customPlot->setInteractions(QCP::iRangeDrag | QCP::iRangeZoom);// make top right axes clones of bottom left axes:customPlot->axisRect()->setupFullAxesBox();// connect signals so top and right axes move in sync with bottom and left axes:
//  自动调整坐标轴轴connect(customPlot->xAxis, SIGNAL(rangeChanged(QCPRange)), customPlot->xAxis2, SLOT(setRange(QCPRange)));connect(customPlot->yAxis, SIGNAL(rangeChanged(QCPRange)), customPlot->yAxis2, SLOT(setRange(QCPRange)));customPlot->legend->setVisible(true);
//  图例背景色customPlot->legend->setBrush(QBrush(QColor(255,255,255,150)));
//  图例显示位置设置customPlot->axisRect()->insetLayout()->setInsetAlignment(0, Qt::AlignLeft|Qt::AlignTop); // make legend align in top left corner or axis rect
}

使用时间刻度作为X轴的刻度

创建折线图

void MainWindow::setupRealtimeDataDemo(QCustomPlot *customPlot)
{demoName = "Real Time Data Demo";// include this section to fully disable antialiasing for higher performance:/*customPlot->setNotAntialiasedElements(QCP::aeAll);QFont font;font.setStyleStrategy(QFont::NoAntialias);customPlot->xAxis->setTickLabelFont(font);customPlot->yAxis->setTickLabelFont(font);customPlot->legend->setFont(font);*/customPlot->addGraph(); // blue linecustomPlot->graph(0)->setPen(QPen(QColor(40, 110, 255)));customPlot->addGraph(); // red linecustomPlot->graph(1)->setPen(QPen(QColor(255, 110, 40)));
//   使用时间作为X轴QSharedPointer<QCPAxisTickerTime> timeTicker(new QCPAxisTickerTime);
//  设置时间格式timeTicker->setTimeFormat("%h:%m:%s");
//  添加时间刻度到x轴customPlot->xAxis->setTicker(timeTicker);customPlot->axisRect()->setupFullAxesBox();customPlot->yAxis->setRange(-1.2, 1.2);// make left and bottom axes transfer their ranges to right and top axes:connect(customPlot->xAxis, SIGNAL(rangeChanged(QCPRange)), customPlot->xAxis2, SLOT(setRange(QCPRange)));connect(customPlot->yAxis, SIGNAL(rangeChanged(QCPRange)), customPlot->yAxis2, SLOT(setRange(QCPRange)));// setup a timer that repeatedly calls MainWindow::realtimeDataSlot:connect(&dataTimer, SIGNAL(timeout()), this, SLOT(realtimeDataSlot()));dataTimer.start(0); // Interval 0 means to refresh as fast as possible
}

不断更新数据

void MainWindow::realtimeDataSlot()
{static QTime timeStart = QTime::currentTime();// calculate two new data points:double key = timeStart.msecsTo(QTime::currentTime())/1000.0; // time elapsed since start of demo, in secondsstatic double lastPointKey = 0;if (key-lastPointKey > 0.002) // at most add point every 2 ms{// add data to lines:
//      定时器循环添加数据ui->customPlot->graph(0)->addData(key, qSin(key)+std::rand()/(double)RAND_MAX*1*qSin(key/0.3843));ui->customPlot->graph(1)->addData(key, qCos(key)+std::rand()/(double)RAND_MAX*0.5*qSin(key/0.4364));// rescale value (vertical) axis to fit the current data://ui->customPlot->graph(0)->rescaleValueAxis();//ui->customPlot->graph(1)->rescaleValueAxis(true);lastPointKey = key;}// make key axis range scroll with the data (at a constant range size of 8):
//  自动更新坐标轴范围保证只是显示一部分内容ui->customPlot->xAxis->setRange(key, 8, Qt::AlignRight);
//   ui->customPlot->rescaleAxes();ui->customPlot->replot();// calculate frames per second:
//  状态栏更新统计数据static double lastFpsKey;static int frameCount;++frameCount;if (key-lastFpsKey > 2) // average fps over 2 seconds{ui->statusBar->showMessage(QString("%1 FPS, Total Data points: %2").arg(frameCount/(key-lastFpsKey), 0, 'f', 0).arg(ui->customPlot->graph(0)->data()->size()+ui->customPlot->graph(1)->data()->size()), 0);lastFpsKey = key;frameCount = 0;}
}

参数方程形式的点描述Curve Plot 图

Plot类： QCPCurve 用于画曲线方程

数据集  QCPCurveData

QCPCurve与QCPGraph的区别在于它引入了第三个坐标t，而QCPGraph只有x,y两个坐标，这是因为在参数方程曲线中，可能会有多个点对应同个key坐标，而t坐标的引入决定了参数方程x,y坐标的顺序，这样就不会混乱
在数据方面，t坐标在QCPCurve表现为排序键sortKey，x坐标表现为主键mainKey，y坐标表现为mainValue，在QCPGraph中排序键sortKey和主键mainKey都是x坐标，y坐标表现为mainValue

void MainWindow::setupParametricCurveDemo(QCustomPlot *customPlot)
{demoName = "Parametric Curves Demo";// 创建曲线图 参数方程 create empty curve objects:QCPCurve *fermatSpiral1 = new QCPCurve(customPlot->xAxis, customPlot->yAxis);QCPCurve *fermatSpiral2 = new QCPCurve(customPlot->xAxis, customPlot->yAxis);QCPCurve *deltoidRadial = new QCPCurve(customPlot->xAxis, customPlot->yAxis);// generate the curve data points:const int pointCount = 500;
//  创建参数方程数据集QVector<QCPCurveData> dataSpiral1(pointCount), dataSpiral2(pointCount), dataDeltoid(pointCount);for (int i=0; i<pointCount; ++i){double phi = i/(double)(pointCount-1)*8*M_PI;double theta = i/(double)(pointCount-1)*2*M_PI;dataSpiral1[i] = QCPCurveData(i, qSqrt(phi)*qCos(phi), qSqrt(phi)*qSin(phi));dataSpiral2[i] = QCPCurveData(i, -dataSpiral1[i].key, -dataSpiral1[i].value);dataDeltoid[i] = QCPCurveData(i, 2*qCos(2*theta)+qCos(1*theta)+2*qSin(theta), 2*qSin(2*theta)-qSin(1*theta));}// pass the data to the curves; we know t (i in loop above) is ascending, so set alreadySorted=true (saves an extra internal sort):
//  填充数据至Curv PlotfermatSpiral1->data()->set(dataSpiral1, true);fermatSpiral2->data()->set(dataSpiral2, true);deltoidRadial->data()->set(dataDeltoid, true);// color the curves:fermatSpiral1->setPen(QPen(Qt::blue));fermatSpiral1->setBrush(QBrush(QColor(0, 0, 255, 20)));fermatSpiral2->setPen(QPen(QColor(255, 120, 0)));fermatSpiral2->setBrush(QBrush(QColor(255, 120, 0, 30)));QRadialGradient radialGrad(QPointF(310, 180), 200);radialGrad.setColorAt(0, QColor(170, 20, 240, 100));radialGrad.setColorAt(0.5, QColor(20, 10, 255, 40));radialGrad.setColorAt(1,QColor(120, 20, 240, 10));deltoidRadial->setPen(QPen(QColor(170, 20, 240)));deltoidRadial->setBrush(QBrush(radialGrad));// set some basic customPlot config:customPlot->setInteractions(QCP::iRangeDrag | QCP::iRangeZoom | QCP::iSelectPlottables);customPlot->axisRect()->setupFullAxesBox();customPlot->rescaleAxes();
}

柱状图使用示例

1. 柱状图简单使用

void Widget::barchart2(QCustomPlot *customPlot)
{QCPAxis *keyAxis = customPlot->xAxis;QCPAxis *valueAxis = customPlot->yAxis;QCPBars *fossil = new QCPBars(keyAxis, valueAxis); // 使用xAxis作为柱状图的key轴，yAxis作为value轴// 为柱状图设置一个文字类型的key轴，ticks决定了轴的范围，而labels决定了轴的刻度文字的显示QVector<double> ticks;QVector<QString> labels;ticks << 1 << 2 << 3 << 4 << 5 << 6 << 7;labels << "USA"<< "Japan"<< "Germany"<< "France"<< "UK"<< "Italy"<< "Canada";QSharedPointer<QCPAxisTickerText> textTicker(new QCPAxisTickerText);textTicker->addTicks(ticks, labels);fossil->setAntialiased(true);                          // 为了更好的边框效果，关闭抗齿锯fossil->setName("Fossil fuels");                        // 设置柱状图的名字，可在图例中显示fossil->setPen(QPen(QColor(0, 168, 140).lighter(130))); // 设置柱状图的边框颜色fossil->setBrush(QColor(0, 168, 140));                  // 设置柱状图的画刷颜色//设置坐标轴keyAxis->setTicker(textTicker); // 设置为文字轴keyAxis->setTickLabelRotation(60); // 轴刻度文字旋转60度keyAxis->setSubTicks(false);       // 不显示子刻度keyAxis->setTickLength(0, 4);      // 轴内外刻度的长度分别是0,4,也就是轴内的刻度线不显示keyAxis->setRange(0, 8);           // 设置范围keyAxis->setUpperEnding(QCPLineEnding::esSpikeArrow);//设置坐标轴箭头valueAxis->setRange(0, 12.1);valueAxis->setPadding(35); // 轴的内边距，可以到QCustomPlot之开始（一）看图解valueAxis->setLabel("Power Consumption in\nKilowatts per Capita (2007)");valueAxis->setUpperEnding(QCPLineEnding::esSpikeArrow);QVector<double> fossilData;fossilData << 0.86 * 10.5 << 0.83 * 5.5 << 0.84 * 5.5 << 0.52 * 5.8 << 0.89 * 5.2 << 0.90 * 4.2 << 0.67 * 11.2;fossil->setData(ticks, fossilData);
}

2. 堆叠柱状图


void MainWindow::setupBarChartDemo(QCustomPlot *customPlot)
{demoName = "Bar Chart Demo";// set dark background gradient:QLinearGradient gradient(0, 0, 0, 400);gradient.setColorAt(0, QColor(90, 90, 90));gradient.setColorAt(0.38, QColor(105, 105, 105));gradient.setColorAt(1, QColor(70, 70, 70));customPlot->setBackground(QBrush(gradient));// create empty bar chart objects:
//  创建3个柱状图QCPBars *regen = new QCPBars(customPlot->xAxis, customPlot->yAxis);QCPBars *nuclear = new QCPBars(customPlot->xAxis, customPlot->yAxis);QCPBars *fossil = new QCPBars(customPlot->xAxis, customPlot->yAxis);
//  关闭卡昂锯齿regen->setAntialiased(false); // gives more crisp, pixel aligned bar bordersnuclear->setAntialiased(false);fossil->setAntialiased(false);
//   设置堆叠间距regen->setStackingGap(10);nuclear->setStackingGap(10);fossil->setStackingGap(10);// set names and colors:fossil->setName("Fossil fuels");
//  设置画笔就是bar的矩形边线的使用，设置画刷就是矩形填充使用fossil->setPen(QPen(QColor(111, 9, 176).lighter(170)));fossil->setBrush(QColor(111, 9, 176));nuclear->setName("Nuclear");nuclear->setPen(QPen(QColor(250, 170, 20).lighter(150)));nuclear->setBrush(QColor(250, 170, 20));regen->setName("Regenerative");regen->setPen(QPen(QColor(0, 168, 140).lighter(130)));regen->setBrush(QColor(0, 168, 140));// stack bars on top of each other:
//  堆积柱状图，设置谁在谁的上边nuclear->moveAbove(fossil);regen->moveAbove(nuclear);// prepare x axis with country labels:QVector<double> ticks;QVector<QString> labels;ticks << 1 << 2 << 3 << 4 << 5 << 6 << 7;labels << "USA" << "Japan" << "Germany" << "France" << "UK" << "Italy" << "Canada";
//  构建文本刻度QSharedPointer<QCPAxisTickerText> textTicker(new QCPAxisTickerText);
//  设置编号和文本对应textTicker->addTicks(ticks, labels);
//  设置X轴使用文本刻度customPlot->xAxis->setTicker(textTicker);
//  刻度旋转60°customPlot->xAxis->setTickLabelRotation(60);customPlot->xAxis->setSubTicks(false);customPlot->xAxis->setTickLength(0, 4);customPlot->xAxis->setRange(0, 8);customPlot->xAxis->setBasePen(QPen(Qt::white));
//  设置刻度颜色customPlot->xAxis->setTickPen(QPen(Qt::green));customPlot->xAxis->setSubTickPen(QPen(Qt::yellow));customPlot->xAxis->grid()->setVisible(true);customPlot->xAxis->grid()->setPen(QPen(QColor(130, 130, 130), 0, Qt::DotLine));
// 设置刻度文字颜色customPlot->xAxis->setTickLabelColor(Qt::white);
//  设置x轴标签色customPlot->xAxis->setLabelColor(Qt::white);// prepare y axis:customPlot->yAxis->setRange(0, 12.1);customPlot->yAxis->setPadding(5); // a bit more space to the left bordercustomPlot->yAxis->setLabel("Power Consumption in\nKilowatts per Capita (2007)");customPlot->yAxis->setBasePen(QPen(Qt::white));customPlot->yAxis->setTickPen(QPen(Qt::white));customPlot->yAxis->setSubTickPen(QPen(Qt::white));customPlot->yAxis->grid()->setSubGridVisible(true);customPlot->yAxis->setTickLabelColor(Qt::white);customPlot->yAxis->setLabelColor(Qt::white);customPlot->yAxis->grid()->setPen(QPen(QColor(130, 130, 130), 0, Qt::SolidLine));customPlot->yAxis->grid()->setSubGridPen(QPen(QColor(130, 130, 130), 0, Qt::DotLine));// 构造数据Add data:QVector<double> fossilData, nuclearData, regenData;fossilData  << 0.86*10.5 << 0.83*5.5 << 0.84*5.5 << 0.52*5.8 << 0.89*5.2 << 0.90*4.2 << 0.67*11.2;nuclearData << 0.08*10.5 << 0.12*5.5 << 0.12*5.5 << 0.40*5.8 << 0.09*5.2 << 0.00*4.2 << 0.07*11.2;regenData   << 0.06*10.5 << 0.05*5.5 << 0.04*5.5 << 0.06*5.8 << 0.02*5.2 << 0.07*4.2 << 0.25*11.2;fossil->setData(ticks, fossilData);nuclear->setData(ticks, nuclearData);regen->setData(ticks, regenData);// 显示图例setup legend:customPlot->legend->setVisible(true);
//  设置图例位置customPlot->axisRect()->insetLayout()->setInsetAlignment(0, Qt::AlignTop|Qt::AlignHCenter);customPlot->legend->setBrush(QColor(20, 200, 200, 100));customPlot->legend->setBorderPen(Qt::NoPen);QFont legendFont = font();legendFont.setPointSize(10);customPlot->legend->setFont(legendFont);
//  Plot可以缩放和拖动customPlot->setInteractions(QCP::iRangeDrag | QCP::iRangeZoom);
}

3.组柱状图使用

1.创建一个分组

 QCPBarsGroup *group = new QCPBarsGroup(customPlot);

2.创建多个QCPBar

QCPBars *regen = new QCPBars(customPlot->xAxis, customPlot->yAxis);
QCPBars *nuclear = new QCPBars(customPlot->xAxis, customPlot->yAxis);
QCPBars *fossil = new QCPBars(customPlot->xAxis, customPlot->yAxis);  // 使用xAxis作为柱状图的key轴，yAxis作为value轴

3. 将bar添加到组中

void QCPBarsGroup::append(QCPBars *bars)

4.以为QCustomPlot 管理的是组组柱状图，所以需要将组内的柱状图平均分配柱子宽度

bar->setWidth(bar->width() / bars.size()); //

5.可以设置bar间的间距

group->setSpacingType(QCPBarsGroup::stAbsolute);  // 设置组内柱状图的间距，按像素
group->setSpacing(2);     // 设置较小的间距值，这样看起来更紧凑

void Widget::groupbar_chart(QCustomPlot *customPlot)
{//分组的核心QCPBarsGroupQCPBarsGroup *group = new QCPBarsGroup(customPlot);QCPBars *regen = new QCPBars(customPlot->xAxis, customPlot->yAxis);QCPBars *nuclear = new QCPBars(customPlot->xAxis, customPlot->yAxis);QCPBars *fossil = new QCPBars(customPlot->xAxis, customPlot->yAxis);  // 使用xAxis作为柱状图的key轴，yAxis作为value轴QVector<double> fossilData, nuclearData, regenData;fossilData  << 0.86*10.5 << 0.83*5.5 << 0.84*5.5 << 0.52*5.8 << 0.89*5.2 << 0.90*4.2 << 0.67*11.2;nuclearData << 0.08*10.5 << 0.12*5.5 << 0.12*5.5 << 0.40*5.8 << 0.09*5.2 << 0.00*4.2 << 0.07*11.2;regenData   << 0.06*10.5 << 0.05*5.5 << 0.04*5.5 << 0.06*5.8 << 0.02*5.2 << 0.07*4.2 << 0.25*11.2;QVector<double> ticks;ticks << 1 << 2 << 3 << 4 << 5 << 6 << 7;fossil->setData(ticks, fossilData);nuclear->setData(ticks, nuclearData);regen->setData(ticks, regenData);QList<QCPBars*> bars;bars << fossil << nuclear << regen;foreach (QCPBars *bar, bars) {// 设置柱状图的宽度类型为以key坐标轴计算宽度的大小，其实默认就是这种方式// bar->setWidthType(QCPBars::wtPlotCoords);bar->setWidth(bar->width() / bars.size()); // 设置柱状图的宽度大小group->append(bar);  // 将柱状图加入柱状图分组中}group->setSpacingType(QCPBarsGroup::stAbsolute);  // 设置组内柱状图的间距，按像素group->setSpacing(2);     // 设置较小的间距值，这样看起来更紧凑// 设置坐标轴范围customPlot->xAxis->setRange(0,8);customPlot->yAxis->setRange(0,12);//设置画刷也即是柱状图的内部填充颜色regen->setBrush(Qt::blue);nuclear->setBrush(Qt::red);fossil->setBrush(Qt::green);
}

箱式图，盒式图的使用

什么是箱式图，要素获取方法统计学---之箱形图_zxyhhjs2017的博客-CSDN博客_箱型图https://blog.csdn.net/zxyhhjs2017/article/details/79570081显示图要素

核心类：

箱式图类 QCPStatisticalBox//添加数据函数
/*void QCPStatisticalBox::addData(
double key,
double minimum,
double lowerQuartile,
double median,
double upperQuartile,
double maximum,
const QVector<double> &outliers)箱式图：盒须图、盒式图，用作显示一组数据分散情况资料的统计图箱线图的绘制方法是：先找出一组数据的上边缘、下边缘、中位数和两个四分位数；然后， 连接两个四分位数画出箱体；再将上边缘和下边缘与箱体相连接，中位数在箱体中间
*/statistical->addData(1, 1.1, 1.9, 2.25, 2.7, 4.2);

上边缘、下边缘、中位数和两个四分位数

void MainWindow::setupStatisticalDemo(QCustomPlot *customPlot)
{demoName = "Statistical Demo";QCPStatisticalBox *statistical = new QCPStatisticalBox(customPlot->xAxis, customPlot->yAxis);QBrush boxBrush(QColor(60, 60, 255, 100));boxBrush.setStyle(Qt::Dense6Pattern); // make it look oldschoolstatistical->setBrush(boxBrush);// specify data:
/*void QCPStatisticalBox::addData(double key, double minimum, double lowerQuartile, double median, double upperQuartile, double maximum, const QVector<double> &outliers)箱式图：盒须图、盒式图，用作显示一组数据分散情况资料的统计图箱线图的绘制方法是：先找出一组数据的上边缘、下边缘、中位数和两个四分位数；然后， 连接两个四分位数画出箱体；再将上边缘和下边缘与箱体相连接，中位数在箱体中间
*/
//  添加数据到箱式图statistical->addData(1, 1.1, 1.9, 2.25, 2.7, 4.2);statistical->addData(2, 0.8, 1.6, 2.2, 3.2, 4.9, QVector<double>()<<2.25 << 0.7 << 0.34 << 0.45 << 6.2 << 5.84); // provide some outliers as QVectorstatistical->addData(3, 0.2, 0.7, 1.1, 1.6, 2.9);// prepare manual x axis labels:customPlot->xAxis->setSubTicks(false);customPlot->xAxis->setTickLength(0, 4);customPlot->xAxis->setTickLabelRotation(20);
//  创建txt形式的刻度QSharedPointer<QCPAxisTickerText> textTicker(new QCPAxisTickerText);textTicker->addTick(1, "Sample 1");textTicker->addTick(2, "Sample 2");textTicker->addTick(3, "Control Group");
//  设置X轴为txt形式的刻度customPlot->xAxis->setTicker(textTicker);// prepare axes:customPlot->yAxis->setLabel(QString::fromUtf8("O₂ Absorption [mg]"));customPlot->rescaleAxes();customPlot->xAxis->scaleRange(1.7, customPlot->xAxis->range().center());customPlot->yAxis->setRange(0, 7);customPlot->setInteractions(QCP::iRangeDrag | QCP::iRangeZoom);
}

QCostomPlot 示例注解 2相关推荐

QCostomPlot 示例注解 1
示例1 包含两个折线图折线图颜色,和X轴的闭合填充颜色坐标轴自动缩放 void MainWindow::setupSimpleDemo(QCustomPlot *customPlot) {demo ...
QCostomPlot 示例注解 3
Item 在QCustomPlot中,所有的Item都继承自QCPAbstractItem,QCustomPlot给我们提供了一些Item item 说明 QCPItemBracket 括号Item ...
【Android APT】注解处理器 ( Element 注解节点相关操作 )
文章目录一.获取被注解标注的节点二.Element 注解节点类型三.VariableElement 注解节点相关操作四.注解处理器完整代码示例五.博客资源 Android APT 学习 ...
【Java 注解】自定义注解 ( 注解属性定义与赋值 )
文章目录一.自定义注解格式二.注解本质分析三.注解属性及类型四.注解属性类型五.注解属性赋值简化操作一.自定义注解格式分析 Java 中自带的 @Override 注解 , 源码如下 : ...
Mycat1.6之注解多租户
2019独角兽企业重金招聘Python工程师标准>>> Mycat1.6之注解&多租户博客分类: sql 永久链接: http://gaojingsong.iteye.co ...
Spring注解编程基石（四）
目录 AnnotationsScanner 扫描方法扫描source为Class方法扫描source为Method方法辅助方法 MergedAnnotationSelector MergedAn ...
swagger 修改dto注解_Swagger介绍及使用
Swagger介绍及使用导语: 相信无论是前端还是后端开发,都或多或少地被接口文档折磨过.前端经常抱怨后端给的接口文档与实际情况不一致.后端又觉得编写及维护接口文档会耗费不少精力,经常来不及更新.其 ...
Mycat高级进阶---Mycat注解
注解原理概念: MyCat对自身不支持的Sql语句提供了一种解决方案--在要执行的SQL语句前添加额外的一段由注解SQL组织的代码,这样Sql就能正确执行,这段代码称之为"注解" ...
防重复提交（注解+AOP）
恶意请求,服务有瓶颈.复杂业务等! 让某个接口某个人(ip)在某段时间内只能请求N次. 在项目中比较常见的问题也有,那就是连点按钮导致请求多次. 全部由后端来控制,大致方案有使用拦截器.过滤器.切面. ...

QCostomPlot 示例注解 2