JKQtPlotter/examples/impulsesplot/impulsesplot.cpp

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/** \example impulsesplot.cpp
* Shows how to plot impulse graphs with JKQTPlotter
*
* \ref JKQTPlotterImpulsePlots
*/
#include <QApplication>
#include "jkqtplotter/jkqtplotter.h"
2019-06-20 22:06:31 +08:00
#include "jkqtplotter/graphs/jkqtpimpulses.h"
// number of datapoints:
#define Ndata 40
int main(int argc, char* argv[])
{
#if QT_VERSION >= 0x050600
QApplication::setAttribute(Qt::AA_EnableHighDpiScaling); // DPI support
QCoreApplication::setAttribute(Qt::AA_UseHighDpiPixmaps); //HiDPI pixmaps
#endif
QApplication app(argc, argv);
// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
JKQTPlotter plot;
JKQTPDatastore* ds=plot.getDatastore();
// 2. now we create data for a simple plot (a sine curve with lin. increasing errors)
QVector<double> X, Y;
for (int i=0; i<Ndata; i++) {
const double xx=double(i)/double(Ndata)*6.0*JKQTPSTATISTICS_PI;
X << xx;
Y << cos(xx)*exp(-xx/10.0);
}
// 3. add data from vectors to the datastore
size_t columnX=ds->addCopiedColumn(X, "x");
size_t columnY=ds->addCopiedColumn(Y, "y");
// 4. create a vertical impulse graph in the plot, which plots the dataset X/Y:
JKQTPImpulsesVerticalGraph* graph=new JKQTPImpulsesVerticalGraph(&plot);
graph->setXColumn(columnX);
graph->setYColumn(columnY);
graph->setLineWidth(2);
graph->setColor(QColor("red"));
graph->setTitle(QObject::tr("$\\cos(x)\\cdot\\exp(-x/10)$"));
//graph->setDrawSymbols(true);
//graph->setSymbolType(JKQTPGraphSymbols::JKQTPFilledStar);
//graph->setBaseline(0.25);
// 5. add the graph to the plot, so it is actually displayed
plot.addGraph(graph);
// 6. set some axis properties (we use LaTeX for nice equation rendering)
plot.getXAxis()->setAxisLabel(QObject::tr("x-axis"));
plot.getYAxis()->setAxisLabel(QObject::tr("y-axis"));
// 7. switch the grid off
plot.getXAxis()->setDrawGrid(false);
plot.getYAxis()->setDrawGrid(false);
// 8. autoscale the plot so the graph is contained
plot.zoomToFit();
// show plotter and make it a decent size
plot.show();
plot.resize(600,400);
return app.exec();
}