JKQtPlotter/examples/imageplot_modifier/imageplot_modifier.cpp

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/** \example imageplot_modifier.cpp
* Shows how to plot colored math images/matrices modified by a second data-column/image with JKQTPlotter
*
* \ref JKQTPlotterImagePlotModifier
*/
#include <QApplication>
#include <cmath>
#include "jkqtplotter/jkqtplotter.h"
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#include "jkqtplotter/graphs/jkqtpimage.h"
#ifndef M_PI
#define M_PI 3.14159265358979323846
#endif
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
JKQTPlotter plot;
// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
plot.getPlotter()->setUseAntiAliasingForGraphs(true); // nicer (but slower) plotting
plot.getPlotter()->setUseAntiAliasingForSystem(true); // nicer (but slower) plotting
plot.getPlotter()->setUseAntiAliasingForText(true); // nicer (but slower) text rendering
JKQTPDatastore* ds=plot.getDatastore();
// 2. now we create data for the charts (taken from https://commons.wikimedia.org/wiki/File:Energiemix_Deutschland.svg)
const int NX=150; // image dimension in x-direction [pixels]
const int NY=150; // image dimension in x-direction [pixels]
double image[NX*NY]; // row-major image
double modifier[NX*NY]; // row-major modfier image
// 2 calculate image of airy disk in a row-major array
double x, y=-static_cast<double>(NY)/2.0;
for (int iy=0; iy<NY; iy++ ) {
x=-static_cast<double>(NX)/2.0;
for (int ix=0; ix<NX; ix++ ) {
const double r=sqrt(x*x+y*y);
image[iy*NX+ix] = cos(M_PI*r/20.0);
modifier[iy*NX+ix] = 1.0-r/sqrt(NX*NX/4.0+NY*NY/4.0);
x+=1;
}
y+=1;
}
// 3. make data available to JKQTPlotter by adding it to the internal datastore.
// In this step the contents of C-array airydisk is copied into a column
// of the datastore in row-major order
size_t cImage=ds->addCopiedImageAsColumn(image, NX, NY, "imagedata");
size_t cModifier=ds->addCopiedImageAsColumn(modifier, NX, NY, "modifier");
// 4. create a graph (JKQTPColumnMathImage) with the column created above as data
// The data is color-coded with the color-palette JKQTPMathImageMATLAB
// the converted range of data is determined automatically because setAutoImageRange(true)
JKQTPColumnMathImage* graph=new JKQTPColumnMathImage(&plot);
graph->setTitle("");
// image column with the data
graph->setImageColumn(cImage);
// now set the modifier image:
graph->setModifierColumn(cModifier);
graph->setAutoModifierRange(true);
// ... and specify which image property is modified (here the saturation, but ModifyAlpha for the transparency and ModifyValue from the HSV color-model are also possible):
graph->setModifierMode(JKQTPMathImageBase::ModifySaturation);
// set size of the data (the datastore does not contain this info, as it only manages 1D columns of data and this is used to assume a row-major ordering
graph->setNx(NX);
graph->setNy(NY);
// where does the image start in the plot, given in plot-axis-coordinates (bottom-left corner)
graph->setX(-NX/2.0);
graph->setY(-NX/2.0);
// width and height of the image in plot-axis-coordinates
graph->setWidth(NX);
graph->setHeight(NY);
// color-map is "MATLAB"
graph->setPalette(JKQTPMathImageMATLAB);
// determine min/max of data automatically and use it to set the range of the color-scale
graph->setAutoImageRange(true);
// 5. add the graphs to the plot, so it is actually displayed
plot.addGraph(graph);
// 6. set axis labels
plot.getXAxis()->setAxisLabel("x [{\\mu}m]");
plot.getYAxis()->setAxisLabel("y [{\\mu}m]");
// 7. fix axis and plot aspect ratio to 1
plot.getPlotter()->setMaintainAspectRatio(true);
plot.getPlotter()->setMaintainAxisAspectRatio(true);
// 8 autoscale the plot so the graph is contained
plot.zoomToFit();
// show plotter and make it a decent size
plot.show();
plot.resize(600,600);
plot.setWindowTitle("JKQTPColumnMathImage");
return app.exec();
}