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/** \example imageplot_modifier.cpp
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* Shows how to plot colored math images / matrices modified by a second data - column / image with JKQTPlotter
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*
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* \ ref JKQTPlotterImagePlotModifier
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*/
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# include <QApplication>
# include <cmath>
# include "jkqtplotter/jkqtplotter.h"
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# include "jkqtplotter/graphs/jkqtpimage.h"
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# ifndef M_PI
# define M_PI 3.14159265358979323846
# endif
int main ( int argc , char * argv [ ] )
{
QApplication app ( argc , argv ) ;
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JKQTPlotter plot ;
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// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
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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
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JKQTPDatastore * ds = plot . getDatastore ( ) ;
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// 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 ;
}
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// 3. make data available to JKQTPlotter by adding it to the internal datastore.
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// 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
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// the converted range of data is determined automatically because setAutoImageRange(true)
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JKQTPColumnMathImage * graph = new JKQTPColumnMathImage ( & plot ) ;
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graph - > setTitle ( " " ) ;
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// image column with the data
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graph - > setImageColumn ( cImage ) ;
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// now set the modifier image:
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graph - > setModifierColumn ( cModifier ) ;
graph - > setAutoModifierRange ( true ) ;
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// ... 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):
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graph - > setModifierMode ( JKQTPMathImageModifierMode : : ModifySaturation ) ;
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// 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
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graph - > setNx ( NX ) ;
graph - > setNy ( NY ) ;
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// where does the image start in the plot, given in plot-axis-coordinates (bottom-left corner)
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graph - > setX ( - NX / 2.0 ) ;
graph - > setY ( - NX / 2.0 ) ;
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// width and height of the image in plot-axis-coordinates
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graph - > setWidth ( NX ) ;
graph - > setHeight ( NY ) ;
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// color-map is "MATLAB"
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graph - > setPalette ( JKQTPMathImageMATLAB ) ;
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// determine min/max of data automatically and use it to set the range of the color-scale
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graph - > setAutoImageRange ( true ) ;
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// 5. add the graphs to the plot, so it is actually displayed
plot . addGraph ( graph ) ;
// 6. set axis labels
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plot . getXAxis ( ) - > setAxisLabel ( " x [{ \\ mu}m] " ) ;
plot . getYAxis ( ) - > setAxisLabel ( " y [{ \\ mu}m] " ) ;
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// 7. fix axis and plot aspect ratio to 1
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plot . getPlotter ( ) - > setMaintainAspectRatio ( true ) ;
plot . getPlotter ( ) - > setMaintainAxisAspectRatio ( true ) ;
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// 8 autoscale the plot so the graph is contained
plot . zoomToFit ( ) ;
// show plotter and make it a decent size
plot . show ( ) ;
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plot . resize ( 600 , 600 ) ;
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plot . setWindowTitle ( " JKQTPColumnMathImage " ) ;
return app . exec ( ) ;
}