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/** \example imageplot.cpp
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* Shows how to plot colored math images / matrices with JKQTPlotter
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*
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* \ ref JKQTPlotterImagePlot
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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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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 = 100 ; // image dimension in x-direction [pixels]
const int NY = 100 ; // image dimension in x-direction [pixels]
const double dx = 1e-2 ; // size of a pixel in x-direction [micrometers]
const double dy = 1e-2 ; // size of a pixel in x-direction [micrometers]
const double w = static_cast < double > ( NX ) * dx ;
const double h = static_cast < double > ( NY ) * dy ;
double airydisk [ NX * NY ] ; // row-major image
// 2.1 Parameters for airy disk plot (see https://en.wikipedia.org/wiki/Airy_disk)
double NA = 1.1 ; // numerical aperture of lens
double wavelength = 488e-3 ; // wavelength of the light [micrometers]
// 2.2 calculate image of airy disk in a row-major array
double x , y = - h / 2.0 ;
for ( int iy = 0 ; iy < NY ; iy + + ) {
x = - w / 2.0 ;
for ( int ix = 0 ; ix < NX ; ix + + ) {
const double r = sqrt ( x * x + y * y ) ;
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const double v = 2.0 * JKQTPSTATISTICS_PI * NA * r / wavelength ;
airydisk [ iy * NX + ix ] = pow ( 2.0 * jkqtp_j1 ( v ) / v , 2 ) ;
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x + = dx ;
}
y + = dy ;
}
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// JKQTPSTATISTICS_PIake 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 cAiryDisk = ds - > addCopiedImageAsColumn ( airydisk , NX , NY , " imagedata " ) ;
// 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 ( cAiryDisk ) ;
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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 ( - w / 2.0 ) ;
graph - > setY ( - h / 2.0 ) ;
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// width and height of the image in plot-axis-coordinates
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graph - > setWidth ( w ) ;
graph - > setHeight ( h ) ;
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// color-map is "MATLAB"
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graph - > setPalette ( JKQTPMathImageMATLAB ) ;
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// get coordinate axis of color-bar and set its label
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graph - > getColorBarRightAxis ( ) - > setAxisLabel ( " light intensity [A.U.] " ) ;
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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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// you can set the color-scale range manually by using:
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// graph->setAutoImageRange(false);
// graph->setImageMin(0);
// graph->setImageMax(10);
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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 ( ) ;
plot . resize ( 600 , 600 ) ;
plot . setWindowTitle ( " JKQTPColumnMathImage " ) ;
return app . exec ( ) ;
}