2018-12-29 00:46:47 +08:00
# include <QApplication>
# include <cmath>
# include "jkqtplotter/jkqtplotter.h"
# include "jkqtplotter/jkqtpgraphsimage.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 . get_plotter ( ) - > set_useAntiAliasingForGraphs ( true ) ; // nicer (but slower) plotting
plot . get_plotter ( ) - > set_useAntiAliasingForSystem ( true ) ; // nicer (but slower) plotting
plot . get_plotter ( ) - > set_useAntiAliasingForText ( 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 = 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 ) ;
const double v = 2.0 * M_PI * NA * r / wavelength ;
airydisk [ iy * NX + ix ] = pow ( 2.0 * j1 ( v ) / v , 2 ) ;
x + = dx ;
}
y + = dy ;
}
// 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 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
// the converted range of data is determined automatically because set_autoImageRange(true)
JKQTPColumnMathImage * graph = new JKQTPColumnMathImage ( & plot ) ;
graph - > set_title ( " " ) ;
// image column with the data
graph - > set_imageColumn ( cAiryDisk ) ;
// 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 - > set_Nx ( NX ) ;
graph - > set_Ny ( NY ) ;
// where does the image start in the plot, given in plot-axis-coordinates (bottom-left corner)
graph - > set_x ( - w / 2.0 ) ;
graph - > set_y ( - h / 2.0 ) ;
// width and height of the image in plot-axis-coordinates
graph - > set_width ( w ) ;
graph - > set_height ( h ) ;
// color-map is "MATLAB"
graph - > set_palette ( JKQTPMathImageMATLAB ) ;
// get coordinate axis of color-bar and set its label
graph - > get_colorBarRightAxis ( ) - > set_axisLabel ( " light intensity [A.U.] " ) ;
// determine min/max of data automatically and use it to set the range of the color-scale
graph - > set_autoImageRange ( true ) ;
// you can set the color-scale range manually by using:
// graph->set_autoImageRange(false);
// graph->set_imageMin(0);
// graph->set_imageMax(10);
// 5. add the graphs to the plot, so it is actually displayed
plot . addGraph ( graph ) ;
// 6. set axis labels
plot . get_xAxis ( ) - > set_axisLabel ( " x [{ \\ mu}m] " ) ;
plot . get_yAxis ( ) - > set_axisLabel ( " y [{ \\ mu}m] " ) ;
// 7. fix axis and plot aspect ratio to 1
plot . get_plotter ( ) - > set_maintainAspectRatio ( true ) ;
plot . get_plotter ( ) - > set_maintainAxisAspectRatio ( 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 ( ) ;
}