# Example (JKQTPlotter): Simple math image plot, showin a 1-channel CImg image {#JKQTPlotterImagePlotCImg} This project (see `./examples/imageplot_cimg/`) simply creates a JKQTPlotter widget (as a new window) and adds a color-coded image plot of a mathematical function (here the Airy disk). The image is generated as a [CImg](https://cimg.org/) [`cimg_library::CImg`](http://cimg.eu/reference/structcimg__library_1_1CImg.html) image and then copied into a single column of the internal datastore (JKQTPMathImage could be directly used without the internal datastore). To copy the data a special CImg Interface function `JKQTPCopyCImgToColumn()` is used, that copies the data from a [`cimg_library::CImg`](http://cimg.eu/reference/structcimg__library_1_1CImg.html) directly into a column. The function `JKQTPCopyCImgToColumn()` is available from the (non-default) header-only extension from `jkqtplotter/jkqtpinterfacecimg.h`. This header provides facilities to interface JKQTPlotter with CImg. The CImg-binding itself is header-only, and NOT compiled into the JKQtPlotter libraries. Therefore you can simply include the header and use the facilities provided by it. The CMake-build system of JKQtPlotter (and its examples) provides facilities to allow for `find_package(CImg)` to compile against that library. If you want to build the CImg-based JKQtPlotter examples (see list above), you either have to ensure that CMake finds CImg by itself (i.e. somewhere in the default search paths, e.g. `CMAKE_INSTALL_PREFIX`), or you can set the CMake variable `CImg_DIR` so it points to the directory of the `CImg.h` file, or before configuring JKQtPlotter. The source code of the main application is (see [`imageplot_cimg.cpp`](https://github.com/jkriege2/JKQtPlotter/tree/master/examples/imageplot_cimg/imageplot_cimg.cpp): ```.cpp #include #include #include "jkqtplotter/jkqtplotter.h" #include "jkqtplotter/graphs/jkqtpscatter.h" #include "jkqtplotter/graphs/jkqtpimage.h" #include "jkqtplotter/jkqtpinterfacecimg.h" #include "CImg.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) cimg_library::CImg airydisk(150, 150); // CImg-Image for the data 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(airydisk.width())*dx; const double h=static_cast(airydisk.height())*dy; // 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 is copied into a column // of the datastore in row-major order size_t cAiryDisk=JKQTPCopyCImgToColumn(ds, airydisk, "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 setAutoImageRange(true) JKQTPColumnMathImage* graph=new JKQTPColumnMathImage(&plot); graph->setTitle(""); // image column with the data graph->setImageColumn(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 // where does the image start in the plot, given in plot-axis-coordinates (bottom-left corner) graph->setX(-w/2.0); graph->setY(-h/2.0); // width and height of the image in plot-axis-coordinates graph->setWidth(w); graph->setHeight(h); // color-map is "MATLAB" graph->setColorPalette(JKQTPMathImageMATLAB); // get coordinate axis of color-bar and set its label graph->getColorBarRightAxis()->setAxisLabel("light intensity [A.U.]"); // determine min/max of data automatically and use it to set the range of the color-scale graph->setAutoImageRange(true); // you can set the color-scale range manually by using: // graph->setAutoImageRange(false); // graph->setImageMin(0); // graph->setImageMax(10); // 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(); } ``` The result looks like this: ![imageplot](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/imageplot_cimg.png) See [`examples/imageplot`](https://github.com/jkriege2/JKQtPlotter/tree/master/examples/imageplot) for a detailed description of the other possibilities that the class JKQTPColumnMathImage (and also JKQTPMathImage) offer with respect to determining how an image is plottet.