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added example for MathImagePLot

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jkriege2 2018-11-25 21:09:31 +01:00
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@ -83,6 +83,7 @@ int main(int argc, char* argv[])
}
```
The result looks like this:
![jkqtplotter_simpletest1](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest1.png)
### Simple line-graph with error bars
@ -369,29 +370,110 @@ If you use `JKQTPbarHorizontalGraphStacked` instead of `JKQTPbarVerticalStackabl
![JKQTPbarHorizontalGraphStacked](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/doc/images/JKQTPbarHorizontalGraphStacked.png)
## Screenshots
### Scatter Plots and Boxplots
![Scatterplots](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/screen_scatter.png)
### Different Types of Barcharts
![Barcharts](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/screen_barcharts.png)
### Simple math image plot
This project (see `./test/jkqtplotter_simpletest_imageplot/`) 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 stored as a simple C-array in row-major ordering and then copied into a single column of the internal datasdtore (JKQTPMathImage could be directly used without the internal datastore). This very simple interface can also be used to interface with many common image processing libraries, like CImg or OpenCV.
### Image Plots
You can plot C-arrays as images in different color-coding styles. Diferent Overlays/masks are also available. Finally you can use LaTeX markup to format any axis/plot/tick/... label. there is an internal LaTeX parser in this package.
![Scatterplots](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/screen_images_latex.png)
The soruce code of the main application is (see `./test/jkqtplotter_simpletest_imageplot/jkqtplotter_simpletest_imageplot.cpp`):
```c++
#include <QApplication>
#include <cmath>
#include "jkqtplotter/jkqtplotter.h"
#include "jkqtplotter/jkqtpimageelements.h"
#ifndef M_PI
#define M_PI 3.14159265358979323846
#endif
### Plotting a user-defined (parsed) function
Yes, a complete math expression parser is contained!
![Function Plot](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/screen_functionplot.png)
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
### Axis-Label styles in LogLog-Plot
![LogLog Plot](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/screen_loglog.png)
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;
}
### Parametrized Scatter Plots and Data Viewer
Scatter Plots can have symbols where the shape/color/size is parametrized by a data column. Also the plotter is built around an internal datastore, which you can access (readonly!!!) by a data-viewer that is accessible from the contextmenu in any plot.
![LogLog Plot](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/screen_parmetrizedplots_datatable.png)
// 3. make data available to JKQtPlotter by adding it to the internal datastore.
// Note: In this step the data is copied (of not specified otherwise)
// the variables cYear, cOther ... will contain the internal column ID of the
// newly created columns with names "year" and "other" ... and the (copied) data
size_t cAiryDisk=ds->addCopiedImageAsColumn(airydisk, NX, NY, "imagedata");
// 4. create graphs in the plot, which plots the dataset year/other, year/coal, ...
// The color of the graphs is set by calling set_fillColor_and_darkenedColor(), which sets the
// fillColor to the given color and makes the outline of the bars (i.e. their "color") a darker
// shade of the given color.
JKQTPColumnMathImage* graph=new JKQTPColumnMathImage(&plot);
graph->set_title("");
graph->set_imageColumn(cAiryDisk);
graph->set_Nx(NX);
graph->set_Ny(NY);
graph->set_x(-w/2.0);
graph->set_y(-h/2.0);
graph->set_width(w);
graph->set_height(h);
graph->set_palette(JKQTPMathImageMATLAB); // color-map is "MATLAB"
graph->get_colorBarRightAxis()->set_axisLabel("light intensity [A.U.]"); // get coordinate axis of color-bar and set its label
// 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();
}
```
The result looks like this:
![jkqtplotter_simpletest_imageplot](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_imageplot.png)

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screenshots/README.md
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@ -9,8 +9,11 @@
## Image Plots
You can plot C-arrays as images in different color-coding styles. Diferent Overlays/masks are also available. Finally you can use LaTeX markup to format any axis/plot/tick/... label. there is an internal LaTeX parser in this package.
![Scatterplots](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/screen_images_latex.png)
![Scatterplots](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_imageplot.png)
## Plotting a user-defined (parsed) function
Yes, a complete math expression parser is contained!
@ -22,9 +25,11 @@ Yes, a complete math expression parser is contained!
## Parametrized Scatter Plots and Data Viewer
Scatter Plots can have symbols where the shape/color/size is parametrized by a data column. Also the plotter is built around an internal datastore, which you can access (readonly!!!) by a data-viewer that is accessible from the contextmenu in any plot.
![LogLog Plot](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/screen_parmetrizedplots_datatable.png)
## Barcharts
![JKQTPbarVerticalGraphStacked](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/doc/images/JKQTPbarVerticalGraphStacked.png)
![JKQTPbarHorizontalGraphStacked](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/doc/images/JKQTPbarHorizontalGraphStacked.png)
![jkqtplotter_simpletest_barchart](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_barchart.png)

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test/jkqtplotter_simpletest_imageplot/jkqtplotter_simpletest_imageplot.cpp Normal file
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#include <QApplication>
#include <cmath>
#include "jkqtplotter/jkqtplotter.h"
#include "jkqtplotter/jkqtpimageelements.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.
// Note: In this step the data is copied (of not specified otherwise)
// the variables cYear, cOther ... will contain the internal column ID of the
// newly created columns with names "year" and "other" ... and the (copied) data
size_t cAiryDisk=ds->addCopiedImageAsColumn(airydisk, NX, NY, "imagedata");
// 4. create graphs in the plot, which plots the dataset year/other, year/coal, ...
// The color of the graphs is set by calling set_fillColor_and_darkenedColor(), which sets the
// fillColor to the given color and makes the outline of the bars (i.e. their "color") a darker
// shade of the given color.
JKQTPColumnMathImage* graph=new JKQTPColumnMathImage(&plot);
graph->set_title("");
graph->set_imageColumn(cAiryDisk);
graph->set_Nx(NX);
graph->set_Ny(NY);
graph->set_x(-w/2.0);
graph->set_y(-h/2.0);
graph->set_width(w);
graph->set_height(h);
graph->set_palette(JKQTPMathImageMATLAB); // color-map is "MATLAB"
graph->get_colorBarRightAxis()->set_axisLabel("light intensity [A.U.]"); // get coordinate axis of color-bar and set its label
// 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();
}

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test/jkqtplotter_simpletest_imageplot/jkqtplotter_simpletest_imageplot.pro Normal file
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@ -0,0 +1,16 @@
# source code for this simple demo
SOURCES = jkqtplotter_simpletest_imageplot.cpp
# configure Qt
CONFIG += qt
QT += core gui svg
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets printsupport
# output executable name
TARGET = jkqtplotter_simpletest_imageplot
# include JKQtPlotter source code
include(../../lib/jkqtplotter.pri)
# here you can activate some debug options
#DEFINES += SHOW_JKQTPLOTTER_DEBUG
#DEFINES += JKQTBP_AUTOTIMER