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@ -9,540 +9,17 @@ This software is licensed under the term of the GNU Lesser General Public Licens
## Examples ## Examples
This section assembles some simple examples of usage. You can find more (complex) examples for the classes in this repository in the subfolder "test". All test-projects are Qt-projects that use qmake to build. You can load them into QtCreator easily. This section assembles some simple examples of usage.
You can find more (complex) examples for the classes in this repository in the subfolder "test".
### Very simple line-graph All test-projects are Qt-projects that use qmake to build. You can load them into QtCreator easily.
This project (see `./test/jkqtplotter_simpletest/`) simply creates a JKQtPlotter widget (as a new window) and adds a single line-graph (a sine-wave). Data is initialized from two QVector<double> objects.
The QMake project looks like this (see `./test/jkqtplotter_simpletest/jkqtplotter_simpletest.pro`): Choose an example from the list below:
```qmake
# source code for this simple demo [![jkqtplotter_simpletest_imageplot_opencv_small](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest1_small.png) Very Basic Example (Line Graph)](https://github.com/jkriege2/JKQtPlotter/tree/master/test/jkqtmathtext_simpletest)
SOURCES = jkqtplotter_simpletest.cpp [![jkqtplotter_simpletest_imageplot_opencv_small](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_symbols_and_errors_small.png) Simple Line/Symbol Graph With Errorbars](https://github.com/jkriege2/JKQtPlotter/tree/master/test/jkqtplotter_simpletest_symbols_and_errors)
[![jkqtplotter_simpletest_imageplot_opencv_small](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_barchart_small.png) Simple Bar Charts](https://github.com/jkriege2/JKQtPlotter/tree/master/test/jkqtplotter_simpletest_barchart)
# configure Qt [![jkqtplotter_simpletest_imageplot_opencv_small](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/JKQTPbarVerticalGraphStacked_small.png) Stacked Bar Charts](https://github.com/jkriege2/JKQtPlotter/tree/master/test/jkqtplotter_simpletest_stackedbars)
CONFIG += qt [![jkqtplotter_simpletest_imageplot_opencv_small](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_imageplot_small.png) Raw C Image Plot](https://github.com/jkriege2/JKQtPlotter/tree/master/test/jkqtplotter_simpletest_imageplot)
QT += core gui svg [![jkqtplotter_simpletest_imageplot_opencv_small](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_imageplot_opencv_small.png) OpenCV Image Plot](https://github.com/jkriege2/JKQtPlotter/tree/master/test/jkqtplotter_simpletest_imageplot_opencv)
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets printsupport [![jkqtplotter_simpletest_imageplot_opencv_small](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtmathtext_simpletest_small.png) JKQTMathText (LaTeX Renderer)](https://github.com/jkriege2/JKQtPlotter/tree/master/test/jkqtmathtext_simpletest)
# output executable name
TARGET = jkqtplotter_simpletest
# include JKQtPlotter source code
include(../../lib/jkqtplotter.pri)
```
And the soruce code of the main application is (see `./test/jkqtplotter_simpletest/jkqtplotter_simpletest.cpp`):
```c++
#include <QApplication>
#include "jkqtplotter/jkqtplotter.h"
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
// 1. create a plotter window and get a pointer to the internal datastore
// (for convenience)
JKQtPlotter plot;
JKQTPdatastore* ds=plot.getDatastore();
// 2. now we create data for a simple plot (a sine curve)
QVector<double> X, Y;
const int Ndata=100;
for (int i=0; i<Ndata; i++) {
const double x=double(i)/double(Ndata)*8.0*M_PI;
X<<x;
Y<<sin(x);
}
// 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), so
// you can reuse X and Y afterwards!
// The variables columnX and columnY will contain the internal column ID
// of the newlycreated columns with names "x" and "y" and the (copied)
// data from X and Y.
size_t columnX=ds->addCopiedColumn(X, "x");
size_t columnY=ds->addCopiedColumn(Y, "y");
// 4. create a graph in the plot, which plots the dataset X/Y:
JKQTPxyLineGraph* graph1=new JKQTPxyLineGraph(&plot);
graph1->set_xColumn(columnX);
graph1->set_yColumn(columnY);
graph1->set_title(QObject::tr("sine graph"));
// 5. add the graph to the plot, so it is actually displayed
plot.addGraph(graph1);
// 6. autoscale the plot so the graph is contained
plot.zoomToFit();
// show plotter and make it a decent size
plot.show();
plot.resize(600,400);
return app.exec();
}
```
The result looks like this:
![jkqtplotter_simpletest1](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest1.png)
### Simple line-graph with error bars
This project (see `./test/jkqtplotter_simpletest_symbols_and_errors/`) simply creates a JKQtPlotter widget (as a new window) and adds a single line-graph (a sine-wave) that has y-errorbars. In addition, this example shows how to change some of the axis properties and how to use LaTeX markup to format axis labels (can actually be used for all labels in JKQtPlotter). Also, in comparison to the last example, here we initialize the data from C-type arrays (double*), instead of QVector<double> objects.
The soruce code of the main application is (see `./test/jkqtplotter_simpletest_symbols_and_errors/jkqtplotter_simpletest_symbols_and_errors.cpp`):
```c++
#include <QApplication>
#include "jkqtplotter/jkqtplotter.h"
// number of datapoints:
#define Ndata 10
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
JKQtPlotter plot;
JKQTPdatastore* ds=plot.getDatastore();
// 2. now we create data for a simple plot (a sine curve with lin. increasing errors)
double X[Ndata], Y[Ndata], YERROR[Ndata];
for (int i=0; i<Ndata; i++) {
X[i]=double(i)/double(Ndata)*2.0*M_PI;
Y[i]=sin(X[i]);
YERROR[i]=0.2+double(i)/double(Ndata)*0.25;
}
// 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), so you can
// reuse X and Y afterwards!
// the variables columnX and columnY will contain the internal column ID of the newly
// created columns with names "x" and "y" and the (copied) data from X and Y.
size_t columnX=ds->addCopiedColumn(X, Ndata, "x");
size_t columnY=ds->addCopiedColumn(Y, Ndata, "y");
size_t columnYE=ds->addCopiedColumn(YERROR, Ndata, "y-error");
// 4. create a graph in the plot, which plots the dataset X/Y:
JKQTPxyLineErrorGraph* graph1=new JKQTPxyLineErrorGraph(&plot);
graph1->set_xColumn(columnX);
graph1->set_yColumn(columnY);
graph1->set_yErrorColumn(columnYE);
graph1->set_symbol(JKQTPfilledStar); // set symbol style
graph1->set_yErrorStyle(JKQTPerrorBars); // set error indicator type
graph1->set_drawLine(false); // don't draw a line
graph1->set_title(QObject::tr("sine graph"));
// 5. add the graph to the plot, so it is actually displayed
plot.addGraph(graph1);
// 6. hide 0-lines
plot.getXAxis()->set_showZeroAxis(false);
plot.getYAxis()->set_showZeroAxis(false);
// 7. set some axis properties (we use LaTeX for nice equation rendering)
plot.getXAxis()->set_axisLabel(QObject::tr("x-axis $x$ [mm]"));
plot.getYAxis()->set_axisLabel(QObject::tr("\\textbf{\\color{red}{y-axis} $\\left(y=\\sin(x)\\pm(0.2+0.25\\cdot x)\\right)$ [A.U.]}"));
plot.getXAxis()->set_labelFont("Arial");
plot.getYAxis()->set_labelFont("Times New Roman");
plot.getYAxis()->set_labelFontSize(12); // large x-axis label
plot.getYAxis()->set_tickLabelFontSize(10); // and larger y-axis tick labels
// 8. autoscale the plot so the graph is contained
plot.zoomToFit();
// show plotter and make it a decent size
plot.show();
plot.resize(600,400);
return app.exec();
}
```
The result looks like this:
![jkqtplotter_simpletest_symbols_and_errors](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_symbols_and_errors.png)
### Simple barchart
This project (see `./test/jkqtplotter_simpletest_barchart/`) simply creates a JKQtPlotter widget (as a new window) and adds several barcharts. They are ordered in groups.
The soruce code of the main application is (see `./test/jkqtplotter_simpletest_barchart/jkqtplotter_simpletest_barchart.cpp`):
```c++
#include <QApplication>
#include "jkqtplotter/jkqtplotter.h"
#include "jkqtplotter/jkqtpbarchartelements.h"
#define Ndata 5
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
JKQtPlotter plot;
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 three simple barchart
QString L[Ndata]={ "cat. A", "cat. B", "cat. C", "cat. D", "other"};
double X[Ndata]={ 1, 2, 3, 4, 5};
double Y1[Ndata]={ 5, 4, 3, 4, 5};
double Y2[Ndata]={ -5, -3, 1, 3, 6};
double Y3[Ndata]={ 6, 2, 5, 3, 6};
// 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 columnX and columnY... will contain the internal column ID of the
// newly created columns with names "x" and "y..." and the (copied) data from X
// and Y...
size_t columnX=ds->addCopiedColumn(X, Ndata, "x");
size_t columnY1=ds->addCopiedColumn(Y1, Ndata, "y1");
size_t columnY2=ds->addCopiedColumn(Y2, Ndata, "y2");
size_t columnY3=ds->addCopiedColumn(Y3, Ndata, "y3");
// 4. create graphs in the plot, which plots the dataset X/Y1, X/Y2 and X/Y3:
JKQTPbarVerticalGraph* graph1=new JKQTPbarVerticalGraph(&plot);
graph1->set_xColumn(columnX);
graph1->set_yColumn(columnY1);
graph1->set_title(QObject::tr("dataset 1"));
JKQTPbarVerticalGraph* graph2=new JKQTPbarVerticalGraph(&plot);
graph2->set_xColumn(columnX);
graph2->set_yColumn(columnY2);
graph2->set_title(QObject::tr("dataset 2"));
JKQTPbarVerticalGraph* graph3=new JKQTPbarVerticalGraph(&plot);
graph3->set_xColumn(columnX);
graph3->set_yColumn(columnY3);
graph3->set_title(QObject::tr("dataset 3"));
// 5. add the graphs to the plot, so it is actually displayed
plot.addGraph(graph1);
plot.addGraph(graph2);
plot.addGraph(graph3);
// 6. now we set the graphs, so they are plotted side-by-side
// This function searches all JKQTPbarVerticalGraph in the current
// plot and sets their shift/scale so they form a nice plot with
// side-by-side groups
graph1->autoscaleBarWidthAndShift(0.75, 1);
// 7. data is grouped into 5 numbere groups (1..5), but we also have string
// labels for these groups (stored in L). In order to display these labels,
// we have to tell the x-Axis to use these special labels:
plot.getXAxis()->addAxisTickLabels(X, L, Ndata);
// also we can rotate the labels a bit (by 45 degree), so they fit better
plot.getXAxis()->set_tickLabelAngle(45);
plot.getXAxis()->set_tickLabelFontSize(12);
// 8. finally we move the plot key/legend to the outside, top-right
// and lay it out as a single row
// NOTE: plot is a descendent of QWidget, which uses an internal object of
// type JKQTBasePlotter, which does the actual plotting.
// So many properties of the plot are only available in this internal
// object, which you can access by plot.get_plotter().
plot.get_plotter()->set_keyPosition(JKQTPkeyOutsideTopRight);
plot.get_plotter()->set_keyLayout(JKQTPkeyLayoutOneRow);
// 9 autoscale the plot so the graph is contained
plot.zoomToFit();
// show plotter and make it a decent size
plot.show();
plot.resize(600,400);
return app.exec();
}
```
The result looks like this:
![jkqtplotter_simpletest_barchart](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_barchart.png)
### Simple stacked barchart
This project (see `./test/jkqtplotter_simpletest_stackedbars/`) simply creates a JKQtPlotter widget (as a new window) and adds several stacked barcharts.
The soruce code of the main application is (see `./test/jkqtplotter_simpletest_stackedbars/jkqtplotter_simpletest_stackedbars.cpp`):
```c++
#include <QApplication>
#include "jkqtplotter/jkqtplotter.h"
#include "jkqtplotter/jkqtpbarchartelements.h"
#define Ndata 5
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
JKQtPlotter plot;
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)
QVector<double> year, percentage_other, percentage_coaloil, percentage_gas, percentage_nuclear, percentage_green;
year << 1990 << 1995 << 2000 << 2005 << 2010 << 2015;
percentage_other << 3.5 << 3.5 << 4.4 << 4.4 << 5 << 5 ;
percentage_coaloil << 58.7 << 55.7 << 51.5 << 48.2 << 42.9 << 43.1;
percentage_gas << 6.5 << 7.7 << 8.5 << 11.7 << 14.1 << 9.6 ;
percentage_nuclear << 27.7 << 28.7 << 29.4 << 26.2 << 22.2 << 14.2;
percentage_green << 3.6 << 4.4 << 6.2 << 9.5 << 15.8 << 28.1;
// 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 cYear=ds->addCopiedColumn(year, "year");
size_t cOther=ds->addCopiedColumn(percentage_other, "other");
size_t cCoalOil=ds->addCopiedColumn(percentage_coaloil, "coal & oil");
size_t cGas=ds->addCopiedColumn(percentage_gas, "natural gas");
size_t cNuclear=ds->addCopiedColumn(percentage_nuclear, "nuclear energy");
size_t cGreen=ds->addCopiedColumn(percentage_green, "green energy");
// 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.
QVector<JKQTPbarVerticalStackableGraph*> graphs;
graphs.push_back(new JKQTPbarVerticalStackableGraph(&plot));
graphs.back()->set_xColumn(cYear);
graphs.back()->set_yColumn(cOther);
graphs.back()->set_title(QObject::tr("other sources"));
graphs.back()->set_fillColor_and_darkenedColor(QColor("red"));
graphs.push_back(new JKQTPbarVerticalStackableGraph(&plot));
graphs.back()->set_xColumn(cYear);
graphs.back()->set_yColumn(cCoalOil);
graphs.back()->set_title(QObject::tr("coal & oil"));
graphs.back()->set_fillColor_and_darkenedColor(QColor("darkgrey"));
graphs.back()->stackUpon(graphs[graphs.size()-2]);
graphs.push_back(new JKQTPbarVerticalStackableGraph(&plot));
graphs.back()->set_xColumn(cYear);
graphs.back()->set_yColumn(cGas);
graphs.back()->set_title(QObject::tr("natural gas"));
graphs.back()->set_fillColor_and_darkenedColor(QColor("blue"));
graphs.back()->stackUpon(graphs[graphs.size()-2]);
graphs.push_back(new JKQTPbarVerticalStackableGraph(&plot));
graphs.back()->set_xColumn(cYear);
graphs.back()->set_yColumn(cNuclear);
graphs.back()->set_title(QObject::tr("nuclear energy"));
graphs.back()->set_fillColor_and_darkenedColor(QColor("gold"));
graphs.back()->stackUpon(graphs[graphs.size()-2]);
graphs.push_back(new JKQTPbarVerticalStackableGraph(&plot));
graphs.back()->set_xColumn(cYear);
graphs.back()->set_yColumn(cGreen);
graphs.back()->set_title(QObject::tr("green energy"));
graphs.back()->set_fillColor_and_darkenedColor(QColor("darkgreen"));
graphs.back()->stackUpon(graphs[graphs.size()-2]);
// 5. add the graphs to the plot, so it is actually displayed
plot.addGraphs(graphs);
// 6. set axis labels
plot.get_xAxis()->set_axisLabel("year");
plot.get_yAxis()->set_axisLabel("fraction of energy production in Germany [%]");
// 7. finally we move the plot key/legend to the outside, top-right
// and lay it out as a single row
// NOTE: plot is a descendent of QWidget, which uses an internal object of
// type JKQTBasePlotter, which does the actual plotting.
// So many properties of the plot are only available in this internal
// object, which you can access by plot.get_plotter().
plot.get_plotter()->set_keyPosition(JKQTPkeyOutsideTopRight);
plot.get_plotter()->set_keyLayout(JKQTPkeyLayoutOneRow);
// 8 autoscale the plot so the graph is contained
plot.zoomToFit();
// show plotter and make it a decent size
plot.show();
plot.resize(600,400);
return app.exec();
}
```
The result looks like this:
![JKQTPbarVerticalGraphStacked](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/doc/images/JKQTPbarVerticalGraphStacked.png)
If you use `JKQTPbarHorizontalGraphStacked` instead of `JKQTPbarVerticalStackableGraph`, you'll get a result like this:
![JKQTPbarHorizontalGraphStacked](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/doc/images/JKQTPbarHorizontalGraphStacked.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.
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
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();
}
```
The result looks like this:
![jkqtplotter_simpletest_imageplot](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_imageplot.png)
[![jkqtplotter_simpletest_imageplot_opencv_small](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_imageplot_opencv_small.png)](https://github.com/jkriege2/JKQtPlotter/master/test/jkqtplotter_simpletest_imageplot_opencv)
# JKQTmathText
JKQTmathText is a hand-written LaTeX-renderer for Qt (implemented in native C++, using Qt). It supports a large set of standard LaTeX markup and can render it to a QPainter.
## A simple usage example
This project (see `./test/jkqtmathtext_simpletest/`) simply creates a QLabel (as a new window) that displays a rendered LaTeX equation (here the time-dependent Schrödinger equation).
The QMake project looks like this (see `./test/jkqtmathtext_simpletest/jkqtmathtext_simpletest.pro`):
```qmake
# include JKQTmathText source-code, including the open-source XITS fonts
include(../../lib/jkqtmathtext_with_xits.pri)
SOURCES += jkqtmathtext_simpletest.cpp
# if you don't want to use the XITS fonts, use this line (and uncomment the
# last two line!):
#include(../../lib/jkqtmathtext.pri)
CONFIG += qt
QT += core gui
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets printsupport
TARGET = jkqtmathtext_simpletest
```
And the soruce code of the main application is (see `./test/jkqtmathtext_simpletest/jkqtmathtext_simpletest.cpp`):
```c++
#include <QApplication>
#include <QLabel>
#include <QPixmap>
#include "jkqtmathtext/jkqtmathtext.h"
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
// we use a simple label to display the math text
QLabel lab;
// 1. we will paint into a QPixmap
QPixmap pix(600,400);
pix.fill(QColor("white"));
QPainter painter;
// 2. now we create a JKQTmathText object.
// Also we configure the JKQTmathText to use the XITS fonts that
// were included in the *.pro-file
JKQTmathText mathText;
mathText.useXITS();
mathText.set_fontSize(20);
// 3. now we parse some LaTeX code (the Schroedinger's equation), so
// we can draw it onto the QPixmap in the next step
mathText.parse("$\\left[-\\frac{\\hbar^2}{2m}\\frac{\\partial^2}{\\partial x^2}+V(x)\\right]\\Psi(x)=\\mathrm{i}\\hbar\\frac{\\partial}{\\partial t}\\Psi(x)$");
// 3. here we do the painting
painter.begin(&pix);
mathText.draw(painter, Qt::AlignCenter, QRectF(0,0,pix.width(), pix.height()), false);
painter.end();
// now we display and resize the label as a window
lab.setPixmap(pix);
lab.show();
lab.resize(600,400);
return app.exec();
}
```
The result looks like this:
![jkqtmathtext_simpletest](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtmathtext_simpletest.png)

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[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)
# JKQtPlotter
## JKQTmathText
JKQTmathText is a hand-written LaTeX-renderer for Qt (implemented in native C++, using Qt). It supports a large set of standard LaTeX markup and can render it to a QPainter.
## A simple usage example
This project (see `./test/jkqtmathtext_simpletest/`) simply creates a QLabel (as a new window) that displays a rendered LaTeX equation (here the time-dependent Schrödinger equation).
The QMake project looks like this (see `./test/jkqtmathtext_simpletest/jkqtmathtext_simpletest.pro`):
```qmake
# include JKQTmathText source-code, including the open-source XITS fonts
include(../../lib/jkqtmathtext_with_xits.pri)
SOURCES += jkqtmathtext_simpletest.cpp
# if you don't want to use the XITS fonts, use this line (and uncomment the
# last two line!):
#include(../../lib/jkqtmathtext.pri)
CONFIG += qt
QT += core gui
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets printsupport
TARGET = jkqtmathtext_simpletest
```
And the soruce code of the main application is (see `./test/jkqtmathtext_simpletest/jkqtmathtext_simpletest.cpp`):
```c++
#include <QApplication>
#include <QLabel>
#include <QPixmap>
#include "jkqtmathtext/jkqtmathtext.h"
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
// we use a simple label to display the math text
QLabel lab;
// 1. we will paint into a QPixmap
QPixmap pix(600,400);
pix.fill(QColor("white"));
QPainter painter;
// 2. now we create a JKQTmathText object.
// Also we configure the JKQTmathText to use the XITS fonts that
// were included in the *.pro-file
JKQTmathText mathText;
mathText.useXITS();
mathText.set_fontSize(20);
// 3. now we parse some LaTeX code (the Schroedinger's equation), so
// we can draw it onto the QPixmap in the next step
mathText.parse("$\\left[-\\frac{\\hbar^2}{2m}\\frac{\\partial^2}{\\partial x^2}+V(x)\\right]\\Psi(x)=\\mathrm{i}\\hbar\\frac{\\partial}{\\partial t}\\Psi(x)$");
// 3. here we do the painting
painter.begin(&pix);
mathText.draw(painter, Qt::AlignCenter, QRectF(0,0,pix.width(), pix.height()), false);
painter.end();
// now we display and resize the label as a window
lab.setPixmap(pix);
lab.show();
lab.resize(600,400);
return app.exec();
}
```
The result looks like this:
![jkqtmathtext_simpletest](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtmathtext_simpletest.png)
[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)

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[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)
# JKQtPlotter
## Very simple line-graph
This project (see `./test/jkqtplotter_simpletest/`) simply creates a JKQtPlotter widget (as a new window) and adds a single line-graph (a sine-wave). Data is initialized from two QVector<double> objects.
The QMake project looks like this (see `./test/jkqtplotter_simpletest/jkqtplotter_simpletest.pro`):
```qmake
# source code for this simple demo
SOURCES = jkqtplotter_simpletest.cpp
# configure Qt
CONFIG += qt
QT += core gui svg
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets printsupport
# output executable name
TARGET = jkqtplotter_simpletest
# include JKQtPlotter source code
include(../../lib/jkqtplotter.pri)
```
And the soruce code of the main application is (see `./test/jkqtplotter_simpletest/jkqtplotter_simpletest.cpp`):
```c++
#include <QApplication>
#include "jkqtplotter/jkqtplotter.h"
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
// 1. create a plotter window and get a pointer to the internal datastore
// (for convenience)
JKQtPlotter plot;
JKQTPdatastore* ds=plot.getDatastore();
// 2. now we create data for a simple plot (a sine curve)
QVector<double> X, Y;
const int Ndata=100;
for (int i=0; i<Ndata; i++) {
const double x=double(i)/double(Ndata)*8.0*M_PI;
X<<x;
Y<<sin(x);
}
// 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), so
// you can reuse X and Y afterwards!
// The variables columnX and columnY will contain the internal column ID
// of the newlycreated columns with names "x" and "y" and the (copied)
// data from X and Y.
size_t columnX=ds->addCopiedColumn(X, "x");
size_t columnY=ds->addCopiedColumn(Y, "y");
// 4. create a graph in the plot, which plots the dataset X/Y:
JKQTPxyLineGraph* graph1=new JKQTPxyLineGraph(&plot);
graph1->set_xColumn(columnX);
graph1->set_yColumn(columnY);
graph1->set_title(QObject::tr("sine graph"));
// 5. add the graph to the plot, so it is actually displayed
plot.addGraph(graph1);
// 6. autoscale the plot so the graph is contained
plot.zoomToFit();
// show plotter and make it a decent size
plot.show();
plot.resize(600,400);
return app.exec();
}
```
The result looks like this:
![jkqtplotter_simpletest1](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest1.png)
[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)

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[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)
# JKQtPlotter
## Simple barchart
This project (see `./test/jkqtplotter_simpletest_barchart/`) simply creates a JKQtPlotter widget (as a new window) and adds several barcharts. They are ordered in groups.
The soruce code of the main application is (see `./test/jkqtplotter_simpletest_barchart/jkqtplotter_simpletest_barchart.cpp`):
```c++
#include <QApplication>
#include "jkqtplotter/jkqtplotter.h"
#include "jkqtplotter/jkqtpbarchartelements.h"
#define Ndata 5
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
JKQtPlotter plot;
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 three simple barchart
QString L[Ndata]={ "cat. A", "cat. B", "cat. C", "cat. D", "other"};
double X[Ndata]={ 1, 2, 3, 4, 5};
double Y1[Ndata]={ 5, 4, 3, 4, 5};
double Y2[Ndata]={ -5, -3, 1, 3, 6};
double Y3[Ndata]={ 6, 2, 5, 3, 6};
// 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 columnX and columnY... will contain the internal column ID of the
// newly created columns with names "x" and "y..." and the (copied) data from X
// and Y...
size_t columnX=ds->addCopiedColumn(X, Ndata, "x");
size_t columnY1=ds->addCopiedColumn(Y1, Ndata, "y1");
size_t columnY2=ds->addCopiedColumn(Y2, Ndata, "y2");
size_t columnY3=ds->addCopiedColumn(Y3, Ndata, "y3");
// 4. create graphs in the plot, which plots the dataset X/Y1, X/Y2 and X/Y3:
JKQTPbarVerticalGraph* graph1=new JKQTPbarVerticalGraph(&plot);
graph1->set_xColumn(columnX);
graph1->set_yColumn(columnY1);
graph1->set_title(QObject::tr("dataset 1"));
JKQTPbarVerticalGraph* graph2=new JKQTPbarVerticalGraph(&plot);
graph2->set_xColumn(columnX);
graph2->set_yColumn(columnY2);
graph2->set_title(QObject::tr("dataset 2"));
JKQTPbarVerticalGraph* graph3=new JKQTPbarVerticalGraph(&plot);
graph3->set_xColumn(columnX);
graph3->set_yColumn(columnY3);
graph3->set_title(QObject::tr("dataset 3"));
// 5. add the graphs to the plot, so it is actually displayed
plot.addGraph(graph1);
plot.addGraph(graph2);
plot.addGraph(graph3);
// 6. now we set the graphs, so they are plotted side-by-side
// This function searches all JKQTPbarVerticalGraph in the current
// plot and sets their shift/scale so they form a nice plot with
// side-by-side groups
graph1->autoscaleBarWidthAndShift(0.75, 1);
// 7. data is grouped into 5 numbere groups (1..5), but we also have string
// labels for these groups (stored in L). In order to display these labels,
// we have to tell the x-Axis to use these special labels:
plot.getXAxis()->addAxisTickLabels(X, L, Ndata);
// also we can rotate the labels a bit (by 45 degree), so they fit better
plot.getXAxis()->set_tickLabelAngle(45);
plot.getXAxis()->set_tickLabelFontSize(12);
// 8. finally we move the plot key/legend to the outside, top-right
// and lay it out as a single row
// NOTE: plot is a descendent of QWidget, which uses an internal object of
// type JKQTBasePlotter, which does the actual plotting.
// So many properties of the plot are only available in this internal
// object, which you can access by plot.get_plotter().
plot.get_plotter()->set_keyPosition(JKQTPkeyOutsideTopRight);
plot.get_plotter()->set_keyLayout(JKQTPkeyLayoutOneRow);
// 9 autoscale the plot so the graph is contained
plot.zoomToFit();
// show plotter and make it a decent size
plot.show();
plot.resize(600,400);
return app.exec();
}
```
The result looks like this:
![jkqtplotter_simpletest_barchart](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_barchart.png)
[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)

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[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)
# JKQtPlotter
## 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.
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
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();
}
```
The result looks like this:
![jkqtplotter_simpletest_imageplot](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_imageplot.png)
[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)

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// 3. make data available to JKQtPlotter by adding it to the internal datastore. // 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) // In this step the contents of C-array airydisk is copied into a column
// the variables cYear, cOther ... will contain the internal column ID of the // of the datastore in row-major order
// newly created columns with names "year" and "other" ... and the (copied) data
size_t cAiryDisk=ds->addCopiedImageAsColumn(airydisk, NX, NY, "imagedata"); 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 // 4. create a graph (JKQTPColumnMathImage) with the column created above as data
// fillColor to the given color and makes the outline of the bars (i.e. their "color") a darker // The data is color-coded with the color-palette JKQTPMathImageMATLAB
// shade of the given color. // the converted range of data is determined automatically because set_autoImageRange(true)
JKQTPColumnMathImage* graph=new JKQTPColumnMathImage(&plot); JKQTPColumnMathImage* graph=new JKQTPColumnMathImage(&plot);
graph->set_title(""); graph->set_title("");
// image column with the data
graph->set_imageColumn(cAiryDisk); 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_Nx(NX);
graph->set_Ny(NY); 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_x(-w/2.0);
graph->set_y(-h/2.0); graph->set_y(-h/2.0);
// width and height of the image in plot-axis-coordinates
graph->set_width(w); graph->set_width(w);
graph->set_height(h); graph->set_height(h);
graph->set_palette(JKQTPMathImageMATLAB); // color-map is "MATLAB" // color-map is "MATLAB"
graph->get_colorBarRightAxis()->set_axisLabel("light intensity [A.U.]"); // get coordinate axis of color-bar and set its label 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 // 5. add the graphs to the plot, so it is actually displayed
plot.addGraph(graph); plot.addGraph(graph);
// 6. set axis labels // 6. set axis labels
plot.get_xAxis()->set_axisLabel("x [{\\mu}m]"); plot.get_xAxis()->set_axisLabel("x [{\\mu}m]");
plot.get_yAxis()->set_axisLabel("y [{\\mu}m]"); plot.get_yAxis()->set_axisLabel("y [{\\mu}m]");
// 7. fix axis and plot aspect ratio to 1 // 7. fix axis and plot aspect ratio to 1
plot.get_plotter()->set_maintainAspectRatio(true); plot.get_plotter()->set_maintainAspectRatio(true);
plot.get_plotter()->set_maintainAxisAspectRatio(true); plot.get_plotter()->set_maintainAxisAspectRatio(true);

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[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)
# JKQtPlotter
## Simple stacked barchart
This project (see `./test/jkqtplotter_simpletest_stackedbars/`) simply creates a JKQtPlotter widget (as a new window) and adds several stacked barcharts.
The soruce code of the main application is (see `./test/jkqtplotter_simpletest_stackedbars/jkqtplotter_simpletest_stackedbars.cpp`):
```c++
#include <QApplication>
#include "jkqtplotter/jkqtplotter.h"
#include "jkqtplotter/jkqtpbarchartelements.h"
#define Ndata 5
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
JKQtPlotter plot;
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)
QVector<double> year, percentage_other, percentage_coaloil, percentage_gas, percentage_nuclear, percentage_green;
year << 1990 << 1995 << 2000 << 2005 << 2010 << 2015;
percentage_other << 3.5 << 3.5 << 4.4 << 4.4 << 5 << 5 ;
percentage_coaloil << 58.7 << 55.7 << 51.5 << 48.2 << 42.9 << 43.1;
percentage_gas << 6.5 << 7.7 << 8.5 << 11.7 << 14.1 << 9.6 ;
percentage_nuclear << 27.7 << 28.7 << 29.4 << 26.2 << 22.2 << 14.2;
percentage_green << 3.6 << 4.4 << 6.2 << 9.5 << 15.8 << 28.1;
// 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 cYear=ds->addCopiedColumn(year, "year");
size_t cOther=ds->addCopiedColumn(percentage_other, "other");
size_t cCoalOil=ds->addCopiedColumn(percentage_coaloil, "coal & oil");
size_t cGas=ds->addCopiedColumn(percentage_gas, "natural gas");
size_t cNuclear=ds->addCopiedColumn(percentage_nuclear, "nuclear energy");
size_t cGreen=ds->addCopiedColumn(percentage_green, "green energy");
// 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.
QVector<JKQTPbarVerticalStackableGraph*> graphs;
graphs.push_back(new JKQTPbarVerticalStackableGraph(&plot));
graphs.back()->set_xColumn(cYear);
graphs.back()->set_yColumn(cOther);
graphs.back()->set_title(QObject::tr("other sources"));
graphs.back()->set_fillColor_and_darkenedColor(QColor("red"));
graphs.push_back(new JKQTPbarVerticalStackableGraph(&plot));
graphs.back()->set_xColumn(cYear);
graphs.back()->set_yColumn(cCoalOil);
graphs.back()->set_title(QObject::tr("coal & oil"));
graphs.back()->set_fillColor_and_darkenedColor(QColor("darkgrey"));
graphs.back()->stackUpon(graphs[graphs.size()-2]);
graphs.push_back(new JKQTPbarVerticalStackableGraph(&plot));
graphs.back()->set_xColumn(cYear);
graphs.back()->set_yColumn(cGas);
graphs.back()->set_title(QObject::tr("natural gas"));
graphs.back()->set_fillColor_and_darkenedColor(QColor("blue"));
graphs.back()->stackUpon(graphs[graphs.size()-2]);
graphs.push_back(new JKQTPbarVerticalStackableGraph(&plot));
graphs.back()->set_xColumn(cYear);
graphs.back()->set_yColumn(cNuclear);
graphs.back()->set_title(QObject::tr("nuclear energy"));
graphs.back()->set_fillColor_and_darkenedColor(QColor("gold"));
graphs.back()->stackUpon(graphs[graphs.size()-2]);
graphs.push_back(new JKQTPbarVerticalStackableGraph(&plot));
graphs.back()->set_xColumn(cYear);
graphs.back()->set_yColumn(cGreen);
graphs.back()->set_title(QObject::tr("green energy"));
graphs.back()->set_fillColor_and_darkenedColor(QColor("darkgreen"));
graphs.back()->stackUpon(graphs[graphs.size()-2]);
// 5. add the graphs to the plot, so it is actually displayed
plot.addGraphs(graphs);
// 6. set axis labels
plot.get_xAxis()->set_axisLabel("year");
plot.get_yAxis()->set_axisLabel("fraction of energy production in Germany [%]");
// 7. finally we move the plot key/legend to the outside, top-right
// and lay it out as a single row
// NOTE: plot is a descendent of QWidget, which uses an internal object of
// type JKQTBasePlotter, which does the actual plotting.
// So many properties of the plot are only available in this internal
// object, which you can access by plot.get_plotter().
plot.get_plotter()->set_keyPosition(JKQTPkeyOutsideTopRight);
plot.get_plotter()->set_keyLayout(JKQTPkeyLayoutOneRow);
// 8 autoscale the plot so the graph is contained
plot.zoomToFit();
// show plotter and make it a decent size
plot.show();
plot.resize(600,400);
return app.exec();
}
```
The result looks like this:
![JKQTPbarVerticalGraphStacked](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/doc/images/JKQTPbarVerticalGraphStacked.png)
If you use `JKQTPbarHorizontalGraphStacked` instead of `JKQTPbarVerticalStackableGraph`, you'll get a result like this:
![JKQTPbarHorizontalGraphStacked](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/doc/images/JKQTPbarHorizontalGraphStacked.png)
[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)

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[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)
# JKQtPlotter
## Simple line-graph with error bars
This project (see `./test/jkqtplotter_simpletest_symbols_and_errors/`) simply creates a JKQtPlotter widget (as a new window) and adds a single line-graph (a sine-wave) that has y-errorbars. In addition, this example shows how to change some of the axis properties and how to use LaTeX markup to format axis labels (can actually be used for all labels in JKQtPlotter). Also, in comparison to the last example, here we initialize the data from C-type arrays (double*), instead of QVector<double> objects.
The soruce code of the main application is (see `./test/jkqtplotter_simpletest_symbols_and_errors/jkqtplotter_simpletest_symbols_and_errors.cpp`):
```c++
#include <QApplication>
#include "jkqtplotter/jkqtplotter.h"
// number of datapoints:
#define Ndata 10
int main(int argc, char* argv[])
{
QApplication app(argc, argv);
// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
JKQtPlotter plot;
JKQTPdatastore* ds=plot.getDatastore();
// 2. now we create data for a simple plot (a sine curve with lin. increasing errors)
double X[Ndata], Y[Ndata], YERROR[Ndata];
for (int i=0; i<Ndata; i++) {
X[i]=double(i)/double(Ndata)*2.0*M_PI;
Y[i]=sin(X[i]);
YERROR[i]=0.2+double(i)/double(Ndata)*0.25;
}
// 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), so you can
// reuse X and Y afterwards!
// the variables columnX and columnY will contain the internal column ID of the newly
// created columns with names "x" and "y" and the (copied) data from X and Y.
size_t columnX=ds->addCopiedColumn(X, Ndata, "x");
size_t columnY=ds->addCopiedColumn(Y, Ndata, "y");
size_t columnYE=ds->addCopiedColumn(YERROR, Ndata, "y-error");
// 4. create a graph in the plot, which plots the dataset X/Y:
JKQTPxyLineErrorGraph* graph1=new JKQTPxyLineErrorGraph(&plot);
graph1->set_xColumn(columnX);
graph1->set_yColumn(columnY);
graph1->set_yErrorColumn(columnYE);
graph1->set_symbol(JKQTPfilledStar); // set symbol style
graph1->set_yErrorStyle(JKQTPerrorBars); // set error indicator type
graph1->set_drawLine(false); // don't draw a line
graph1->set_title(QObject::tr("sine graph"));
// 5. add the graph to the plot, so it is actually displayed
plot.addGraph(graph1);
// 6. hide 0-lines
plot.getXAxis()->set_showZeroAxis(false);
plot.getYAxis()->set_showZeroAxis(false);
// 7. set some axis properties (we use LaTeX for nice equation rendering)
plot.getXAxis()->set_axisLabel(QObject::tr("x-axis $x$ [mm]"));
plot.getYAxis()->set_axisLabel(QObject::tr("\\textbf{\\color{red}{y-axis} $\\left(y=\\sin(x)\\pm(0.2+0.25\\cdot x)\\right)$ [A.U.]}"));
plot.getXAxis()->set_labelFont("Arial");
plot.getYAxis()->set_labelFont("Times New Roman");
plot.getYAxis()->set_labelFontSize(12); // large x-axis label
plot.getYAxis()->set_tickLabelFontSize(10); // and larger y-axis tick labels
// 8. autoscale the plot so the graph is contained
plot.zoomToFit();
// show plotter and make it a decent size
plot.show();
plot.resize(600,400);
return app.exec();
}
```
The result looks like this:
![jkqtplotter_simpletest_symbols_and_errors](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_symbols_and_errors.png)
[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)