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56e54baee9
new: Example simpletest_datastore, which demonstrates the extended interface of JKQTPDatastore
141 lines
6.5 KiB
C++
141 lines
6.5 KiB
C++
/** \example jkqtplotter_simpletest_datastore.cpp
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* A very basic example for the usage of JKQTPlotter
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*
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* \ref JKQTPlottersimpletest_datastore
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*/
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#include <QApplication>
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#include "jkqtplotter/jkqtplotter.h"
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#include "jkqtplotter/jkqtpgraphsscatter.h"
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#include "jkqtplotter/jkqtpgraphsimage.h"
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int main(int argc, char* argv[])
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{
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QApplication app(argc, argv);
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// 1. create a plotter window and get a pointer to the internal datastore (for convenience)
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JKQTPlotter plot;
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JKQTPDatastore* datastore=plot.getDatastore();
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JKQTPXYLineGraph* linegraph;
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JKQTPColumnMathImage* imggraph;
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JKQTPXYParametrizedScatterGraph* paramscattergraph;
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// 2. first we create data inside a QVector for a simple plot (a sine curve) ... and add the plot
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// note that you could use a std::vector equally well
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QVector<double> X, Y;
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const int Ndata=100;
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for (int i=0; i<Ndata; i++) {
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const double x=double(i)/double(Ndata)*8.0*M_PI;
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X<<x;
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Y<<sin(x);
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}
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plot.addGraph(linegraph=new JKQTPXYLineGraph(&plot));
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// by calling JKQTPDatastore::addCopiedColumn() the data is COPIED from the vector into the datastore
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linegraph->setXColumn(datastore->addCopiedColumn(X, "x"));
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linegraph->setYColumn(datastore->addCopiedColumn(Y, "y"));
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// alternatively you can also tell JKQTPDatastore to just reference an external array:
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//linegraph->setXColumn(datastore->addColumn(X.data(), X.size(), "x"));
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//linegraph->setYColumn(datastore->addColumn(Y.data(), Y.size(), "Y"));
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linegraph->setTitle(QObject::tr("sine graph"));
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// 3. Now we generate a plot from data in a C-array, just reference in the JKQTPDatastore
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#define NDATA 5
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double XCA[NDATA]= { 1, 2, 3, 4, 5 };
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double YCA[NDATA]= { 1, 0, 1, 0, 1 };
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plot.addGraph(linegraph=new JKQTPXYLineGraph(&plot));
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linegraph->setXColumn(datastore->addColumn(XCA, NDATA, "xca (C-array)"));
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linegraph->setYColumn(datastore->addColumn(YCA, NDATA, "yca (C-array)"));
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// of course you could also simply copy the data with a comparable syntax:
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//linegraph->setXColumn(datastore->addCopiedColumn(XCA, NDATA, "xca (C-array)"));
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//linegraph->setYColumn(datastore->addCopiedColumn(YCA, NDATA, "yca (C-array)"));
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linegraph->setTitle(QObject::tr("linked C-array data"));
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// 4. Since graphs often display (x,y)-pairs, it may make sense to store them in a map (e.g. for histograms)
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// There there are also functions that copy the contents of a map into a JKQTPDatastore, resulting in
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// two columns beeing added:
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std::map<int, double> datamap;
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datamap[1]=1.1;
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datamap[2]=1.4;
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datamap[4]=1.2;
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datamap[5]=1.8;
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datamap[7]=0.9;
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plot.addGraph(linegraph=new JKQTPXYLineGraph(&plot));
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linegraph->setXYColumns(datastore->addCopiedMap(datamap, "map_x", "map_y"));
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linegraph->setTitle(QObject::tr("copied map"));
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// 5. It is also possible to leave the data mangement completely to the JKQTPDatastore
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// and just edit the data with access functions from JKQTPDatastore:
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plot.addGraph(linegraph=new JKQTPXYLineGraph(&plot));
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// 5.1 this adds a column with 40 values, linearly spaced between 0 and 20 (inclusive).
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size_t colLinX=datastore->addLinearColumn(40, 0, 20, "x_lin");
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// 5.2 this adds a column with one entry for every entry x in the column colLinX, where
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// the entry is calculated by applying a function cos(x)*x/20.0
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size_t colFunc1=datastore->addColumnCalculatedFromColumn(colLinX, [](double x)->double { return cos(x)*x/20.0; }, "cos(x_lin)*x_lin/20.0");
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// the same can be done by this code explicitly:
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// 5.2.1 add a column with as many rows as column colLinX
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//size_t colFunc1=datastore->addColumn(datastore->getRows(colLinX), "cos(x_lin)*x_lin/20.0");
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// 5.2.2 iterate over the data in column colLinX and set a newly calculated value into a row of column colFunc1
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//for (size_t i=0; i<datastore->getRows(colLinX); i++) {
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// double x=datastore->get(colLinX, i);
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// datastore->set(colFunc1, i, cos(x)*x/20.0);
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//}
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linegraph->setXColumn(colLinX);
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linegraph->setYColumn(colFunc1);
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linegraph->setTitle(QObject::tr("calculated column(s)"));
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// 6. The function addLinearGridColumns() generates a rectangular 2D grid of coordinates
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// in row-major order. Here we generate a 10x10 grid with x-coordinates between 10 and 20 (inclusive)
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// and y-coordinates between 1.5 and 3:
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std::pair<size_t,size_t> colLinXY=datastore->addLinearGridColumns(10, 10, 20, 10, 1.5, 3);
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// now we can add another column with 10*10=100 entries and fill it with some values
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// calculated from the the x and y-values in colLinXY:
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size_t imgColumn=datastore->addImageColumn(10, 10, "image values");
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for (size_t i=0; i<datastore->getRows(imgColumn); i++) {
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double x=datastore->get(colLinXY.first, i);
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double y=datastore->get(colLinXY.second, i);
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datastore->set(imgColumn, i, cos((x-15.0))/(x-15.0)*cos((y-2.0))/(x-2.0));
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}
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// alternatively you can access image pixels with setPixel():
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//for (int iy=0; iy<10; iy++) {
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// for (int ix=0; ix<10; ix++) {
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// datastore->setPixel(imgColumn, ix, iy, sin(ix*iy/30.0));
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// }
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//}
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// the loop above can be written more compact using addColumnCalculatedFromColumn():
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//imgColumn=datastore->addColumnCalculatedFromColumn(colLinXY.first, colLinXY.second, [](double x, double y)->double { return cos((x-15.0))/(x-15.0)*cos((y-2.0))/(x-2.0); }, "image value");
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// finally we can use a JKQTPXYParametrizedScatterGraph to display the data from our three columns
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// by using colLinXY->first and colLinXY->second as positions for symbols that are colored, based
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// on the respective value in imgColumn:
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plot.addGraph(paramscattergraph=new JKQTPXYParametrizedScatterGraph(&plot));
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paramscattergraph->setXYColumns(colLinXY);
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paramscattergraph->setColorColumn(imgColumn);
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paramscattergraph->setTitle(QObject::tr("parametrized scatter"));
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// alternatively you can only use the column imgColumn in a JKQTPColumnMathImage
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plot.addGraph(imggraph=new JKQTPColumnMathImage(&plot));
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imggraph->setImageColumn(imgColumn);
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imggraph->setX(21);
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imggraph->setY(1.5);
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imggraph->setWidth(10);
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imggraph->setHeight(1.5);
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imggraph->setTitle(QObject::tr("imgColumn"));
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// 6. autoscale the plot so the graph is contained
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plot.zoomToFit();
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// show plotter and make it a decent size
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plot.show();
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plot.resize(600,400);
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return app.exec();
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}
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