From e66abc47acb3725542e8fb24669cfb35af2f23f8 Mon Sep 17 00:00:00 2001 From: jkriege2 Date: Tue, 15 Aug 2023 09:01:36 +0200 Subject: [PATCH] update plot imaged for tutorials: datastore, datastorw_groupstat, datastore_regression, datastore_iterators, datastore_statistics --- .gitignore | 28 +++++++++++ doc/CMakeLists.txt | 5 ++ .../jkqtmathtext/jkqtmathtext_unicode.png | Bin 3807 -> 3830 bytes doc/images/jkqtmathtext/jkqtmathtext_utf8.png | Bin 3021 -> 3268 bytes examples/datastore/datastore.cpp | 4 +- .../datastore_groupedstat.cpp | 9 +++- examples/datastore_iterators/README.md | 8 +-- .../datastore_iterators.cpp | 7 +++ examples/datastore_regression/README.md | 3 +- .../datastore_regression.cpp | 40 ++++++++++++++- .../datastore_statistics.cpp | 47 +++++++++++------- .../datastore_statistics_2d.cpp | 1 + lib/jkqtplotter/graphs/jkqtppeakstream.cpp | 1 + screenshots/datastore_groupedstat.png | Bin 43936 -> 37716 bytes .../datastore_groupedstat_barchart.png | Bin 10118 -> 9111 bytes .../datastore_groupedstat_barchartrawdata.png | Bin 5327 -> 7840 bytes screenshots/datastore_groupedstat_boxplot.png | Bin 5466 -> 5930 bytes screenshots/datastore_groupedstat_scatter.png | Bin 26042 -> 28563 bytes .../datastore_groupedstat_scatterrawdata.png | Bin 14297 -> 23606 bytes screenshots/datastore_groupedstat_small.png | Bin 12058 -> 5646 bytes screenshots/datastore_image.png | Bin 38292 -> 52561 bytes screenshots/datastore_image_sorted.png | Bin 38292 -> 52561 bytes screenshots/datastore_iterators.png | Bin 0 -> 39221 bytes screenshots/datastore_iterators_cosine.png | Bin 29242 -> 39221 bytes .../datastore_iterators_cosine_ysorted.png | Bin 20430 -> 40294 bytes screenshots/datastore_iterators_small.png | Bin 13243 -> 8007 bytes screenshots/datastore_regression.png | Bin 140376 -> 205722 bytes screenshots/datastore_regression_lin.png | Bin 16393 -> 34942 bytes .../datastore_regression_linrobust.png | Bin 23291 -> 45626 bytes .../datastore_regression_linrobust_p.png | Bin 32999 -> 59964 bytes .../datastore_regression_linweight.png | Bin 24799 -> 44527 bytes .../datastore_regression_nonlinreg.png | Bin 33972 -> 0 bytes .../datastore_regression_nonlinreg_exp.png | Bin 0 -> 31633 bytes .../datastore_regression_nonlinreg_pow.png | Bin 0 -> 35630 bytes screenshots/datastore_regression_polynom.png | Bin 33695 -> 52299 bytes .../datastore_regression_polynom_errros.png | Bin 36576 -> 58572 bytes screenshots/datastore_regression_small.png | Bin 15904 -> 11211 bytes screenshots/datastore_sineimg.png | Bin 8736 -> 7154 bytes screenshots/datastore_statistics.png | Bin 112956 -> 123143 bytes screenshots/datastore_statistics_2d.png | Bin 150864 -> 124954 bytes screenshots/datastore_statistics_2d_small.png | Bin 16307 -> 11245 bytes ...datastore_statistics_boxplots_outliers.png | Bin 12002 -> 17782 bytes .../datastore_statistics_boxplots_simple.png | Bin 13069 -> 19296 bytes .../datastore_statistics_cumhistkde.png | Bin 20480 -> 19736 bytes screenshots/datastore_statistics_dataonly.png | Bin 14862 -> 23033 bytes screenshots/datastore_statistics_hist.png | Bin 27873 -> 31786 bytes screenshots/datastore_statistics_kde.png | Bin 48377 -> 57852 bytes screenshots/datastore_statistics_small.png | Bin 17227 -> 11982 bytes screenshots/imageplot_userpal_program.png | Bin 13807 -> 13914 bytes .../imageplot_userpal_program_small.png | Bin 8008 -> 8094 bytes screenshots/mandelbrot.png | Bin 69468 -> 69509 bytes screenshots/mandelbrot_small.png | Bin 10687 -> 10675 bytes screenshots/multiplot_controlwindow.png | Bin 23170 -> 23189 bytes screenshots/multiplot_controlwindow_small.png | Bin 6245 -> 6240 bytes screenshots/parsedfunctionplot.png | Bin 35624 -> 35626 bytes screenshots/parsedfunctionplot_small.png | Bin 7509 -> 7494 bytes 56 files changed, 125 insertions(+), 28 deletions(-) create mode 100644 screenshots/datastore_iterators.png delete mode 100644 screenshots/datastore_regression_nonlinreg.png create mode 100644 screenshots/datastore_regression_nonlinreg_exp.png create mode 100644 screenshots/datastore_regression_nonlinreg_pow.png diff --git a/.gitignore b/.gitignore index 34dbee36aa..457645d81b 100644 --- a/.gitignore +++ b/.gitignore @@ -136,3 +136,31 @@ Sicherungskopie_* /screenshots/datastore_map_small.png /screenshots/datastore_sine_small.png /screenshots/datastore_sineimg_small.png +/screenshots/datastore_regression_lin_small.png +/screenshots/datastore_regression_linrobust_p_small.png +/screenshots/datastore_regression_linrobust_small.png +/screenshots/datastore_regression_linweight_small.png +/screenshots/datastore_regression_nonlinreg_small.png +/screenshots/datastore_regression_nonlinregdatastore_regression_polynom.png +/screenshots/datastore_regression_nonlinregdatastore_regression_polynom_small.png +/screenshots/datastore_regression_polynom_errros_small.png +/screenshots/datastore_regression_polynom_small.png +/screenshots/datastore_regression_nonlinreg_exp_small.png +/screenshots/datastore_regression_nonlinreg_pow_small.png +/screenshots/datastore_groupedstat_barchart_small.png +/screenshots/datastore_groupedstat_barchartrawdata_small.png +/screenshots/datastore_groupedstat_boxplot_small.png +/screenshots/datastore_groupedstat_scatter_small.png +/screenshots/datastore_groupedstat_scatterrawdata_small.png +/screenshots/simpletest_datastore_iterators_cosine_small.png +/screenshots/simpletest_datastore_iterators_cosine_ysorted_small.png +/screenshots/datastore_iterators_cosine_small.png +/screenshots/datastore_iterators_cosine_ysorted_small.png +/screenshots/simpletest_datastore_iterators_cosine.png +/screenshots/simpletest_datastore_iterators_cosine_ysorted.png +/screenshots/datastore_statistics_boxplots_outliers_small.png +/screenshots/datastore_statistics_boxplots_simple_small.png +/screenshots/datastore_statistics_cumhistkde_small.png +/screenshots/datastore_statistics_dataonly_small.png +/screenshots/datastore_statistics_hist_small.png +/screenshots/datastore_statistics_kde_small.png diff --git a/doc/CMakeLists.txt b/doc/CMakeLists.txt index 2d4509e5af..feb38eb18d 100644 --- a/doc/CMakeLists.txt +++ b/doc/CMakeLists.txt @@ -201,6 +201,11 @@ if(JKQtPlotter_BUILD_EXAMPLES) logaxes/logaxes,logaxes_nolog,logaxes_nominorgrid/--iteratefunctorsteps #speed datastore/datastore,datastore_sine,datastore_linkedcarray,datastore_map,datastore_calccolumns,datastore_image,datastore_image_sorted,datastore_sineimg/--iteratefunctorsteps + datastore_iterators/datastore_iterators,datastore_iterators_cosine,datastore_iterators_cosine_ysorted,datastore_iterators_cosine_yreplaced,/--iteratefunctorsteps + datastore_groupedstat/datastore_groupedstat,datastore_groupedstat_barchartrawdata,datastore_groupedstat_barchart,datastore_groupedstat_boxplot,datastore_groupedstat_scatterrawdata,datastore_groupedstat_scatter/--iteratefunctorsteps + datastore_regression/datastore_regression,datastore_regression_lin,datastore_regression_linrobust,datastore_regression_linrobust_p,datastore_regression_linweight,datastore_regression_nonlinreg_exp,datastore_regression_nonlinreg_pow,datastore_regression_polynom,datastore_regression_polynom_errros/--iteratefunctorsteps + datastore_statistics/datastore_statistics,datastore_statistics_dataonly,datastore_statistics_boxplots_simple,datastore_statistics_boxplots_outliers,datastore_statistics_hist,datastore_statistics_kde,datastore_statistics_cumhistkde/--iteratefunctorsteps + datastore_statistics_2d/datastore_statistics_2d ) diff --git a/doc/images/jkqtmathtext/jkqtmathtext_unicode.png b/doc/images/jkqtmathtext/jkqtmathtext_unicode.png index d8bf9ec46a8b0775f06c9b58956b67b55b301e29..eec62e4ceb259dfa64ca1719e28871ca8e8a07a6 100644 GIT binary patch literal 3830 zcmai1XEhi4vkjFVUhz8#P2vv_zB~M3qy29 zw2WRx%OKq2-sgUQzaM9xwSKI#_q*0Q@4HuouC^*AIU_j;1fo<|Q_=^42n+$6n~Vfl 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app.addExportStepFunctor([&]() { setVisibleV({4,5}); plot.getPlotter()->setShowKey(false); plot.zoomToFit(); plot.redrawPlot(); plot.resize(600,400*4/6); }); app.addExportStepFunctor([&]() { std::sort(datastore->begin(colLinXY.second), datastore->end(colLinXY.second)); setVisibleV({4,5});plot.getPlotter()->setShowKey(false); plot.zoomToFit(); plot.redrawPlot(); }); - app.addExportStepFunctor([&]() { setVisible(6); plot.zoomToFit(); plot.getPlotter()->setShowKey(false); plot.redrawPlot(); plot.resize(400,400); }); + app.addExportStepFunctor([&]() { setVisible(6); plot.zoomToFit(); plot.getPlotter()->setShowKey(false); plot.redrawPlot(); plot.resize(300,300); }); return app.exec(); } diff --git a/examples/datastore_groupedstat/datastore_groupedstat.cpp b/examples/datastore_groupedstat/datastore_groupedstat.cpp index 457e370a27..21d0c6a524 100644 --- a/examples/datastore_groupedstat/datastore_groupedstat.cpp +++ b/examples/datastore_groupedstat/datastore_groupedstat.cpp @@ -171,6 +171,7 @@ int main(int argc, char* argv[]) size_t colScatterRawY=datastore1->addColumn("scatterplot, rawdata, y"); std::random_device rd; // random number generators: std::mt19937 gen{rd()}; + gen.seed(12345); std::normal_distribution<> d1{0,0.5}; const size_t N=100; const double xmax=3.5; @@ -263,7 +264,13 @@ int main(int argc, char* argv[]) // show plotter and make it a decent size mainWidget.show(); - mainWidget.resize(1200,400); + mainWidget.resize(900,300); + + app.addExportStepPlotFunctor([&]() { gBar->setVisible(false); plotbarchart->redrawPlot(); return plotbarchart;}); + app.addExportStepPlotFunctor([&]() { gBar->setVisible(true); plotbarchart->redrawPlot(); return plotbarchart;}); + app.addExportStepPlotFunctor([&]() { return plotboxplot; }); + app.addExportStepPlotFunctor([&]() { gScatterErr->setVisible(false); plotscattererrors->redrawPlot(); return plotscattererrors;}); + app.addExportStepPlotFunctor([&]() { gScatterErr->setVisible(true); plotscattererrors->redrawPlot(); return plotscattererrors;}); return app.exec(); } diff --git a/examples/datastore_iterators/README.md b/examples/datastore_iterators/README.md index 59641a2f2e..dee68288af 100644 --- a/examples/datastore_iterators/README.md +++ b/examples/datastore_iterators/README.md @@ -48,7 +48,7 @@ In other tutorials we used e.g. `JKQTPDatastore::set()` to set values in data co ``` Here we added two columns with 50 entries. `XCol` contains linearly spaced values between 0 and 2*pi and `YCol` contains 50 uninitialized values. Then we iterate an index `i` over all these items (`datastore->getRows(XCol)` returns the rows in a column, i.e. 50 in the example above) and used `JKQTPDatastore::set()` to store the calculated values in the two columns. The current x-values is read from `XCol` using `JKQTPDatastore::get()`. The resulting plot looks like this: -![simpletest_datastore_iterators_cosine](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/datastore_iterators_cosine.png) +![datastore_iterators_cosine](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/datastore_iterators_cosine.png) The same loop can be written using iterators: ```.cpp @@ -90,14 +90,14 @@ Of course you can now also interface other algorithms, like e.g. [`std::sort()`] With this line of code, the `YCol` is sorted in ascending order and the plot becomes: -![simpletest_datastore_iterators_cosine_ysorted](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/datastore_iterators_cosine_ysorted.png) +![datastore_iterators_cosine_ysorted](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/datastore_iterators_cosine_ysorted.png) Another example would be to replace all value `y<-0.5` with the value `1.0` using [`std::replace_if()`](https://de.cppreference.com/w/cpp/algorithm/replace): ```.cpp std::replace_if(datastore->begin(YCol), datastore->end(YCol), [](double v) { return v<-0.5; }, 1.0); ``` -![simpletest_datastore_iterators_cosine_yreplaced](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/datastore_iterators_cosine_yreplaced.png) +![datastore_iterators_cosine_yreplaced](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/datastore_iterators_cosine_yreplaced.png) Finally also the [erase-remove idiom](https://en.wikipedia.org/wiki/Erase%E2%80%93remove_idiom) (e.g. known from `std::vector`) is supported: ```.cpp @@ -111,4 +111,4 @@ Note that the iterator classes of `JKQTPDatastore` (namely `JKQTPColumnIterator` - `JKQTPColumnIterator::getPosition()` returns the row/position inside the column the iterator points to - `JKQTPColumnIterator::getImagePosition()` / `JKQTPColumnIterator::getImagePositionX()` / `JKQTPColumnIterator::getImagePositionY()` return the x-/y-location of the pointed-to pixel in an image column - `JKQTPColumnIterator::getImageColumns()` / `JKQTPColumnIterator::getImageRows()` return the width/height of the image represented by the image column (the pointed-to pixel is part of) - \ No newline at end of file + diff --git a/examples/datastore_iterators/datastore_iterators.cpp b/examples/datastore_iterators/datastore_iterators.cpp index bd1fc8db43..135e1c463c 100644 --- a/examples/datastore_iterators/datastore_iterators.cpp +++ b/examples/datastore_iterators/datastore_iterators.cpp @@ -52,7 +52,9 @@ int main(int argc, char* argv[]) // 2.3 combining with addLinearColumn() you can also use C++ STL algorithms: //size_t XCol=datastore->addLinearColumn(50, 0, 4.0*JKQTPSTATISTICS_PI, "cos curve: x-data"); //size_t YCol=datastore->addColumn("cos curve: y-data"); + size_t YCol2=datastore->addColumn("cos curve: y-data"); //std::transform(datastore->begin(XCol), datastore->end(XCol), datastore->backInserter(YCol), cos); + std::transform(datastore->begin(XCol), datastore->end(XCol), datastore->backInserter(YCol2), cos); // 2.4. Just for fun we can now sort the data: //std::sort(datastore->begin(YCol), datastore->end(YCol)); // or replace any value <-0.5 with 1: @@ -74,5 +76,10 @@ int main(int argc, char* argv[]) plot.show(); plot.resize(600,400); + + app.addExportStepFunctor([&]() { std::sort(datastore->begin(YCol), datastore->end(YCol)); }); + app.addExportStepFunctor([&]() { + std::replace_if(datastore->begin(YCol2), datastore->end(YCol2), [](double v) { return v<-0.5; }, 1.0); linegraph->setYColumn(YCol2); plot.zoomToFit(); }); + return app.exec(); } diff --git a/examples/datastore_regression/README.md b/examples/datastore_regression/README.md index 48661ed7a1..dd496194e6 100644 --- a/examples/datastore_regression/README.md +++ b/examples/datastore_regression/README.md @@ -282,7 +282,8 @@ The regression models can be plotted using a `JKQTPXFunctionLineGraph`. the fucn The resulting plot looks like this: -![datastore_regression_nonlinreg](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/datastore_regression_nonlinreg.png) +![datastore_regression_nonlinreg_exp](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/datastore_regression_nonlinreg_exp.png) +![datastore_regression_nonlinreg_pow](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/datastore_regression_nonlinreg_pow.png) Of course also "adaptors" exist that allow to perform the steps above in a single function call: diff --git a/examples/datastore_regression/datastore_regression.cpp b/examples/datastore_regression/datastore_regression.cpp index 14b52cc01b..925bd74625 100644 --- a/examples/datastore_regression/datastore_regression.cpp +++ b/examples/datastore_regression/datastore_regression.cpp @@ -54,6 +54,7 @@ int main(int argc, char* argv[]) // columns and added gaussian noise std::random_device rd; // random number generators: std::mt19937 gen{rd()}; + gen.seed(12345); std::normal_distribution<> d1{0,1}; double a0=-5; double b0=2; @@ -96,8 +97,8 @@ int main(int argc, char* argv[]) size_t colWLinE=datastore1->addColumn("wlin data, errors"); for (double x=-5; x<=10; x++) { double factor=1; - if (ddecide(gen)==4) { - factor=4; + if (ddecide(gen)>=3) { + factor=6; } const double err=de(gen)*factor; datastore1->appendToColumn(colWLinX, x); @@ -192,12 +193,15 @@ int main(int argc, char* argv[]) p=1.5; g=jkqtpstatAddRobustIRLSLinearRegression(graphD, nullptr, nullptr, false, false, p); g->setTitle(g->getTitle()+", $p="+jkqtp_floattolatexqstr(p)+"$"); + auto gp1=g; p=1.7; g=jkqtpstatAddRobustIRLSLinearRegression(graphD, nullptr, nullptr, false, false, p); g->setTitle(g->getTitle()+", $p="+jkqtp_floattolatexqstr(p)+"$"); + auto gp2=g; p=2; g=jkqtpstatAddRobustIRLSLinearRegression(graphD, nullptr, nullptr, false, false, p); g->setTitle(g->getTitle()+", $p="+jkqtp_floattolatexqstr(p)+"$"); + auto gp3=g; @@ -276,16 +280,20 @@ int main(int argc, char* argv[]) std::vector pPoly {1,2,-2,0.5}; size_t colPolyX=datastore1->addColumn("polynomial data, x"); size_t colPolyY=datastore1->addColumn("polynomial data, y"); + size_t colPolyYNN=datastore1->addColumn("polynomial data, y, no noise"); for (double x=-10; x<=10; x++) { datastore1->appendToColumn(colPolyX, x); datastore1->appendToColumn(colPolyY, jkqtp_polyEval(x, pPoly.begin(), pPoly.end())+d1(gen)*50.0); + datastore1->appendToColumn(colPolyYNN, jkqtp_polyEval(x, pPoly.begin(), pPoly.end())); } // we visualize this data with a simple scatter graph: + QVector plotPNoise, plotsPNN; JKQTPXYLineGraph* graphP; plot6->addGraph(graphP=new JKQTPXYLineGraph(plot6)); graphP->setXYColumns(colPolyX, colPolyY); graphP->setDrawLine(false); graphP->setTitle(QString("data $%1+\\mathcal{N}(0,50)$").arg(jkqtp_polynomialModel2Latex(pPoly.begin(), pPoly.end()))); + plotPNoise< pFit; @@ -294,6 +302,25 @@ int main(int argc, char* argv[]) plot6->addGraph(gPoly=new JKQTPXFunctionLineGraph(plot6)); gPoly->setPlotFunctionFunctor(jkqtp_generatePolynomialModel(pFit.begin(), pFit.end())); gPoly->setTitle(QString("regression: $%1$").arg(jkqtp_polynomialModel2Latex(pFit.begin(), pFit.end()))); + plotPNoise<addGraph(graphPNN=new JKQTPXYLineGraph(plot6)); + graphPNN->setXYColumns(colPolyX, colPolyYNN); + graphPNN->setDrawLine(false); + graphPNN->setTitle(QString("data $%1$").arg(jkqtp_polynomialModel2Latex(pPoly.begin(), pPoly.end()))); + graphPNN->setVisible(false); + plotsPNN< pFit; + JKQTPXFunctionLineGraph* gPoly; + jkqtpstatPolyFit(datastore1->begin(colPolyX), datastore1->end(colPolyX), datastore1->begin(colPolyYNN), datastore1->end(colPolyYNN), p, std::back_inserter(pFit)); + plot6->addGraph(gPoly=new JKQTPXFunctionLineGraph(plot6)); + gPoly->setPlotFunctionFunctor(jkqtp_generatePolynomialModel(pFit.begin(), pFit.end())); + gPoly->setTitle(QString("regression: $%1$").arg(jkqtp_polynomialModel2Latex(pFit.begin(), pFit.end()))); + gPoly->setVisible(false); + plotsPNN<setVisible(false); gp2->setVisible(false); gp3->setVisible(false); plot3->redrawPlot(); return plot3; }); + app.addExportStepPlotFunctor([&]() { gp1->setVisible(true); gp2->setVisible(true); gp3->setVisible(true); plot3->redrawPlot(); return plot3; }); + app.addExportStepPlot(plot2); + app.addExportStepPlot(plot4); + app.addExportStepPlot(plot5); + app.addExportStepPlotFunctor([&]() { std::for_each(plotPNoise.begin(), plotPNoise.end(), [](JKQTPGraph* g) {g->setVisible(false);}); std::for_each(plotsPNN.begin(), plotsPNN.end(), [](JKQTPGraph* g) {g->setVisible(true);}); plot6->setX(-12.5,12.5); plot6->redrawPlot(); return plot6; }); + app.addExportStepPlotFunctor([&]() { std::for_each(plotPNoise.begin(), plotPNoise.end(), [](JKQTPGraph* g) {g->setVisible(true);}); std::for_each(plotsPNN.begin(), plotsPNN.end(), [](JKQTPGraph* g) {g->setVisible(false);}); plot6->setX(-12.5,12.5); plot6->redrawPlot(); return plot6; }); + return app.exec(); } diff --git a/examples/datastore_statistics/datastore_statistics.cpp b/examples/datastore_statistics/datastore_statistics.cpp index 4c1cd4f91c..3da2a53c9a 100644 --- a/examples/datastore_statistics/datastore_statistics.cpp +++ b/examples/datastore_statistics/datastore_statistics.cpp @@ -54,6 +54,7 @@ int main(int argc, char* argv[]) size_t randomdatacol3=datastore1->addColumn("random data 3"); std::random_device rd; // random number generators: std::mt19937 gen{rd()}; + gen.seed(12345); std::uniform_int_distribution<> ddecide(0,1); std::normal_distribution<> d1{0,1}; std::normal_distribution<> d2{6,1.2}; @@ -146,26 +147,29 @@ int main(int argc, char* argv[]) // 4.1. We repeat the JKQTPPeakStreamGraph visualization from above: - plot1->addGraph(gData1=new JKQTPPeakStreamGraph(plot1)); - gData1->setDataColumn(randomdatacol1); - gData1->setBaseline(-0.1); - gData1->setPeakHeight(-0.05); - gData1->setDrawBaseline(false); - gData1->setTitle("random data $"+d1_latex+"+"+d2_latex+"$"); + JKQTPPeakStreamGraph* pgData1; + plot1->addGraph(pgData1=new JKQTPPeakStreamGraph(plot1)); + pgData1->setDataColumn(randomdatacol1); + pgData1->setBaseline(-0.1); + pgData1->setPeakHeight(-0.05); + pgData1->setDrawBaseline(false); + pgData1->setTitle("random data $"+d1_latex+"+"+d2_latex+"$"); // 4.2. same as 3.1-3.2, but for the second and thirdcolumn of data: - plot1->addGraph(gData2=new JKQTPPeakStreamGraph(plot1)); - gData2->setDataColumn(randomdatacol2); - gData2->setBaseline(-0.1); - gData2->setPeakHeight(0.05); - gData2->setDrawBaseline(false); - gData2->setTitle("random data subset $"+d1_latex+"$"); - plot1->addGraph(gData3=new JKQTPPeakStreamGraph(plot1)); - gData3->setDataColumn(randomdatacol3); - gData3->setBaseline(-0.15); - gData3->setPeakHeight(-0.05); - gData3->setDrawBaseline(false); - gData3->setTitle("random data subset $"+d2_latex+"$"); + JKQTPPeakStreamGraph* pgData2; + plot1->addGraph(pgData2=new JKQTPPeakStreamGraph(plot1)); + pgData2->setDataColumn(randomdatacol2); + pgData2->setBaseline(-0.1); + pgData2->setPeakHeight(0.05); + pgData2->setDrawBaseline(false); + pgData2->setTitle("random data subset $"+d1_latex+"$"); + JKQTPPeakStreamGraph* pgData3; + plot1->addGraph(pgData3=new JKQTPPeakStreamGraph(plot1)); + pgData3->setDataColumn(randomdatacol3); + pgData3->setBaseline(-0.15); + pgData3->setPeakHeight(-0.05); + pgData3->setDrawBaseline(false); + pgData3->setTitle("random data subset $"+d2_latex+"$"); // 4.3. for comparison we add plots of the initial distributions: plot1->addGraph(new JKQTPXFunctionLineGraph(std::bind(&jkqtp_gaussdist, std::placeholders::_1, d1.mean(), d1.stddev()), d1_latex, plot1)); @@ -289,5 +293,12 @@ int main(int argc, char* argv[]) mainWidget.show(); mainWidget.resize(1200,800); + app.addExportStepPlotFunctor([&]() { gData1->setVisible(true); gBox1.first->setVisible(false); gBox1.second->setVisible(false); gData2->setVisible(true); gBox2->setVisible(false); gData3->setVisible(true); gBox3->setVisible(false); plot1box->redrawPlot(); return plot1box; }); + app.addExportStepPlotFunctor([&]() { gData1->setVisible(false); gBox1.first->setVisible(false); gBox1.second->setVisible(false); gData2->setVisible(true); gBox2->setVisible(true); gData3->setVisible(true); gBox3->setVisible(true); plot1box->redrawPlot(); return plot1box; }); + app.addExportStepPlotFunctor([&]() { gData1->setVisible(true); gBox1.first->setVisible(true); gBox1.second->setVisible(true); gData2->setVisible(false); gBox2->setVisible(false); gData3->setVisible(false); gBox3->setVisible(false); plot1box->redrawPlot(); return plot1box; }); + app.addExportStepPlotFunctor([&]() { return plot1; }); + app.addExportStepPlotFunctor([&]() { return plot1kde; }); + app.addExportStepPlotFunctor([&]() { return plot1cum; }); + return app.exec(); } diff --git a/examples/datastore_statistics_2d/datastore_statistics_2d.cpp b/examples/datastore_statistics_2d/datastore_statistics_2d.cpp index 4b4d014d14..05b392d7cb 100644 --- a/examples/datastore_statistics_2d/datastore_statistics_2d.cpp +++ b/examples/datastore_statistics_2d/datastore_statistics_2d.cpp @@ -102,6 +102,7 @@ int main(int argc, char* argv[]) // random number generators: std::random_device rd; std::mt19937 gen{rd()}; + gen.seed(12345); std::uniform_int_distribution<> ddecide(0,2); std::normal_distribution<> d1x{5,3}; std::normal_distribution<> d1y{5,1}; diff --git a/lib/jkqtplotter/graphs/jkqtppeakstream.cpp b/lib/jkqtplotter/graphs/jkqtppeakstream.cpp index e0b04a292b..3c14f52864 100644 --- a/lib/jkqtplotter/graphs/jkqtppeakstream.cpp +++ b/lib/jkqtplotter/graphs/jkqtppeakstream.cpp @@ -40,6 +40,7 @@ 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