JKQtPlotter/test/simpletest_paramscatterplot
2018-12-18 17:13:18 +01:00
..
jkqtplotter_simpletest_paramscatterplot_and_lib.pro added simple example for JKQTPxyParametrizedScatterGraph 2018-12-16 15:00:19 +01:00
jkqtplotter_simpletest_paramscatterplot.cpp restructured files in this lib further (splt into more files, made filenames more logical, ...) 2018-12-18 17:13:18 +01:00
jkqtplotter_simpletest_paramscatterplot.pro added simple example for JKQTPxyParametrizedScatterGraph 2018-12-16 15:00:19 +01:00
README.md added simple example for JKQTPxyParametrizedScatterGraph 2018-12-16 15:00:19 +01:00

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JKQtPlotter

Scatter Graph with Parametrized Symbols/Colors

This project (see ./test/simpletest_paramscatterplot/) demonstrates the capabilities of JKQTPxyParametrizedScatterGraph. This graph class plots symbol&line-graphs, juts like JKQTPxyLineGraph and in addition modifies several properties of each plot point by data from an additional column. These properties can be modified:

  • symbol size
  • symbol type
  • symbol/line color
  • line width

The source code of the main application can be found in jkqtplotter_simpletest_paramscatterplot.cpp. First, several datasets are generated and added to the internal datastore. the resulting datatable looks like this:

jkqtplotter_simpletest_paramscatterplot

Then several plots are added that modify different properties.

The simplest case is to modify the symbol type. Simply set the property symbolColumn with graph1->set_symbolColumn(columnP) to a data column. The values in the data column will be cast to an integer and then will be translated to JKQTPgraphSymbols. If the numbers are larger than the available symbol types in JKQTPgraphSymbols, the graph will cycle through the available symbols (via a modulo-operation with the max. symbol count!).

	JKQTPxyParametrizedScatterGraph* graph1=new JKQTPxyParametrizedScatterGraph(&plot);
    graph1->set_xColumn(columnX);
    graph1->set_yColumn(columnY1);
    graph1->set_symbolColumn(columnP);
    graph1->set_drawLine(true);
    graph1->set_color(QColor("blueviolet"));
    graph1->set_title("1: symbol type");
    plot.addGraph(graph1);

The next two code snippets show how to modify the size of the symbols and the line width of the lines, connecting the symbols (ensure to set graph6->set_drawLine(true), because otherwise no line will be drawn). The principle is the same as above, but here you need to set the properties sizeColumn for the symbol size and linewidthColumn for the line width. All values in the line width or symbol size columns are interpreted as sizes in dtp points (pt)!

    // symbol size
    JKQTPxyParametrizedScatterGraph* graph3=new JKQTPxyParametrizedScatterGraph(&plot);
    graph3->set_xColumn(columnX);
    graph3->set_yColumn(columnY3);
    graph3->set_sizeColumn(columnS);
    graph3->set_symbol(JKQTPfilledCircle);
    graph3->set_drawLine(true);
    graph3->set_title("3: symbol size");
    plot.addGraph(graph3);

	// line width
    JKQTPxyParametrizedScatterGraph* graph6=new JKQTPxyParametrizedScatterGraph(&plot);
    graph6->set_xColumn(columnX);
    graph6->set_yColumn(columnY6);
    graph6->set_linewidthColumn(columnLW);
    graph6->set_drawLine(true);
    graph6->set_symbol(JKQTPnoSymbol);
    graph6->set_title("6: line width");
    plot.addGraph(graph6);

Finally you can set the color of each symbol, based on data in the column colorColumn. Here two possibilities exist: First you can store the RGB(A) value for each datapoint explicitly. For this, you first need to create the data in the column, using the Qt-function qRgb() or [qRgba()}(http://doc.qt.io/qt-5/qcolor.html#qRgba):

    QVector<double> RGB;
    const int Ndata=10; // number of plot points in each curve
    for (int i=0; i<Ndata; i++) {
        const double x=double(i)/double(Ndata)*2.0*M_PI;
        RGB<<double(qRgb(double(i)/double(Ndata)*255,0,255-double(i)/double(Ndata)*255));
    }
    size_t columnRGB=ds->addCopiedColumn(RGB, "rgb");
```c++
Basically the data points in a RGB(A)-column will be interpreted by castig them to [`QRgb`](http://doc.qt.io/qt-5/qcolor.html#QRgb-typedef).

Now you can add the graph. In order to interpret the color column as RGB(A)-values, ensure to set `graph4->set_colorColumnContainsRGB(true)`:
```c++
    JKQTPxyParametrizedScatterGraph* graph4=new JKQTPxyParametrizedScatterGraph(&plot);
    graph4->set_xColumn(columnX);
    graph4->set_yColumn(columnY4);
    graph4->set_colorColumn(columnRGB);
    graph4->set_colorColumnContainsRGB(true);
    graph4->set_drawLine(true);
    graph4->set_symbol(JKQTPfilledDownTriangle);
    graph4->set_title("4: RGB-color");
    plot.addGraph(graph4);

The second variant for setting the color of each datapoint is by mapping the values in the column to a color palette (JKQTPMathImageRYGB in this example). For this you simply need to define the color coumn and the palette to use. By default, the color palette spans the full range of values in colorColumn:

    JKQTPxyParametrizedScatterGraph* graph2=new JKQTPxyParametrizedScatterGraph(&plot);
    graph2->set_xColumn(columnX);
    graph2->set_yColumn(columnY2);
    graph2->set_colorColumn(columnC);
    graph2->set_palette(JKQTPMathImageRYGB);
    graph2->set_symbol(JKQTPfilledRect);
    graph2->set_drawLine(true);
    graph2->set_title("2: color");
    graph2->get_colorBarRightAxis()->set_axisLabel("color scale for graph2");
    plot.addGraph(graph2);

Note: If you want to set the range manually, use ste_imageMin() and set_imageMax() after setting set_autoImageRange(false).

Note also that it is possible to combine any of parametrizations above in a single graph, by setting two or more columns:

    JKQTPxyParametrizedScatterGraph* graph5=new JKQTPxyParametrizedScatterGraph(&plot);
    graph5->set_xColumn(columnX);
    graph5->set_yColumn(columnY5);
    graph5->set_colorColumn(columnC);
    graph5->set_sizeColumn(columnS);
    graph5->set_palette(JKQTPMathImageBLUEYELLOW);
    graph5->set_drawLine(true);
    graph5->set_title("5: color+size");
    graph5->get_colorBarRightAxis()->set_axisLabel("color scale for graph5");
    plot.addGraph(graph5);

The full test appication combines all these variants and the result looks like this:

jkqtplotter_simpletest_paramscatterplot

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