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split contour plot into two variant, one for C-array-data and one for image column data improved doxygen annotation
132 lines
7.4 KiB
Markdown
132 lines
7.4 KiB
Markdown
# Example (JKQTPlotter): Contour Plots {#JKQTPlotterContourPlot}
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This project (see `./examples/simpletest_contourplot/`) shows how to draw contour plots with JKQTPlotter.
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[TOC]
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# Drawing a Contour Plot
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The source code of the main application is (see [`jkqtplotter_simpletest_contourplot.cpp`](https://github.com/jkriege2/JKQtPlotter/tree/master/examples/simpletest_contourplot/jkqtplotter_simpletest_contourplot.cpp) ).
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First the electric potential from a quadrupole is calculated and stored in an image column inside the JKQTPDatastore:
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```.cpp
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JKQTPDatastore* ds=plot.getDatastore();
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const int NX=500; // image dimension in x-direction [pixels]
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const int NY=500; // image dimension in y-direction [pixels]
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const double w=2.7e-6;
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const double dx=w/static_cast<double>(NX);
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const double h=NY*dx;
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size_t cPotential=ds->addImageColumn(NX, NY, "imagedata");
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double x;
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double y=-h/2.0;
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const double eps0=8.854187e-12;
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const double Q1=1.6e-19; // charge of charged particle 1
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const double Q1_x0=-0.5e-6; // x-position of charged particle 1
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const double Q1_y0=-0.5e-6; // y-position of charged particle 1
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const double Q2=1.6e-19; // charge of charged particle 2
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const double Q2_x0=0.5e-6; // x-position of charged particle 2
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const double Q2_y0=0.5e-6; // y-position of charged particle 2
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const double Q3=-1.6e-19; // charge of charged particle 3
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const double Q3_x0=-0.5e-6; // x-position of charged particle 3
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const double Q3_y0=0.5e-6; // y-position of charged particle 3
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const double Q4=-1.6e-19; // charge of charged particle 4
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const double Q4_x0=0.5e-6; // x-position of charged particle 4
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const double Q4_y0=-0.5e-6; // y-position of charged particle 4
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for (size_t iy=0; iy<NY; iy++ ) {
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x=-w/2.0;
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for (size_t ix=0; ix<NX; ix++ ) {
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const double r1=sqrt((x-Q1_x0)*(x-Q1_x0)+(y-Q1_y0)*(y-Q1_y0));
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const double r2=sqrt((x-Q2_x0)*(x-Q2_x0)+(y-Q2_y0)*(y-Q2_y0));
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const double r3=sqrt((x-Q3_x0)*(x-Q3_x0)+(y-Q3_y0)*(y-Q3_y0));
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const double r4=sqrt((x-Q4_x0)*(x-Q4_x0)+(y-Q4_y0)*(y-Q4_y0));
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ds->setPixel(cPotential, ix, iy, Q1/(4.0*M_PI*eps0)/r1+Q2/(4.0*M_PI*eps0)/r2+Q3/(4.0*M_PI*eps0)/r3+Q4/(4.0*M_PI*eps0)/r4);
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x+=dx;
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}
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y+=dx;
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}
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```
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Then this image column can be drawn with a `JKQTPColumnContourPlot`:
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```.cpp
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JKQTPColumnContourPlot* graph=new JKQTPColumnContourPlot(&plot);
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graph->setTitle("");
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// image column with the data
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graph->setImageColumn(cPotential);
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// where does the image start in the plot, given in plot-axis-coordinates (bottom-left corner)
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graph->setX(-w/2.0);
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graph->setY(-h/2.0);
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// width and height of the image in plot-axis-coordinates
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graph->setWidth(w);
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graph->setHeight(h);
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// color-map is "BlueGreenRed"
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graph->setPalette(JKQTPMathImageBlueGreenRed);
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// get coordinate axis of color-bar and set its label
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graph->getColorBarRightAxis()->setAxisLabel("electric potential [V]");
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// add some levels for the contours. These are chosen to be at the actual potential values
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// at several specified relative distance from Q1, i.e. at phi(Q1_x0*reldist) (phi: potential of Q1)
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QVector<double> reldists; reldists<<0.1<<0.25<<0.5<<1<<1.5<<2<<2.5<<3;
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// finally contour levels with +1 and -1 sign are added to show the positive and negative potential:
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for (auto reldist: reldists) {
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const double level=fabs(Q1/(4.0*M_PI*eps0)/(Q1_x0*reldist));
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graph->addContourLevel(-level);
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graph->addContourLevel(level);
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}
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qDebug()<<graph->getContourLevels();
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graph->setAutoImageRange(false);
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graph->setImageMin(graph->getContourLevels().first());
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graph->setImageMax(graph->getContourLevels().last());
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```
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Note that we created the list of contour levels to draw explicitly here using `JKQTPColumnContourPlot::addContourLevel()`. There are also methods `JKQTPColumnContourPlot::createContourLevels()` and `JKQTPColumnContourPlot::createContourLevelsLog()` to auto-generate these from the data-range with linear or logarithmic spacing, but both options do not yield good results here. The code above generates these contour levels:
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```
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-0.0287602, -0.0115041, -0.00575203, -0.00287602, -0.00191734, -0.00143801, -0.00115041, -0.000958672, 0.000958672, 0.00115041, 0.00143801, 0.00191734, 0.00287602, 0.00575203, 0.0115041, 0.0287602
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```
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The result looks like this:
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# Styling a Contour Plot
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You can change the way that the colors for the contours are chosen by calling `JKQTPColumnContourPlot::setContourColoringMode()` with another mode:
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- `JKQTPColumnContourPlot::SingleColorContours` uses the same color (set by `JKQTPColumnContourPlot::setLineColor()`) for all contours.<br>
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- `JKQTPColumnContourPlot::ColorContoursFromPaletteByValue` is the mode used for the example above, which chooses the color from the current color-palette based on the current image data range and the actual level of the contour line. <br>
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- `JKQTPColumnContourPlot::ColorContoursFromPalette` chooses the color by evenly spacing the contour lines over the full color palette. the line-color will then have no connection to the actual value of the level.<br>
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In all modes you can override the coloring of single levels by calling `JKQTPColumnContourPlot::setOverrideColor(level, color)`. In the example above this looks like this:
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```.cpp
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for (auto reldist: reldists) {
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const double level=fabs(Q1/(4.0*M_PI*eps0)/(Q1_x0*reldist));
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graph->addContourLevel(-level);
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graph->addContourLevel(level);
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// set a special color for some lines:
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if (reldist==1) {
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graph->setOverrideColor(-level, QColor("yellow"));
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graph->setOverrideColor(level, QColor("yellow"));
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}
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}
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```
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This code results (in the default coloring mode `JKQTPColumnContourPlot::ColorContoursFromPaletteByValue`) in:
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# Gimmick: Animating a Contour Plot
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In order to demonstrate the caching implemented in the contour plot, there is optional animation code inside this example, in the form of the class `ContourPlotAnimator` (see (see [`ContourPlotAnimator.cpp`](https://github.com/jkriege2/JKQtPlotter/tree/master/examples/simpletest_contourplot/ContourPlotAnimator.cpp) ).
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The code therein results in an animation like this:
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Note that zooming can still be perfomred without the need to recalculate the contour lines.
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