[Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/) # JKQtPlotter ## Plotting Parsed Mathematical Functions as Line Graphs ### Plot Function f(x) This project (see `./examples/simpletest_parsedfunctionplot/`) demonstrates how to plot mathematical functions as line graphs. The functions are defined as strings that will be evaluated with the equation parser, integrated into JKQtPlotter. Note: See the example [Plotting Mathematical Functions as Line Graphs](https://github.com/jkriege2/JKQtPlotter/tree/master/examples/simpletest_functionplot) if you don't want to draw parsed functions, but want to provide a C function, or C++ functor! Adding an evaluated funtion to a graph is very simple: ```c++ JKQTPxParsedFunctionLineGraph* parsedFunc=new JKQTPxParsedFunctionLineGraph(plot); parsedFunc->set_function("sin(x*8)*exp(-x/4)"); parsedFunc->set_title("user function"); ``` As you can see a graph of the type `JKQTPxParsedFunctionLineGraph` is used, which plots a function that depends on the variable `x`. The given function is parsed and evaluated (see [`lib/jkqtplottertools/jkqtpmathparser.h`](https://github.com/jkriege2/JKQtPlotter/blob/master/lib/jkqtplottertools/jkqtpmathparser.h) for details on the features of the math parser). An intelligent drawing algorithm chooses the number of control points for drawing a smooth graph, with sufficient amount of details, by evaluating locally the slope of the function. In the example in [`test/simpletest_parsedfunctionplot/simpletest_parsedfunctionplot.cpp`](https://github.com/jkriege2/JKQtPlotter/blob/master/examples/simpletest_parsedfunctionplot/simpletest_parsedfunctionplot.cpp) we do not simply set a fixed function, but add a `QLineEdit` which allows to edit the function and redraws it, once ENTER is pressed: ```c++ JKQtPlotter* plot=new JKQtPlotter(&mainWin); QLineEdit* edit=new QLineEdit(&mainWin); edit->setToolTip("enter a function in dependence of the variable x and press ENTER to update the graph"); // ... // 2. now we add a JKQTPxParsedFunctionLineGraph object, which will draw the function from // the line edit JKQTPxParsedFunctionLineGraph* parsedFunc=new JKQTPxParsedFunctionLineGraph(plot); plot->addGraph(parsedFunc); // finally we connect the line edit with the graph, whenever RETURN is pressed, // the graph is updated: auto updateGraphFunctor= [=]() { parsedFunc->set_title("user function: \\verb{"+edit->text()+"}"); parsedFunc->set_function(edit->text()); plot->update_plot(); }; QObject::connect(edit, &QLineEdit::returnPressed, updateGraphFunctor); QObject::connect(edit, &QLineEdit::editingFinished, updateGraphFunctor); edit->setText("sin(x*8)*exp(-x/4)"); updateGraphFunctor(); ``` This code snippet results in a plot like this: ![jkqtplotter_simpletest_parsedfunctionplot](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_parsedfunctionplot.png) ### Plotting with parameters As shown in [Plotting Mathematical Functions as Line Graphs](https://github.com/jkriege2/JKQtPlotter/tree/master/examples/simpletest_functionplot) you can also use externally set parameters in a plot function. These parameters can be double numbers and may be set with either as an internal parameter vector, or may be read from a parameter column (as shown in the [linked example](https://github.com/jkriege2/JKQtPlotter/tree/master/examples/simpletest_functionplot)). These parameters are available as variables `p1`, `p2`, ... in the function string. Here is a small example: ```c++ JKQTPxParsedFunctionLineGraph* parsedFunc=new JKQTPxParsedFunctionLineGraph(plot); parsedFunc->set_function("sin(x*p1)*exp(-x/p2)"); parsedFunc->set_paramV(/*p1=*/8, /*p2=*/4); parsedFunc->set_title("user function"); ``` ### Plot Function f(y) If you use the graph class `JKQTPyParsedFunctionLineGraph` instead of `JKQTPxParsedFunctionLineGraph`, you can plot functions `x=f(y)` (instead of `y=f(x)`). The function from the example above will then ahve to be changed to `sin(y*8)*exp(-y/4)` and the result will look like this: ![jkqtplotter_simpletest_parsedfunctionplot_fy](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_parsedfunctionplot_fy.png) ### Properties of the Adaptive Plotting Algorithm The adaptive capabilities of the rendering algorithm can be seen, when plotting e.g. `2/x`, which is drawn smoothely, even around the undefined value at `x=0`: ![jkqtplotter_simpletest_parsedfunctionplot_2overx.png](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_parsedfunctionplot_2overx.png) With an additional checkbox in this example, you can switch drawing the actual sample points of the drawing algorithm on and off, by calling `parsedFunc->set_displaySamplePoints(...)`. This can be used to debug the drawing algorithm and explore its parameters (which you can set with `set_minSamples()`, `set_maxRefinementDegree()`, `set_slopeTolerance()`, `set_minPixelPerSample()`). Here is an example of a 2/x function with shown sample points: ![jkqtplotter_simpletest_parsedfunctionplot_2overx_samplepoints.png](https://raw.githubusercontent.com/jkriege2/JKQtPlotter/master/screenshots/jkqtplotter_simpletest_parsedfunctionplot_2overx_samplepoints.png) [Back to JKQTPlotter main page](https://github.com/jkriege2/JKQtPlotter/)