So, you have an amazing C++ application for which you need plotting capabilities. You have searched around and discovered that the available options for C++ plotting libraries is rather limited compared to other programming languages, such as Python, for example, which has matplotlib.
The goal of the sciplot project is to enable you, C++ programmer, to conveniently plot beautiful graphs as easy as in other high-level programming languages. sciplot is a header-only library that needs a C++17-capable compiler, but has no external dependencies for compiling. The only external runtime dependencies are gnuplot-palettes for providing color palettes and a gnuplot executable.
Here is an example of sciplot in action:
#include <sciplot/sciplot.hpp>
using namespace sciplot;
int main(int argc, char** argv)
{
// Create values for your x-axis
Vec x = linspace(0.0, 5.0, 100);
// Create a Plot object
Plot2D plot1;
// Set color palette for first Plot
plot1.palette("paired");
// Draw a sine graph putting x on the x-axis and sin(x) on the y-axis
plot1.drawCurve(x, std::sin(x)).label("sin(x)").lineWidth(4);
// Draw a cosine graph putting x on the x-axis and cos(x) on the y-axis
plot1.drawCurve(x, std::cos(x)).label("cos(x)").lineWidth(2);
// Create a second Plot object
Plot2D plot2;
// Draw a tangent graph putting x on the x-axis and tan(x) on the y-axis
plot2.drawCurve(x, std::tan(x)).label("tan(x)").lineWidth(4);
// Put both plots in a "figure" horizontally next to each other
Figure figure = {{plot1, plot2}};
// Create a canvas / drawing area to hold figure and plots
Canvas canvas = {{figure}};
// Set color palette for all Plots that do not have a palette set (plot2) / the default palette
canvas.defaultPalette("set1");
// Show the canvas in a pop-up window
canvas.show();
// Save the plot to a SVG file
canvas.save("example-readme.svg");
}
After compiling and executing this C++ application, the following plot (example-readme.svg) is produced:
Do you want to change the colors?
Simple - just use method Plot::palette to set your preferred color palette. For example, using plot.palette("parula") in the previous code sets the parula color scheme and produces the following plot:
All available color palettes and their names can be found here. Many thanks to Anna Schneider for this incredible work of art!
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