reaktplot is still in its infancy and its API will change in the coming months!
reaktplot is an easy-to-use C++ and Python plotting library powered by plotly.
Here is an example that shows reaktplot in action:
#include <reaktplot/reaktplot.hpp>
using reaktplot = rkp;
int main()
{
rkp.Array x = rkp.linspace(0.0, PI, 200);
rkp.Figure fig;
fig.title("SINE FUNCTIONS");
fig.xaxisTitle("x");
fig.yaxisTitle("y");
fig.drawLine(x, Array(std::sin(1.0 * x)), "sin(x)");
fig.drawLine(x, Array(std::sin(2.0 * x)), "sin(2x)");
fig.drawLine(x, Array(std::sin(3.0 * x)), "sin(3x)");
fig.drawLine(x, Array(std::sin(4.0 * x)), "sin(4x)");
fig.drawLine(x, Array(std::sin(5.0 * x)), "sin(5x)");
fig.drawLine(x, Array(std::sin(6.0 * x)), "sin(6x)");
fig.show();
fig.save("example-readme.svg");
}After compiling and executing this C++ application, the following plot (example-readme.svg) is produced:
The same example can also be ported to Python as follows:
import reaktplot as rkp
import numpy as npy
x = npy.linspace(0.0, npy.pi, 200)
fig = rkp.Figure()
fig.title("SINE FUNCTIONS")
fig.xaxisTitle("x")
fig.yaxisTitle("y")
fig.drawLine(x, npy.sin(1.0 * x), "sin(x)")
fig.drawLine(x, npy.sin(2.0 * x), "sin(2x)")
fig.drawLine(x, npy.sin(3.0 * x), "sin(3x)")
fig.drawLine(x, npy.sin(4.0 * x), "sin(4x)")
fig.drawLine(x, npy.sin(5.0 * x), "sin(5x)")
fig.drawLine(x, npy.sin(6.0 * x), "sin(6x)")
fig.show()
fig.save("example-readme.svg")MIT License
Copyright (c) 2022-2023 Allan Leal
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