autoware_pyplot#

This package provides C++ interface for the notable matplotlib using pybind11 backend for

creating scientific plots and images illustrating the function inputs/outputs
debugging the output and internal data of a function before unit testing in a more lightweight manner than planning_simulator

usage#

In your main function, setup the python context and import matplotlib

```cpp

include #

// in main... py::scoped_interpreter guard{}; auto plt = autoware::pyplot::import(); ```

Then you can use major functionalities of matplotlib almost in the same way as native python code.

```cpp { plt.plot(Args(std::vector({1, 3, 2, 4})), Kwargs("color"_a = "blue", "linewidth"_a = 1.0)); plt.xlabel(Args("x-title")); plt.ylabel(Args("y-title")); plt.title(Args("title")); plt.xlim(Args(0, 5)); plt.ylim(Args(0, 5)); plt.grid(Args(true)); plt.savefig(Args("test_single_plot.png")); }

{ auto [fig, axes] = plt.subplots(1, 2); auto & ax1 = axes[0]; auto & ax2 = axes[1];

ax1.set_aspect(Args("equal"));
ax2.set_aspect(Args("equal"));

} ```