Skip to content

maticalderini/tutorial_matplotlibCustomPlots

Repository files navigation

Creating custom plotting functions with matplotlib

A step by step jupyter notebook tutorial on how to add plotting functionality to your own functions. For more modular and clean code when you need to iterate through plotting functions (and more) in a patter similar to this:

fig, axes = plt.subplots(number_of_subplots)
for ax in axes:
    my_custom_plotting_function(ax=ax, function_kwargs)

sample

About

A tutorial on making custom plotting functions on matplotlib

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published