[kwertzzz]

Can you give an example of its inconsistency?

I would be genuinely interested what are the inconsistency from a Python-perspective.

I am former Matlab/Octave user. To me the julia interface of matplotlib is actually quite nice to use, but unfortunately the installation is a bit brittle.

[akasakahakada]

Somewhere you can use c="k" for colour but sometimes you cannot, you must use color="k".

Some settings only exposed to figure class but not the ax class. And when you are doing stuff towards ax class, you must write

ax.set_ylim(0,3)

instead of

ax.ylim(0,3)

Matplotlib.pyplot is known for its nonsensical api.

[fransje26]

From the top of my head, the one that annoys me regularly is the difference between setting a title/x or range on plot, and on a subplot. So plot.title(), and ax.set_title().

By the way, who came up with the idea that an axis object is a great handle to handle subplot settings..?