Bug summary

pyplot.Figure.add_axes does not seem to respect the transform argument.

Edit: This might already exist for a while: #8986

Code for reproduction

from matplotlib import pyplot as plt

fig, axs = plt.subplots( nrows=2, sharex=True )

# left, bottom, width, height
fig.add_axes([.5, .5, .1, .1], transform=axs[1].transAxes)

fig.tight_layout()

Actual outcome

Expected outcome

I found this workaround in the above-mentioned issue.

import matplotlib
box = matplotlib.transforms.Bbox.from_bounds(.5, .5, .1, .1)
fig.add_axes(fig.transFigure.inverted().transform_bbox( axs[1].transAxes.transform_bbox(box)))

Additional information

No response

Operating system

Arch

Matplotlib Version

3.6.1

Matplotlib Backend

module://matplotlib_inline.backend_inline

Python version

Python 3.10.7

Jupyter version

Jupyter Lab v. 3.4.5

Installation

pip