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

frommatplotlibimportpyplotaspltfig,axs=plt.subplots(nrows=2,sharex=True )# left, bottom, width, heightfig.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.

importmatplotlibbox=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