PR Summary

Closes #11386; see also #11404 which fixes the errors for tight_layout and constrained_layout.

import matplotlib.pyplot as plt

fig, ax = plt. subplots()
ax.plot([0.1, 0.2, 0.6, 0.9])
ax.set_yscale('logit')
ax.set_ylabel('Boo')

plt.show()

gives a warning, and does not show the ylabel. Issue is that the yaxis spine path is

Path(array([[  0.,  13.],
       [  0.,  13.]]), None)

and _update_label_position needs a valid path to get started, whereas the logit scale injects Infs.

This PR changes the default PATH to something that would theoretically fit on the figures (and hence all values are less than 1).

PR Checklist

• Has Pytest style unit tests
• Code is PEP 8 compliant
• New features are documented, with examples if plot related
• Documentation is sphinx and numpydoc compliant
• Added an entry to doc/users/next_whats_new/ if major new feature (follow instructions in README.rst there)
• Documented in doc/api/api_changes.rst if API changed in a backward-incompatible way