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[Bug]: calling fig.tight_layout multiple times #26290
Description
Bug summary
Calling fig.tight_layout() multiple times warns.
Code for reproduction
import matplotlib.pyplot as plt
fig = plt.figure()
fig.tight_layout()
fig.tight_layout()Actual outcome
<ipython-input-9-0981ef8afcc1>:5: UserWarning: The figure layout has changed to tight
fig.tight_layout()
Expected outcome
no-warning.
Additional information
does not show up in 3.7.1, does show up in 3.7.2. Have not bisected this yet (or checked main).
From looking at the code I suspect
6a82f38 / #25626 / #25624 which is from me 😞 .
xref #25624
I suspect the fix is to not warn if we set the place holder due to fig.tight_layout.
Operating system
Arch
Matplotlib Version
3.7.2
Matplotlib Backend
any
Python version
3.11
Jupyter version
No response
Installation
pip
Reacted by mhostetter, Michael Waskom and Avijit Dey
Activity
tacaswell commentedon Jul 12, 2023
likely related to posit-dev/py-shiny#611
FIX: do not warn when calling tight_layout multiple times
FIX: do not warn when calling tight_layout multiple times
lcrmorin commentedon Aug 20, 2023
Any way to avoid the message in the code - without having to disable warnings - ? (defining the layout explicitly ?)
jklymak commentedon Aug 20, 2023
If you are just using Matplotlib, don't call tight layout multiple times, or better use
plt.figure(..., layout='constrained'). However, if you are using a downstream library that calls tight layout for you then you are somewhat stuckRefactor: resolve user warnings
crchinn commentedon Oct 20, 2023
There is a major problem with tight_layout. If you call it on a figure, then close that figure and open a new figure, frequently the following figures get messed up. Setting tight_layout to False does not fix this.
jklymak commentedon Oct 21, 2023
@crchinn please open a new issue if you have problems with tight_layout wth reproducible self contained examples.