Bug summary
I think "constrained_layout=True" breaks the mosaic scaling. For example subplot D is smaller than subplot E in the "Actual Outcome". When I use plot.tight_layout() and contrained_layout=False the subplots are the same size as in the "Expected Outcome"
Code for reproduction
import matplotlib.pyplot as plt
import matplotlib as mpl
def identify_axes(ax_dict, fontsize=48):
"""
Helper to identify the Axes in the examples below.
Draws the label in a large font in the center of the Axes.
Parameters
----------
ax_dict : dict[str, Axes]
Mapping between the title / label and the Axes.
fontsize : int, optional
How big the label should be.
"""
kw = dict(ha="center", va="center", fontsize=fontsize, color="darkgrey")
for k, ax in ax_dict.items():
ax.text(0.5, 0.5, k, transform=ax.transAxes, **kw)
mosaic = """AAADDD
AAADDD
BBBDDD
BBBEEE
CCCEEE
CCCEEE"""
fig = plt.figure(constrained_layout=True)
ax_dict = fig.subplot_mosaic(mosaic)
identify_axes(ax_dict)Actual outcome
Expected outcome
Additional information
No response
Operating system
OS/X
Matplotlib Version
3.5.1
Matplotlib Backend
module://matplotlib_inline.backend_inline
Python version
3.9.12
Jupyter version
3.3.2
Installation
conda
Bug summary
I think "constrained_layout=True" breaks the mosaic scaling. For example subplot D is smaller than subplot E in the "Actual Outcome". When I use plot.tight_layout() and contrained_layout=False the subplots are the same size as in the "Expected Outcome"
Code for reproduction
Actual outcome
Expected outcome
Additional information
No response
Operating system
OS/X
Matplotlib Version
3.5.1
Matplotlib Backend
module://matplotlib_inline.backend_inline
Python version
3.9.12
Jupyter version
3.3.2
Installation
conda