Description
Bug report
Producing 4 subplots with a rectangular figure (height > width) and setting the subplots to ax.set_aspect('equal') causes fig.tight_layout(pad=0., h_pad=0., w_pad=0.) to introduce a huge vertical gap between the subplots on the first call.
Each subsequent call to tight_layout reduces the gap slowly, until the set arguments pad and h_pad are satisfied.
Code for reproduction
import matplotlib.pyplot as plt
import numpy as np
randarr = np.random.rand(200, 4)
txtbox = 'this is some\ntext with multiple\nlines and absolutely\nno meaning'
fig, ((a1, a2), (a3, a4)) = plt.subplots(2, 2, figsize=(16/2.54, 25/2.54))
a1.scatter(randarr[:, 0] * 3, randarr[:, 1] * 3, label='a\nb')
a2.scatter(randarr[:, 1] * 2, randarr[:, 2] * 2, label='b\nc')
a3.scatter(randarr[:, 2] * 2, randarr[:, 3] * 2, label='c\nd')
a4.scatter(randarr[:, 3] / 3, randarr[:, 0] / 3, label='d\ne')
_ = [_ax.set_aspect('equal') for _ax in (a1, a2, a3, a4)]
fig.tight_layout(pad=0., h_pad=1., w_pad=1.)
To reduce the vertical gap until padding is satisfied:
for _ in range(10):
fig.tight_layout(pad=0., h_pad=1., w_pad=1.)
And it seems that for plots with a high complexity, calls to fig.canvas.draw are required between the calls to tight_layout. But I cannot reproduce this reliably:
for _ in range(10):
fig.tight_layout(pad=0., h_pad=1., w_pad=1.)
fig.canvas.draw()
Actual outcome
The outcome of the code without repeated calls to tight_layout:
Expected outcome
The in my opinion correct output can be produced with:
import matplotlib.pyplot as plt
import numpy as np
randarr = np.random.rand(200, 4)
txtbox = 'this is some\ntext with multiple\nlines and absolutely\nno meaning'
fig, ((a1, a2), (a3, a4)) = plt.subplots(2, 2, figsize=(16/2.54, 25/2.54))
a1.scatter(randarr[:, 0] * 3, randarr[:, 1] * 3, label='a\nb')
a2.scatter(randarr[:, 1] * 2, randarr[:, 2] * 2, label='b\nc')
a3.scatter(randarr[:, 2] * 2, randarr[:, 3] * 2, label='c\nd')
a4.scatter(randarr[:, 3] / 3, randarr[:, 0] / 3, label='d\ne')
_ = [_ax.set_aspect('equal') for _ax in (a1, a2, a3, a4)]
for _ in range(10):
fig.tight_layout(pad=0., h_pad=1., w_pad=1.)
Expected output:
Matplotlib version
- Operating system: Windows 10 64bit
- Matplotlib version: 3.3.1
- Matplotlib backend: Qt5Agg
- Python version: 3.7.7
- Other libraries: Numpy v 1.19.1
All packages are installed from the default conda channel.