Closed as not planned
Description
Bug report
Bug summary
This is related to #15946, but for images. When setting a custom clip path, the image is cropped slightly incorrectly.
Code for reproduction
(Note, in lieu of subclassing Axes and Subplot, I've just overwritten the Axes.patch using the properties that it should have).
import matplotlib.pyplot as plt
from matplotlib.path import Path
import matplotlib.patches as mpatches
data = [[1, 1], [0, 1]]
fig, ax = plt.subplots(1, 3, figsize=(6, 2), sharex=True, sharey=True)
ax[0].set_xlim(0, 2)
ax[0].set_ylim(0, 2)
ax[0].set_title('Default patch')
ax[2].patch = mpatches.PathPatch(
Path([[0, 0], [1, 0], [1, 1], [0, 1], [0, 1]]),
facecolor=plt.rcParams['axes.facecolor'],
edgecolor='None',
linewidth=0,
snap=False,
transform=ax[2].transAxes)
ax[2].patch.set_figure(fig)
ax[2].set_title('Custom patch')
img = []
for a in ax:
img.append(a.imshow(data, extent=(0, 2, 0, 2), vmin=-10))
img[1].set_clip_box(None)
img[1].set_clip_path(
Path([[0, 0], [1, 0], [1, 1], [0, 1], [0, 1]]),
ax[1].transAxes)
ax[1].set_title('Custom clip path')
plt.show()Actual outcome
If you check the antialiasing along the top spine, the first Axes is grey (f1f1f1), but the second and third are slightly yellow (f0e7a0). Note, this seems to be figure size and/or DPI dependent.
Expected outcome
All images should be cropped in the same way, and there should not be a difference in edges along the top of the Axes.
Matplotlib version
- Operating system: Fedora 30
- Matplotlib version: 9d00ca8
- Matplotlib backend (
print(matplotlib.get_backend())): TkAgg (probably just Agg though) - Python version: 3.6.3