GeezerVison is showing github.com — Scale an image to the axes edges regardless of whether it is being plotted with a nonaffine transform or an affine transform by ayshih · Pull Request #30175 · matplotlib/matplotlib
Conversation
ayshih
commented
Jun 14, 2025
•
edited
Loading
Uh oh!
There was an error while loading. Please reload this page.
PR summary
This PR fixes a difference between plotting an image with a nonaffine transform versus with an affine transform. When plotting with an affine transform, the transform for rendering gets an additional transform step to scale the image to the axes edges in the situation where the axes bbox is not a whole number of pixels. However, when plotting with a nonaffine transform, this additional scaling step is skipped, and instead the fractional pixel at the end is clipped off. I can't think of any reason why this difference is desirable, so this PR removes the different handling of a nonaffine transform versus an affine transform.
Before this PR
Here's an example image before this PR and generating script. Note that the image plotted using the nonaffine transform has a obvious gap to the axis on the right edge due to the fractional pixel. The discrepancy on the top edge is not quite as obvious.

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.transforms import Transform
# Create a nonaffine identity transform
class NonAffineIdentityTransform(Transform):
input_dims = 2
output_dims = 2
def inverted(self):
return self
nonaffine_transform = NonAffineIdentityTransform()
data = np.arange(16).reshape((4, 4)) % 3
fig, axs = plt.subplots(2, figsize=(6, 3), dpi=100)
# Choose axes bboxs with with fractional pixels
axs[0].set_position([0.1, 0.15, 200.75 / fig.bbox.width, 200.75 / fig.bbox.height])
axs[1].set_position([0.6, 0.15, 200.75 / fig.bbox.width, 200.75 / fig.bbox.height])
im0 = axs[0].imshow(data)
im1 = axs[1].imshow(data, transform=nonaffine_transform + axs[1].transData)
axs[0].spines[:].set_ls((0, (5, 5)))
axs[1].spines[:].set_ls((0, (5, 5)))
axs[0].set_title("Affine")
axs[1].set_title("Nonaffine")
plt.show()
After this PR

PR checklist
Sorry, something went wrong.
Uh oh!
There was an error while loading. Please reload this page.
Uh oh!
There was an error while loading. Please reload this page.
Assignees
No one assigned
Milestone
No milestone
Development
Successfully merging this pull request may close these issues.
Uh oh!
There was an error while loading. Please reload this page.
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
|