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Description
Bug report
Bug summary
When saving an interpolated rbga image to SVG format, the output depends whether the keyword interpolation as been omitted or it has been put to none (interpolation="none"). This should not be the case. It should produce an UN-interpolated image in both case. We do not see this behavior with the other formats, PNG for instance.
Code for reproduction
import matplotlib.pyplot as plt
import numpy as np
fig, (axl, axr) = plt.subplots(1, 2)
# full green image
img = np.zeros((5, 5, 4))
img[...,1] = np.ones((5, 5))
# transparent above main diagonal
img[...,3] = np.tril(np.ones((5, 5), dtype=np.uint8))
axl.set_title('with keyword\ninterpolation="none"')
axr.set_title('WITHOUT keyword\ninterpolation')
axl.imshow(img, interpolation="none")
axr.imshow(img)
plt.savefig('interp_alpha_svg.svg')
plt.savefig('interp_alpha_png.png')Actual outcome
Github does not support SVG so here is my description. The left image, with interpolation="none", looks interpolated (smoothed edges), but the right image, WITHOUT the interpolation keyword, has sharp edges.
Expected outcome
This is the output you get when format is PNG.
Matplotlib version
- Operating system: Ubuntu 16.04 Bash on Windows10
- Matplotlib version: 3.0.0rc1.post186+g5e01393
- Matplotlib backend (
print(matplotlib.get_backend())): agg - Python version: 3.5.2
- Jupyter version (if applicable):
- Other libraries:
matplotlib installed from source
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