Figure background is transparent when saving png from notebook backend. #8654
Comments
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wasn't it a part of the 2.0 work to make the background transparent?
…On Mon, May 22, 2017 at 9:34 PM, Eric Firing ***@***.***> wrote:
Bug report
In Jupyter notebook with %matplotlib notebook:
*Code for reproduction*
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot([1,2])
fig.savefig('test.png')
I used a screenshot below instead of the file 'test.png' because the odd
background only shows up in preview, which evidently uses a light gray
background instead of the usual white.
*Actual outcome*
[image: screenshot_gray_background]
<https://cloud.githubusercontent.com/assets/85125/26334867/aeff9662-3f03-11e7-9030-b543c700522a.png>
*Expected outcome*
I expect the white figure background that results in the above example
when saving a pdf, or when using a different backend.
*Matplotlib version*
- Operating System: OS X 10.12.4
- Matplotlib Version: 2.0.2+7.ge6295a4a7
- Python Version: 3.5.2
- Jupyter Version (if applicable): 4.2.1
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Nah, this is controlled by the nbagg.transparent rcparam which has defaulted to true, well, probably ever since nbagg existed (https://github.com/matplotlib/matplotlib/pull/3560/files). TBH I don't see why this was even introduced (well, perhaps @pelson can comment on that :-)), although this may be related to defaulting to a white background in 2.0. Unless there's a compelling reason to keep it I would suggest deprecating this (figure.facecolor should be more than enough, especially now that you can set it using a RRGGBBAA string). |
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This was hard to debug... There is already a |
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Feel free to put up a PR deprecating the rcparam (I would support doing so). |
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Bug report
In Jupyter notebook with
%matplotlib notebook:Code for reproduction
I used a screenshot below instead of the file 'test.png' because the odd background only shows up in preview, which evidently uses a light gray background instead of the usual white.
Actual outcome
Expected outcome
I expect the white figure background that results in the above example when saving a pdf, or when using a different backend.
Matplotlib version
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