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ImageGrid bug when using inline backend #12370

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ezatterin opened this issue Oct 2, 2018 · 5 comments
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ImageGrid bug when using inline backend #12370

ezatterin opened this issue Oct 2, 2018 · 5 comments
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status: duplicate

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@ezatterin
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ezatterin commented Oct 2, 2018 •
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Bug report

Bug summary

The ImageGrid class seems to not behave correctly since the upgrade to matplotlib 3.0.0 when the inline backend is used in a Jupyter notebook: the resulting subplots fail to arrange in a grid and are placed on top of eachother. The correct behaviour is reproduced if using the notebook or ipympl backends. Thanks!

Code for reproduction

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
import numpy as np

im = np.arange(100)
im.shape = 10, 10

fig = plt.figure(1, (4., 4.))
grid = ImageGrid(fig, 111,  
                 nrows_ncols=(2, 2),  
                 axes_pad=0.1,  
                 )

for i in range(4):
    grid[i].imshow(im)  
    grid[i].set_title('test {0}{0}'.format(i)) 

plt.show()

Actual outcome
image

Expected outcome

image

Matplotlib version

  • Operating system: Debian 9
  • Matplotlib version: 3.0.0
  • Matplotlib backend: inline
  • Python version: 3.5.3
  • Jupyter version (if applicable): 4.4.0
  • Other libraries:
@jklymak
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jklymak commented Oct 2, 2018

Yeah this seems to be a duplicate of #12355; inline uses bbox_inches='tight', and there was a bad interaction with axes_grid1 subclasses and that saving option. #12363 should fix this as well....

@jklymak
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jklymak commented Oct 2, 2018

Just add fig.savefig('Boo.png', bbox_inches='tight') to the above to make it reproducible w/o a notebook. #12363 indeed fixes this...

@jklymak
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jklymak commented Oct 2, 2018

Thanks for the bug report - closing as a duplicate, but I used your example as a new test...

@jklymak jklymak closed this as completed Oct 2, 2018
@ezatterin
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Just add fig.savefig('Boo.png', bbox_inches='tight') to the above to make it reproducible w/o a notebook. #12363 indeed fixes this...

Understood. Thanks to you!

@ImportanceOfBeingErnest
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@ezatterin While waiting for the new release which hopefully has this fixed you may always decide to not crop the images when using %matplotlib inline via

%config InlineBackend.print_figure_kwargs = {'bbox_inches':None}

in IPython or Jupyter.

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@jklymak @ezatterin @ImportanceOfBeingErnest