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ImageGrid in 3.0 #12505

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Release criticalFor bugs that make the library unusable (segfaults, incorrect plots, etc) and major regressions.status: duplicate
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@Phlya

Description

@Phlya

Bug report

Bug summary

ImageGrid seems to be broken on 3.0.0?

Code for reproduction

f=plt.figure()grid=ImageGrid(f,111,nrows_ncols=(2,2),direction='column',label_mode="L",cbar_location="right",cbar_mode="single",cbar_size="5%",cbar_pad="3%"                 )axarr=np.array(grid).reshape(2,2)foraxinaxarr.flatten():m=ax.imshow(np.random.random(15**2).reshape((15,15))+0.5,norm=LogNorm(vmax=2,vmin=0.5),cmap='coolwarm')plt.colorbar(m,cax=grid.cbar_axes[0],format=FormatStrFormatter('%.2f'))

Actual outcome
image

Expected outcome
From 2.2.2
image

Note: if I remove all colorbar-related code, it again looks weird, but in a different way:

f=plt.figure()grid=ImageGrid(f,111,nrows_ncols=(2,2),direction='column',label_mode="L",                 )axarr=np.array(grid).reshape(2,2)foraxinaxarr.flatten():m=ax.imshow(np.random.random(15**2).reshape((15,15))+0.5,norm=LogNorm(vmax=2,vmin=0.5),cmap='coolwarm')

image

Seems like maybe all axes take up the whole figure, and so cover the rest?.. Just a guess.

Matplotlib version

  • Operating system: Ubuntu 16.04
  • Matplotlib version: 3.0.0
  • Matplotlib backend (print(matplotlib.get_backend())): inline
  • Python version: 3.5.2
  • Jupyter version (if applicable): Jupyter Lab 0.33.6

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