Does %matplotlib notebook supposed to work? #76

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1. mickaellalande

   changed the title [-]Does %matplotlib notebook supposed to works?[/-] [+]Does %matplotlib notebook supposed to work?[/+] on Dec 2, 2019
2. lukelbd

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3. lukelbd commented on Dec 2, 2019

   

   lukelbd

   on Dec 2, 2019

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   This is a known issue (#62) -- the ProPlot tight layout algorithm sets the figure size automatically, so when you manually resize with interactive backends it gets instantly "snapped back" into place by the algorithm. In an upcoming patch (v0.1.4) I will have fig.set_size_inches() override the algorithm so that you can use interactive backends.
4. lukelbd commented on Dec 2, 2019

   

   lukelbd

   on Dec 2, 2019

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   For justification of why ProPlot sets the figure size automatically, see this page.
5. lukelbd commented on Dec 2, 2019

   

   lukelbd

   on Dec 2, 2019

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   Just tried out

   import proplot as plot
   %matplotlib notebook
   ref = 1
   f, axs = plot.subplots(ref=ref, nrows=3, ncols=3, aspect=1, axwidth=1.1, wratios=(3,2,2), share=0)
   axs[ref-1].format(title='reference axes', titleweight='bold', titleloc='uc', titlecolor='red9')
   axs[4].format(title='title\ntitle\ntitle', suptitle='Tight layout with simple grids')
   axs[1].format(ylabel='ylabel\nylabel\nylabel')
   axs[:4:2].format(xlabel='xlabel\nxlabel\nxlabel')
   axs.format(rowlabels=['Row 1', 'Row 2', 'Row 3'], collabels=['Column 1', 'Column 2', 'Column 3'])

   The notebook backend is a special case I think -- it internally tries to resize the figure, which triggers a redraw, which itself triggers a resize, ad infinitum. Looks terrible. This issue has high priority.
6. lukelbd

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7. lukelbd commented on Dec 3, 2019

   

   lukelbd

   on Dec 3, 2019

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   I fixed this and released a new version on PyPi. Run

   pip install --upgrade proplot

   To use the notebook backend, you can use %matplotlib notebook, but that will bypass some useful things that ipython_matplotlib does to keep the style the same as the inline backend, so I recommend using

   import proplot as plot
   plot.rc.matplotlib = 'notebook'  # option 1
   # plot.ipython_matplotlib('notebook')  # option 2

   or adding the line matplotlib: notebook to the .proplotrc file that should have been automatically created in your home directory.

   Note that the tight layout algorithm and automatic figure rescaling must be automatically disabled for this backend... unfortunately I could not find any obvious workaround. The inline notebook backend is "special". Also note that the performance is not great when you have figure "super titles" or row/column labels on... I think this will be improved when #50 and #46 are done.

   👍React with 👍1Reacted by Mickaël Lalande
8. lukelbd

   closed this as completedon Dec 3, 2019
9. mickaellalande commented on Dec 3, 2019

   

   mickaellalande

   on Dec 3, 2019

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   Thanks for the quick fix! I have just updated ProPlot and it works already, just cutting some side of the color bar in my example (I guess that's what you are mentioning):

   

   import xarray as xr
   import proplot as plot
   plot.rc.matplotlib = 'notebook'
   
   da = xr.open_dataarray('snc_LImon_IPSL-CM6A-LR_historical_r1i1p1f1_gr_185001.nc')
   
   f, axs = plot.subplots(proj='cyl', proj_kw={'lon_0':180}, axwidth=7)
   axs.format(
       geogridlinewidth=0.7, geogridcolor='gray8', geogridalpha=0.5, labels=True,
       coast=True, abc=True, abcstyle='a.'
   )
   m = axs[0].contourf(da, cmap='viridis')
   f.colorbar(m, label='%')

   File: snc_LImon_IPSL-CM6A-LR_historical_r1i1p1f1_gr_185001.zip

   PS: I have just discovered your package yesterday and I am impressed with it so far (more convenient and improving the existing matplolib/cartopy that I am used to)! Thanks for this great work!

   👍React with 👍1Reacted by Luke Davis
10. bradyrx commented on Dec 3, 2019

    

    bradyrx

    on Dec 3, 2019

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    FYI @lukelbd , pip install proplot --upgrade won't work until you bump above v1.0. If users have proplot installed from the original repo, you had the version set to 1.0. So it sees the current pip version as being a lower version and thus won't upgrade automatically. Folks have to uninstall first then reinstall.
11. lukelbd commented on Dec 4, 2019

    

    lukelbd

    on Dec 4, 2019

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    @bradyrx This is now addressed in the README and install page.