Does %matplotlib notebook supposed to work?

I am used to work with %matplotlib notebook in my notebooks to be able to navigate in the plots (zoom, etc.). But I realized that if I put %matplotlib notebook, the ProPlot plots do not show up and I need to come back to %matplotlib inline to make it work again. I am doing something wrong or is this supposed to work for ProPlot too? And if not, is this planned to be working in the future?

[mickaellalande]

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!

[lukelbd]

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.