Support geographic projection

[zxdawn]

Describe the issue

This tool works well for normal figures, but not for cartopy plots.

Code

matplotlib

import matplotlib.pyplot as plt
import cartopy.crs as ccrs

fig, axes = plt.subplots(2, 2, sharex=True, sharey=True)
for i in range(len(axs)):
    for j in range(len(axs[i])):
        axes[i, j].scatter(0, 0)

Cartopy

import matplotlib.pyplot as plt
import cartopy.crs as ccrs

proj = ccrs.NorthPolarStereo()
fig, axes = plt.subplots(2, 2, subplot_kw=dict(projection=proj), sharex=True, sharey=True)
for i in range(len(axs)):
    for j in range(len(axs[i])):
        axes[i, j].coastlines()

Versions

 3.8.12 | packaged by conda-forge | (default, Oct 12 2021, 21:59:51) 
[GCC 9.4.0]
ipympl version: 0.8.2
Selected Jupyter core packages...
IPython          : 7.29.0
ipykernel        : 6.4.2
ipywidgets       : 7.6.5
jupyter_client   : 6.1.12
jupyter_core     : 4.9.1
jupyter_server   : 1.11.2
jupyterlab       : 3.2.1
nbclient         : 0.5.4
nbconvert        : 6.2.0
nbformat         : 5.1.3
notebook         : 6.4.5
qtconsole        : 5.1.1
traitlets        : 5.1.1
Known nbextensions:
  config dir: /usr/people/zhang/miniconda3/envs/knmi_arctic/etc/jupyter/nbconfig
    notebook section
      bqplot/extension  enabled 
      - Validating: OK
      ipyevents/extension  enabled 
      - Validating: OK
      ipyspin/extension  enabled 
      - Validating: OK
      ipytree/extension  enabled 
      - Validating: OK
      ipyurl/extension  enabled 
      - Validating: OK
      jupyter-leaflet/extension  enabled 
      - Validating: OK
      jupyter-matplotlib/extension  enabled 
      - Validating: OK
      jupyterlab-plotly/extension  enabled 
      - Validating: OK
      @here/map-widget-for-jupyter/extension  enabled 
      - Validating: OK
      voila/extension  enabled 
      - Validating: OK
      jupyter-js-widgets/extension  enabled 
      - Validating: OK
JupyterLab v3.2.1
/usr/people/zhang/miniconda3/envs/knmi_arctic/share/jupyter/labextensions
        jupyter-matplotlib v0.10.2 enabled OK
        ipyspin v0.1.5 enabled OK
        bqplot v0.5.32 enabled OK (python, bqplot)
        ipyurl v0.1.2 enabled OK (python, ipyurl)
        jupyter-leaflet v0.14.0 enabled OK
        ipytree v0.2.1 enabled OK
        ipyevents v2.0.1 enabled OK
        jupyterlab-plotly v5.3.1 enabled OK
        @here/map-widget-for-jupyter v1.1.3 enabled OK
        @jupyter-widgets/jupyterlab-manager v3.0.1 enabled OK (python, jupyterlab_widgets)
        @voila-dashboards/jupyterlab-preview v2.0.7 enabled OK (python, voila)
        @pyviz/jupyterlab_pyviz v2.1.0 enabled OK (python, pyviz_comms)

Other labextensions (built into JupyterLab)
   app dir: /usr/people/zhang/miniconda3/envs/knmi_arctic/share/jupyter/lab

[ianhi]

Hi @zxdawn I think this is an issue with cartopy. Modifying your example to run from a script with one of the other gui backends I see the same behavior. I'm going to close this, but please re-open if I'm mistaken adn this breaks differently in a notebook than in one of the other backends.

import matplotlib.pyplot as plt
import cartopy.crs as ccrs

proj = ccrs.NorthPolarStereo()
fig, axes = plt.subplots(2, 2, subplot_kw=dict(projection=proj), sharex=True, sharey=True)
for i in range(len(axes)):
    for j in range(len(axes[i])):
        axes[i, j].coastlines()


plt.show()

[ianhi]

Actually sorry - I may have misinterpreted. Can you make it clear what the actual issue is? Is it that not sharing axes on zoom?

If so it may because your variable names are getting mixed up, you have both axs and axes I suggest you restart your kernel and run just the example code.

[zxdawn]

@ianhi Sorry for the mixed axis name. Here's the correct script:

import matplotlib.pyplot as plt
import cartopy.crs as ccrs

proj = ccrs.NorthPolarStereo()
fig, axs = plt.subplots(2, 2, subplot_kw=dict(projection=proj), sharex=True, sharey=True)
for i in range(len(axs)):
    for j in range(len(axs[i])):
        axs[i, j].coastlines()
plt.show()

Yes, I mean not sharing axes on zoom. But, I find this problem also exists in the Qt by running the script in the terminal. So, that's actually cartopy old issue.