issues: 309481761

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
309481761 MDU6SXNzdWUzMDk0ODE3NjE= 2024 multiple facetgrid.map calls screw up colorbar 2448579 closed 0     2 2018-03-28T18:34:02Z 2018-09-26T00:55:33Z 2018-09-26T00:55:33Z MEMBER      

Code Sample, a copy-pastable example if possible

This code ```python da = xr.DataArray(np.random.randn(10, 20, 8))

hdl = da.plot(col_wrap = 4, row='dim_2') ```

yields this image:

Then, running this: ``` def mark_point(color='k'): plt.plot(10, 4, 'ko')

hdl.map(mark_point) ```

gives

Problem description

Calling facetgrid.map calls facetgrid._finalize_grid which calls tight_layout which screws up the colorbar (eventually).

Quoting https://matplotlib.org/users/tight_layout_guide.html#colorbar

If you create a colorbar with the colorbar() command, the created colorbar is an instance of Axes, not Subplot, so tight_layout does not work. With Matplotlib v1.1, you may create a colorbar as a subplot using the gridspec.

So the solution could involve writing a custom colorbar function.

Output of xr.show_versions()

commit: None python: 3.6.4.final.0 python-bits: 64 OS: Linux OS-release: 4.13.0-36-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 xarray: 0.10.0+dev86.g9abf5ad pandas: 0.22.0 numpy: 1.14.2 scipy: 1.0.0 netCDF4: 1.3.1 h5netcdf: 0.5.0 h5py: 2.7.1 Nio: None zarr: 2.2.0 bottleneck: 1.2.1 cyordereddict: None dask: 0.17.2 distributed: 1.21.4 matplotlib: 2.2.2 cartopy: 0.16.0 seaborn: 0.8.1 setuptools: 39.0.1 pip: 9.0.1 conda: 4.3.34 pytest: 3.4.2 IPython: 6.2.1 sphinx: 1.7.1 
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   completed 13221727 issue

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