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: ![image](https://user-images.githubusercontent.com/2448579/38048698-ea91b60e-327a-11e8-8e7b-8a7544b8d6c8.png) Then, running this: ``` def mark_point(color='k'): plt.plot(10, 4, 'ko') hdl.map(mark_point) ``` gives ![image](https://user-images.githubusercontent.com/2448579/38048731-0913dd32-327b-11e8-9b9d-be998e9448aa.png) #### 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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