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  • xarray · 1 ✖
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
540451721 MDExOlB1bGxSZXF1ZXN0MzU1MjU4NjMy 3646 [WIP] GroupBy plotting dcherian 2448579 open 0     7 2019-12-19T17:26:39Z 2022-06-09T14:50:17Z   MEMBER   1 pydata/xarray/pulls/3646
  • [x] Tests added
  • [x] Passes black . && mypy . && flake8
  • [ ] Fully documented, including whats-new.rst for all changes and api.rst for new API

This adds plotting methods to GroupBy objects so that it's easy to plot each group as a facet. I'm finding this super helpful in my current research project.

It's pretty self-contained, mostly just adding map_groupby* methods to FacetGrid. But that's because I make GroupBy mimic the underlying DataArray by adding coords, attrs and __getitem__.

This still needs more tests but I would like feedback on the feature and the implementation.

Example

``` python import numpy as np import xarray as xr

time = np.arange(80) da = xr.DataArray(5 * np.sin(2np.pitime/10), coords={"time": time}, dims="time") da["period"] = da.time.where((time % 10) == 0).ffill("time")/10 da.plot() ```

python da.groupby("period").plot(col="period", col_wrap=4)

python da = da.expand_dims(y=10) da.groupby("period").plot(col="period", col_wrap=4, sharex=False, sharey=True, robust=True) 

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     xarray 13221727 pull

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