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Add quantile method to GroupBy #2828

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Merged
merged 15 commits into from
Jun 24, 2019
Merged

Add quantile method to GroupBy #2828

merged 15 commits into from
Jun 24, 2019

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huard
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@huard huard commented Mar 20, 2019 •
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  • Tests added
  • Fully documented, including whats-new.rst for all changes and api.rst for new API

Fixes #3018

Note that I've added an unrelated test that exposes an issue with grouping when there is only one element per group.

@huard
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huard commented Mar 20, 2019

I just realized that I could do
da.groupby('time.month').apply(xr.DataArray.quantile, q=.5, dim='time')
which seems to yield the same results.

@shoyer
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shoyer commented Mar 20, 2019

I just realized that I could do
da.groupby('time.month').apply(xr.DataArray.quantile, q=.5, dim='time')
which seems to yield the same results.

Yes, I think this would be the preferred way to implement this :)

@huard
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huard commented Mar 21, 2019

Made the change.
I had to drop the quantile dimension for scalar q after the apply to maintain the same behavior as DataArray.quantile, but it got me wondering if keeping the quantile dimension even for scalar q should not be the default.

dcherian
dcherian requested changes Jun 12, 2019
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@pep8speaks
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pep8speaks commented Jun 12, 2019 •
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Hello @huard! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2019-06-24 15:19:40 UTC

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LGTM.

@shoyer shoyer merged commit b054c31 into pydata:master Jun 24, 2019
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shoyer commented Jun 24, 2019

Thanks @huard !

dcherian added a commit to dcherian/xarray that referenced this pull request Jun 24, 2019
@dcherian
Merge branch 'master' into fix/bounds_encode_2
f187ca1 
* master: (31 commits)
  Add quantile method to GroupBy (pydata#2828)
  rolling_exp (nee ewm) (pydata#2650)
  Ensure explicitly indexed arrays are preserved (pydata#3027)
  add back dask-dev tests (pydata#3025)
  ENH: keepdims=True for xarray reductions (pydata#3033)
  Revert cmap fix (pydata#3038)
  Add "errors" keyword argument to drop() and drop_dims() (pydata#2994) (pydata#3028)
  More consistency checks (pydata#2859)
  Check types in travis (pydata#3024)
  Update issue templates (pydata#3019)
  Add pytest markers to avoid warnings (pydata#3023)
  Feature/merge errormsg (pydata#2971)
  More support for missing_value. (pydata#2973)
  Use flake8 rather than pycodestyle (pydata#3010)
  Pandas labels deprecation (pydata#3016)
  Pytest capture uses match, not message (pydata#3011)
  dask-dev tests to allowed failures in travis (pydata#3014)
  Fix 'to_masked_array' computing dask arrays twice (pydata#3006)
  str accessor (pydata#2991)
  fix safe_cast_to_index (pydata#3001)
  ...
@keewis keewis mentioned this pull request Nov 13, 2019
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Add quantile method to groupby object
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@huard @shoyer @pep8speaks @dcherian