issues: 391477755

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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
391477755 MDExOlB1bGxSZXF1ZXN0MjM4OTcyNzU5 2612 Added Coarsen 6815844 closed 0     16 2018-12-16T15:28:31Z 2019-01-06T09:13:56Z 2019-01-06T09:13:46Z MEMBER   0 pydata/xarray/pulls/2612
  • [x] Closes #2525
  • [x] Tests added
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API

Started to implement corsen. The API is currently something like python actual = ds.coarsen(time=2, x=3, side='right', coordinate_func={'time': np.max}).max()

Currently, it is not working for a datetime coordinate, since mean does not work for this dtype. e.g. python da = xr.DataArray(np.linspace(0, 365, num=365), dims='time', coords={'time': pd.date_range('15/12/1999', periods=365)}) da['time'].mean() # -> TypeError: ufunc add cannot use operands with types dtype('<M8[ns]') and dtype('<M8[ns]')

I am not familiar with datetime things. Any advice will be appreciated.

 
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