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2 rows where author_association = "CONTRIBUTOR", issue = 204071440 and user = 13190237 sorted by updated_at descending

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  • ulijh · 2 ✖

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  • Cannot use xarrays own times for indexing · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
346157283 https://github.com/pydata/xarray/issues/1240#issuecomment-346157283 https://api.github.com/repos/pydata/xarray/issues/1240 MDEyOklzc3VlQ29tbWVudDM0NjE1NzI4Mw== ulijh 13190237 2017-11-21T20:52:49Z 2017-11-21T20:52:49Z CONTRIBUTOR

@jhamman - thanks, this should be usefull...

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  Cannot use xarrays own times for indexing 204071440
346037822 https://github.com/pydata/xarray/issues/1240#issuecomment-346037822 https://api.github.com/repos/pydata/xarray/issues/1240 MDEyOklzc3VlQ29tbWVudDM0NjAzNzgyMg== ulijh 13190237 2017-11-21T14:11:36Z 2017-11-21T14:11:36Z CONTRIBUTOR

Hi, this is still the case for version 0.10.0. arr = xr.DataArray(np.random.rand(10, 3), ...: [('time', pd.date_range('2000-01-01', periods=10)), ...: ('space', ['IA', 'IL', 'IN'])]) ...: arr.loc[arr.time[2]:arr.time[5]] fails, but doing the same thing on a pandas dataframe works just fine: dfr = arr.to_dataframe(name='dfr') dfr.loc[arr.time[2]:arr.time[5]] I'd really appreciate see this working on a DataArray.

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  Cannot use xarrays own times for indexing 204071440

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