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5 rows where author_association = "COLLABORATOR", issue = 1396401446 and user = 43316012 sorted by updated_at descending

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user 1

  • headtr1ck · 5 ✖

issue 1

  • DOC: Added examples to docstrings of DataArray methods (#7123) · 5 ✖

author_association 1

  • COLLABORATOR · 5 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1292620755 https://github.com/pydata/xarray/pull/7123#issuecomment-1292620755 https://api.github.com/repos/pydata/xarray/issues/7123 IC_kwDOAMm_X85NC9PT headtr1ck 43316012 2022-10-26T20:32:35Z 2022-10-26T21:57:13Z COLLABORATOR

Since the merge apparently failed, I took the freedom to rebase this from the current master. Feel free to continue or we merge here :)

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  DOC: Added examples to docstrings of DataArray methods (#7123) 1396401446
1279301886 https://github.com/pydata/xarray/pull/7123#issuecomment-1279301886 https://api.github.com/repos/pydata/xarray/issues/7123 IC_kwDOAMm_X85MQJj- headtr1ck 43316012 2022-10-14T17:55:14Z 2022-10-14T17:55:14Z COLLABORATOR

The QUANTILE_METHODS has been moved and renamed to core.types.QuantileMethods. Probably something went wrong in the merge.

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  DOC: Added examples to docstrings of DataArray methods (#7123) 1396401446
1270429243 https://github.com/pydata/xarray/pull/7123#issuecomment-1270429243 https://api.github.com/repos/pydata/xarray/issues/7123 IC_kwDOAMm_X85LuTY7 headtr1ck 43316012 2022-10-06T17:15:16Z 2022-10-06T17:15:16Z COLLABORATOR

I noticed that DataArray.interp_like takes an argument called kwargs, but not in the traditional manner which allows passing keyworded arguments (**kwargs).

If this is the intended behavior then I think kwargs is kind of a misleading name for this argument.

See #7130

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  DOC: Added examples to docstrings of DataArray methods (#7123) 1396401446
1268601003 https://github.com/pydata/xarray/pull/7123#issuecomment-1268601003 https://api.github.com/repos/pydata/xarray/issues/7123 IC_kwDOAMm_X85LnVCr headtr1ck 43316012 2022-10-05T15:32:03Z 2022-10-05T15:32:03Z COLLABORATOR

Any ideas about how to avoid this issue on Windows?

I have not figured that out. Usually the difference is small enough to fix it by hand.

Maybe we could add a CI run that generates it and commits a correction if necessary, the same way we do it for black right now.

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  DOC: Added examples to docstrings of DataArray methods (#7123) 1396401446
1268507730 https://github.com/pydata/xarray/pull/7123#issuecomment-1268507730 https://api.github.com/repos/pydata/xarray/issues/7123 IC_kwDOAMm_X85Lm-RS headtr1ck 43316012 2022-10-05T14:23:36Z 2022-10-05T14:23:36Z COLLABORATOR

I performed doctests on my machine inside a conda venv following the Contributing Guide using Python 3.9, and passed the them.

Yet, it doesn't pass the github tests. Any ideas as to why that might be?

I assume you are on windows? Same always happens to me.

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  DOC: Added examples to docstrings of DataArray methods (#7123) 1396401446

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