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  • pierreloicq · 6 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1410403955 https://github.com/pydata/xarray/pull/7481#issuecomment-1410403955 https://api.github.com/repos/pydata/xarray/issues/7481 IC_kwDOAMm_X85UEQ5z pierreloicq 8809578 2023-01-31T13:58:09Z 2023-01-31T13:58:09Z CONTRIBUTOR

As you wish because I don't know, I am not native English speaker :-)

 
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   clarification for thresh arg of dataset.dropna() 1559907732
957930204 https://github.com/pydata/xarray/pull/5876#issuecomment-957930204 https://api.github.com/repos/pydata/xarray/issues/5876 IC_kwDOAMm_X845GNrc pierreloicq 8809578 2021-11-02T16:40:31Z 2021-11-02T16:40:31Z CONTRIBUTOR

I did not manage to add the test on the @requires_cftime def test_seasons: cftime_date_type(np.datetime64("NaT")) or cftime_date_type(np.nan) are not allowed

Feel free to add it if you understand that more than me

 
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   _season_from_months can now handle np.nan 1030492705
957890546 https://github.com/pydata/xarray/pull/5876#issuecomment-957890546 https://api.github.com/repos/pydata/xarray/issues/5876 IC_kwDOAMm_X845GD_y pierreloicq 8809578 2021-11-02T16:10:15Z 2021-11-02T16:10:15Z CONTRIBUTOR

I don't understand this test fail. My modifications pass the tests on my computer. 

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   _season_from_months can now handle np.nan 1030492705
948999461 https://github.com/pydata/xarray/pull/5876#issuecomment-948999461 https://api.github.com/repos/pydata/xarray/issues/5876 IC_kwDOAMm_X844kJUl pierreloicq 8809578 2021-10-21T21:01:31Z 2021-10-21T21:01:31Z CONTRIBUTOR

Indeed, but it looks like they were corrected automatically, right ? If so, I need to wait 5875 to pass ?

Le jeu. 21 oct. 2021 à 20:29, Illviljan @.***> a écrit :

=========================== short test summary info ============================ FAILED xarray/tests/test_backends.py::TestPseudoNetCDFFormat::test_ict_format FAILED xarray/tests/test_backends.py::TestPseudoNetCDFFormat::test_ict_format_write = 2 failed, 13692 passed, 1110 skipped, 226 xfailed, 66 xpassed, 128 warnings in 549.50s (0:09:09) =

Will be fixed in #5875 https://github.com/pydata/xarray/pull/5875.

But there's a few code linting errors which pep8speaks is also complaining about.

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   _season_from_months can now handle np.nan 1030492705
948358184 https://github.com/pydata/xarray/pull/5876#issuecomment-948358184 https://api.github.com/repos/pydata/xarray/issues/5876 IC_kwDOAMm_X844hswo pierreloicq 8809578 2021-10-21T08:00:48Z 2021-10-21T08:00:48Z CONTRIBUTOR

Hello, I tried some rapid change without even cloning the code. Can someone look at the failing tests ? some don't seem related to my modification.

 
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   _season_from_months can now handle np.nan 1030492705
843157029 https://github.com/pydata/xarray/issues/3661#issuecomment-843157029 https://api.github.com/repos/pydata/xarray/issues/3661 MDEyOklzc3VlQ29tbWVudDg0MzE1NzAyOQ== pierreloicq 8809578 2021-05-18T13:08:39Z 2021-05-18T13:08:39Z CONTRIBUTOR

For people of the future: the doc is here : http://xarray.pydata.org/en/stable/user-guide/data-structures.html search for this line "As a dictionary with coords across multiple dimensions:" 

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   How to handle 2d latitude and longitude coordinates within DataArray creation 545297609

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