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  • dcherian · 1 ✖

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  • Suppress warnings and add test coverage · 1 ✖

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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
509269968 https://github.com/pydata/xarray/pull/3087#issuecomment-509269968 https://api.github.com/repos/pydata/xarray/issues/3087 MDEyOklzc3VlQ29tbWVudDUwOTI2OTk2OA== dcherian 2448579 2019-07-08T15:19:34Z 2019-07-08T15:19:34Z MEMBER

I'm also seeing ``` xarray/core/dataset.py:3666 /home/deepak/work/python/xarray/xarray/core/dataset.py:3666: FutureWarning: Converting timezone-aware DatetimeArray to timezone-naive ndarray with 'datetime64[ns]' dtype. In the future, this will return an ndarray with 'object' dtype where each element is a 'pandas.Timestamp' with the correct 'tz'. To accept the future behavior, pass 'dtype=object'. To keep the old behavior, pass 'dtype="datetime64[ns]"'. data = np.asarray(series).reshape(shape)

/home/deepak/miniconda3/envs/dcpy/lib/python3.7/site-packages/pandas/core/apply.py:286 /home/deepak/miniconda3/envs/dcpy/lib/python3.7/site-packages/pandas/core/apply.py:286: FutureWarning: Converting timezone-aware DatetimeArray to timezone-naive ndarray with 'datetime64[ns]' dtype. In the future, this will return an ndarray with 'object' dtype where each element is a 'pandas.Timestamp' with the correct 'tz'. To accept the future behavior, pass 'dtype=object'. To keep the old behavior, pass 'dtype="datetime64[ns]"'. results[i] = self.f(v) ```

locally.

 
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   Suppress warnings and add test coverage 464888388

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