html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/3087#issuecomment-509269968,https://api.github.com/repos/pydata/xarray/issues/3087,509269968,MDEyOklzc3VlQ29tbWVudDUwOTI2OTk2OA==,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)
```

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