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-509769833,https://api.github.com/repos/pydata/xarray/issues/3087,509769833,MDEyOklzc3VlQ29tbWVudDUwOTc2OTgzMw==,1217238,2019-07-09T19:12:19Z,2019-07-09T19:12:19Z,MEMBER,"I'm going to merge this shortly, and leave further clean-up for later.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,464888388
https://github.com/pydata/xarray/pull/3087#issuecomment-509300142,https://api.github.com/repos/pydata/xarray/issues/3087,509300142,MDEyOklzc3VlQ29tbWVudDUwOTMwMDE0Mg==,1217238,2019-07-08T16:37:44Z,2019-07-08T16:37:44Z,MEMBER,"Yeah, I'm not quite sure how we want to handle the datetime64 with timezones warnings. Possibly we just want to silence them in our test suite, and enocourage users to explicitly cast their pandas data to a dtype supported by numpy before loading it into xarray. Doing that properly would require the equivalent of ""re-raising"" a warning. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,464888388
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)
```

locally.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,464888388