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/issues/1565#issuecomment-883607729,https://api.github.com/repos/pydata/xarray/issues/1565,883607729,IC_kwDOAMm_X840qsix,5635139,2021-07-20T18:33:29Z,2021-07-20T18:33:29Z,MEMBER,@hding1981 you would need to make a MCVE like this: https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports in a new issue. It's unlikely someone can help you debug your data.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,256496917
https://github.com/pydata/xarray/issues/1565#issuecomment-883589599,https://api.github.com/repos/pydata/xarray/issues/1565,883589599,IC_kwDOAMm_X840qoHf,5635139,2021-07-20T18:04:52Z,2021-07-20T18:04:52Z,MEMBER,"@hding1981 IIUC this isn't supported at the moment. Though with the approaching index refactor, we may be able to support this more easily","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,256496917
https://github.com/pydata/xarray/issues/1565#issuecomment-329177780,https://api.github.com/repos/pydata/xarray/issues/1565,329177780,MDEyOklzc3VlQ29tbWVudDMyOTE3Nzc4MA==,10050469,2017-09-13T14:03:06Z,2017-09-13T14:03:06Z,MEMBER,"> Potentially we could some sort of API for surfacing this information, e.g., a pandas_dtype property to xarray.Variable.
It's probably cleaner, because the dtype of PeriodIndex can be several things, i.e. ``'period[M]'`` in my case.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,256496917
https://github.com/pydata/xarray/issues/1565#issuecomment-328654477,https://api.github.com/repos/pydata/xarray/issues/1565,328654477,MDEyOklzc3VlQ29tbWVudDMyODY1NDQ3Nw==,1217238,2017-09-11T20:50:16Z,2017-09-11T20:50:16Z,MEMBER,"It's only an `dtype=object` array externally: internally, the data is still stored as a `pandas.PeriodIndex`. I think you'll find that inside `ref_var._data.array` .
Potentially we could some sort of API for surfacing this information, e.g., a `pandas_dtype` property to `xarray.Variable`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,256496917
https://github.com/pydata/xarray/issues/1565#issuecomment-328637548,https://api.github.com/repos/pydata/xarray/issues/1565,328637548,MDEyOklzc3VlQ29tbWVudDMyODYzNzU0OA==,10050469,2017-09-11T19:43:19Z,2017-09-11T19:43:19Z,MEMBER,"OK, so the problem is that when given to ``is_datetime_like`` [here](https://github.com/pydata/xarray/blob/5472fb585b9bfda7b0ce5b54d0182d608199df35/xarray/core/dataset.py#L81), the ``pd.PeriodIndex`` is already transformed into an array of dtype ``object``.
Before @darothen 's https://github.com/pydata/xarray/pull/1356, the piece if code that was executed is ``date = ref_var.to_index()``, which has the nice property to return a ``PeriodIndex``, as shown here from my debugger:
```python
>>> ref_var
Out[1]:
array([Period('2000-01', 'M'), Period('2000-02', 'M'), Period('2000-03', 'M'),
Period('2000-04', 'M'), Period('2000-05', 'M'), Period('2000-06', 'M'),
Period('2000-07', 'M'), Period('2000-08', 'M'), Period('2000-09', 'M'),
Period('2000-10', 'M'), Period('2000-11', 'M'), Period('2000-12', 'M')], dtype=object)
>>> ref_var.to_index()
Out[3]:
PeriodIndex(['2000-01', '2000-02', '2000-03', '2000-04', '2000-05', '2000-06',
'2000-07', '2000-08', '2000-09', '2000-10', '2000-11', '2000-12'],
dtype='period[M]', name='time', freq='M')
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,256496917
https://github.com/pydata/xarray/issues/1565#issuecomment-328575741,https://api.github.com/repos/pydata/xarray/issues/1565,328575741,MDEyOklzc3VlQ29tbWVudDMyODU3NTc0MQ==,10050469,2017-09-11T16:00:43Z,2017-09-11T16:00:43Z,MEMBER,Indeed! Will look into it.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,256496917
https://github.com/pydata/xarray/issues/1565#issuecomment-328573731,https://api.github.com/repos/pydata/xarray/issues/1565,328573731,MDEyOklzc3VlQ29tbWVudDMyODU3MzczMQ==,1217238,2017-09-11T15:54:19Z,2017-09-11T15:54:19Z,MEMBER,"Looks like https://github.com/pydata/xarray/pull/1356, which introduced a `is_datatime_like()` check to the dtype of a variable before adding time components.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,256496917
https://github.com/pydata/xarray/issues/1565#issuecomment-328469339,https://api.github.com/repos/pydata/xarray/issues/1565,328469339,MDEyOklzc3VlQ29tbWVudDMyODQ2OTMzOQ==,10050469,2017-09-11T09:13:21Z,2017-09-11T09:13:21Z,MEMBER,"I was wondering which PR was responsible for the regression, but I guess I don't understand the internals well enough to classify this as ""easy fix"" for me ;)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,256496917
https://github.com/pydata/xarray/issues/1565#issuecomment-328400022,https://api.github.com/repos/pydata/xarray/issues/1565,328400022,MDEyOklzc3VlQ29tbWVudDMyODQwMDAyMg==,1217238,2017-09-11T02:31:41Z,2017-09-11T02:31:41Z,MEMBER,"I never intended to support time attributes on PeriodIndex objects so there was never any test coverage here, but I guess it has been working! Nonetheless this should be pretty easy to fix.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,256496917