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/6045#issuecomment-985942042,https://api.github.com/repos/pydata/xarray/issues/6045,985942042,IC_kwDOAMm_X846xEga,12237157,2021-12-04T01:37:16Z,2021-12-04T03:02:12Z,CONTRIBUTOR,"code in xarray is nearly identical to pandas. Maybe I misunderstood the documentation/explanation, i.e. meaning of `month` in `freq-month` for seasonal","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1071049280
https://github.com/pydata/xarray/issues/6045#issuecomment-985925827,https://api.github.com/repos/pydata/xarray/issues/6045,985925827,IC_kwDOAMm_X846xAjD,12237157,2021-12-04T00:22:47Z,2021-12-04T00:22:47Z,CONTRIBUTOR,"the same happens also in `pandas`...
```python
import pandas as pd
i_pd = pd.date_range(start=""2000-01-01"", end=""2002-01-01"", freq=""6MS"")
i_pd
DatetimeIndex(['2000-01-01', '2000-07-01', '2001-01-01', '2001-07-01',
               '2002-01-01'],
              dtype='datetime64[ns]', freq='6MS')

pd.infer_freq(i_pd)
'2QS-OCT'
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1071049280