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  • aaronspring · 2 ✖

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  • `xr.infer_freq` month bug for `freq='6MS'` starting Jan becomes `freq='2QS-OCT'` · 2 ✖

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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
985942042 https://github.com/pydata/xarray/issues/6045#issuecomment-985942042 https://api.github.com/repos/pydata/xarray/issues/6045 IC_kwDOAMm_X846xEga aaronspring 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

 
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   `xr.infer_freq` month bug for `freq='6MS'` starting Jan becomes `freq='2QS-OCT'` 1071049280
985925827 https://github.com/pydata/xarray/issues/6045#issuecomment-985925827 https://api.github.com/repos/pydata/xarray/issues/6045 IC_kwDOAMm_X846xAjD aaronspring 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' ```

 
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   `xr.infer_freq` month bug for `freq='6MS'` starting Jan becomes `freq='2QS-OCT'` 1071049280

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