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  • Time Dimension, Big problem with methods 'groupby' and 'to_netcdf' · 2 ✖

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316810057 https://github.com/pydata/xarray/issues/1480#issuecomment-316810057 https://api.github.com/repos/pydata/xarray/issues/1480 MDEyOklzc3VlQ29tbWVudDMxNjgxMDA1Nw== rabernat 1197350 2017-07-20T19:46:15Z 2017-07-20T19:46:15Z MEMBER

As I understand he is getting monthly data out of groupby-method and in his example the "time" survives. It seems to be that the functionality of groupby-month changed during the years, because the groupby-method in Nicolas's example did not aggregate same calendar month to one time stamp.

There has been no change in xarray's groupby behavior. Nicolas' example would work with today's code. When you call datset.groupby('time.month').mean('time'), you remove the time dimension by aggregating over it. If you had applied a different (non-reducing) function to the group (e.g. datset.groupby('time.month').apply(lambda x : x**2), you would preserve the time dimension.

 
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   Time Dimension, Big problem with methods 'groupby' and 'to_netcdf' 243270042
315849728 https://github.com/pydata/xarray/issues/1480#issuecomment-315849728 https://api.github.com/repos/pydata/xarray/issues/1480 MDEyOklzc3VlQ29tbWVudDMxNTg0OTcyOA== jhamman 2443309 2017-07-17T19:01:01Z 2017-07-17T19:01:01Z MEMBER

@rpnaut - @byersiiasa is correct. It sounds like you want

Python datset.resample('MS', dim='time', how='mean')

The month labels (1, 2, 3, ...) come from pandas TimeGrouper and this is functionality we will want to keep around. 

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   Time Dimension, Big problem with methods 'groupby' and 'to_netcdf' 243270042

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