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[python #QTK-781041]: (No Subject)

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  • Subject: [python #QTK-781041]: (No Subject)
  • Date: Fri, 04 Jun 2021 10:21:58 -0600
Hello! Thanks for reaching out.

To accomplish what you've described here, check out xarray's GroupBy and 
timeseries functionality:

  http://xarray.pydata.org/en/stable/user-guide/groupby.html
  
http://xarray.pydata.org/en/stable/user-guide/time-series.html#resampling-and-grouped-operations

For example, I was able to create monthly/yearly means of your data with the 
following,

  import xarray
  ds = xarray.open_dataset('pp2014.nc')

  ds.groupby('time.month').mean()

which gave me the monthly mean value at each latitude/longitude. Or,

  ds.groupby('time.year').mean(...)

which gave me the annual mean value for the entire domain (where the `...` 
tells `mean()` to take the mean across all dimensions.)

I hope this helps! If this isn't what you're looking for or you run into any 
other issues, don't hesitate to reach back out. Thanks!


All the best,

Drew


> I am writing
> to you today with the hope to find hints to my problem. I have attached
> one of my netcdf file. The data contains hourly mean of each month and
> I need to calculate the mean for the whole month and also the year with
> xarray in python. Even trying my best, I cannot get the desired output.



Ticket Details
===================
Ticket ID: QTK-781041
Department: Support Python
Priority: Low
Status: Closed
===================
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