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Thank you for your valuable work.
I ran the SPI function for a NetCDF file (time series from 2000, 2023), but unfortunately many pixels calculated as NoData.
Could this line of code be the problem?
ds_In = ds_In.where(np.isinf(ds_In) == False) #= np.nan #Change infinity to NaN
Do you have an idea to solve the problem?
The text was updated successfully, but these errors were encountered:
Thank you for your valuable work.
I ran the SPI function for a NetCDF file (time series from 2000, 2023), but unfortunately many pixels calculated as NoData.
Could this line of code be the problem?
ds_In = ds_In.where(np.isinf(ds_In) == False) #= np.nan #Change infinity to NaN
Do you have an idea to solve the problem?
The text was updated successfully, but these errors were encountered: