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  • cwerner · 2 ✖

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  • DataArray resample does not work if the time coordinate name is different from the corresponding dimension name. · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
343527624 https://github.com/pydata/xarray/issues/1041#issuecomment-343527624 https://api.github.com/repos/pydata/xarray/issues/1041 MDEyOklzc3VlQ29tbWVudDM0MzUyNzYyNA== cwerner 13906519 2017-11-10T16:56:22Z 2017-11-10T16:56:22Z NONE

Ok, do you mean something like this?

ds = xr.open_dataset(fname_data, decode_times=False) ds['time_agg'] = xr.full_like(ds['time'], 0) ds['time_agg'][:] = np.repeat(np.arange(len(ds['time'])/10), 10) ds_agg = ds.groupby('time_agg').mean(dim='time')

 
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   DataArray resample does not work if the time coordinate name is different from the corresponding dimension name. 181534708
343524554 https://github.com/pydata/xarray/issues/1041#issuecomment-343524554 https://api.github.com/repos/pydata/xarray/issues/1041 MDEyOklzc3VlQ29tbWVudDM0MzUyNDU1NA== cwerner 13906519 2017-11-10T16:45:08Z 2017-11-10T16:45:08Z NONE

@shoyer Is it possible to resample using fixed user-defined intervals? I have a non-CF compliant time axis (years -22000 to 1989) and want to aggregate by mean or argmax for 10 year intervals...

Is this possible using resample? 

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   DataArray resample does not work if the time coordinate name is different from the corresponding dimension name. 181534708

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