issue_comments: 611302006

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https://github.com/pydata/xarray/issues/3957#issuecomment-611302006 https://api.github.com/repos/pydata/xarray/issues/3957 611302006 MDEyOklzc3VlQ29tbWVudDYxMTMwMjAwNg== 34353851 2020-04-09T03:04:53Z 2020-04-09T03:04:53Z NONE

Yes, but with a lot of information, dask is the only option, and working well with the index. https://github.com/dask/dask/issues/958

El jue., 9 abr. 2020 a las 2:54, Xin Zhang (notifications@github.com) escribió:

@JavierRuano https://github.com/JavierRuano Nice suggestion! I combine them to dataset, convert it to dataframe and then sort_values. Finally, convert the dataframe back to dataset:

ds = cld.to_dataset(name='cld') ds['pair'] = pair

df = ds.to_dataframe() new_ds = df.sort_values(by='cld').to_xarray().transpose()

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