use aggregated.to_dataset().to_dataframe() within aggregated.to_dataframe()

[raybellwaves]

When dealing with time data aggregated.to_dataframe() will return columns as data_var0, data_var1.

xarray has a method to convert to a dataframe http://xarray.pydata.org/en/stable/generated/xarray.DataArray.to_dataframe.html which moves coords to an multiindex.

You would just have to add in the geometry and crs from the incoming geopandas to make it a geopandas dataframe.

[ks905383]

Oh this is excellent. Will implement.