issue_comments: 289708753

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https://github.com/pydata/xarray/issues/1334#issuecomment-289708753 https://api.github.com/repos/pydata/xarray/issues/1334 289708753 MDEyOklzc3VlQ29tbWVudDI4OTcwODc1Mw== 10050469 2017-03-28T09:05:21Z 2017-03-28T09:05:21Z MEMBER

I don't really understand what you mean. Here is the example from the docs again:

python import xarray as xr import pandas as pd import numpy as np time = pd.date_range('2000-01-01', freq='H', periods=24) ds = xr.Dataset({'foo': ('time', np.arange(24)), 'time': time}) ds['time.hour']

which prints:

<xarray.DataArray 'hour' (time: 24)> array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23], dtype=int32) Coordinates: * time (time) datetime64[ns] 2000-01-01 2000-01-01T01:00:00 ...

What is it exactly what you are expecting?

 
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