issue_comments: 325163311

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https://github.com/pydata/xarray/issues/1527#issuecomment-325163311 https://api.github.com/repos/pydata/xarray/issues/1527 325163311 MDEyOklzc3VlQ29tbWVudDMyNTE2MzMxMQ== 15331990 2017-08-26T21:38:35Z 2017-08-26T21:38:35Z CONTRIBUTOR

I don't know if you tried this yet, but if you changed the length to 365 and keep it with non-leap year, it still errors out so I guess the root issue is with how time.dayofyear uses 366 days?

``` import xarray as xr import numpy as np import pandas as pd

d1 = xr.DataArray(np.zeros(12000), [('time', pd.date_range('2004-01-01', freq='D', periods=12000))]) d2 = xr.DataArray(np.zeros((365, 10)), {'time': pd.date_range('1979-01-01', freq='D', periods=365), 'x': ('x', np.arange(10))}, dims=['time', 'x'])

d1.groupby('time.month') * d2.groupby('time.month').mean('time') print('this works')

no work

d1.groupby('time.dayofyear') * d2.groupby('time.dayofyear').mean('time') print('this doesn\'t work') ```

 
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