html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/2113#issuecomment-388099066,https://api.github.com/repos/pydata/xarray/issues/2113,388099066,MDEyOklzc3VlQ29tbWVudDM4ODA5OTA2Ng==,1217238,2018-05-10T16:00:12Z,2018-05-10T16:00:12Z,MEMBER,"@raybellwaves thanks for the bug report!

Here's a slightly simplified version that shows the issue for dask:
```
import pandas as pd
import xarray as xr
import numpy as np

da_day_clim = xr.DataArray(np.arange(1, 367), coords=[np.arange(1, 367)], dims='dayofyear')
print(da_day_clim.rolling(dayofyear=31, center=True).mean())  # works
print(da_day_clim.chunk().rolling(dayofyear=31, center=True).mean())  # raises ValueError
```

The traceback is probably the place to start looking into this. I like to drop into a Python debugger (type `%debug` after the line that raised the error), navigate to different levels in the traceback with `u`/`d`, and then print out variables until I can identify which specific function/block of code seems to be doing the wrong thing.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,321917084