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  • Rolling mean of dask array conflicting sizes for data and coordinate in rolling operation · 2 ✖

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388509895 https://github.com/pydata/xarray/issues/2113#issuecomment-388509895 https://api.github.com/repos/pydata/xarray/issues/2113 MDEyOklzc3VlQ29tbWVudDM4ODUwOTg5NQ== fujiisoup 6815844 2018-05-11T23:27:22Z 2018-05-12T00:25:25Z MEMBER

~I noticed that this bug arises when bottleneck is installed.~

EDIT The test suite was not checking center=True. I will look inside the code.

 
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   Rolling mean of dask array conflicting sizes for data and coordinate in rolling operation 321917084
388099066 https://github.com/pydata/xarray/issues/2113#issuecomment-388099066 https://api.github.com/repos/pydata/xarray/issues/2113 MDEyOklzc3VlQ29tbWVudDM4ODA5OTA2Ng== shoyer 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.

 
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   Rolling mean of dask array conflicting sizes for data and coordinate in rolling operation 321917084

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