issue_comments: 499548285
This data as json
| 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/2007#issuecomment-499548285 | https://api.github.com/repos/pydata/xarray/issues/2007 | 499548285 | MDEyOklzc3VlQ29tbWVudDQ5OTU0ODI4NQ== | 10194086 | 2019-06-06T15:36:58Z | 2019-06-06T15:36:58Z | MEMBER | I am coming back to @shoyer suggestion in #2011 - your idea would be to do first a ``` python import numpy as np import xarray as xr x = np.arange(1, 366) y = np.random.randn(365) ds = xr.DataArray(y, dims=dict(dayofyear=x)) ds.pad(dayofyear=15, mode='wrap').rolling(center=True, dayofyear=31).mean() ``` |
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