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/1761#issuecomment-583894838,https://api.github.com/repos/pydata/xarray/issues/1761,583894838,MDEyOklzc3VlQ29tbWVudDU4Mzg5NDgzOA==,26384082,2020-02-09T21:20:19Z,2020-02-09T21:20:19Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,279456192 https://github.com/pydata/xarray/issues/1761#issuecomment-372148226,https://api.github.com/repos/pydata/xarray/issues/1761,372148226,MDEyOklzc3VlQ29tbWVudDM3MjE0ODIyNg==,1634164,2018-03-11T20:53:49Z,2018-03-11T20:59:08Z,NONE,"~Also experiencing this, though for a different method & version of bottleneck:~ Sorry, turns out this was due to a Python 3.5 → 3.6 upgrade without re-install of pip packages. Please disregard! ``` $ pip list | grep -Ei ""(bottleneck|xarray)"" Bottleneck 1.2.1 xarray 0.10.1 $ python3 -c ""import xarray"" Traceback (most recent call last): File """", line 1, in File ""/home/khaeru/.local/lib/python3.6/site-packages/xarray/__init__.py"", line 10, in from .core.extensions import (register_dataarray_accessor, File ""/home/khaeru/.local/lib/python3.6/site-packages/xarray/core/extensions.py"", line 7, in from .dataarray import DataArray File ""/home/khaeru/.local/lib/python3.6/site-packages/xarray/core/dataarray.py"", line 16, in from . import rolling File ""/home/khaeru/.local/lib/python3.6/site-packages/xarray/core/rolling.py"", line 377, in inject_bottleneck_rolling_methods(DataArrayRolling) File ""/home/khaeru/.local/lib/python3.6/site-packages/xarray/core/ops.py"", line 362, in inject_bottleneck_rolling_methods f = getattr(bn, bn_name) AttributeError: module 'bottleneck' has no attribute 'move_sum' ```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,279456192 https://github.com/pydata/xarray/issues/1761#issuecomment-349771464,https://api.github.com/repos/pydata/xarray/issues/1761,349771464,MDEyOklzc3VlQ29tbWVudDM0OTc3MTQ2NA==,1882397,2017-12-06T20:54:18Z,2017-12-06T20:54:18Z,NONE,"@jhamman Ah, I didn't see that. In hindsight the install docs seem like an obvious place to look for info about this... @maxim-lian That pandas solution would have saved me a bit of debugging :-) I guess another option would be to only replace functions that are present in Bottleneck. As long as they only add and never change functions this would allow xarray to use even very recent additions to bottleneck.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,279456192 https://github.com/pydata/xarray/issues/1761#issuecomment-349474695,https://api.github.com/repos/pydata/xarray/issues/1761,349474695,MDEyOklzc3VlQ29tbWVudDM0OTQ3NDY5NQ==,5635139,2017-12-05T23:20:32Z,2017-12-05T23:20:32Z,MEMBER,The error message could be better; this is how pandas does it: https://github.com/pandas-dev/pandas/blob/93c755e0ea64b6039c8ecd55fc637d1dd67dbd6e/pandas/core/nanops.py#L28,"{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,279456192 https://github.com/pydata/xarray/issues/1761#issuecomment-349472773,https://api.github.com/repos/pydata/xarray/issues/1761,349472773,MDEyOklzc3VlQ29tbWVudDM0OTQ3Mjc3Mw==,2443309,2017-12-05T23:11:23Z,2017-12-05T23:11:23Z,MEMBER,@aseyboldt - Xarray now has a minimum version requirement for bottleneck of 1.1. This is mentioned in the docs here: http://xarray.pydata.org/en/latest/installing.html#for-accelerating-xarray,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,279456192