issue_comments: 516235099

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/3165#issuecomment-516235099 https://api.github.com/repos/pydata/xarray/issues/3165 516235099 MDEyOklzc3VlQ29tbWVudDUxNjIzNTA5OQ== 13084427 2019-07-30T02:33:23Z 2019-07-30T02:33:23Z NONE

Actually, there does seem to be something fishy going on here. I find that I'm able to execute temp.rolling(x=100).construct('window').mean('window').compute() successfully but not temp.rolling(x=100).mean().compute(), even though that should mostly be equivalent to the former.

Thank you so much for pointing it out. I tried the rollling.construct and it worked! I also tried it on other netcdf files and it sure solved the problem. Thank you so much for your help!

If this is caused by Dask's scheduler and there is no quick fix yet, do you think mention the rolling.construct in the Xarray document as the recommended usage would worth doing? It can help newbies like me a lot.

Cheers, Joey

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   473692721