issue_comments: 1139098672

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/pull/6638#issuecomment-1139098672 https://api.github.com/repos/pydata/xarray/issues/6638 1139098672 IC_kwDOAMm_X85D5UQw 5635139 2022-05-26T22:01:55Z 2022-05-26T22:01:55Z MEMBER

Because we want an all-NaN slice to return NaN for corr, this doesn't work — we would need to add another transformation to mask out those slices after, when then requires another pass.

If there were a numba implementation of corr or cov, that would be far more performant than these, which are doing multiple passes & copies of each array, as well as blowing out any single-dimensions with the align.

I'll close this. If anyone has alternative ideas, please feel free to raise.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   1249095540