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1 row where issue = 996352280 and user = 35968931 sorted by updated_at descending

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  • TomNicholas · 1 ✖

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  • Single matplotlib import · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
921868793 https://github.com/pydata/xarray/pull/5794#issuecomment-921868793 https://api.github.com/repos/pydata/xarray/issues/5794 IC_kwDOAMm_X8428pn5 TomNicholas 35968931 2021-09-17T15:03:05Z 2021-09-17T15:03:05Z MEMBER

The slowest run took 11.40 times longer than the fastest. This could mean that an intermediate result is being cached.

What happens if you manually time just a single import (I think you can tell timeit to run only once)? It seems like averaging might not be giving an accurate reflection of the import time here.

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  Single matplotlib import 996352280

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