Potential performance issue: Unreliable performance of .loc in pandas 2.0.3
TendouArisu opened this issue · comments
Issue Description:
Hello.
I have discovered a performance degradation in the .loc function of pandas version 2.0.3 when .loc handling big DataFrame with non-unique indexes. When using pandas more than 4 indexes, .loc drastically increases to X1000 times. And I notice that pgml-sdks/pgml/python/examples/requirements.txt
, shows that it depends on pandas version 2.0.3. I am not sure whether this performance problem in pandas will affect this repository. I found some discussions on GitHub related to this issue, including #54550 and #54746.
I also found that pgml-extension/tests/xgboost_python.py
used the influenced api. There may be more files used the influenced api.
Suggestion
I would recommend considering an upgrade to a different version of pandas >= 2.1 or exploring other solutions to optimize the performance of .loc
.
Any other workarounds or solutions would be greatly appreciated.
Thank you!