You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello.
I have discovered a performance degradation in the .to_json function of pandas version 1.1.0. And I notice the repository depends on pandas 1.1.0 in docker/lab/files/requirements.txt. I am not sure whether this performance problem in pandas will affect this repository. I found some discussions on pandas GitHub related to this issue, including #43877 and #45489.
I also found that ai/metalearning/export_to_mongo.py used the influenced api. There may be more files using the influenced api.
Suggestion
I would recommend considering an upgrade to a different version of pandas >= 1.4 or exploring other solutions to optimize the performance of .to_json.
Any other workarounds or solutions would be greatly appreciated.
Thank you!
The text was updated successfully, but these errors were encountered:
Issue Description:
Hello.
I have discovered a performance degradation in the
.to_json
function of pandas version 1.1.0. And I notice the repository depends on pandas 1.1.0 indocker/lab/files/requirements.txt
. I am not sure whether this performance problem in pandas will affect this repository. I found some discussions on pandas GitHub related to this issue, including #43877 and #45489.I also found that
ai/metalearning/export_to_mongo.py
used the influenced api. There may be more files using the influenced api.Suggestion
I would recommend considering an upgrade to a different version of pandas >= 1.4 or exploring other solutions to optimize the performance of
.to_json
.Any other workarounds or solutions would be greatly appreciated.
Thank you!
The text was updated successfully, but these errors were encountered: