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Hello.
I have discovered a performance degradation in the .to_csv function of pandas version 1.2.0. And I notice the repository depends on pandas 1.2.0 in 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 #39413 and #44908.
I also found that 03-process-unsplash-dataset.ipynb 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_csv.
Any other workarounds or solutions would be greatly appreciated.
Thank you!
The text was updated successfully, but these errors were encountered:
Thanks @TendouArisu, this is a valid point. I don't have much time to maintain this project right now, so not sure when I can get to it. I'm happy to merge a PR though
Issue Description:
Hello.
I have discovered a performance degradation in the
.to_csv
function of pandas version 1.2.0. And I notice the repository depends on pandas 1.2.0 inrequirements.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 #39413 and #44908.I also found that
03-process-unsplash-dataset.ipynb
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_csv
.Any other workarounds or solutions would be greatly appreciated.
Thank you!
The text was updated successfully, but these errors were encountered: