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WillKoehrsen avatar WillKoehrsen commented on August 20, 2024

After identifying the features to remove, you can drop them using the remove method. This returns a dataframe with the features removed that you can save to a csv using to.csv!

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HIN0209 avatar HIN0209 commented on August 20, 2024

@WillKoehrsen
Thank you! To be exact for other beginners like me, I did the following.
train_removed_all_once.to_csv("YouNameIt.csv")

In comparison to my original csv file, serial numbers were added to the first column (which I do not need) and the class (originally in the last column) was removed. I removed/added them anyway to return to the original format.

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WillKoehrsen avatar WillKoehrsen commented on August 20, 2024

The serial numbers are the index added by Pandas when you use .to_csv. To not add these in when saving a file use .to_csv(index = False). However, if you have an index that you need to save, then don't use this syntax!

Thanks for raising this issue and hopefully it might be helpful to others!

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