dropping column in one dataframe is dropping in other dataframe

Asked Mar 31 '22 at 16:57

Active Mar 31 '22 at 17:03

Viewed 55 times

I create a dataframe 2 based on another dataframe 1. When I drop a column on dataframe 2, it also drops column on dataframe 1. This seems wrong but maybe I don't understand what's supposed to happen here.

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I expect the two dataframes to be independent of each other after df2 = df1

asked Mar 31 '22 at 16:57

ecob

Does this answer your question? [Why can pandas DataFrames change each other?](https://stackoverflow.com/questions/35665135/why-can-pandas-dataframes-change-each-other) – BigBen Mar 31 '22 at 17:03
`df2 = df1.copy()` – not_speshal Mar 31 '22 at 17:03
Also [this](https://stackoverflow.com/questions/2612802/list-changes-unexpectedly-after-assignment-why-is-this-and-how-can-i-prevent-it). – BigBen Mar 31 '22 at 17:04
2

For future reference, please see [ask], which specifically says *not* to use screenshots of code/data/errors. – BigBen Mar 31 '22 at 17:06
@BigBen Thank you! Should I delete the question or just edit it to remove screenshot? – ecob Mar 31 '22 at 17:18
Probably delete since it's a duplicate. – BigBen Mar 31 '22 at 17:20

dropping column in one dataframe is dropping in other dataframe

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