用另一个 dataframe 列的值替换 dataframe 列值

Question

Let me explain my problem a bit more. I have a dataframe with ID, name and surname, let's call him df_src ex:

ID        Name       Surname
177015H   LAURE      Thomas
198786X   ANGEARD    Audrey
136235G   EYSSERIC   Laurent
198786X   ANGEARD    Audrey

In this dataframe i have multiple values that are duplicated. Due to the fact that a person can manage diffrent people.
In the other hand my second dataframe contains each of previous rows without the duplicated values + pseudonymize data, let's call him df_tem ex:

ID        Name       Surname       FakeID    FakeName       FakeSurname
177015H   LAURE      Thomas        127345H   ELOR           Lori
198786X   ANGEARD    Audrey        112846X   RELARD         Pierre
136235G   EYSSERIC   Laurent       108456G   SERIC          Marc
...       ...        ...           ....      ...            ...

What i want to accomplish here is to replace all values from df_src that are similar to the one on df_tem by the fake value. For ex Replace all duplicated values of 177015H LAURE Thomas by 127345H ELOR Lori and so on.

I try to use

df_src.replace(to_replace=dfsrc['column'], value=df_tem['column'], inplace=True)

just to have none in return. It's been several hour that i'm on it without being able to find a way of doing it with pandas.

Do you have any idea? Any hep will be appreciated.

Answer 1

I would merge both and then rename the columns:

df = df_src.merge(df_tem, on=["ID", "Name", "Surname"], how="left"
    ).drop(columns=["ID", "Name", "Surname"]
    ).rename(columns={"FakeID": "ID", "FakeName": "Name", "FakeSurname": "Surname"})