python – find duplicates in a column, replace values in another column for that duplicate

I have a dataframe that consists of of video game titles on various platforms. it contains, among other values the name, critic’s average score and user’s average score. Many of them are missing …

replace/change duplicate columns values where column name is same but values are different, then drop duplicate columns

Is there any way to drop duplicate columns, but replacing their values depending upon conditions like in table below, I would like to remove duplicate/second A and B columns, but want to replace the …

Python : Dropping specific rows in a dataframe and keep a specif one

Let’s say that I have this dataframe Name = [‘ID’, ‘Country’, ‘IBAN’,’ID_info_1′, ‘Dan_Age’, ‘ID_info_1′,’Dan_city’,’ID_info_1′,’Dan_country’,’ID_info_1′, ‘ID_info_2’, ‘ID_info_2′,’ID_info_2’, ‘…

pandas, merge duplicates if row contains wildcard text

I have a dataset of duplicates (ID). Dataset contains both information and emails. I’m trying to concatenate the emails (if row have character @) and then remove the duplicates. My original dataset: …