How to remove duplicates in a column of a pandas DataFrame using another column as a tiebreaker in Python

Removing duplicates in a column of a pandas.DataFrame using another column as a tiebreaker removes all duplicates in a column and keeps the index with the highest value of another column.

Solution for How to remove duplicates in a column of a pandas DataFrame using another column as a tiebreaker in Python : You can use pandas.DataFrame.drop_duplicates() to drop duplicates in a column Call pandas.DataFrame.sort_values(column_name, ascending=False) to reorder the rows of a pandas.DataFrame such that the column with name column_name is in descending order. Call pandas.DataFrame.drop_duplicates(column_name) with the previous result to drop the duplicates in another column with name column_name by keeping the first occurrence of the element, which was sorted to have the highest value in the previous column. Use pandas.DataFrame.sort_index() to reorder the rows to the initial ordering.


how-to-remove-duplicates-in-a-column-of-a-pandas-dataframe-using-another-column-as-a-tiebreaker-in-python