20 февр. 2013 г. · Here's a one line solution to remove columns based on duplicate column names: df = df.loc[:,~df.columns.duplicated()].copy()

19 сент. 2012 г. · I have a dataframe with repeat values in column A. I want to drop duplicates, keeping the row with the highest value in column B.

15 мая 2014 г. · The pandas drop_duplicates function is great for "uniquifying" a dataframe. I would like to drop all rows which are duplicates across a subset of columns. Is ...

15 мар. 2021 г. · I want to drop where two values in separate columns are the same. Using below, I want to drop where Value and Item are duplicates.

25 сент. 2021 г. · Unfortunately, there's no pandas built-in function to drop duplicate columns. df.drop_duplicates only removes duplicate rows. Return DataFrame with duplicate ...

5 апр. 2022 г. · You can combine a and b into a tuple and call drop_duplicates based on the combined columne: t = df[["a", "b"]].apply(lambda row: tuple(set(row)), axis

22 нояб. 2022 г. · You can use: df = df.T.drop_duplicates().T Step by step: df2 = df.T # T = transpose (convert rows to columns)

29 июл. 2020 г. · Without c column being str. pd.DataFrame(np.unique(df), columns=df.columns) works for droping duplicate lists.

25 апр. 2021 г. · I'm looking for a way to drop duplicate rows based one a certain column subset, but merge some data, so it does not get removed.

16 июн. 2018 г. · Inside the drop_duplicates() method of Dataframe you can provide a series of column names to eliminate duplicate records from your data.