pandas drop duplicates based on condition

So this is the recipe on how we can delete duplicates from a Pandas DataFrame. Removing duplicates from rows based on specific columns in an RDD/Spark DataFrame. DELETE. pandas drop Remove rows with duplicate indices in Pandas DataFrame By comparing the values across rows 0-to-1 as well as 2-to-3, you can see that only the last values within the datestamp column were kept. How do I optimize the for loop in this pandas script using groupby? details = {. Now we drop duplicates, passing the correct arguments: In [4]: df.drop_duplicates (subset="datestamp", keep="last") Out [4]: datestamp B C D 1 A0 B1 B1 D1 3 A2 B3 B3 D3. 1. Unlike other methods this one doesn't accept boolean arrays as input. Pandas drop_duplicates() | How drop_duplicates() works in … pandas drop duplicates based on condition Pandas drop_duplicates() method helps in removing duplicates from the data frame. Pandas