How to drop duplicates based on two or more subsets criteria in Pandas data-frame

Question

Lets say this is my data-frame

df = pd.DataFrame({ \'bio\' : [\'1\', \'1\', \'1\', \'4\'],
                \'center\' : [\'one\', \'one\', \'two\', \'three\'         


        

Answer 1

Your syntax is wrong. Here's the correct way:

df.drop_duplicates(subset=['bio', 'center', 'outcome'])

Or in this specific case, just simply:

df.drop_duplicates()

Both return the following:

  bio center outcome
0   1    one       f
2   1    two       f
3   4  three       f

Take a look at the df.drop_duplicates documentation for syntax details. subset should be a sequence of column labels.