Create Multiple New Columns Based On Pipe-Delimited Column In Pandas

I have a pandas dataframe with a pipe delimited column with an arbitrary number of elements, called Parts. The number of elements in these pipe-strings varies from 0 to over 10. Th

Solution 1:

You can use get_dummies and add_prefix:

df.Parts.str.get_dummies().add_prefix('Part_')

Output:

   Part_12  Part_34  Part_56
0        1        1        1

Edit for comment and counting duplicates.

df = pd.DataFrame({'Parts':['12|34|56|12']}, index=[0])
pd.get_dummies(df.Parts.str.split('|',expand=True).stack()).sum(level=0).add_prefix('Part_')

Output:

   Part_12  Part_34  Part_56
0        2        1        1