create multiple rows if a column has more than one value in a dataframe

Question

I have a df like below:-

import pandas as pd 
  
# intialise data of lists. 
data = {'cust':['fnwp', 'utp'], 'events':[['abhi','ashu'],'abhi']} 
  
# Create DataFrame 
df = pd.DataFrame(data) 
  
# Print the output. 
df

My expected outcome is:-

Answer 1

You can use pandas.explode() function:

>>> df.explode('events').reset_index(drop=True)

   cust events
0  fnwp   abhi
1  fnwp   ashu
2   utp   abhi