I have a df that looks like this:
     carry_dt    sedol    prime_broker_id  legal_entity   strategy  NewCarryRate  
716   2018-01-02  B1T84Z4    CITI             USSA-AGG      USSA       NaN
I would like to check if there are any NaN values in the column 'NewCarryRate' and replace them
I created an if condition:
 if (allHoldings['NewCarryRate'].iloc[[i]].isnull())==True:
        allHoldings['NewCarryRate'].values[i]= 100
I get an error saying:
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
I know I can use np.where but I find it easier to use if condition here because I can add more rows under the if condition if I wanted to.
Many Thanks for your help
 
    