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