My dataset:

I would like to generate a variable that is 1 if "col_dep_ever" is 1 & regim_o and regime_d are different (regime_o=! regime_d).

for i in range(len(???)):
    if regime_d[i]== regime_o[i] and col_dep_ever==1:
        df['var1']=2
    elif regime_d[i]!=regime_o[i] and col_dep_ever==1:
        df['var1']=1
    elif regime_d[i]!=regime_o[i] and col_dep_ever==0:
        df['var1']=0
    elif regime_d[i]==regime_o[i] and col_dep_ever==0:
        df['var1']=0
    else:
        df['var1']=None

CodePudding user response：

I will give an answer to 1 row, you can generalise it with a loop. Also based on the 0 lines of code you provided us I had to make some assumption. but this should resolve your issue

## I have no idea why it is not just a boolean but ok
my_binary_data = 1 if col_dep_ever == '1.0' and regime_o=! regime_d else 0

A better way is to just use a True/False value :

my_boolean_value = col_dep_ever == '1.0' and regime_o=! regime_d