How can I generate a variable conditioning on different columns?

Question

My dataset:

country_d	country_o	regime_o	year	col_dep_ever	col_dep_end_year
Afghanistan	United Kingdom	1.0	1948	1.0	1919.0
Afghanistan	United Kingdom	1.0	1949	1.0	1919.0
Afghanistan	United Kingdom	1.0	1950	1.0	1919.0
India	United Kingdom	1.0	1948	1.0	1920.0
India	United Kingdom	1.0	1949	1.0	1920.0
Afghanistan	United Kingdom	1.0	1950	1.0	1920.0

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

Asked By: Korkut

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Answer 1

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

Answered By: Farid Fakhry

How can I generate a variable conditioning on different columns?

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