How To Update/create Column In Pandas Based On Values In A List

So, here is my dataframe import pandas as pd cols = ['Name','Country','Income'] vals = [['Steve','USA',40000],['Matt','UK',40000],['John','USA',40000],['Martin','France',40000],] x

Solution 1:

You need numpy.where with condition with isin:

x['Continent'] = np.where(x['Country'].isin(europe), 'Europe', 'Not Europe')
print (x)
     Name Country  Income   Continent
0   Steve     USA   40000  Not Europe
1    Matt      UK   40000      Europe
2    John     USA   40000  Not Europe
3  Martin  France   40000      Europe

Solution 2:

Or you can using isin directly

x['New Column']='Not Europe'
x.loc[x.Country.isin(europe),'New Column']='Europe'

Out[612]: 
     Name Country  Income  New Column
0   Steve     USA   40000  Not Europe
1    Matt      UK   40000      Europe
2    John     USA   40000  Not Europe
3  Martin  France   40000      Europe