How to update/create column in pandas based on values in a list

Question

So, here is my dataframe

import pandas as pd
cols = [\'Name\',\'Country\',\'Income\']
vals = [[\'Steve\',\'USA\',40000],[\'Matt\',\'UK\',40000],[\'John\',\'U         


        

Answer 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

Answer 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