Zip Pandas Dataframes Into A New Dataframe

I have 2 dataframes: df_A country_codes 0 4 1 8 2 12 3 16 4 24 and df_B continent_codes 0 4 1

Solution 1:

The following code will do as you want :

pd.concat([df1, df2], axis=1)

Source

Output:

   country_codes  continent_codes
0              4                4
1              8                3
2             12                5
3             16                6
4             24                5

Solution 2:

From the comments:

I feel like this is too simple, but may I suggest:

df_A['continent_codes'] = df_B['continent_codes']
print(df_A)

Output:

   country_codes  continent_codes
0              4                4
1              8                3
2             12                5
3             16                6
4             24                5