Is it possible to add several columns at once to a pandas DataFrame?

Question

If I want to create a new DataFrame with several columns, I can add all the columns at once -- for example, as follows:

data = {\'col_1\': [0, 1, 2, 3],
             


        

Answer 1

If you don't want to create new DataFrame from additional_data, you can use something like this:

>>> additional_data = [[8, 9, 10, 11], [12, 13, 14, 15]]
>>> df['col3'], df['col4'] = additional_data
>>> df
   col_1  col_2  col3  col4
0      0      4     8    12
1      1      5     9    13
2      2      6    10    14
3      3      7    11    15

It's also possible to do something like this, but it would be new DataFrame, not inplace modification of existing DataFrame:

>>> additional_header = ['col_3', 'col_4']
>>> additional_data = [[8, 9, 10, 11], [12, 13, 14, 15]]
>>> df = pd.DataFrame(data=np.concatenate((df.values.T, additional_data)).T, columns=np.concatenate((df.columns, additional_header)))
>>> df
   col_1  col_2  col_3  col_4
0      0      4      8     12
1      1      5      9     13
2      2      6     10     14
3      3      7     11     15