Assign multiple columns pandas

Set dtype for multiple columns pandas

import pandas as pd

df = pd.DataFrame({'id':['a1', 'a2', 'a3', 'a4'],
  				   'A':['0', '1', '2', '3'],
                   'B':['1', '1', '1', '1'],
                   'C':['0', '1', '1', '0']})

df[['A', 'B', 'C']] = df[['A', 'B', 'C']].apply(pd.to_numeric, axis = 1)

Assign multiple columns pandas

import pandas as pd

df = {'col_1': [0, 1, 2, 3],
        'col_2': [4, 5, 6, 7]}
df = pd.DataFrame(df)

df[[ 'column_new_1', 'column_new_2','column_new_3']] = [np.nan, 'dogs',3]  #thought this wo

Source: edureka.co

Similar codes

2 votes198 views1 answer
Jupyter clear cell output programmatically
Python
0 vote197 views1 answer
Convert string ranges list python
Python
1 vote206 views1 answer
An array of dates python
Python
1 vote200 views1 answer
Python change base function
Python
96 votes211 views6 answers
Read json file
Python
0 vote205 views1 answer
Resize interpolation cv2
Python
6 votes181 views2 answers
Pandas exclude columns
Python
0 vote205 views1 answer
Python Remove all occurrences of a character from a string
Python
25 votes283 views3 answers
Startapp django
Python Django
4 votes213 views1 answer
Pandas transpose
Python