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 votes159 views2 answers
What is role of ALLOWED_HOSTs in Django
Python Django
0 vote158 views1 answer
Python get number of days
Python
-1 vote152 views1 answer
Email validation using django
Python Django
0 vote124 views1 answer
Huggingface transformers change download path
Python
-1 vote173 views1 answer
Sort pandas dataframe by specific column
Python
0 vote127 views1 answer
Transfer sound to hz with python
Python
37 votes142 views6 answers
Upgrade package python
Python
0 vote112 views1 answer
Python pseudocode for loops
Python
0 vote120 views1 answer
Ask for sudo privilege from python in macos
Python
11 votes125 views3 answers
Fibonacci recursive python
Python