/Python/How to Create new dataframe columns from existing column

How to Create new dataframe columns from existing column

new_df = df.filter(like='n_') \
           .replace(0., np.inf) \
           .apply(lambda x: sorted(x), axis=1, result_type='expand') \
           .replace(np.inf, 0.0)

new_df.columns = ['new_1', 'new_2', 'new_3']

out = pd.concat([df, new_df], axis=1)

Source: stackoverflow.com

Similar codes

0 vote156 views1 answer
How to go to previous directory in os python
Python
0 vote140 views1 answer
Python filter function using lambda function as one of the parameters
Python
0 vote136 views1 answer
Convert the sklearn.dataset cancer to a DataFrame.
Python
1 vote137 views1 answer
Find order of characters python
Python
1 vote137 views1 answer
How to get prime numbers in a list in python using list comprehension
Python
1 vote135 views1 answer
No module named 'bidi'
Python
6 votes147 views3 answers
String format zero padded int python
Python
0 vote139 views1 answer
Semaphore in python
Python
0 vote138 views1 answer
Pandas remove item from dictionary
Python
2 votes287 views2 answers
Print list of list line by line python
Python