/Python/Python pandas apply function that returns multiple columns

Python pandas apply function that returns multiple columns

Pandas apply output multiple columns

df = pd.DataFrame(np.random.randint(0,10,(10,2)), columns=["random", "a"])
df[["sq_a","cube_a"]] = df.apply(lambda x: [x.a**2, x.a**3], axis=1, result_type="expand")

Source: stackoverflow.com

Pandas apply output multiple columns

>>> appiled_df = df.apply(lambda row: fn(row.text), axis='columns', result_type='expand')
>>> df = pd.concat([df, appiled_df], axis='columns')

Source: stackoverflow.com

Similar codes

2 votes318 views1 answer
Get input pandas
Python
5 votes336 views4 answers
Dropna for specific column pandas
Python
0 vote346 views1 answer
How to read json file from s3 bucket into aws glue job
Python
0 vote344 views1 answer
Malier module python
Python
0 vote346 views2 answers
Looping over folder to extract zip winrar python
Python
0 vote334 views1 answer
Django Abstract base classe
Python
0 vote358 views1 answer
Jupyter early exit cell
Python
0 vote486 views2 answers
Blog in django
Python Django
1 vote338 views1 answer
Python print dict new line
Python
1 vote316 views1 answer
Return json with flask
Python