/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

0 vote247 views1 answer
How to create a python virtual environment in linux
Python
2 votes305 views1 answer
How to represent equation in Pytho
Python
72 votes278 views5 answers
How to run for loop in python
Python
0 vote302 views2 answers
Pandas column rgeex doesnot contain
Python
22 votes292 views4 answers
How to remove all characters after a specific character in python?
Python
0 vote283 views1 answer
Imagedatagenerator split train test
Python
0 vote324 views1 answer
Import "reportlab" could not be resolved django
Python Django
2 votes254 views4 answers
Python switch
Python
0 vote286 views1 answer
Write python command to display your name
Python
0 vote351 views1 answer
Find the closest smaller value in an array python
Python