/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 vote366 views1 answer
Findout not common values between two data frames
Python
0 vote291 views1 answer
Python arcade sound
Python
0 vote297 views1 answer
Python - change the bin size of an histogram+
Python
0 vote309 views1 answer
Question command python
Python
2 votes314 views1 answer
Set http response content type django
Python Django
0 vote329 views1 answer
Filter field set in django formds
Python Django
0 vote319 views1 answer
Link python3 to python3.7
Python
26 votes299 views1 answer
Dict from two lists
Python
0 vote293 views1 answer
Handle 404 in requests python
Python
2 votes304 views1 answer
Python check if character is letter
Python