/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

-1 vote53 views1 answer
Python matrix determinant without numpy
Python
3 votes9 views1 answer
Centos v8.11.1 npm gyp err! stack error: can't find python executable "python", you can set the python env variable.
Python
0 vote43 views1 answer
ValueError: Tried to convert 'shape' to a tensor and failed. Error: None values not supported.
Python
0 vote60 views1 answer
Aes in django
Python Django
16 votes46 views6 answers
Python print statement
Python
12 votes45 views6 answers
Set python 3 as default mac
Python
0 vote55 views1 answer
%d%m%y python
Python
0 vote83 views2 answers
How to get a specific field in django
Python
4 votes59 views3 answers
Python fibbonacci
Python
23 votes56 views1 answer
Python hour from datetime
Python