/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 vote278 views1 answer
Python png library
Python
6 votes246 views2 answers
Change tkinter window name
Python
33 votes231 views2 answers
Find a largest number in function list python
Python
2 votes249 views1 answer
How i install jupyter notebook in a new conda virtual environment
Python
0 vote278 views1 answer
Excel write in row
Python
0 vote254 views1 answer
For i in array in range python
Python
21 votes260 views3 answers
Python datetime get date one week from today
Python
12 votes254 views2 answers
How to delete all pips
Python
16 votes273 views3 answers
List mean python
Python
2 votes240 views2 answers
Programm the fibonacci sequence
Python