/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

15 votes237 views4 answers
How to find last element in array python
Python
0 vote261 views1 answer
How to set and run flask app on terminal
Python Flask
1 vote193 views1 answer
Discord python command alias
Python
2 votes197 views1 answer
Pytorch plt.imshow
Python
17 votes203 views4 answers
Pip install python 3
Python
0 vote208 views1 answer
Syntax of calloc
Python
1 vote195 views1 answer
Accessing dictionary elements in python
Python
1 vote249 views3 answers
Recursive function
Python
23 votes204 views6 answers
How to take input for list in python
Python
51 votes204 views6 answers
Python logging to file
Python