/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 vote296 views1 answer
Intersection of 3 array in O(n) python
Python
0 vote307 views1 answer
Numpy array values not updateing
Python
1 vote322 views1 answer
Dashes seaborn
Python
0 vote316 views1 answer
* pattern by python
Python
0 vote344 views2 answers
Remove leading and lagging spaces dataframe python
Python
2 votes334 views1 answer
Sum all values of a dictionary python
Python
1 vote371 views2 answers
Install fasttext python
Python
0 vote351 views1 answer
Csv module remove header title python
Python
0 vote310 views2 answers
Avoid bad request django
Python
0 vote321 views1 answer
Install magic python 2
Python