/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 vote199 views1 answer
Actualizar pip
Python
2 votes246 views1 answer
Selenium python enter text
Python
1 vote235 views1 answer
Display cv2 image in jupyter notebook
Python
0 vote253 views1 answer
Python not equal to symbol
Python
3 votes244 views1 answer
Finding 2 decimal places python
Python
0 vote230 views1 answer
Deine dict with same values
Python
3 votes254 views2 answers
Variance calculation python manually
Python
0 vote245 views1 answer
Pandas gropu by
Python
0 vote239 views1 answer
Python how to change a point in a multidimensional list
Python
0 vote241 views1 answer
Python soma números
Python