/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

5 votes157 views1 answer
Pandas for loop after loc reset_index
Python
0 vote154 views1 answer
Python list divide
Python
0 vote162 views1 answer
Python - count number of occurence in a column
Python
0 vote162 views1 answer
Lenet 5 keras
Python
1 vote169 views3 answers
How to add trailing zeros in python
Python
0 vote109 views1 answer
Keras.utils.plot_model keeps telling me to install pydot and graphviz
Python
0 vote153 views1 answer
Log log grid python
Python
0 vote144 views1 answer
String to list in python comma
Python
0 vote219 views1 answer
QuizListView login required django
Python Django
0 vote151 views1 answer
Micropython free space esp32 esp2866
Python