/Python/Pandas dataframe apply function with multiple arguments

Pandas dataframe apply function with multiple arguments

Multiple args for pandas apply

df["col_added"] = df.apply(lambda x: add_a_b(x["col_1"], x["col_2"]), axis = 1)

Source: kite.com

Pandas dataframe apply function with multiple arguments

def some_func(row, var1):
    return '{0}-{1}-{2}'.format(row['A'], row['B'], var1)

df['C'] = df.apply(some_func(row, var1='DOG'), axis=1)

df


       A    B            C
0    foo    x    foo-x-DOG
1    bar    y    bar-y-DOG

-1

Source: stackoverflow.com

Similar codes

1 vote129 views2 answers
Data series to datetime
Python
0 vote128 views2 answers
Pygame surface
Python
2 votes126 views1 answer
Get local timezone python
Python
3 votes125 views2 answers
Raising custom exception python
Python
0 vote122 views1 answer
Computercraft turtle place block
Python
0 vote126 views1 answer
Django save another class data while saving a class
Python
1 vote127 views1 answer
Python repeating scheduler
Python
1 vote137 views1 answer
Python know the number of a loop
Python
0 vote136 views1 answer
Django http response 204
Python Django
0 vote136 views1 answer
Form a chakravyuh matrix python
Python