pandas dataframe apply function with multiple arguments

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Jeannette
30 Apr 2016
1df["col_added"] = df.apply(lambda x: add_a_b(x["col_1"], x["col_2"]), axis = 1)
source
Finn
22 Jan 2020
1def some_func(row, var1):
2    return '{0}-{1}-{2}'.format(row['A'], row['B'], var1)
3
4df['C'] = df.apply(some_func(row, var1='DOG'), axis=1)
5
6df
7
8
9       A    B            C
100    foo    x    foo-x-DOG
111    bar    y    bar-y-DOG
12
source
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