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multiple args for pandas apply

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

def some_func(row, var1):
    return str(row['A']) + '-' + str(row['B']) + '-' + var1

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

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

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
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