Pandas - 'Series' object has no attribute 'colNames' when using apply()

Question

I need to use a lambda function to do a row by row computation. For example create some dataframe

import pandas as pd
import numpy as np

def myfunc(x, y):
    r         


        

Answer 1

When you use df.apply(), each row of your DataFrame will be passed to your lambda function as a pandas Series. The frame's columns will then be the index of the series and you can access values using series[label].

So this should work:

df['D'] = (df.apply(lambda x: myfunc(x[colNames[0]], x[colNames[1]]), axis=1))