Two dataframe values to one function

Question

I am trying to send the values from two columns to a function to return one value. Example:
import pandas as pd
def new(a , b):
newt = a*b
return newt
df = pd.DataFrame([[25.6, 22, 17, 9],
[3, 4, 18, 1],
[17, 4, 33.3, 5],
[7, 3, 9, 4]],
columns=list('ABCD'))
df[‘New calc’] = new(df[‘A’], df[‘B’]).map()

Answer 1

Based on your example, this is how you can add a new column as a calculation from two existing ones:
df['New calc'] = list(map(new, df['A'], df['B']))
I think it should work regardless what happens inside the actual transformation function, it can be an API call, map should take care of cycling through the values.

Answer 2

I suppose that is a poor example. The project I am working on is on an intranet at work, so I can’t replicate it here.
I’m not simply performing a new calculation. The values I need to send make and API call are in two different columns, and that will return just one new value.