How to apply custom function to pandas data frame for each row

Question

I want to apply a custom function and create a derived column called population2050 that is based on two columns already present in my data frame.

import pandas          


        

Answer 1

You were almost there:

facts['pop2050'] = facts.apply(lambda row: final_pop(row['population'],row['population_growth']),axis=1)

Using lambda allows you to keep the specific (interesting) parameters listed in your function, rather than bundling them in a 'row'.