How to compare two columns of the same dataframe?

Question

I have a dataframe like this:

 match_id inn1  bat  bowl  runs1 inn2   runs2   is_score_chased
    1     1     KKR  RCB    222  2      82          1
    2             


        

Answer 1

This is a good case for using apply.

Here there is an example of using apply on two columns.

You can adapt it to your question with this:

def f(x):    
   return 'yes' if x['run1'] > x['run2'] else 'no'

df['is_score_chased'] = df.apply(f, axis=1)

However, I would suggest filling your column with booleans so you can make it more simple

def f(x):    
   return x['run1'] > x['run2']

And also using lambdas so you make it in one line

df['is_score_chased'] = df.apply(lambda x: x['run1'] > x['run2'], axis=1)