Catalog rows according to type conditions

Question

I have a given dataFrame with four columns -

X1	X2	X3	X4
1	1.2	1.2	2
1	1.3	1.2	1.2
1	3.2	4.2	1
1.9	1.2	5.4	3

I want to add a new column by this condition - if X1 and X4 are integers - so 1, else 0 as "bug".

I try this:

x = []
for column in df:
        if isinstance(df['T1'][i], int) == True and isinstance(df['T4'][i], int) == True:
            x.append(0)     
        else: 
            x.append(1)   

Output:

X1	X2	X3	X4	bug
1	1.2	1.2	2	0
1	1.3	1.2	1.2	1
1	3.2	4.2	1	0
1.9	1.2	5.4	3	1

Any suggestions?

Thanks!

Answer 1

df['new_column'] = df.apply(lambda x: 1 if isinstance(x['X1'],int) and isinstance(x['X4'],int) else 'bug', axis=1)