PANDAS Python | Contain specific value in specific position

I’m trying to select just the rows that on the column "Cuenta" contain "05" in the third and fourth position , for example : 51050300 , 51050600

I’m using this code:

pattern=r'..05*' 

df[df['Cuenta'].str.contains(pattern)]

But it doesn´t work, How can I do it?

>Solution :

You have to change your pattern:

pattern = '^..05'  # ^ means from the begin string

>>> df['Cuenta'].astype(str).str.contains(pattern)
0     True
1     True
2    False
3    False
4     True
5     True
6    False
7    False
8    False
Name: Cuenta, dtype: bool