SAS if-then Statement to Python Vectorized Approach - My Values are Not Matching Up

I am trying to replicate some values in a dataset. The original data that I am running my code against for verification purposes has two categories across multiple groups, like so:

grp5
0                       3941
1                        459

grp6
0                       4120
1                        280

grp7
0                       4300
1                        100

The original code that was used to create the categories across groups was written in SAS, a straightforward if-then macro statement, see below:

%macro E
IF 4 <= n <= 5
    THEN grp5 = 1; 
ELSE IF 2 <= n <= 3
    THEN grp6 = 1;
ELSE grp7 = 1;
%mend E

With my Python code I should also get the same number of cases in each category across groups, however, there are some discrepancies between the values I am getting and I'm not sure why. Below is my Python script and the values I am getting.

# Initialize columns
df['grp5'] = 0
df['grp6'] = 0
df['grp7'] = 0

# create boolean conditions
cond5 = df['n'].between(4, 5)
cond6 = df['n'].between(2, 3)

# Apply conditions
df.loc[cond5, 'grp5'] = 1
df.loc[~cond5 & cond6, 'grp6'] = 1
df.loc[~cond5 & ~cond6, 'grp7'] = 1


grp5
0                  3878
1                   522

grp6
0                  2437         
1                  1963     

grp7
0                  2485         
1                  1915