Iterate int variable to do in operator check

I already referred the post here and here. Please don’t mark as duplicate. My python version is 3.8.8

I have a dataframe like as below

customer_id   r  f  m  h  y  
   1          4  3  3  3  3    
   2          5  4  2  1  4
   3          3  1  1  1  1
   4          2  2  2  2  2

Based on the code snippet found in this repository here, am trying to do the below

a) Assign a segment_label to each customer based on their r, f, m, h , y values

So, I was working on the below code. But the problem is am getting an error in the 1st if-clause. I already tried replacing in keyword with == symbol. But it doesn’t do the check and ends up in else clause for all records/customers

classes = []
classes_append = classes.append
cust = 'unique_key'
for row in df.iterrows():
    rec = row[1]
    print(rec)
    r = rec['r']
    f = rec['f']
    y = rec['y']
    p = rec['h']
    if (r in (4)) and (f in (4)) and (y in (2,3)) and (h in (3)): # I replaced `in` keyword with `==` symbol as well. The code works but it doesn't check the condition. So, ends up in else clause.
        classes_append({rec[cust]:'Champions'})
    elif (r in (4)) and (f in (4)) and (y in (1,)) and (h in (2,3)):
        classes_append({rec[cust]:'Short Tenure - Promising'})
    elif (r in (3,4)) and (f in (3,4)) and (y in (3,)) and (h in (1,2,3)):
        classes_append({rec[cust]:'Loyal Customers'})
    elif (r in (3,4,5)) and (f in (3,4,5)) and (y in (2,)) and (h in (1,2)):
        classes_append({rec[cust]:'Potential Loyalist'})
    elif (r in (3,4)) and (f in (3,4)) and (y in (1,)) and (h in (1)):
        classes_append({rec[cust]:'Short Tenure - Average'})
    elif (r in (2,)) and (f in (1,2,3)) and (y in (1,2,3)):
        classes_append({rec[cust]:'Needs Attention'})
    elif (r in (4)) and (f in (1,2)) and (y in (1,2,3)):
        classes_append({rec[cust]:'Occasional and New Customers'})
    elif (r in (1,)) and (y in (1,2,3)):
        classes_append({rec[cust]:"Lost"})
    else:
        print("hi")
        classes.append({0:[row[1]['r'],row[1]['f'],row[1]['m']]})
    accs = [list(i.keys())[0] for i in classes]
    segments = [list(i.values())[0] for i in classes]
    df['segment_label'] = df[cust].map(dict(zip(accs,segments)))

The error is

>Solution :

I think the problem is that (4) does not define a tuple with single item apparently hence you get TypeError: 'int' object is not iterable. That’s why it stops at the line

if (r in (4)) and (f in (4)) and (y in (2,3)) and (h in (3)):

Maybe try replacing tuples with lists as follows (e.g. here list of one item):

>>> r = 5
>>> r in [4]
False

so your first if statement will become

if (r in [4]) and (f in [4]) and (y in [2,3]) and (h in [3]):

Update: as The Great suggested in comments adding comma to single item tuple solved the problem. Perhaps that should be the correct answer.