I have a dataset that looks like this:
Male    Name=Tony;  
Female  Name=Alice.1; 
Female  Name=Alice.2;
Male    Name=Ben; 
Male    Name=Shankar; 
Male    Name=Bala; 
Female  Name=Nina; 
###
Female  Name=Alex.1; 
Female  Name=Alex.2;
Male    Name=James; 
Male    Name=Graham; 
Female  Name=Smith;  
###
Female  Name=Xing;
Female  Name=Flora;
Male    Name=Steve.1;
Male    Name=Steve.2; 
Female  Name=Zac;  
###
I want to the change the list so it looks like this:
Male    Name=Class_1;
Female  Name=Class_1.1;
Female  Name=Class_1.2;
Male    Name=Class_1;
Male    Name=Class_1;
Male    Name=Class_1; 
Female  Name=Class_1;
###
Female  Name=Class_2.1; 
Female  Name=Class_2.2; 
Male    Name=Class_2; 
Male    Name=Class_2; 
Female  Name=Class_2;  
###
Female  Name=Class_3; 
Female  Name=Class_3; 
Male    Name=Class_3.1; 
Male    Name=Class_3.2; 
Female  Name=Class_3;
###
Each name has to be changed to the class they belong to. I noticed that in the dataset, each new class in the list is denoted by a ‘###’. So I can split the data set into blocks by ‘###’ and count the instances of ###. Then use regex to look for the names, and replace them by the count of ###.
My code looks like this:
blocks = [b.strip() for b in open('/file', 'r').readlines()]
pattern = r'Name=(.*?)[;/]'
prefix = 'Class_'
triple_hash_count = 1
for line in blocks:
    match = re.findall(pattern, line)
    print match
for line in blocks:
    if line == '###':
        triple_hash_count += 1
        print line 
    else: 
        print(line.replace(match, prefix + str(triple_hash_count))) 
This doesn’t seem to do the job - no replacements are made.
 
     
     
     
    