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.