with pandas read a csv named test1.csv then extract column named resourcesAffected.s3Bucket.tags and loop through each value and extract every text found it after ': ' and stop in the next 'ñ' and print

import pandas as pd

def extract_tag(tag):
    start = tag.find(': ')
    end = tag.find('ñ')
    if (start > -1) & (end > -1):
        t = tag[start + 2:end]
        return t

def main():
    df = pd.read_csv('test1.csv')
    df.resourcesAffected.s3Bucket.tags.apply(extract_tag)
    
    
if __name__ == '__main__':
    main()