try: with open(file_path, 'r') as file: for line in file: emails = re.findall(email_pattern, line) email_list.extend(emails)
# Usage analyze_email_list('email_list.txt') This script assumes that the email list text file is named email_list.txt and is located in the same directory as the script. The script reads the file line by line, extracts email addresses using a regular expression, and then analyzes the email addresses.
# Email provider distribution providers = [email.split('@')[1] for email in email_list] provider_counts = Counter(providers) print("Email Provider Distribution:") for provider, count in provider_counts.items(): print(f"provider: count")
This is a basic example to get you started. Depending on your specific requirements, you may need to adjust the regular expression, add more features, or improve the existing features.
Here's a simple Python script to get you started:
try: with open(file_path, 'r') as file: for line in file: emails = re.findall(email_pattern, line) email_list.extend(emails)
# Usage analyze_email_list('email_list.txt') This script assumes that the email list text file is named email_list.txt and is located in the same directory as the script. The script reads the file line by line, extracts email addresses using a regular expression, and then analyzes the email addresses. email list txt yahoo hotmailaol gmail
# Email provider distribution providers = [email.split('@')[1] for email in email_list] provider_counts = Counter(providers) print("Email Provider Distribution:") for provider, count in provider_counts.items(): print(f"provider: count") try: with open(file_path, 'r') as file: for line
This is a basic example to get you started. Depending on your specific requirements, you may need to adjust the regular expression, add more features, or improve the existing features. Depending on your specific requirements, you may need
Here's a simple Python script to get you started: