# import necessary libraries
import pandas as pd
import re

# create a sample pandas series
emails = pd.Series(['[email protected]', 'invalid email', \
                    'fake_email.com', '[email protected]'])

# define regex pattern
pattern = r'[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'

# use list comprehension to filter valid emails
valid_emails = [email for email in emails 
                if re.match(pattern, email)]

# print results
print(valid_emails)