In text preprocessing we were finding pattern of 'data-to-infinity' it is the same process but we will find email pattern like 'datatoinfinity@gmail.com'.
So email contain special character, Lower case alphabet, upper case alphabet and digit or we can say alphanumeric value.
mail= datatoinfinity@hotmail.com
pattern= \w]+@[\w]+.[\w]+
import re mail='datatoinfinity@hotmail.com' pattern='[\w]+@[\w]+.[\w]+' print(re.search(pattern,mail))
Output:
Pattern=[\w]+@[\w]+.[\w]
Group= [username]@[domain].[extension]
Basically we made pattern on basis that first username came in any email then domain like gmail,hotmail,yahoo etc then extension like .com,.in,.org.
If we use group() in search() the code will return the pattern string.
import re mail='datatoinfinity@hotmail.com' pattern='[\w]+@[\w]+.[\w]+' print(re.search(pattern,mail).group())
Output: datatoinfinity@hotmail.com
Email with Specific domain
import re mail1='datatoinfinity@hotmail.in' mail2='dottyexy@gmail.com' pattern='[\w]+@(gmail).(com)' match1=re.search(pattern,mail1) match2=re.search(pattern,mail2) print(match1) print(match2)
Output: None
pattern='[\w]+@(gmail).(com)'
Email with multiple domain
import re mail1='datatoinfinity@hotmail.in' mail2='dottyexy@gmail.com' mail3='littleprincess@gmail.org' pattern='[\w]+@(gmail).(com|in|org)' match1=re.search(pattern,mail1) match2=re.search(pattern,mail2) match3=re.search(pattern,mail2) print(match1) print(match2) print(match3)
None
pattern='[\w]+@(gmail).(com|in|org)'
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