Python Regular Expression

• \s — White space characters
• \S — Non-white space characters
• \w — Word characters
• \W — Non-word characters
• \d — Digit characters
• \D — Non-digit characters

• match() - Determine if the RE matches at the beginning of the string.
• search() - Scan through a string, looking for any location where this RE matches.
• findall()- Find all substrings where the RE matches and returns them as a list.
• finditer()- Find all substrings where the RE matches and returns them as an iterator.

• group() Return the string matched by the RE
• start() Return the starting position of the match
• end() Return the ending position of the match
• span() Return a tuple containing the (start, end) positions of the match

1. Now I’m giving you some examples of regular expressions in Python.
   1. import re  
   2. message = 'call me at 9785959495'  
   3. regex = re.compile(r'\d+')  
   4. number = regex.search(message)  
   5. print(number.group())  
      
   Output: 9785959495
    
   
    
   According to the above Example show library re is useful for finding numbers in the message. r’\d+’ here r denotes this is a line and r does not perform escape conversion like \d and \d means search digits and + means total digits.
    
2. Getting All digits from particular statements
   1. import re  
   2. message = 'call me at 9785959495 or 9929892278'  
   3. regex = re.compile(r'\d+')  
   4. number = regex.findall(message)  
   5. print(number) 
      
   Output : ['9785959495', '9929892278']
    
   
    
3. Getting in multiple groups value
   1. message = 'call me at 9785959495-9929892278'  
   2. regex = re.compile(r'(\d+)-(\d+)')  
   3. number = regex.search(message)  
   4. number.group() 
      
   Output : '9785959495-9929892278'
   1. number.group(1) 
      
   Output: 9785959495
   1. number.group(2) 
      
   Output: 9929892278
    
   
    
   

Conclusion