Regardless of the way the phone number is entered, the capture groups can be used to breakdown the phone number so you can process it in your code. In this section, we are going to validate the phone numbers. Steps of Regular Expression Matching. A valid mobile number is a ten digit number starting with a 7, 8 or 9. Do try with the phone numbers in your country before … Now that you have specified the regular expressions for phone numbers and email addresses, you can let python’s re module do the hard work of finding all the matches on the clipboard. 4)dashes between parts. There are too many variables to make this work around the world. result = re.findall('111-1234567', text) The above code returns ‘111–1234567’. Group1: Country Code (ex: 1 or 86) Group2: Area Code (ex: 800) Group3: Exchange (ex: 555) Group4: Subscriber Number (ex: 1234) Group5: Extension (ex: 5678) While there are several steps to using regular expressions in Python, each step is fairly simple. The “re” module provides regular expression matching operations, which I will be using to create a validation rule for phone numbers and email addresses (Link to more information on re). regex for phone number match a phone number. import re text = 'I have called the service desk 100 times and nobody replies to me. As the format of phone numbers can vary, we are going to make a program that can identify such numbers: +91-1234-567-890 … Phone number found: 415-555-4242. Import the regex module with import re. There are many useful functions and characters in the re library, yet learning everything might be overwhelming. This is a generalized expression which works most of the time. With all of this in mind, let’s look at the regular expression again after breaking it into its pieces. A quick explanation with Python examples is available here.You could also go through the link below to read more about regular expressions in Python. 2)space between different parts of the phone number. Therefore, I have selected the most useful functions and characters that will help you to start implementing RegEx in your Python script. The shortest international phone numbers in use contain seven digits. Regular expressions are a key concept in any programming language. This regular expression matches 10 digit US Phone numbers in different formats. Now that you have specified the regular expressions for phone numbers and email addresses, you can let Python’s re module do the hard work of finding all the matches on the clipboard. Create a Regex object with the re.compile() function. My number is 111-1234567!' The pyperclip.paste() function will get a string value of the text on the clipboard, and the findall() regex method will return a … Some examples are 1)area code in paranthesis. I'm learning regex and I would like to use a regular expression in Python to define only integers - whole numbers but not decimals. Validate mobile number using Regular Expression in Python. 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