The negations of these sequences are also available by using the capital letter. \d matches a single digit character \w matches any alphabet, digit, or underscore \s matches a white space character (space, tab, enter) So if you meet a backslash in the RegEx pattern, chances are it is the syntax for a special sequence. Special sequences in RegEx starts with a backslash(\). We’ll start off with the simplest syntax in RegEx, the special sequences. So, don’t forget your “r”! RegEx Special Sequences Without typing “r”, one might need to type “\\\\” just for indicating a backslash(\). Besides that, it also helps us in making our pattern shorter. Thus, the raw string here is used to avoid confusion between the two.
This collides with Python’s usage of the backslash(\) for the same purpose in string lateral. Python RegEx use a backslash(\)to indicate a special sequence or as an escape character. In our example, we use this pattern in log.txt : r”\((+)\)”Īre you wondering why should we type an “r” before the string? “r” here stands for the raw string. Therefore, I have selected the most useful functions and characters that will help you to start implementing RegEx in your Python script. There are many useful functions and characters in the re library, yet learning everything might be overwhelming. print(phone_numbers) - Printing the list of phone numbers.phone_numbers.append(oup(1)) - Adding the customer’s phone number into the phone numbers list.result = re.search(pattern, line) - Searching for the phone number in the line.for line in file: - Iterating(going through) each line in the log.txt.with open(“log.txt”, “r”) as file: - Opening the file that we want to process.pattern = r”\((+)\)” - The pattern that we use to locate the phone number, we will go through what each symbols do later in this article!.
phone_numbers = - Preparing a list to store the phone numbers.import re - Importing the Regular Expressions library in Python.import re phone_numbers = pattern = r"\((+)\)" with open("log.txt", "r") as file: for line in file: result = re.search(pattern, line) phone_numbers.append(oup(1)) print(phone_numbers) To access the goodness of Regular Expressions in Python, we will need to import the re library. It’s a useful information and we can use it to our advantage. Observe that the phone numbers are located between the brackets “( )”. We can get the users’ phone numbers by first creating a pattern.
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