Extracting Specific Text Between Strings Using Python
In this blog post, we’ll learn how to extract a specific portion of text between two substrings in a given input string. This technique is useful in various scenarios, such as processing file paths, extracting data from logs, or handling any structured text data.
Problem Statement
Given a string, we want to extract the part of the text that is between two specified substrings, excluding the ending substring. For example, from the following path:
C:\\Example\\Projects\\DataProcessing\\user\\tasks\\_STTM\\Logs\\Account Data Logs\\Transaction_Details_Report.sql
we want to extract the part between \\Logs and .sql, which should result in:
Account Data Logs\\Transaction_Details_Report
Solution
We’ll use Python’s re module, which provides support for regular expressions, to achieve this. Regular expressions offer a powerful way to search for and manipulate text patterns.
Step-by-Step Guide
- Import the
reModule: This module provides functions to work with regular expressions. - Define the Function: Create a function that takes the input text, start string, and end string as arguments.
- Build the Regular Expression Pattern: Construct a pattern that matches the text between the start and end strings.
- Search for the Pattern: Use the
re.searchfunction to find the match. - Extract the Desired Text: If a match is found, extract and return the text between the start and end strings.
Here’s the Python code to accomplish this:
import re
def extract_text_between_strings(input_text, start_string, end_string):
# Create the regular expression pattern
pattern = re.escape(start_string) + "(.*?)" + re.escape(end_string)
# Search for the pattern in the input text
match = re.search(pattern, input_text)
# If a match is found, return the extracted text
if match:
return match.group(1)
else:
return None
# Example usage
input_text = "C:\\Example\\Projects\\DataProcessing\\user\\tasks\\_STTM\\Logs\\Account Data Logs\\Transaction_Details_Report.sql"
start_string = "\\Logs"
end_string = ".sql"
# Extract the text between the specified substrings
result = extract_text_between_strings(input_text, start_string, end_string)
print(result) # Output: Account Data Logs\Transaction_Details_Report
Explanation
- re.escape(start_string) and re.escape(end_string): These functions escape any special characters in the start and end strings to ensure they are treated as literal text in the pattern.
- (.*?): This non-greedy match captures any text between the start and end strings without including them.
Conclusion
By using regular expressions in Python, you can efficiently extract specific parts of text between two substrings. This method is versatile and can be applied to various text-processing tasks. Experiment with different input strings and patterns to fully understand the power of regular expressions.