Multi strip
Function: Multi strip
This function helps you clean up text by removing specific characters or phrases from the beginning or end of a larger piece of text. It's useful for tidying up data, removing unwanted prefixes or suffixes, or preparing text for further processing.
Input,
- Text to Modify (Text): This is the main piece of text you want to clean.
- Texts to Remove (List of Text): This is a list of one or more specific characters or phrases that you want to remove from the beginning or end of your "Text to Modify".
Output,
- Result (Text): This is the cleaned-up text after the specified "Texts to Remove" have been taken out. By default, this will be stored in a variable named "RESULT".
Execution Flow,
Real-Life Examples,
Here are some practical ways you can use the "Multi strip" function:
Example 1: Cleaning up product codes
Imagine you have product codes that sometimes come with extra symbols at the beginning or end.
- Inputs:
- Text to Modify:
---PROD-12345--- - Texts to Remove:
["-"]
- Text to Modify:
- Result: The
Resultvariable will containPROD-12345. The function removed all leading and trailing hyphens.
Example 2: Removing common delimiters from data
You might receive data where fields are enclosed in brackets or quotes that you need to remove.
- Inputs:
- Text to Modify:
[[Important Message]] - Texts to Remove:
["[", "]"]
- Text to Modify:
- Result: The
Resultvariable will containImportant Message. Both the opening and closing brackets were removed.
Example 3: Standardizing user input
If users sometimes add "Mr." or "Ms." to names, and you want to remove these titles for a standardized database entry.
- Inputs:
- Text to Modify:
Mr. John Doe - Texts to Remove:
["Mr. ", "Ms. "]
- Text to Modify:
- Result: The
Resultvariable will containJohn Doe. The "Mr. " prefix was successfully removed.