Remove Lines Containing String

The quickest way to clean the list of items

PicoToolkit lets you quickly clear a list of text items by removing all the lines containing a specific string or pattern.

The tool will scan the provided list and delete all the lines matching the pattern.

If you wish to filter the list, select from the menu Remove -> Lines containing.

The resulting list will have all the matches removed.

Example usage

Imagine you have the following list of books:

• Project Hail Mary by Andy Weir
• Dune by Frank Herbert
• The Martian by Andy Weir
• Fahrenheit 451 by Ray Bradbury
• Artemis by Andy Weir

If you wish to remove books writen by Andy Weir from the list:

1. Select Remove -> Lines containing
2. Type pattern: Andy Weir
3. Click Remove.

As the result you will get:

• Dune by Frank Herbert
• Fahrenheit 451 by Ray Bradbury

List of sitiations when you may need to remove lines containg particular string.

1. Log files:
   When working with log files that contain a lot of information, it can be helpful to remove lines that contain error messages or other irrelevant information. This can make it easier to identify the root cause of any issues.
2. Email threads:
   When working with long email threads, it can be helpful to remove lines that contain signatures, greetings, or other non-essential information. This can make it easier to focus on the actual content of the email.
3. Data cleaning:
   When cleaning data for analysis, removing lines containing missing values or other errors may be necessary. This can help ensure the data is accurate and ready for analysis.
4. Web scraping:
   When scraping data from websites, removing lines containing irrelevant information, such as headers or footers, may be necessary. This can help to ensure that the scraped data is accurate and useful.
5. Code reviews:
   When reviewing code, removing lines containing comments or other non-essential information can be helpful. This can make it easier to focus on the actual code and identify any issues or areas for improvement.
6. Data privacy:
   When handling sensitive data, it may be necessary to remove lines that contain personal information, such as names or addresses. This can help to protect the privacy of individuals whose data is being processed.
7. Out-of-stock items:
   When analyzing product sales, it can be helpful to remove lines that contain information about items that are out of stock. This can help to ensure that the examination is focused on items that are currently available for sale.
8. Returns and refunds:
   When analyzing product sales, removing lines containing information about returns or refunds can be helpful. This can help to ensure that the investigation is focused on actual sales rather than returns or cancellations.
9. Promotions and discounts:
   Removing lines containing information about promotions or discounts can be useful when analyzing product sales. This can help ensure that the analysis is focused on actual sales rather than sales made with a discount or promotion.
10. Non-relevant products:
    When analyzing product sales, it can be helpful to remove lines containing information about non-relevant products, such as products not part of the main product line. This can help to guarantee that the analysis is focused on the main product line.
11. Test orders:
    When analyzing product sales, removing lines containing information about test orders or orders that were not intended for sale can be beneficial. This can help to ensure that the examination is focused on actual sales rather than test orders or other non-relevant information.

Similar tools

For more complex use cases PicoToolkit provides you more advaned list filter.