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Скачать или смотреть Removing Lines with a Specific Character in AWK

  • vlogize
  • 2025-10-09
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Removing Lines with a Specific Character in AWK
awk to remove lines in file with character in itawk
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Описание к видео Removing Lines with a Specific Character in AWK

Learn how to efficiently use AWK to eliminate lines from a file that contain a specific character. This guide offers clear solutions to clean your data effortlessly.
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This video is based on the question https://stackoverflow.com/q/64775333/ asked by the user 'justaguy' ( https://stackoverflow.com/u/4668368/ ) and on the answer https://stackoverflow.com/a/64775412/ provided by the user 'RavinderSingh13' ( https://stackoverflow.com/u/5866580/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: awk to remove lines in file with character in it

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Removing Lines with a Specific Character in AWK: A Simple Guide

When working with data files, you may encounter situations where certain lines contain unwanted characters that need to be filtered out. One common challenge is removing lines that contain a specific character in a particular field of a file. For instance, if you want to eliminate lines where the fifth field contains an underscore (_), this can sometimes be tricky if the format of your data isn't straightforward. In this guide, we'll explore how to achieve this using awk, a powerful text processing tool in Unix and Linux systems.

The Problem

Let's consider a sample file with the following data:

[[See Video to Reveal this Text or Code Snippet]]

In this data, you might want to get rid of lines where the fifth field ($5) contains an underscore. The challenge here is ensuring that you properly identify and remove those unwanted lines without affecting the rest of your data. Some common commands tried by users, such as sed '/_/d', can sometimes delete more than intended, especially if there's an underscore present in other fields.

The Solution

Using AWK with Blank Spaces as Field Separators

A straightforward way to use awk for this task is as follows:

[[See Video to Reveal this Text or Code Snippet]]

Explanation:

-F'[[:blank:]]+ ': This option sets the field separator to one or more blank spaces, ensuring proper parsing of the columns in your data.

'$5!~/_/': This condition checks if the fifth field does not contain an underscore (_). If true, that particular line will be printed to the output by default.

Output of the Command

After executing the above command with the sample data, the output will be:

[[See Video to Reveal this Text or Code Snippet]]

As seen, the lines containing NRAS_3 and NLRP3_3 have been successfully removed.

Alternative Solution: Targeting the Last Field

If the character you want to filter out is consistently in the last field of your file, you can use this simplified command:

[[See Video to Reveal this Text or Code Snippet]]

Explanation:

'$NF!~/_/': In this command, $NF means "the last field." This condition checks if the last field does not have an underscore. Again, if true, that line is printed.

Wrap Up

Using awk provides a robust method to filter lines in a text file based on the presence of specific characters. Whether it's for cleaning up data or for preprocessing before analysis, knowing how to efficiently remove unwanted lines can save time and ensure accurate results. Keep these commands handy for your next data-cleaning task!

Feel free to experiment with these approaches on your datasets, and remember that awk is a powerful tool that can handle various data formats and conditions.

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