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Скачать или смотреть How to Replace Values in a CSV File Using PowerShell: Handling CSV Data with Ease

  • vlogize
  • 2025-10-07
  • 1
How to Replace Values in a CSV File Using PowerShell: Handling CSV Data with Ease
Replace values 0 and 50 in a column of a csv file using powershellwindowsexport to csvpowershell 4.0
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Описание к видео How to Replace Values in a CSV File Using PowerShell: Handling CSV Data with Ease

Discover how to efficiently replace values in a CSV file using PowerShell. Learn to convert negative numbers to zero and limit excessive values with our easy step-by-step guide.
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This video is based on the question https://stackoverflow.com/q/63372074/ asked by the user 'Fred' ( https://stackoverflow.com/u/14090831/ ) and on the answer https://stackoverflow.com/a/63851380/ provided by the user 'Doug Maurer' ( https://stackoverflow.com/u/4085331/ ) 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: Replace values 0 and 50 in a column of a csv file using powershell

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
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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Introduction

Working with CSV files is a common task for many data management and analysis jobs. For those using PowerShell, manipulating CSV files can be straightforward, but it can also lead to mistakes if you’re not careful. A frequent problem users face is how to replace certain values in a column based on specific conditions—in this case, changing all negative QOH (Quantity on Hand) values to 0 and capping any values over 50 to 50.

In this guide, we’ll break down a simple solution step-by-step to make these adjustments in a CSV file using PowerShell.

Understanding Your Requirements

Before diving into the PowerShell script, let’s clarify what we need to achieve:

Indicate the path to the CSV file: In this example, we assume the file is located at C:\TEMP\test.csv.

Column header details: The CSV has the following relevant columns: SKU, QOH, AVAIL, RRP, BC_id, Group, UPC.

Replacement logic:

Change any value in the QOH column that is less than 0 to 0.

Change any value in the QOH column that is greater than 50 to 50.

Now that we have a clear understanding of our requirements, let's move onto the solution.

The PowerShell Solution

Here is a simple PowerShell script that will successfully replace values based on the conditions defined above:

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

Breaking Down the Script

Import-CSV: This cmdlet reads the CSV file and converts it into a series of PowerShell objects for easy manipulation.

ForEach-Object: This cmdlet iterates over each object (row) in the CSV.

Conditional Logic:

The first if statement checks if the QOH value is less than 0. If so, it sets it to 0.

The elseif checks if the QOH value is greater than 50. If it is, it caps it at 50.

Export-CSV: Finally, this cmdlet writes the modified objects back to the CSV file, ensuring the data is saved correctly. The -NoTypeInformation parameter prevents type information from being saved in the CSV file.

Conclusion

With the provided PowerShell script, you can seamlessly adjust the values in your CSV file according to specified conditions. Such scripts are essential for anyone working with data management tasks, providing a clear way to maintain accurate and relevant data.

With just a few lines of code, you can prevent negative stock quantities and unreasonable high quantities in your dataset—keeping your inventory management efforts accurate and straightforward!

Feel free to modify the script as necessary to fit additional needs, like adding new conditions or working with different data files. Happy scripting!

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