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Скачать или смотреть How to Use cat and EOF in Gnuplot for Script Execution

  • vlogize
  • 2025-09-10
  • 3
How to Use cat and EOF in Gnuplot for Script Execution
How to use cat and EOF in gnuplot to create a file while executing the gnuplot scriptgnuplot
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Описание к видео How to Use cat and EOF in Gnuplot for Script Execution

Learn the step-by-step process to create a file in Gnuplot using `cat` and `EOF` during script execution and streamline your plotting tasks.
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This video is based on the question https://stackoverflow.com/q/62301077/ asked by the user 'kcb' ( https://stackoverflow.com/u/2265847/ ) and on the answer https://stackoverflow.com/a/62306919/ provided by the user 'meuh' ( https://stackoverflow.com/u/5008284/ ) 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: How to use cat and EOF in gnuplot to create a file while executing the gnuplot script

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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Mastering Gnuplot: Creating Files with cat and EOF During Execution

Gnuplot is a versatile tool for plotting data, but sometimes you may need to dynamically generate content during script execution. One common challenge among users is how to effectively use cat and EOF to create a script file and execute it within a Gnuplot session. If you’re facing this issue, you’re not alone; many users hit a wall when attempting to accomplish this task. This post will walk you through the problem and provide a clear solution so you can keep moving forward with your data processing.

The Problem at Hand

You want to create a file named for.sh while executing your Gnuplot script. This file should then be called within the Gnuplot script itself to set xtics dynamically. Here’s why it's beneficial:

Flexibility: Automating the creation of scripts allows you to adjust your plots based on various input data dynamically.

Efficiency: Instead of manually editing scripts each time you have new data, you streamline the process.

However, directly using cat with the EOF syntax can lead to errors like "invalid command," causing frustration. Let’s explore how to effectively tackle this issue.

The Solution

To avoid errors and create a script seamlessly during Gnuplot execution, follow these organized steps:

Step 1: Define Your Script Content

Instead of trying to use cat directly in your Gnuplot script, you can define your script with a data block. Here is how you can do it:

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

Step 2: Printing the Script to a File

Now that the content of for.sh is defined, you'll need to print this content to a file. In Gnuplot, this is done as follows:

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

This effectively writes the content of $MYSCRIPT into the for.sh file.

Step 3: Executing the Script

Finally, to use the newly created script within your Gnuplot script, execute it using:

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

Summary

Define script in a data block: Prevent errors related to syntax.

Print the script to a file: Use set print commands to output the contents correctly.

Execute the script: Set the x-tics by calling the script when needed.

Conclusion

By following these simple yet effective steps, you can harness the power of Gnuplot while also creating dynamic scripts as part of your plotting workflow. This method reduces manual intervention and minimizes the potential for errors, making your data visualization processes much smoother. Feel free to try this approach in your Gnuplot scripts, and watch your efficiency soar!

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