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Скачать или смотреть How to Dynamically Print Arguments Used in a Function Call in Python

  • vlogize
  • 2025-09-04
  • 0
How to Dynamically Print Arguments Used in a Function Call in Python
How to dynamically print the arguments used in a function call?pythonpython 3.x
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Описание к видео How to Dynamically Print Arguments Used in a Function Call in Python

Learn how to dynamically print variable names and their values in Python function calls without hardcoding them.
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This video is based on the question https://stackoverflow.com/q/64760009/ asked by the user 'Lamp' ( https://stackoverflow.com/u/11395701/ ) and on the answer https://stackoverflow.com/a/64760166/ provided by the user 'J_H' ( https://stackoverflow.com/u/8431111/ ) 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 dynamically print the arguments used in a function call?

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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How to Dynamically Print Arguments Used in a Function Call in Python

Have you ever wondered how to make your debugging process easier in Python? Sometimes, you may want to print not just the values of your variables but also their names as part of function calls. For example, you have a debug function, and you wish to output the variable names alongside their values. Let's dive into this common issue and explore how to achieve your desired output seamlessly.

The Problem

Consider the following snippet of Python code:

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

You want the debug function to print:

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

However, your current function looks like this:

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

This would output:

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

As you can see, the variable names aren't displayed correctly. You tried using locals() in your function but weren't able to achieve the desired result. Let's explore how you can correctly print the variable names along with their values without hardcoding them in your function.

The Solution

To solve this problem effectively, you need to pass the variable names and values into your debug function in a way that retains their names. A great method to achieve this is by using keyword arguments (**kwargs). Here’s how you can implement it:

Step-by-Step Implementation

Define Your Function:

Below is the modified version of the debug function:

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

Calling the Function:

When you call the function, pass the variables explicitly using their names, like so:

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

The Output

This will generate the output you desire:

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

Why This Works

Keyword Arguments: By using **kwargs, you allow the function to accept any number of keyword arguments. This means you can pass the variable names directly without worrying about their values being hardcoded.

Pretty Print: The pprint module allows for an organized output, making it much easier to read, especially when dealing with multiple variables.

Conclusion

By leveraging the power of keyword arguments in Python, you can easily print both the names and values of your variables in function calls without manually entering the variable names each time. This approach not only makes your debugging process more efficient but also keeps your code clean and maintainable.

Give it a try with your own variable names and see how much simpler debugging can be!

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