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Скачать или смотреть Resolving SyntaxError in Python 2: A Step-by-Step Guide to Fixing Your Code

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  • 2025-09-17
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Resolving SyntaxError in Python 2: A Step-by-Step Guide to Fixing Your Code
SyntaxError: only named arguments may follow *expression - How to do in Python 2pythonpyspark
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Описание к видео Resolving SyntaxError in Python 2: A Step-by-Step Guide to Fixing Your Code

Discover how to fix the `SyntaxError: only named arguments may follow *expression` in Python 2. Follow our easy guide to modify your code for successful execution.
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This video is based on the question https://stackoverflow.com/q/63018572/ asked by the user 'LLL' ( https://stackoverflow.com/u/10241161/ ) and on the answer https://stackoverflow.com/a/63018702/ provided by the user 'Raghu' ( https://stackoverflow.com/u/11237834/ ) 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: SyntaxError: only named arguments may follow *expression - How to do in Python 2

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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.

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Resolving SyntaxError in Python 2: A Step-by-Step Guide to Fixing Your Code

When working with Python, encountering errors can be frustrating, especially if you are new to the language. One such common error in Python 2 is the SyntaxError: only named arguments may follow *expression. This can occur when trying to use the unpacking operator (*) in your function calls, leading to unexpected syntax issues. In this guide, we will dive into a specific example of this error and show you how to resolve it effectively.

Understanding the Error

Let's first set the scene. Imagine you are working with a PySpark DataFrame and have come across the following line of code:

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

When you run this code, you encounter the following error message:

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

This error is essentially telling you that the syntax you've used doesn't conform to what Python expects after unpacking arguments with the * operator. Let’s take a closer look at the code to understand why that might be happening.

Why This Error Occurs

In Python, the * operator allows you to unpack iterables into positional arguments. However, when you use it in conjunction with other positional arguments, especially if you're trying to append a more complex structure (like a function call), Python 2 requires all arguments that come after the *expression to be named arguments. In our example, F.col("fields.*") is seen as a positional argument following the unpacked list. This violates the rule, triggering the SyntaxError.

How to Fix It

To resolve this issue, you need to adjust your approach slightly. Instead of trying to mix unpacked arguments and direct function calls, you'll consolidate your selection criteria into a single list. Here's how to do this effectively:

Step-by-Step Solution

Create a List for Your Select Expressions:
Combine your existing column selection with the additional expression you need using list concatenation.

Modify Your Code:
Here’s how the updated code should look:

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

Explanation of the Fix

List Comprehension: The first part of the expression gathers all columns in df1 except for 'fields'.

Concatenation: The second part appends the expression F.col("fields.*") as an element in the list. This method ensures that both components are part of the same list, which is correctly unpacked by the * operator in the select method.

Conclusion

By following the steps outlined above, you should now be able to resolve the SyntaxError: only named arguments may follow *expression error in your Python 2 codes. Adapting your syntax to accommodate how positional and keyword arguments work in Python will help avoid this error in the future. Don’t let syntax issues discourage you, because with a bit of practice, you'll become more proficient in navigating Python's nuances!

If you have any further questions or need assistance, feel free to reach out in the comments. Happy coding!

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