Скачать или смотреть How to Implement an Auto-Completer in Newly-Created QTableWidget Cells with PyQt5

Discover how to seamlessly add `auto-completion` functionality in your PyQt5 QTableWidget, even for new rows and multiple columns!
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How to Implement an Auto-Completer in Newly-Created QTableWidget Cells with PyQt5

When developing applications using PyQt5, particularly with a QTableWidget, you may find yourself in need of an auto-completion feature within your table cells. This functionality can enhance user experience by providing suggestions based on what the user is typing. However, a common challenge arises when dealing with dynamically added rows – how can you ensure that this auto-completer feature extends seamlessly into newly-created cells? Additionally, how can you modify the functionality to support auto-completion in different columns? In this guide, we dive deeper into solving these two inquiries.

Understanding the Problem

You're likely faced with the following challenges:

Preserving Autocompleter Functionality: You want new rows added to your QTableWidget to inherit the same auto-completion capability as existing rows.

Applying Auto-completion Across Multiple Columns: The auto-completion feature should not just be limited to one column but should be extendable to other columns, such as technology options in the second column.

The Solution Explained

To tackle both challenges, we can follow a systematic approach. Here’s a breakdown of the solution.

Step 1: Update the TableItemCompleter Class

We need a tailored version of the TableItemCompleter class that can handle multiple columns and their respective completions. Here's the updated code for the class:

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

Step 2: Modify the TableWidget Class

Next, we extend the TableWidget class to support the completion functionality upon adding new rows and across multiple columns.

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

Explanation of the Code

Completion Keys: We maintain a dictionary mapping each column index to its respective data key (e.g., 'LOCATION', 'TECHNOLOGY'). This ensures our completer knows what data to pull based on the column.

Dynamic Completion Mapping: The completionMap is generated dynamically based on the columns present in your DataFrame (df). Each column gets populated with unique values which will be used for suggestions.

Setting Item Delegate: After creating the QTableWidget, we set the item delegate for the entire table which enables the auto-completer for all relevant columns.

Final Thoughts

By following the steps above, you can successfully implement an auto-completion feature in your QTableWidget using PyQt5. This setup not only preserves the functionality for newly created rows but also allows you to expand auto-completion across multiple columns with ease.

Happy coding! If you have any questions or run into issues, feel free to leave a comment below!