Pandas Deprecation removal

[rhanka]

Summary by CodeRabbit

• Bug Fixes

  • Enhanced data handling in the API methods for improved performance and reliability.
  • Improved handling of missing values in data processing functions.

• New Features

  • Streamlined DataFrame transformations for clearer and more efficient data processing.

• Refactor

  • Replaced inefficient methods with more appropriate techniques for data manipulation (e.g., using apply instead of applymap).
  • Simplified logic across multiple methods for better readability and maintainability.

[coderabbitai[bot]]

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Walkthrough

The recent changes streamline data processing across several components by replacing inefficient methods with more efficient alternatives. Key modifications involve switching from applymap to apply and map, enhancing DataFrame manipulation, and refining numerical data handling to improve clarity and performance. A static identifier replaces dynamic generation in the Makefile, simplifying the build process. Overall, these updates enhance code maintainability and readability.

Changes

Files	Change Summary
Makefile	Changed id variable assignment from a dynamic base64 string generation to a static string myid, simplifying the build process.
code/api.py	Replaced applymap with apply and map for more efficient DataFrame column handling in post and put methods, improving performance and clarity in data transformations.
code/recipes.py	Enhanced data processing in prepare_categorical and prepare_numerical methods by updating missing value handling and using np.where instead of applymap, improving robustness and performance.

Poem

In the fields of code so bright,
Changes hop with pure delight,
Data dances, swift and free,
Processing flows like a gentle breeze.
“My ID’s set!” the rabbit grins,
As clarity wins, and performance spins! 🐇✨

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