Day 16 - Pandas get_dummies() Update: Why It Matters

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Context:

While working with Pandas, I discovered a subtle but important change in the get_dummies() method that impacts how categorical encoding is handled.

What I Learned:

  • In older versions of Pandas, get_dummies() returned 1s and 0s for categorical data.
  • In newer versions, the default return values are now True and False.
  • This change reflects a shift toward boolean representation for better clarity and consistency.
  • Interestingly, most LLMs (Large Language Models) still generate code using 1s and 0s because they were trained on older Pandas versions and haven’t adapted yet.

Why It Matters for QA / AI Testing:

  • Outdated code examples can lead to unexpected behavior in automation scripts.
  • Testers need to validate encoding logic when working with categorical data in ML pipelines.
  • Always check the latest documentation to avoid compatibility issues.

My Takeaway:

Tools evolve. Code examples may lag behind. Always verify with official documentation before implementing.









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