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Filtering Rows and Selecting Columns (The Right Way)

TL;DR AI

Key summary

2 min read
  1. A Pandas tutorial shows how to select rows and columns with both position-based `iloc` and label-based `loc`.

  2. It highlights that `loc` uses labels and includes the end of a slice, while `iloc` works by row position.

  3. After filtering a DataFrame, index labels may no longer match row positions, so `iloc`/`loc` assumptions can break.

  4. Using the right selector makes filtering, column extraction, and slicing more accurate and easier to read.

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