📊 Pandas
Q. Which method removes all rows where any column is NaN in a DataFrame?
  • (A) dropna()
  • (B) fillna()
  • (C) replace()
  • (D) notna()
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✅ Correct Answer: (A) dropna()

Explanation: dropna() removes rows (or columns) that contain missing values (NaN).

Explanation by: Sikhar Chaudhary
dropna() removes rows (or columns) that contain missing values (NaN).

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