Informatics Practices

To skip NaN values in a calculation, you can specify …………… attribute.

  1. NaN
  2. NA
  3. skipna
  4. all of these

Python Pandas

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Answer

skipna

Reason — The skipna attribute in Pandas is used to skip (exclude) NaN, NA, or null values when performing calculations.

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