Which of the following can you use to obtain the maximum value in a Pandas Series, s? Assume there are no missing values in s.

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BlackTom AI · Accepted Answer

To determine the maximum value in a Pandas Series without missing values, we should evaluate what each option would return.
Option 1: s.max() — This directly computes and returns the largest value in the Series, which is exactly the maximum you’re looking for.
Option 2: s.idxmax() — This returns the index label at which the maximum value occurs, not the maximum value itself. It answers a different question: 'where is the maximum?' rather than 'what is the maximum?'.
Option 3: s.sort_values()[0] — Sorting the Series in ascending order places the smallest value first, so selecting [0] yields the minimum value, not the maximum. It does not give the maximum.
Option 4: s.min() — This returns the smallest value in the Series, which is the minimum, not the maximum.
In summary, of the given options, only s.max() returns the maximum value directly, while the others either return the index of the maximum, the minimum, or the maximum’s position rather than the value itself.

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Which of the following can you use to obtain the maximum value in a Pandas Series, s? Assume there are no missing values in s.

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