Question15 Which of the following is a key feature of a Pandas Series? Select one alternative: (a) Multidimensional structure (b) Labeled index (c) Mixed types in a single column (d) SQL integration ResetMaximum marks: 3 Flag question undefined

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BlackTom AI · Accepted Answer

In this question, we’re identifying a key feature of a Pandas Series among four options.
Option (a) Multidimensional structure: This is a description more fitting for a Pandas DataFrame, which is a 2D structure, not a 1D Series. Therefore this statement is inaccurate for a Series.
Option (b) Labeled index: This accurately reflects a fundamental property of a Pandas Series. Each element in a Series is associated with a labeled index, allowing for label-based access and alignment during operations. This is the hallmark feature that distinguishes Series from a plain 1D array.
Option (c) Mixed types in a single column: While a Series can hold various dtypes, in practice a Series has a single dtype that applies to all elements, and attempting to store mixed types often results in a common supertype (like object). Thus describing it as inherently supporting mixed types in a single column is misleading.
Option (d) SQL integration: Pandas Series does not inherently provide SQL integration as a core feature; SQL interaction is not a defining characteristic of a Series itself, though Pandas can read from or write to SQL databases via additional methods. Hence this option is not a key feature.
Overall, option (b) correctly identifies the distinguishing feature of a Pandas Series, while the other options describe aspects associated with other data structures or mischaracterize Series capabilities.

Question15 Which of the following is a key feature of a Pandas Series? Select one alternative: (a) Multidimensional structure (b) Labeled index (c) Mixed types in a single column (d) SQL integration ResetMaximum marks: 3 Flag question undefined

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