Question21 Which of the following correctly describes a Series in Python using the Pandas library? Select one alternative: A table with rows and columns A fixed-size 2D array A 3D matrix holder A one-dimensional labeled array ResetMaximum marks: 2 Flag question undefinedSingle choice
A
A table with rows and columns
B
A fixed-size 2D array
C
A 3D matrix holder
D
A one-dimensional labeled array

Question

Question21 Which of the following correctly describes a Series in Python using the Pandas library? Select one alternative: A table with rows and columns A fixed-size 2D array A 3D matrix holder A one-dimensional labeled array ResetMaximum marks: 2 Flag question undefinedSingle choice

A

A table with rows and columns

B

A fixed-size 2D array

C

A 3D matrix holder

D

A one-dimensional labeled array

BlackTom AI · Accepted Answer

Let’s break down what a Pandas Series is and evaluate each option against that concept.
Option 1: 'A table with rows and columns' — this describes a DataFrame, which is a 2D labeled data structure with rows and columns. A Series is not a table with rows and columns, so this option misidentifies the data structure.
Option 2: 'A fixed-size 2D array' — a 2D fixed-size array would imply a matrix-like structure (and typically corresponds to something like a NumPy 2D array). Series in Pandas are not 2D nor fixed-size 2D arrays; they are 1D. This makes the option incorrect.
Option 3: 'A 3D matrix holder' — Pandas Series is not a 3D container. It holds a single 1D array of values with an index. A 3D structure would be more akin to a 3D array or a Panel (in older Pandas) rather than a Series. Therefore, this is inaccurate.
Option 4: 'A one-dimensional labeled array' — this matches the canonical definition of a Pandas Series: it is a one-dimensional array-like object with an associated index that provides labels for each element. The labeling (index) is a key feature that differentiates it from a plain NumPy array, and the one-dimensional aspect distinguishes it from DataFrames.
In summary, the correct characterization is that a Series is a one-dimensional labeled array, whereas the other options describe higher-dimensional or table-like structures that are not Series. The nuance rests on dimensionality (1D) and labeling (indexed) aspects that set Series apart from DataFrames, NumPy arrays, and 3D containers.

Question21 Which of the following correctly describes a Series in Python using the Pandas library? Select one alternative: A table with rows and columns A fixed-size 2D array A 3D matrix holder A one-dimensional labeled array ResetMaximum marks: 2 Flag question undefinedSingle choice

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