What is the primary difference between a Pandas Series and a Pandas DataFrame?

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Answer: B. A series is a 1D array-like object with labels, whereas a DataFrame is a 2D table-like structure with rows and columns.

1. A.

   A series is 3D, while a DataFrame is 2D.

2. B.

   A series is a 1D array-like object with labels, whereas a DataFrame is a 2D table-like structure with rows and columns.

3. C.

   DataFrames can only store numbers, while series can store any data type.

4. D.

   Series are used for time-series data only, while DataFrames are for static data.

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