Question

Point out the wrong statement.
A. A DataFrame is like a fixed-size dict in that you can get and set values by index label
B. Series can be be passed into most NumPy methods expecting an ndarray
C. A key difference between Series and ndarray is that operations between Series automatically align the data based on label
D. None of the mentioned

Answer 1

Answer:

C

Explanation:

Answer 2

A Python method is indeed a code group, to execute the program inside a function, the function must be called, functions could indeed return the value with a return declaration, and the further discussion can be defined as follows:

• DataFrame is a 2D branded data structure with articles of possible types.
• NumPy has basic transformation functions, arithmetic procedure functions, number theory handling, etc.
• A major differential between Series and "ndarray" is the fact that tv show operations automatically align label-based data.

Therefore, the final answer is "Option A".

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