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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

I got this question in an interview for job.

My question is taken from Pandas Data Structure in chapter Data Analysis with Python of Data Science

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Right answer is (a) A DataFrame is like a fixed-size dict in that you can get and set values by index label

Easy explanation - A Series is like a fixed-size dict in that you can get and set values by index label.

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