Which of the following codelines return True. a) numpy.argmax(numpy.array([2,3,4,numpy.NAN,1,5])) == 4 b) numpy.nanargmax(numpy.array([2,3,4,numpy.NAN,1,5])) == 5 c) type(numpy.array([1,2,3,4,numpy.NAN]).sum()) is numpy.float64 d) type(numpy.array([1,2,3,4],dtype=object).sum()) is int e) type(numpy.array([1,2,3,4]).sum()) is int

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A: XARR[] = {1,2,3}  In the above array XARR there are 3 elements, Array index starts from 0 So, at…

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Q: Question 41. Which of the following codelines return True. a) numpy.argmax…

A: Given:

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A: flow chart for 3D array

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Q: plete the whole code a..

A: The code is below:

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A: Mcq.

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A: The question is create the function from this  written code.

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Passing Array as Argument

An array is a data structure that holds only fixed-size data and its contents are arranged in contiguous memory slots. The primary purpose of using an array is to store data items of the identical type together. An array can stockpile any one of the following types of data: int, float, char and so forth. The elements are stored from index 0, and the difference between the two indexes of the array is termed as an offset. The array has a fixed size. Once the size is defined during array declaration, it cannot be changed later.