QUESTION 18Assume the following array definitions:import numpy as npintegers = np.array([[1, 2, 3], [4, 5, 6]])floats = np.array([0.0, 0.1, 0.2, 0.3, 0.4])The attributedimensions:contains an array's number of dimensions and the attributecontains aspecifying an array'sO a. dim, size, listO b. ndim, shape, tupleO c. dim, size, tupleO d. ndim, shape, list

The answer is First blank is ndim, which gives the dimension of the array in the form of rank. The…

Assume the following array definitions: import numpy as np integers = np.array([[1, 2, 3], [4, 5, 6]]) floats = np. array([0.0, 0.1, 0.2, 0.3, 0.4]) contains an array's number of dimensions and the attribute The attribute dimensions: contains a specifying an array's O a. dim, size, list O b. ndim, shape, tuple O c. dim, size, tuple O d. ndim, shape, list

Assume the following array definitions: import numpy as np integers = np.array([[1, 2, 3], [4, 5, 6]]) floats = np. array([0.0, 0.1, 0.2, 0.3, 0.4]) contains an array's number of dimensions and the attribute The attribute dimensions: contains a specifying an array's O a. dim, size, list O b. ndim, shape, tuple O c. dim, size, tuple O d. ndim, shape, list

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter12: Points, Classes, Virtual Functions And Abstract Classes

Section: Chapter Questions

Problem 29SA

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