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
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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![QUESTION 18
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])
The attribute
dimensions:
contains an array's number of dimensions and the attribute
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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F22590f24-92e0-4703-8440-5c9c255c1d1c%2Fd924e268-3a73-460c-89b9-67a1a1128e75%2Fr4wlur9_processed.png&w=3840&q=75)
Transcribed Image Text:QUESTION 18
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])
The attribute
dimensions:
contains an array's number of dimensions and the attribute
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
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