We use the following code to produce an array called “x”: [ ] #This is the input np.random.seed (1) x = np.random.randint (10, size = (4, 4)) print(x) #This is the output [[5, 8, 9, 5], [0, 0, 1, 7], [6, 9, 2, 4], [5, 2, 4, 2]] Using this array, a slice is made using the following code. Fill in t [] #This is the input x[1: 0:3] #This is the output array([[0, 0, 1], [6, 9, 2]}]}

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
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We use the following code to produce an array called "x":
[ ] #This is the input
np.random.seed (1)
x = np.random.randint(10, size =
print (x)
#This is the output
[[5, 8, 9, 51,
[0, 0, 1, 7],
[6, 9, 2, 4],
[5, 2, 4, 2]]
Using this array, a slice is made using the following code. Fill in the b
[] #This is the input
x[1: 0:3]
#This is the output
array([[0, 0, 1],
[6, 9, 2]])
घ>
Transcribed Image Text:We use the following code to produce an array called "x": [ ] #This is the input np.random.seed (1) x = np.random.randint(10, size = print (x) #This is the output [[5, 8, 9, 51, [0, 0, 1, 7], [6, 9, 2, 4], [5, 2, 4, 2]] Using this array, a slice is made using the following code. Fill in the b [] #This is the input x[1: 0:3] #This is the output array([[0, 0, 1], [6, 9, 2]]) घ>
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