Computers and Technology, 04.07.2019 20:10 nerdypineapple

Consider the following code. we want to find the mean of x based on its second column. which one is the correct response?
import numpy as np
x = np. array([[28, 18],
[34, 14],
[32, 16],

[26, 23],
[23, 17]])
(points : 1) np. mean(x[1,: ])
np. mean(x[: ,1])
np. mean(x[0,: ])
np. mean(x[: ,0])

Answers: 3

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Consider the following code. we want to find the mean of x based on its second column. which one is the correct response? import numpy as np x = np. array([[28, 18], [34, 14], [32, 16], [26, 23], [23, 17]]) (points : 1) np. mean(x[1,: ]) np. mean(x[: ,1]) np. mean(x[0,: ]) np. mean(x[: ,0])

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Consider the following code. we want to find the mean of x based on its second column. which one is the correct response?
import numpy as np
x = np. array([[28, 18],
[34, 14],
[32, 16],

[26, 23],
[23, 17]])
(points : 1) np. mean(x[1,: ])
np. mean(x[: ,1])
np. mean(x[0,: ])
np. mean(x[: ,0])