Fill in the gap in the answer box with an expression that yields the rightmost column of the array data as a 1D array but skipping every second row. The code should thus print [ 4 40 -4] Notes: • Your expression will be tested with other values of data. Answer: 1 import numpy as np 2 data - np.array([[1, 2, 3, 4], 3 [100, 200, 300, 400], [10, 20, з0, 40], [1000, 2000, 3000, 4000], [-1, -2, -3, -4] 4. 6 7 8 selection - 9 print(selection)
Fill in the gap in the answer box with an expression that yields the rightmost column of the array data as a 1D array but skipping every second row. The code should thus print [ 4 40 -4] Notes: • Your expression will be tested with other values of data. Answer: 1 import numpy as np 2 data - np.array([[1, 2, 3, 4], 3 [100, 200, 300, 400], [10, 20, з0, 40], [1000, 2000, 3000, 4000], [-1, -2, -3, -4] 4. 6 7 8 selection - 9 print(selection)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question
![Fill in the gap in the answer box with an expression that yields the rightmost column of
the array data as a 1D array but skipping every second row.
The code should thus print
[ 4 40 -4]
Notes:
• Your expression will be tested with other values of data.
Answer:
1 import numpy as np
2 data = np.array([[1, 2, 3, 4],
[100, 200, зе, 400],
[10, 20, 30, 40],
[1000, 2000, 3ееө, 4000],
[-1, -2, -3, -4]
1)
3
6
7
8 selection =
9 print(selection)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2f38207c-a65c-4294-8d77-eb45b88b09e4%2Fb64a05c5-f29a-41f3-ab83-630d485ca383%2Ff6r3rv_processed.png&w=3840&q=75)
Transcribed Image Text:Fill in the gap in the answer box with an expression that yields the rightmost column of
the array data as a 1D array but skipping every second row.
The code should thus print
[ 4 40 -4]
Notes:
• Your expression will be tested with other values of data.
Answer:
1 import numpy as np
2 data = np.array([[1, 2, 3, 4],
[100, 200, зе, 400],
[10, 20, 30, 40],
[1000, 2000, 3ееө, 4000],
[-1, -2, -3, -4]
1)
3
6
7
8 selection =
9 print(selection)
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