Generate the code for a function: findBig(a: Ndarray) --> list The function searches the contents of a 2-dimensional array for elements with values greater than the sum of the values immediately above and below in the same column. (The elements must have values both above and below in the same column to qualify.) The row and column indices of these elements are returned in a list. The code should work for any size 2-dimensional array having a minimum of 3 rows. See sample test results below: Function Call: Returns: import numpy as np arr = np.array([ [19, 7, 7, 3, 2, 16], [10, 5, 6, 5, 2, 6], [3, 13, 1, 1, 7, 1], [2, 2, 9, 2, 2, 19] ]) [[1, 3], [2, 1], [2, 4]] print (findBig(arr))
Generate the code for a function: findBig(a: Ndarray) --> list The function searches the contents of a 2-dimensional array for elements with values greater than the sum of the values immediately above and below in the same column. (The elements must have values both above and below in the same column to qualify.) The row and column indices of these elements are returned in a list. The code should work for any size 2-dimensional array having a minimum of 3 rows. See sample test results below: Function Call: Returns: import numpy as np arr = np.array([ [19, 7, 7, 3, 2, 16], [10, 5, 6, 5, 2, 6], [3, 13, 1, 1, 7, 1], [2, 2, 9, 2, 2, 19] ]) [[1, 3], [2, 1], [2, 4]] print (findBig(arr))
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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PYTHON
![Generate the code for a function: findBig(a: Ndarray) --> list
The function searches the contents of a 2-dimensional array for
elements with values greater than the sum of the values
immediately above and below in the same column. (The elements
must have values both above and below in the same column to
qualify.)
The row and column indices of these elements are returned in a
list. The code should work for any size 2-dimensional array
having a minimum of 3 rows.
See sample test results below:
Function Call:
Returns:
import numpy as np
arr = np.array([ [19, 7, 7, 3, 2, 16],
[10, 5, 6, 5, 2, 6],
[3, 13, 1, 1, 7, 1],
[2, 2, 9, 2, 2, 19] ])
[[1, 3], [2, 1], [2, 4]]
print (findBig(arr))](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbb59da21-6edc-4734-a521-4b0579c272ae%2F2fdc0148-cdfc-4490-bd86-eba28ebaa100%2Fsk90h7n_processed.png&w=3840&q=75)
Transcribed Image Text:Generate the code for a function: findBig(a: Ndarray) --> list
The function searches the contents of a 2-dimensional array for
elements with values greater than the sum of the values
immediately above and below in the same column. (The elements
must have values both above and below in the same column to
qualify.)
The row and column indices of these elements are returned in a
list. The code should work for any size 2-dimensional array
having a minimum of 3 rows.
See sample test results below:
Function Call:
Returns:
import numpy as np
arr = np.array([ [19, 7, 7, 3, 2, 16],
[10, 5, 6, 5, 2, 6],
[3, 13, 1, 1, 7, 1],
[2, 2, 9, 2, 2, 19] ])
[[1, 3], [2, 1], [2, 4]]
print (findBig(arr))
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