Function Description 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 before and after in the same row. (The elements must have values both before and after in the same row 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 columns. 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], [[2, 1], [2, 4], [3, 2]] [3, 13, 1, 1, 7, 1], [2, 2, 9, 2, 2, 19] ]) print (findBig (arr)) Explanation: • 13 > (3 + 1), 7 > (1 + 1), 9 > (2 + 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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Pyhton. NumPy. Please solve

Function Description
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 before and after in the same
row.
(The elements must have values both before and
after in the same
row 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 columns.
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],
[[2, 1],
[2, 4], [3, 2]]
[3, 13, 1, 1, 7, 1],
[2, 2, 9, 2, 2, 19] ])
print (findBig(arr))
Explanation:
• 13 >
(3 + 1), 7 > (1 + 1), 9 > (2 + 2)
Transcribed Image Text:Function Description 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 before and after in the same row. (The elements must have values both before and after in the same row 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 columns. 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], [[2, 1], [2, 4], [3, 2]] [3, 13, 1, 1, 7, 1], [2, 2, 9, 2, 2, 19] ]) print (findBig(arr)) Explanation: • 13 > (3 + 1), 7 > (1 + 1), 9 > (2 + 2)
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