In exArray, sort each column along the direction of the rows in ascending order.1 #Load necessary package2 import numpy as np34 # Create array5 exArray = np.array([['n', 'v', 'g', '1', 'z'], ['b', 'y', 'c', 'r', 'f']])67 # Sort array8 exArray_sorted = np.sort(exArray)910 # Print the array11 print(exArray)Check1Next levelX 1: Compare outputexArray. sort () takes an axis argument that determines along which axis the array should be sorted. acolumn along the direction of the rows.Not all tests passed.Output differs. See highlights below.Your outputExpected output[['nU 1 'V'y['b'2[['g'['b'UU1'1'c'g501'Cn'fVV1114Vr111z']'f']]'z']'y'll3T4

1Load required package numpy of the python 2Now, initialize the numpy array named exArray with…

In exArray, sort each column along the direction of the rows in ascending order. 1 # Load necessary package 2 import numpy as np 3 4 # Create array 5 exArray 6 7 # Sort array np.array([['n', 'v', 'g', '1', 'z'], ['b', 'y', 'c', 'r', 'f']]) 8 exArray_sorted np. sort(exArray) 9 10 # Print the array 11 print (exArray)

In exArray, sort each column along the direction of the rows in ascending order. 1 # Load necessary package 2 import numpy as np 3 4 # Create array 5 exArray 6 7 # Sort array np.array([['n', 'v', 'g', '1', 'z'], ['b', 'y', 'c', 'r', 'f']]) 8 exArray_sorted np. sort(exArray) 9 10 # Print the array 11 print (exArray)

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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Concept explainers

Array

The simplest way to start thinking about an array is as a collection, or a set of elements. In programming, these elements may be constants, variables, functions and pointers.

Question

In exArray, sort each column along the direction of the rows in ascending order.
1 #Load necessary package
2 import numpy as np
3
4 # Create array
5 exArray = np.array([['n', 'v', 'g', '1', 'z'], ['b', 'y', 'c', 'r', 'f']])
6
7 # Sort array
8 exArray_sorted = np.sort(exArray)
9
10 # Print the array
11 print(exArray)
Check
1
Next level
X 1: Compare output
exArray. sort () takes an axis argument that determines along which axis the array should be sorted. a
column along the direction of the rows.
Not all tests passed.
Output differs. See highlights below.
Your output
Expected output
[['n
U 1 'V'
y
['b'
2
[['g'
['b'
U
U
1
'1'
c'
g
50
1
'C
n
'f
V
V
1
1
14
V
r
1
1
1
z']
'f']]
'z']
'y'll
3
T
4

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