Q3. This question requires you to manipulate arrays using slicing, splitting and/or array func- tions (e.g. append, row_stack, column_stack): a) Generate a 1D array of the values from 1 to 20. Use a single line of code to convert the array to a 2D array of 4 rows by 5 columns. b) Look up the NumPy array functions and find the function that will revert your array back to a 1D array. Apply this to your array. c) Create the following two NumPy arrays: A and B Array: A 1 2 4 Array: B 5 7 8 10
Q3. This question requires you to manipulate arrays using slicing, splitting and/or array func- tions (e.g. append, row_stack, column_stack): a) Generate a 1D array of the values from 1 to 20. Use a single line of code to convert the array to a 2D array of 4 rows by 5 columns. b) Look up the NumPy array functions and find the function that will revert your array back to a 1D array. Apply this to your array. c) Create the following two NumPy arrays: A and B Array: A 1 2 4 Array: B 5 7 8 10
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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Language - Python

Transcribed Image Text:Page
>
of 5
ZOOM +
Q3. This question requires you to manipulate arrays using slicing, splitting and/or array func-
tions (e.g. append, row_stack, column_stack):
a) Generate a 1D array of the values from 1 to 20. Use a single line of code to convert
the array to a 2D array of 4 rows by 5 columns.
b) Look up the NumPy array functions and find the function that will revert your array
back to a 1D array. Apply this to your array.
c) Create the following two NumPy arrays: A and B
Array: A
4
Array: B
6.
7
8
9.
10
Page 2 of 5

Transcribed Image Text:Create a third NumPy array where the values are the multiplication of the values of array
A and B for each row, column position. In positions where one of the arrays does not have
a value to use, copy the single value from the other array.
For example, your result array for the example above would be:
Array: result
12
7
24
36
10
As you are working with NumPy arrays, your solution should not use for loops
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