Dear Python Tutor: Please solve the last two questions (#3 and #4) (they are all part of one problem), correctly. How many dimensions will x.std(axis=(0, 1, 3) have?23What is the shape of np.sum(x, axis=(0, 1)) ?(5, 6)(6, 8)(8, 10)A single number is returned. It has no shape. Given a 4-D array, x of shape (5, 6, 8, 10) and referring to the "stack, sheet, row, column" terminology that was used in the text, answerthe following questions.Which of the following computes the mean of all of the numbers in the rows and columns of x, for each sheet in each stack?x.mean(axis= (-2, -1))x. mean(axis= (0, 1))x. mean(axis=(1, 2))x. mean(axis=(-3, -4))What is the shape of x.min() ?| (18,)(2409,)(5, 6, 8, 10)A single number is returned. It has no shape.

3) The axis i in np.sum(a, axis=i) is the ith index of the shape of that array (zero-indexed). Let's…

Answered: What is the shape of np.sum(x, axis=(@,…

What is the shape of np.sum(x, axis=(@, 1)) ? O (5, 6) O (6, 8) O (8, 10) O A single number is returned. It has no shape.

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

Hash Table

A hash table also called a hash map, is a data structure that maps key-value pairs. The hash table can be used in complex systems to provide fast access and compact storage. A hash table is a structure that stores data in an abstract data type kind of associative array. It keeps data in an array format, with a distinct index value for every data value. If the index of the required data is known, then the data can be accessed very easily.

Question

Dear Python Tutor: Please solve the last two questions (#3 and #4) (they are all part of one problem), correctly.

How many dimensions will x.std(axis=(0, 1, 3) have?
2
3
What is the shape of np.sum(x, axis=(0, 1)) ?
(5, 6)
(6, 8)
(8, 10)
A single number is returned. It has no shape.

Given a 4-D array, x of shape (5, 6, 8, 10) and referring to the "stack, sheet, row, column" terminology that was used in the text, answer
the following questions.
Which of the following computes the mean of all of the numbers in the rows and columns of x, for each sheet in each stack?
x.mean(axis= (-2, -1))
x. mean(axis= (0, 1))
x. mean(axis=(1, 2))
x. mean(axis=(-3, -4))
What is the shape of x.min() ?
| (18,)
(2409,)
(5, 6, 8, 10)
A single number is returned. It has no shape.

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