This is the code I have to work with: four_dice = np.zeros([pow(6,4),5])n = 0outcomes = [1,2,3,4,5,6]for i in outcomes: for j in outcomes: for k in outcomes: for l in outcomes: four_dice[n,:] = [i,j,k,l,i+j+k+l] n +=1four_dice_df = pd.DataFrame(four_dice,columns=('Dice 1','Dice 2','Dice 3','Dice 4','Total')) The code below creates a table for all of the possible outcomes when 4 dice are rolled, andstores the outcomes as a DataFrame.Add to the code below so that it prints the unique values in the Total column, i.e. the numberof unique outcomes when 4 dice are rolled simultaneously.For example:TestResultTesting output [4.5.6.7.8.9.10.11.12.13.14.15. 16.19.20.21.22.23.24.]

OUTPUT 1 2 3 4 Total 0 1.0 1.0 1.0 1.0 4.0 1 1.0 1.0 1.0 2.0…

Answered: This is the code I have to work with:…

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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This is the code I have to work with:

four_dice = np.zeros([pow(6,4),5])
n = 0
outcomes = [1,2,3,4,5,6]
for i in outcomes:
for j in outcomes:
for k in outcomes:
for l in outcomes:
four_dice[n,:] = [i,j,k,l,i+j+k+l]
n +=1
four_dice_df = pd.DataFrame(four_dice,columns=('Dice 1','Dice 2','Dice 3','Dice 4','Total'))

The code below creates a table for all of the possible outcomes when 4 dice are rolled, and
stores the outcomes as a DataFrame.
Add to the code below so that it prints the unique values in the Total column, i.e. the number
of unique outcomes when 4 dice are rolled simultaneously.
For example:
Test
Result
Testing output [
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15. 16.
19.
20.
21.
22.
23.
24.]

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