1. Display all the characters in the list. 2. Identify and display characters from science fiction genre movies. 3. Calculate the average rating of all characters in the list. 4. Create a frequency distribution of character species in the list. Each element in the distribution should represent the count of characters belonging to a specific species. 5. Store all the characters in "MovieCharacters.txt" in a Python set. 6. Output all unique directors of the movies featuring these characters. 7. Output the total number of entries in your set. ● Write a program in Python that reads a list of movie characters from a file named "MovieCharacters.txt" and accomplishes the following tasks: ● MovieCharacters.txt: "Neo", Human, 30, Science Fiction, The Matrix, Lana Wachowski "Ellen Ripley", Human, 35, Science Fiction, Alien, Ridley Scott "Yoda", Alien, 900, Science Fiction, Star Wars, George Lucas "E.T.", Alien, N/A, Science Fiction, E.T. the Extra-Terrestrial, Steven Spielberg "Darth Vader", Human, 45, Science Fiction, Star Wars, George Lucas "Forrest Gump", Human, 32, Drama, Forrest Gump, Robert Zemeckis "Jack Sparrow", Human, 40, Adventure, Pirates of the Caribbean, Gore Verbinski

1. Display all the characters in the list. 2. Identify and display characters from science fiction genre movies. 3. Calculate the average rating of all characters in the list. 4. Create a frequency distribution of character species in the list. Each element in the distribution should represent the count of characters belonging to a specific species. 5. Store all the characters in "MovieCharacters.txt" in a Python set. 6. Output all unique directors of the movies featuring these characters. 7. Output the total number of entries in your set. ● Write a program in Python that reads a list of movie characters from a file named "MovieCharacters.txt" and accomplishes the following tasks: ● MovieCharacters.txt: "Neo", Human, 30, Science Fiction, The Matrix, Lana Wachowski "Ellen Ripley", Human, 35, Science Fiction, Alien, Ridley Scott "Yoda", Alien, 900, Science Fiction, Star Wars, George Lucas "E.T.", Alien, N/A, Science Fiction, E.T. the Extra-Terrestrial, Steven Spielberg "Darth Vader", Human, 45, Science Fiction, Star Wars, George Lucas "Forrest Gump", Human, 32, Drama, Forrest Gump, Robert Zemeckis "Jack Sparrow", Human, 40, Adventure, Pirates of the Caribbean, Gore Verbinski

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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Question

1. Display all the characters in the list.
2. Identify and display characters from science fiction genre movies.
3. Calculate the average rating of all characters in the list.
4. Create a frequency distribution of character species in the list. Each element in the
distribution should represent the count of characters belonging to a specific species.
5. Store all the characters in "MovieCharacters.txt" in a Python set.
6. Output all unique directors of the movies featuring these characters.
7. Output the total number of entries in your set.
•
"Neo", Human, 30, Science Fiction, The Matrix, Lana Wachowski
"Ellen Ripley", Human, 35, Science Fiction, Alien, Ridley Scott
• "Yoda", Alien, 900, Science Fiction, Star Wars, George Lucas
"E.T.", Alien, N/A, Science Fiction, E.T. the Extra-Terrestrial, Steven Spielberg
"Darth Vader", Human, 45, Science Fiction, Star Wars, George Lucas
"Forrest Gump", Human, 32, Drama, Forrest Gump, Robert Zemeckis
"Jack Sparrow", Human, 40, Adventure, Pirates of the Caribbean, Gore Verbinski
●
•
.
Write a program in Python that reads a list of movie characters from a file named
"MovieCharacters.txt" and accomplishes the following tasks:
.
●
MovieCharacters.txt:

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