Problem 1. Top Movies and Actors This problem is about analyzing data from IMDB

Question

Problem 1. Top Movies and Actors This problem is about analyzing data from IMDB lists with top rated and top grossing movies. There are th file linked from the Homework 4 Canvas page 1mdb-top-rated.csv, listing the ranking of the top rated 250 movies. It has this format: Rank,Title,Year.IMDB Rating imdb-top-grossing.csv, listing the ranking of the highest grossing 250 movies. It has this format Rank,Title,Year,USA Box Office imdb-top-casts.csv, listing the director and cast for the movies in the above files. It has this format: Title, Director, Actor1, Actor 2, Actor 3, Actor 4, Actor 5. The actors are listed in billing order. This file does not have a heading. . These files are from Duke U. and seem to date from 2014 te a program in file p1.py that does the following: a) Displays a ranking (descending) of the movie directors with the most movies in the top rated list. Print only the top 5 directors, with a proper title above. b) Displays a ranking (descending) of the directors with the most movies in the top grossing list. Print only the top 5 directors, with a proper title above. c) Displays a ranking (descending) of the actors with the most movie credits from the top rated list. Print only the top 5 actors, with a proper title above. d) Displays a ranking (descending) with the actors who brought in the most box office money, based on the top grossing movie list. For a movie with gross ticket sales amount s, the 5 actors on the cast list will split amount s in the following way: 1 (first billed) 2 16*s/31 Actor # 4 S5 per actor 8 s 31 4s 31 2/31 /31 Print only the top 5 actor pairs, with a proper title above. EXTRA CREDIT 5 points e) Displays in order the top 10 "grossing actor pairs" that played together in the same movie. The total amount (used for sorting) for a pair of actors is the sum of the gross revenue allocated to each actor with the scheme in the table above, but computed only for movies where the two actors played together. We can expect Harrison Ford and Mark Hamill to be near the top, since they were together in the original StarWar movies. Take a screenshot of the program's output (a-d +e) and insert it in the h4.docfile right after the code from file pl.py Design and Implementation Requirements To get credit for this problem, follow these requirements: a) Apply the top-down design methodology. Seek commonality among the tasks listed above. Break the problems into subproblems divide&conquer-style;, then write functions dealing with the subproblems. b) Compute and use 3 dictionaries with the key in the form of a tuple (movie_name, movie_year) for storing movie cast information, ratings info, and gross info, respectively. We need to include the year as part of the key since it's possible in principle to get two different movies with the same title, but it is less likely to be from the same year. Use a dictionary for storing actor information with the key being the actor name and value being the list of (movie name, movie_year tuples for movies in which they played, and any other data needed, such as gross allocated (per the table above). Store multiple values for one entry in a tuple or list. Write docstrings for functions and comment your code following the guidelines from the textbook. Follow the Python coding style rules.

Explanation / Answer

a) import csv

Rank=[]

Title=[]

Year=[]

Rating=[]

Rating1=[]

Ran=[]

Dir=[]

with open('imdb-top-rated.csv') as fil:

reader = csv.reader(fil)

for current in reader:

Rank.append(int(current[0]))

Title.append(current[1])

Year.append(int(current[2]))

Rating.append(float(current[3]))

print(Rating)

with open('imdb-top-casted.csv') as fil1:

reader = csv.reader(fil)

for curr in reader:

j=0

for tit in Title:

if curr[0]==tit:

Ran.append(Rank[j])

Dir.append(curr[1])

from collections import Counter

print(sorted(Ran, key=Counter(Ran).get, reverse=True))

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