# The aim of this module is to assign a rating to
# each of the 'genres' in the dataset.
# The idea here is to create a dictionary with
# the name of the genres as keys and the average revenue
# generated by the movies in that genre as values assigned to these keys.
import creatingDictionary
dataset = creatingDictionary.test()
def populate():
'''
The output of this function is a dictionary which has
as keys the names of genres that appear in
the dataset. The values assigned to the keys are all zero.
'''
genreDictionary = {}
for film in dataset:
if not (film['Genre'] in genreDictionary):
genreDictionary[film['Genre']] = 0
return genreDictionary
def assignCount():
'''
The output of this function is the dictionary in which
the keys - the names of the genres and
the value - number of occurrences in the dataset. ie the number
of films in the dataset falls under the genre.
'''
genresDictionary = populate()
count = 0
# The aim of this module is to assign a rating to
# each of the 'genres' in the dataset.
# The idea here is to create a dictionary with
# the name of the genres as keys and the average revenue
# generated by the movies in that genre as values assigned to these keys.
import creatingDictionary
dataset=creatingDictionary.test()
def populate():
'''
The output of this function is a dictionary which has
as keys the names of genres that appear in
the dataset. The values assigned to the keys are all zero.
'''
genreDictionary={}
for film in dataset:
if not(film['Genre'] in genreDictionary):
genreDictionary[film['Genre']]=0
return genreDictionary
def assignCount():
'''
The output of this function is the dictionary in which
the keys - the names of the genres and
the value - number of occurrences in the dataset. ie the number
of films in the dataset falls under the genre.
'''
genresDictionary=populate()
count=0
for film in dataset:
if (film['Genre'] in genresDictionary):
genresDictionary[film['Genre']]+=1