from task1_imdb import scrape_top_list
from task4_imbd import movie_detail_scrap
from task5_imbd import get_movie_list_detail
from bs4 import BeautifulSoup
import requests
import pprint
def analyse_movies_director(movie_detail):
dic = {}
# pprint.pprint(movie_detail_list)
for i in movie_detail:
for lan in i["director"]:
print(lan)
if lan not in dic:
dic[lan] = 1
else:
dic[lan] += 1
print(dic)
top_movies = scrape_top_list()
movies_detail = get_movie_list_detail(
top_movies[:10]
) # dekho kaise humne slicing ka use karke humne sirf pehli 10 movies input di. Yeh karna yaad rakhna :)
director_analysis = analyse_movies_director(
movies_detail
) # dekho kaise get_movie_list_details ki return value humne analyse_movies_language function mein de di
print(director_analysis)
from task1_imdb import scrape_top_list
import pprint
whole_data = scrape_top_list()
def group_by_decade(data_collection):
#movie decade
movie_decade = {}
list_year = []
for i in data_collection:
modulus = i["year"] % 10
decade = i["year"] - modulus
if decade not in list_year:
list_year.append(decade)
list_year.sort()
for k in list_year:
movie_decade[k] = []
for j in movie_decade:
dec10 = j + 9
for y in data_collection:
m = y["year"]
if m <= dec10 and m >= j:
movie_decade[j].append(y)
return movie_decade
movie_decade_year = group_by_decade(whole_data)
pprint.pprint(movie_decade_year)