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I am in the early stages of retrieving IMDB data via the Python package IMDBPy (their site) (project github). I have been referring to this nice IMDBpy implementation for help with aspects of what I'm doing here. Several of the queries that I'm using generate datasets that come in "nested dictionary" form, e.g. 'movie_1':{'title':'One Flew Over the Cuckoo's Nest', 'director': 'Milos Forman'...}. My early version of the title retrieval takes this form in VIEWS.PY: def index(request): imdb = IMDb() test_movies = {} for i in range(1100000, 1100015): test_movies[f'movie_{i}'] = imdb.get_movie(f'{i}') context = { 'test_movies':test_movies, } return render(request, 'index.html', context)
I am in the early stages of retrieving IMDB data via the Python package IMDBPy (their site) (project github). I have been referring to this nice IMDBpy implementation for help with aspects of what I'm doing here. Several of the queries that I'm using generate datasets that come in "nested dictionary" form, e.g. 'movie_1':{'title':'One Flew Over the Cuckoo's Nest', 'director': 'Milos Forman'...}. My early version of the title retrieval takes this form in VIEWS.PY: def index(request): imdb = IMDb() test_movies = {} for i in range(1100000, 1100015): test_movies[f'movie_{i}'] = imdb.get_movie(f'{i}') context = { 'test_movies':test_movies, } return render(request, 'index.html', context)
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