Numerical Computing with Python

How to do it...

1. Read in the movie dataset, set the index to the movie_title, and create the first set of criteria:

>>> movie = pd.read_csv('data/movie.csv', index_col='movie_title')>>> crit_a1 = movie.imdb_score > 8>>> crit_a2 = movie.content_rating == 'PG-13'>>> crit_a3 = (movie.title_year < 2000) | (movie.title_year > 2009)>>> final_crit_a = crit_a1 & crit_a2 & crit_a3

2. Create criteria for the second set of movies:

>>> crit_b1 = movie.imdb_score < 5>>> crit_b2 = movie.content_rating == 'R'>>> crit_b3 = ((movie.title_year >= 2000) &                (movie.title_year <= 2010))>>> final_crit_b = crit_b1 & crit_b2 & crit_b3

3. Combine the two sets of criteria using the pandas or operator. This yields a boolean Series of all movies that are members of either ...