Constructing multiple Boolean conditions

In Python, Boolean expressions use the built-in logical operators and, or, and not. These keywords do not work with Boolean indexing in pandas and are respectively replaced with &, |, and ~. Additionally, when combining expressions, each expression must be wrapped in parentheses, or an error will be raised (due to operator precedence).

Constructing a filter for your dataset might require combining multiple Boolean expressions together to pull out the rows you need. In this recipe, we construct multiple Boolean expressions before combining them to find all the movies that have an imdb_score greater than 8, a content_rating of PG-13, and a title_year either before 2000 or after 2009.

How to do it…

1. Load in the movie dataset and set the title as the index:

   >>> movie = pd.read_csv(
   ...     "data/movie.csv", index_col="movie_title"
   ... )
   

2. Create a variable to hold each...