1. Read in the movie dataset, and select the columns, movie_title, imdb_score, and budget:

>>> movie = pd.read_csv('data/movie.csv')
>>> movie2 = movie[['movie_title', 'imdb_score', 'budget']]
>>> movie2.head()

2. Use the nlargest method to select the top 100 movies by imdb_score:

>>> movie2.nlargest(100, 'imdb_score').head()

3. Chain the nsmallest method to return the five lowest budget films among those with a top 100 score:

>>> movie2.nlargest(100, 'imdb_score').nsmallest(5, 'budget')