October 2017
Intermediate to advanced
532 pages
16h 10m
English
Content preview from Pandas Cookbook
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How to do it...
- 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()
- Use the nlargest method to select the top 100 movies by imdb_score:
>>> movie2.nlargest(100, 'imdb_score').head()
- 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')
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.