December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How to do it...
- Read in the movie dataset and slim it down to just the three columns we care about, movie_title, title_year, and imdb_score:
The first thing we need to do is configure pandas:
# import numpy and pandasimport numpy as npimport pandas as pd# used for datesimport datetimefrom datetime import datetime, date# Set some pandas options controlling output formatpd.set_option('display.notebook_repr_html', False)pd.set_option('display.max_columns', 8)pd.set_option('display.max_rows', 10)pd.set_option('display.width', 90)# bring in matplotlib for graphicsimport matplotlib.pyplot as plt%matplotlib inline
movie = pd.read_csv('data/movie.csv')movie2 = movie[['movie_title', 'title_year', 'imdb_score']]
- Use the sort_values method to sort ...
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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.