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Jupyter for Data Science

You're reading from  Jupyter for Data Science

Product type Book
Published in Oct 2017
Publisher Packt
ISBN-13 9781785880070
Pages 242 pages
Edition 1st Edition
Languages
Author (1):
Dan Toomey Dan Toomey
Profile icon Dan Toomey

Table of Contents (17) Chapters

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Jupyter and Data Science Working with Analytical Data on Jupyter Data Visualization and Prediction Data Mining and SQL Queries R with Jupyter Data Wrangling Jupyter Dashboards Statistical Modeling Machine Learning Using Jupyter Optimizing Jupyter Notebooks

Arbitrary search of ratings


Since we have the data in an easily loadable format we can search for arbitrary conditions, such as Personal Chefs that allow dogs-maybe they will custom cook for your dog.

We could use a script as follows: for line in lines:

    line = unicode(line, errors='ignore')    obj = json.loads(line)    if obj['categories'] == None:        continue    if 'Personal Chefs' in obj['categories']:        if obj['attributes'] == None:            continue        for attr in obj['attributes']:            print (attr)

Where we do something useful with the items that filter out. This script would display the attributes only for Personal Chefs. As can be seen in the following display:

We could just as easily performed some calculation or other manipulation to narrow down and focus on a very specific portion of the data easily.

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