Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning pandas

You're reading from   Learning pandas High performance data manipulation and analysis using Python

Arrow left icon
Product type Paperback
Published in Jun 2017
Publisher
ISBN-13 9781787123137
Length 446 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. pandas and Data Analysis 2. Up and Running with pandas FREE CHAPTER 3. Representing Univariate Data with the Series 4. Representing Tabular and Multivariate Data with the DataFrame 5. Manipulating DataFrame Structure 6. Indexing Data 7. Categorical Data 8. Numerical and Statistical Methods 9. Accessing Data 10. Tidying Up Your Data 11. Combining, Relating, and Reshaping Data 12. Data Aggregation 13. Time-Series Modelling 14. Visualization 15. Historical Stock Price Analysis

Performing Boolean selection

Indexes give us a very powerful and efficient means of looking up values in a Series based upon their labels. But what if you want to look up entries in a Series based upon the values?

To handle this scenario pandas provides us with Boolean selection. A Boolean selection applies a logical expression to the values of the Series and returns a new series of Boolean values representing the result of that expression upon each value. This result can then be used to extract only values where True was a result.

To demonstrate Boolean selection, let's start with the following Series and apply the greater than operator to determine values greater than or equal to 3:

This results in a Series with matching index labels and the result of the expression as applied to the value of each label. The dtype of the values is bool.

This series can then be used to...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image