Search icon CANCEL
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 FREE CHAPTER 2. Up and Running with pandas 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

Visualization

One of the most important parts of data analysis is in creating a great visualization to immediately convey the underlying meaning in the data. Data visualization is effective, as we humans are visual creatures and have evolved to be able to discern meaning when information is laid out in a way that our brain can interpret almost immediately when the impulses from the retina hit the brain.

Over the years, there has been significant research that has resulted in many effective visualization techniques to convey specific patterns in data. These patterns have been implemented in visualization libraries, and pandas is designed to utilize these and make their use very simple.

This chapter will cover several of these techniques, primarily focusing on matplotlib, and many of the common visualizations. We will do this in three steps. The first introduces the general concepts...

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 £16.99/month. Cancel anytime