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
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

Renaming columns

Columns can be renamed using the appropriately named .rename() method. This method can be passed a dictionary object where the keys represent the labels of the columns that are to be renamed, and the value for each key is the new name.

The following will change the name of the 'Book Value' column to 'BookValue', removing the space and allowing access to that column's data using property notation.

Using .rename() in this manner returns a new data frame with the columns renamed and the data copied from the original. The following verifies that the original was not modified.

To modify the data frame in-place without making a copy you can use the inplace=True parameter.

It is now possible to use the .BookValue property to access the data.

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