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
Python Data Visualization Cookbook

You're reading from   Python Data Visualization Cookbook As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations.

Arrow left icon
Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781782163367
Length 280 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Igor Milovanovic Igor Milovanovic
Author Profile Icon Igor Milovanovic
Igor Milovanovic
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Python Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Preparing Your Working Environment FREE CHAPTER 2. Knowing Your Data 3. Drawing Your First Plots and Customizing Them 4. More Plots and Customizations 5. Making 3D Visualizations 6. Plotting Charts with Images and Maps 7. Using Right Plots to Understand Data 8. More on matplotlib Gems Index

Exporting data to JSON, CSV, and Excel


While, as producers of data visualization, we are mostly using other people's data; importing and reading data are major activities. We do need to write or export data that we produced or processed, whether it is for our or others' current or future use.

We will demonstrate how to use the previously mentioned Python modules to import, export, and write data to various formats such as JSON, CSV, and XLSX.

For demonstration purposes, we are using the pregenerated dataset from the Importing data from fixed-width datafiles recipe.

Getting ready

For the Excel writing part, we will need to install the xlwt module (inside our virtual environment) by executing the following command:

$ pip install xlwt

How to do it...

We will present one code sample that contains all the formats that we want to demonstrate: CSV, JSON, and XLSX. The main part of the program accepts the input and calls appropriate functions to transform data. We will walk through separate sections...

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 €18.99/month. Cancel anytime