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
Jupyter Cookbook

You're reading from   Jupyter Cookbook Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Arrow left icon
Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Length 238 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Installation and Setting up the Environment 2. Adding an Engine FREE CHAPTER 3. Accessing and Retrieving Data 4. Visualizing Your Analytics 5. Working with Widgets 6. Jupyter Dashboards 7. Sharing Your Code 8. Multiuser Jupyter 9. Interacting with Big Data 10. Jupyter Security 11. Jupyter Labs

Reading CSV files

The most common file format for datasets is a comma separated value (CSV) file. A CSV may have a header record followed by a variable number of data records.

The header record may be the first record in the file. In that record, the separated values are headings or column names for each of the columns of data in the file. The column names are all character string values. We can use these column names for variable names in our scripts, corresponding to column names in a dataset.

Each subsequent data record will have a separated value in that record for every column. The value may be an empty string or no value, but the comma separation of the record will correspond to the columns in the header record. 

If there is no header record, you may have to find out what the column layout is for the file. There is normally a descriptor in the same location as...

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