Skip to Content
Jupyter Cookbook
book

Jupyter Cookbook

by Toomey, Nikhil Borkar, Nikhil Akki, Juan Tomás Oliva Ramos
April 2018
Beginner content levelBeginner
238 pages
7h 13m
English
Packt Publishing
Content preview from Jupyter Cookbook

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 ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Cookbook, 3rd Edition

Python Cookbook, 3rd Edition

David Beazley, Brian K. Jones
Pandas 1.x Cookbook - Second Edition

Pandas 1.x Cookbook - Second Edition

Matthew Harrison, Theodore Petrou
bash Cookbook, 2nd Edition

bash Cookbook, 2nd Edition

Carl Albing, JP Vossen

Publisher Resources

ISBN: 9781788839440Supplemental Content