Skip to Main Content
SQL Server 2017 Developer???s Guide
book

SQL Server 2017 Developer???s Guide

by Dejan Sarka, Miloš Radivojević, William Durkin
March 2018
Intermediate to advanced content levelIntermediate to advanced
816 pages
19h 35m
English
Packt Publishing
Content preview from SQL Server 2017 Developer???s Guide

Organizing data with pandas

The pandas library is built on the top of the numpy library. Therefore, in order to use pandas, you need to import numpy first. The pandas library introduces many additional data structures and functions. Let's start our pandas tour with the panda Series object. This is a one-dimensional array, like a numpy array; however, you can define an explicitly named index, and refer to those names to retrieve the data, not just to the positional index. Therefore, a pandas Series object already looks like a tuple in the relational model, or a row in a table. The following code imports both packages, numpy and pandas. Then it defines a simple pandas Series, without an explicit index. The Series looks like a simple single-dimensional ...

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

SQL Server 2016 Developer's Guide

SQL Server 2016 Developer's Guide

Miloš Radivojević, Dejan Sarka, William Durkin
Mastering SQL Server 2017

Mastering SQL Server 2017

Milos Radivojevic, Dejan Sarka, William Durkin, Christian Cote, Matija Lah

Publisher Resources

ISBN: 9781788476195Supplemental Content