4. Handling Data with pandas | IPython Notebook Essentials

The Series class

A Series object represents a one-dimensional, indexed series of data. It can be thought of as a dictionary, with one main difference: the indexes in a Series class are ordered. The following example constructs a Series object and displays it:

grades1 = Series([76, 82, 78, 100],
                 index = ['Alex', 'Robert', 'Minnie', 'Alice'],
                 name = 'Assignment 1', dtype=float64)
grades1

This produces the following output:

Alex       76
Robert     82
Minnie     78
Alice     100
Name: Assignment 1, dtype: float64

Notice the format of the constructor call:

Series(<data>, index=<indexes>, name=<name>, dtype=<type>)

Both data and indexes are usually lists or NumPy arrays, but can be any Python iterable. The lists must have the same length. The name variable is a string that describes the data in the series. The type variable is a NumPy data type. The indexes and the name variables are optional (if indexes are omitted, they are set to integers...

Tech Concepts

Programming languages

Tech Tools

Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

50+ new titles added per month and exclusive early access to books as they are being written.

IPython Notebook Essentials

By : Martins

IPython Notebook Essentials

By: Martins

Overview of this book

The Series class

IPython Notebook Essentials

By : Martins

IPython Notebook Essentials

By: Martins

Overview of this book

The Series class

Confirmation

Buy this book with your credits?

Submit Your Feedback

Create a Free Account To Continue Reading

Sign in to activate your 7-day free access