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Hands-On Data Analysis with NumPy and pandas

You're reading from Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781789530797

Length 168 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Author (1):

Curtis Miller

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Table of Contents (12) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Setting Up a Python Data Analysis Environment FREE CHAPTER

2. Diving into NumPY

3. Operations on NumPy Arrays

4. pandas are Fun! What is pandas?

5. Arithmetic, Function Application, and Mapping with pandas

6. Managing, Indexing, and Plotting

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Index

Plotting with pandas

In this section, we will be discussing the plotting methods provided by pandas series and DataFrames. You will see how to easily and quickly create a number of useful plots. pandas has not yet come up with plotting functionality that's entirely its own. Rather, plots created from pandas objects using pandas methods are just wrappers for more complex calls made to a plotting library called Matplotlib. This is a well-known library in the scientific Python community, one of the first plotting systems, and perhaps the most commonly used one, though other plotting systems are looking to supplant it.

It was initially inspired by the plotting system provided with MATLAB, though now it is its own beast, but not necessarily the easiest to use. Matplotlib has a lot of functionality, and we will only scratch the surface of plotting with it in this course. This section is the extent to which we discuss visualization with Python beyond particular instances, even though visualization...

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Authors (1)

Miller

Miller

Curtis Miller is a doctoral candidate at the University of Utah studying mathematical statistics. He writes software for both research and personal interest, including the R package (CPAT) available on the Comprehensive R Archive Network (CRAN). Among Curtis Miller's publications are academic papers along with books and video courses all published by Packt Publishing. Curtis Miller's video courses include Unpacking NumPy and Pandas, Data Acquisition and Manipulation with Python, Training Your Systems with Python Statistical Modelling, and Applications of Statistical Learning with Python. His books include Hands-On Data Analysis with NumPy and Pandas.

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