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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

View More author details

Table of Contents (8) Chapters

Preface

1. Setting Up a Python Data Analysis Environment

2. Diving into NumPY FREE CHAPTER

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

7. Other Books You May Enjoy

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Summary

In this chapter, we covered arithmetic operations with pandas DataFrames, vectorization, and DataFrame function applications. We also learned how to handle missing data in a pandas DataFrame by deleting or filling in missing information. In the next chapter, we will look at sorting, ranking, and common tasks in data analysis projects.

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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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