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Python Data Analysis, Second Edition

You're reading from Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787127487

Length 330 pages

Edition 2nd Edition

Languages

Python

Tools

Scikit-learn

Concepts

Data Analysis

Author (1):

Ivan Idris

View More author details

Table of Contents (16) Chapters

Preface

1. Getting Started with Python Libraries FREE CHAPTER

2. NumPy Arrays

3. The Pandas Primer

4. Statistics and Linear Algebra

5. Retrieving, Processing, and Storing Data

6. Data Visualization

7. Signal Processing and Time Series

8. Working with Databases

9. Analyzing Textual Data and Social Media

10. Predictive Analytics and Machine Learning

11. Environments Outside the Python Ecosystem and Cloud Computing

12. Performance Tuning, Profiling, and Concurrency

A. Key Concepts

B. Useful Functions

C. Online Resources

The statsmodels modules

To install statsmodels, execute the following command:

$ pip3 install statsmodels

In the attached ch-07.ipynb file, we list the statsmodels modules to get the following result:

statmodels version 0.6.1
statsmodels.base  
statsmodels.compat  
statsmodels.datasets  
statsmodels.discrete  
statsmodels.distributions  
statsmodels.duration  
statsmodels.emplike  
statsmodels.formula  
statsmodels.genmod  
statsmodels.graphics  
statsmodels.interface  
statsmodels.iolib  
statsmodels.miscmodels  
statsmodels.nonparametric 
DESCRIPTION For an overview of this module, see docs/source/nonparametric.rst PACKAGE CONTENTS _kernel_base _smoothers_lowess api bandwidths statsmodels.regression  
statsmodels.resampling  
statsmodels.robust  
statsmodels.sandbox  
statsmodels.stats  
statsmodels.tests  
statsmodels.tools  
statsmodels.tsa

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Authors (1)

Idris

Idris

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.

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