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Python Data Analysis

You're reading from   Python Data Analysis Learn how to apply powerful data analysis techniques with popular open source Python modules

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Product type Paperback
Published in Oct 2014
Publisher
ISBN-13 9781783553358
Length 348 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started with Python Libraries FREE CHAPTER 2. NumPy Arrays 3. Statistics and Linear Algebra 4. pandas Primer 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
Index

statsmodels subpackages


To install statsmodels, execute the following command:

$ pip install statsmodels
$ pip freeze|grep stat
statsmodels==0.6.0

Open the pkg_check.py file provided in the code bundle, and change the code to list the statsmodels subpackages to get the following result:

statmodels version 0.6.0.dev-3303360
statsmodels.base 
statsmodels.compatnp 
statsmodels.datasets 
statsmodels.discrete 
statsmodels.distributions 
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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