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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
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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 2. NumPy Arrays FREE CHAPTER 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

matplotlib subpackages

If we pick up our pkg_check.py file provided in the code bundle and change the code to list the matplotlib subpackages, we get the following result:

matplotlib version 1.3.1
matplotlib.axes
matplotlib.backends
matplotlib.compat
matplotlib.delaunay DESCRIPTION :Author: Robert Kern <[email protected]> :Copyright: Copyright 2005 Robert Kern. :License: BSD-style license. See LICENSE.tx
matplotlib.projections
matplotlib.sphinxext
matplotlib.style
matplotlib.testing
matplotlib.tests
matplotlib.tri

The subpackage names are pretty self-explanatory. Backends refers to the way the end result is output. This can be one of several file formats or on the screen in a graphical user interface. For completeness, refer to the following snippet with the changed lines in pkg_check.py:

import matplotlib as mpl

print "matplotlib version", mpl.__version__

print_desc("matplotlib", mpl.__path__)
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