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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

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787127487
Length 330 pages
Edition 2nd Edition
Languages
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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 (16) Chapters Close

Preface 1. Getting Started with Python Libraries 2. NumPy Arrays FREE CHAPTER 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 matplotlib subpackages


If we change the code in the last section of ch-01.ipynb 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   
    <robert.kern@gmail.com> :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 that the end result is output. This output can be in one of several file formats or displayed on the screen in a graphical user interface.

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