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Mastering Python Networking

You're reading from   Mastering Python Networking Your one stop solution to using Python for network automation, DevOps, and SDN

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781784397005
Length 446 pages
Edition 1st Edition
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Author (1):
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Eric Chou Eric Chou
Author Profile Icon Eric Chou
Eric Chou
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Table of Contents (14) Chapters Close

Preface 1. Review of TCP/IP Protocol Suite and Python Language 2. Low-Level Network Device Interactions FREE CHAPTER 3. API and Intent-Driven Networking 4. The Python Automation Framework - Ansible Basics 5. The Python Automation Framework - Ansible Advance Topics 6. Network Security with Python 7. Network Monitoring with Python - Part 1 8. Network Monitoring with Python - Part 2 9. Building Network Web Services with Python 10. OpenFlow Basics 11. Advanced OpenFlow Topics 12. OpenStack, OpenDaylight, and NFV 13. Hybrid SDN

Python visualization


We gather network data for the purpose of gaining insight into our network. One of the best ways to know what the data means is to visualize them with graphs. This is true for almost all data, but especially true for time series data in the context of network monitoring. How much data was transmitted on the wire in the last week? What is the percentage of the TCP protocol among all of the traffic? These are values we can glean from using data-gathering mechanisms, such as SNMP, and visualize with some of the popular Python libraries.

In this section, we will use the data we collected from the last section on SNMP and use two popular Python libraries--Matplotlib and Pygal--to graph them.

Matplotlib

Matplotlib (http://matplotlib.org/) is a plotting library for the Python library and its NumPy mathematical extension. It can produce publication-quality figures, such as plots, histograms, and bar graphs with a few lines of code.

Note

NumPy is an extension of the Python programming...

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