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IPython Interactive Computing and Visualization Cookbook

You're reading from   IPython Interactive Computing and Visualization Cookbook Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781785888632
Length 548 pages
Edition 2nd Edition
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Author (1):
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Cyrille Rossant Cyrille Rossant
Author Profile Icon Cyrille Rossant
Cyrille Rossant
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Toc

Table of Contents (17) Chapters Close

Preface 1. A Tour of Interactive Computing with Jupyter and IPython FREE CHAPTER 2. Best Practices in Interactive Computing 3. Mastering the Jupyter Notebook 4. Profiling and Optimization 5. High-Performance Computing 6. Data Visualization 7. Statistical Data Analysis 8. Machine Learning 9. Numerical Optimization 10. Signal Processing 11. Image and Audio Processing 12. Deterministic Dynamical Systems 13. Stochastic Dynamical Systems 14. Graphs, Geometry, and Geographic Information Systems 15. Symbolic and Numerical Mathematics Index

Drawing flight routes with NetworkX

In this recipe, we load and visualize a dataset containing many flight routes and airports around the world (obtained from the OpenFlights website at https://openflights.org/data.html).

Getting ready

To draw the graph on a map, you need Cartopy, available at http://scitools.org.uk/cartopy/. You can install it with conda install -c conda-forge cartopy.

How to do it...

  1. Let's import a few packages:
    >>> import math
        import json
        import numpy as np
        import pandas as pd
        import networkx as nx
        import cartopy.crs as ccrs
        import matplotlib.pyplot as plt
        from IPython.display import Image
        %matplotlib inline
  2. We load the first dataset containing many flight routes:
    >>> names = ('airline,airline_id,'
                 'source,source_id,'
                 'dest,dest_id,'
                 'codeshare,stops,equipment').split(',')
    >>> routes = pd.read_csv(
            'https://github...
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