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).
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
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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
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.com/ipython-books/' 'cookbook-2nd-data/blob/master...