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Number of edges over time

You're now going to get some practice plotting other evolving graph statistics. We'll start with a simpler exercise to kick things off. First off, plot the number of edges over time.

To do this, you'll create a list of the number of edges per month. The index of this list will correspond to the months elapsed since the first month.

This exercise is part of the course

Intermediate Network Analysis in Python

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Exercise instructions

  • Import matplotlib.pyplot as plt.
  • Create a list of the number of edges per month called edge_sizes. Use a list comprehension to do this, where you iterate over Gs using an iterator variable called g, and your output expression is len(g.edges()).
  • Plot edge sizes over time.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import matplotlib
____

fig = plt.figure()

# Create a list of the number of edges per month
edge_sizes = [____]

# Plot edge sizes over time
plt.plot(____)
plt.xlabel('Time elapsed from first month (in months).') 
plt.ylabel('Number of edges')                           
plt.show()
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