<｜begin▁of▁sentence｜>### Instruction:
Given a random graph with 100 nodes and 200 edges, how can you use graspologic's degreeplot to visualize the degree distribution?
### Response:
import matplotlib.pyplot as plt
import networkx as nx
from graspologic.plot import degreeplot

# Generate a random graph
G = nx.gnm_random_graph(100, 200)

# Get the degree for each node
degrees = [deg for _, deg in G.degree()]

# Plot the degree distribution
ax = degreeplot(degrees, title='Degree Distribution', context='talk', font_scale=1.25, figsize=(8, 6), palette='Set1')
plt.show()
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