<｜begin▁of▁sentence｜>### Instruction:
Given a graph created as a 'karate club graph' where nodes represent members of the club and edges represent interactions between them, and assuming two communities divided based on node indices (first half of nodes as community 0 and the second half as community 1), how would you visualize the distribution of node degrees for each community using the 'degreeplot' function from graspologic.plot?
### Response:
import networkx as nx
from graspologic.plot import degreeplot
import matplotlib.pyplot as plt

# Create a graph
G = nx.karate_club_graph()

# Get the degree sequence
degrees = [d for n, d in G.degree()]

# Get labels (if communities are available)
# For this example, we assume two communities based on the node index
community_labels = [0 if node < len(G)//2 else 1 for node in G.nodes]

# Plot the degree distribution with node labels (communities)
ax = degreeplot(degrees, labels=community_labels, direction='out', title='Degree Distribution', context='talk', font_scale=1.2, figsize=(10, 5), palette='pastel')
plt.show()
<|EOT|>
