<｜begin▁of▁sentence｜>### Instruction:
Imagine you're crafting an exquisite menu for a dinner event that brings together three distinct groups of culinary aficionados. Each group has its own unique palate and dietary preferences, and to present the menu with visual flair, you want to use a color-coded scheme to represent each group distinctly and harmoniously against the light backdrop of the menu pages.

You've come across the 'categorical_colors' function from the graspologic API, which, in this case, serves as your flavor palette for visually distinguishing these groups on your menu, akin to designating appetizers, mains, and desserts with their own color theme. The challenge before you is to adapt this function to create a harmonious color mapping for your 20 esteemed guests, ensuring that each group is represented by a unique and aesthetically pleasing color that stands out on the menu, celebrating their community's gastronomic theme.

How might one go about utilizing this 'categorical_colors' feature from graspologic to elegantly assign the colors to the guests’ groups, keeping in mind the light canvas of the menu page on which these colors will be featured?
### Response:
import networkx as nx
from graspologic.layouts import categorical_colors

# Assume we have a graph and a community partitioning
G = nx.erdos_renyi_graph(n=20, p=0.05)
partitions = {i: i % 3 for i in G.nodes()}  # Simple example: 3 communities (0, 1, 2)

# Generate colors for each node based on the community partitions
# This example uses the default light background theme
node_colors = categorical_colors(partitions=partitions)

# Apply the colors to the nodes for visualization
nx.draw(G, node_color=[node_colors[node] for node in G.nodes()], with_labels=True)
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