<｜begin▁of▁sentence｜>### Instruction:
Given a social network graph with four users (nodes 'A', 'B', 'C', 'D'), and defined partitions where 'A' and 'B' belong to partition 1, 'C' to partition 0, and 'D' to partition 2, can you use graspologic's categorical_colors function to generate a color for each partition which can be used to visualize the graph with users colored according to their community? Also, use networkx to apply these colors to the graph's nodes and print the graph's node data with the associated color attributes.
### Response:
import networkx as nx
from graspologic.layouts import categorical_colors

# Create example graph and partitions
data = {'A': 1, 'B': 1, 'C': 0, 'D': 2}
G = nx.Graph([('A', 'B'), ('A', 'C'), ('B', 'D'), ('C', 'D')])

# Generate colors for each partition
colors = categorical_colors(partitions=data, light_background=True)

# Apply colors to the networkx graph
nx.set_node_attributes(G, colors, 'color')

# Print the generated colors and the graph nodes with associated colors
print(colors)
print(G.nodes(data=True))
<|EOT|>
