<｜begin▁of▁sentence｜>### Instruction:
Given an undirected graph with vertices ['A', 'B', 'C', 'D', 'E'] and the edges [(0, 1), (0, 2), (0, 3), (0, 4), (1, 2)], and each vertex assigned a type from [1, 2, 1, 3, 1] representing their group, can you calculate the assortativity of the graph based on these numeric properties of the vertices?
### Response:
from igraph import Graph

# Create a simple undirected graph
vertices = ['A', 'B', 'C', 'D', 'E']
edges = [(0, 1), (0, 2), (0, 3), (0, 4), (1, 2)]
g = Graph(edges=edges)

# Assign vertex types (eg. could represent categories or groups)
types = [1, 2, 1, 3, 1]
g.vs['type'] = types

# Calculate the assortativity based on the 'type' vertex attribute
assortativity_coefficient = g.assortativity(types1='type', directed=False)
print('Assortativity Coefficient:', assortativity_coefficient)
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