<｜begin▁of▁sentence｜>### Instruction:
As an Herbalist, imagine you are organizing and categorizing different types of herbal remedies used to promote health and well-being. You have a graph representing these herbal remedies, with data indicating the type of remedy associated with each vertex, labeled as 'A' to 'E'. You want to calculate the degree of assortativity based on the type attribute of the remedies, represented by the list [0, 1, 1, 0, 1] for the vertices ['A', 'B', 'C', 'D', 'E']. You plan to use the GraphBase module in the igraph API to perform this analysis.
### Response:
from igraph import Graph

# Create an example graph
vertices = ['A', 'B', 'C', 'D', 'E']
edges = [(0, 1), (0, 2), (2, 3), (3, 4)]
types = [0, 1, 1, 0, 1]

# Create graph object and add vertices and edges
g = Graph()
g.add_vertices(vertices)
g.add_edges(edges)

# Add a vertex attribute named 'type' for the vertex types
g.vs['type'] = types

# Calculate assortativity based on 'type'
assort_coef = g.assortativity(types1='type', directed=False)
print(assort_coef)
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