<｜begin▁of▁sentence｜>### Instruction:
As a medical illustrator, you might encounter a scenario where you need to visually represent a bipartite graph of interactions between different medical procedures and the healthcare professionals who perform them. For this task, you may need to use the get_biadjacency function in the igraph library to obtain the bipartite adjacency matrix and the vertex mappings for the rows and columns. This will help you create a visual illustration that effectively communicates the complex network of interactions within the medical field.
### Response:
import igraph as ig

# Example usage
# Create a bipartite graph
edges = [(0, 2), (0, 3), (1, 3)]
types = [0, 0, 1, 1]  # 0 for the first vertex class, 1 for the second
g = ig.Graph.Bipartite(types, edges)

# Get the bipartite adjacency matrix
matrix, row_vertices, col_vertices = g.get_biadjacency(types=types)

# Display the results
print('Bipartite adjacency matrix:')
print(matrix)
print('Row vertex map:', row_vertices)
print('Column vertex map:', col_vertices)
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