<｜begin▁of▁sentence｜>### Instruction:
Given a graph with nodes connected in a path (0-1-2-3-4) and the attribute 'gender' assigned to each node such that node 0 and node 3 are 'male', and nodes 1, 2, and 4 are 'female', can you calculate the attribute mixing matrix for the 'gender' attribute using a predefined mapping where males are indexed at 0 and females are indexed at 1?
### Response:
import networkx as nx
import numpy as np

# Create a graph
G = nx.Graph()

# Add edges
G.add_edges_from([(0, 1), (1, 2), (2, 3), (3, 4)])

# Add gender attribute to each node
gender = {0: 'male', 1: 'female', 2: 'female', 3: 'male', 4: 'female'}
nx.set_node_attributes(G, gender, 'gender')

# Define the mapping from attribute value to matrix index
mapping = {'male': 0, 'female': 1}

# Calculate attribute mixing matrix
mix_mat = nx.attribute_mixing_matrix(G, 'gender', mapping=mapping)

# Print the mixing matrix
print(mix_mat)
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