<｜begin▁of▁sentence｜>### Instruction:
Imagine you are mapping out a network of patients who are part of a sleep study, with the intention of analyzing patterns in group therapy sessions. In this network, we represent each patient as a node, and an edge indicates that two patients have attended the same therapy session. The current network has 5 patients (nodes), but only the following session pairs have been recorded: Patient 0 with Patient 1, Patient 1 with Patient 2, and Patient 3 with Patient 4. As a sleep specialist, to tailor individual therapy plans, you would need to identify the patients who have not been paired with any others in the study, similar to isolates in a graph. Could you determine the number of such patients, who have no recorded shared sessions (edges) with other patients, using this network data?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_nodes_from(range(5))
G.add_edges_from([(0, 1), (1, 2), (3, 4)])

# Count the number of isolates
num_isolates = nx.number_of_isolates(G)

print('Number of isolates in the graph:', num_isolates)
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