<｜begin▁of▁sentence｜>### Instruction:
Imagine a scenario in which our clinic's network of patient referrals is represented as a connectivity map, with each point or 'node' symbolizing a medical specialist, and the lines or 'edges' connecting them standing for the referral pathways between doctors. In this referral network, we have connections established between different specialists: Dermatologist (1) refers to an Allergist (2), who further refers patients to an Immunologist (3), and then finally to a Rheumatologist (4).

For an upcoming medical analysis meeting, we wish to examine the referral patterns excluding the direct connection between the Allergist (2) and the Immunologist (3), without permanently altering the overall structure of our patient referral map. We'd use a visualization tool, possibly akin to the 'hide_edges' function seen in network analysis software like NetworkX, to temporarily remove this specific referral pathway for the discussion purpose. This would keep our complete referral network intact for future reference and daily operational use.

Could you assist us in executing this task within the context of a patient referral network visualization, while ensuring we maintain the original comprehensive graph for continual clinic use?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
# Add some edges
G.add_edges_from([(1, 2), (2, 3), (3, 4)])

# Hide an edge
hidden_edges = [(2, 3)]
H = nx.hide_edges(G, hidden_edges)

# Print the edges of the original and modified graphs
print('Original edges:', list(G.edges()))
print('Edges after hiding:', list(H.edges()))
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