<｜begin▁of▁sentence｜>### Instruction:
Imagine you're working on a solar energy project where you have two different wiring diagrams, Diagram G and Diagram H. Diagram G shows a connection from Component 1 to Component 2 with a flow rate of 2 units, and Diagram H outlines a separate system where power flows from Component 2 to Component 3 at a rate of 3 units. To facilitate a comprehensive overview of the component interfacing, specifically concerning Component 2's interactions across both diagrams, you're looking to create a unified, non-editable schematic that merges the outgoing connections of Component 2 from Diagram G with the incoming connections to Component 2 from Diagram H. Could you explain how we could use NetworkX's UnionAtlas to craft this merged, view-only wiring layout?
### Response:
import networkx as nx

# Create two directed graphs
G = nx.DiGraph()
H = nx.DiGraph()

# Add edges with attributes to each graph
G.add_edge(1, 2, weight=2)
H.add_edge(2, 3, weight=3)

# Access the successors of node 2 in G
G_succ = G.succ[2]
# Access the predecessors of node 2 in H
H_pred = H.pred[2]

# Create a UnionAtlas view to have a readonly union of the predecessors and successors of node 2
union_atlas = nx.classes.coreviews.UnionAtlas(G_succ, H_pred)

# Print out the readonly UnionAtlas
for key, value in union_atlas.items():
    print(f'{key}: {value}')
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