<｜begin▁of▁sentence｜>### Instruction:
Imagine you're coordinating with a disaster relief team to set up a mobile operations center, and you want to optimize the layout based on existing infrastructure nodes, which we're modeling as a Petersen graph. To efficiently arrange the facilities and ensure quick access between them, we need to map out the nodes on a plain layout. Could you guide us on how to apply NetworkX's 'combinatorial_embedding_to_pos' to generate and display the coordinates (x, y) for each node, assuming we've already derived the planar embedding? Think of each node as a critical point, like a supply drop-off or medical station, and we need this spatial blueprint to streamline our setup.
### Response:
import networkx as nx

# Create a planar graph
G = nx.petersen_graph()

# Check if the graph is planar and get an embedding
is_planar, embedding = nx.check_planarity(G)

if is_planar:
    # Use the combinatorial embedding to get the node positions
    pos = nx.combinatorial_embedding_to_pos(embedding)
    print(pos)
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