<｜begin▁of▁sentence｜>### Instruction:
Imagine we're coordinating a relief effort following a natural disaster, and we've mapped out the main routes of the affected area as a path graph in a GML file named "path_graph.gml." This graph represents critical paths we can use for aid distribution. It starts at point 0 and goes through points 1, 2, and ends at point 3. 

We've identified that points 0, 1, and 3 are accessible and crucial for our logistics, but point 2 is currently blocked and inaccessible. We need to focus our planning on the usable routes. 

Could you outline a methodology for creating a subgraph from our "path_graph.gml" that would only include the accessible points (0, 1, and 3) and the pathways directly connecting them? This subgraph will aid us in visualizing and planning the most efficient paths for delivering the much-needed relief supplies to the affected population.
### Response:
import networkx as nx
G = nx.path_graph(4)
H = nx.induced_subgraph(G, [0, 1, 3])
print(list(H.edges()))
print(list(H.nodes()))
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