<｜begin▁of▁sentence｜>### Instruction:
In the context of our current project analyzing the impact of transportation policies on urban connectivity, imagine we have compiled data on a simplified transit route connecting five districts, labeled A through E, with direct transit links between each consecutive pair of districts—A to B, B to C, and so on up to D to E. To enhance our report with a visual representation, we would like to include a 'network text' ASCII art diagram of this route network, as provided by the NetworkX library. This diagram would ideally present the districts in a vertical orientation, allowing readers to intuitively grasp the sequential nature of the transit connections.

For our next team meeting, could you take the lead on drafting a scenario where we incorporate this vertically-oriented ASCII art diagram of our transit route into our policy analysis documentation? This would involve using the NetworkX library to generate the representation. All associated data detailing the nodes and edges of our linear route model will be stored in the accompanying graph data file, which we shall refer to as 'linear_route.gml' for clarity within our documentation and codebase. Your expertise in this area will be invaluable for communicating our findings effectively.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_node('A')
G.add_node('B')
G.add_node('C')
G.add_node('D')
G.add_node('E')
G.add_edge('A', 'B')
G.add_edge('B', 'C')
G.add_edge('C', 'D')
G.add_edge('D', 'E')

# Generate lines in the "network text" format
for line in nx.generate_network_text(G, with_labels=True, sources=['A'], max_depth=None, ascii_only=False, vertical_chains=True):
    print(line)
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