<｜begin▁of▁sentence｜>### Instruction:
Imagine you're the maestro of a kitchen, ready to create a simple yet elegant dish to showcase your culinary expertise—a dish that's the equivalent to what we in the world of graph theory call a "trivial graph." As a master chef, you usually deal with an array of ingredients (nodes) and combinations (edges), but for this particular creation, I need you to focus on one single exquisite element with no combinations.

Using the flavor palate of NetworkX, the recipe calls for the 'trivial_graph' function to concoct this dish. Picture standing in your kitchen, the cameras are rolling for your next hit TV show, and you're about to introduce your audience to the essence of simplicity. Could you walk me through how you would craft this dish using NetworkX? Visualize what this solitary ingredient would look like on the plate and what accents would be absent since we're focusing on purity. I'm eager to see how this elemental representation of a graph would turn out under your skilled hands.
### Response:
import networkx as nx

# Generate the trivial graph with one node
TG = nx.trivial_graph()

# Display the nodes and edges of the trivial graph
print('Nodes:', list(TG.nodes))
print('Edges:', list(TG.edges))
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