<｜begin▁of▁sentence｜>### Instruction:
Imagine you've choreographed a complex dance routine, where the movements and connections between the dancers are captured in a pattern similar to a graph in a file named 'file.leda'. Now, envision turning this intricate dance framework into a clear picture using the NetworkX's 'read_leda' function, a tool as essential to us as the music to which we dance. Could you walk me through how we would gracefully load this dance graph from 'file.leda', and then, as if announcing our dancers onto the stage, how would you unveil the list of dancers (nodes) and their precise dance moves and connections (edges) using this tool?
### Response:
import networkx as nx

# Assuming 'file.leda' is the path to a file in LEDA format
G = nx.read_leda('file.leda')

# print the nodes and edges
print('Nodes:', G.nodes())
print('Edges:', G.edges())
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