<｜begin▁of▁sentence｜>### Instruction:
Imagine you're a Coffee Roaster who has a unique method of categorizing various types of coffee beans and their sequential roasting processes. You have labeled your beans as 'Node0', 'Node1', 'Node2', 'Node3', 'Node4', and the routes to get from one bean type to the next as 'Edge0-1', 'Edge1-2', 'Edge2-3', 'Edge3-4'. How would you use the dfs_edges function from NetworkX to map out a depth-first search path to follow the roasting processes starting from 'Node0' and not proceeding beyond a depth limit of two stages?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()

# Add nodes and edges to the graph
G.add_nodes_from([(0, {'label': 'Node0'}), (1, {'label': 'Node1'}), (2, {'label': 'Node2'}), (3, {'label': 'Node3'}), (4, {'label': 'Node4'})])
G.add_edges_from([(0, 1, {'label': 'Edge0-1'}), (1, 2, {'label': 'Edge1-2'}), (2, 3, {'label': 'Edge2-3'}), (3, 4, {'label': 'Edge3-4'})])

# Use dfs_edges to get the edges in the DFS traversal
edges_in_dfs = list(nx.dfs_edges(G, source=0, depth_limit=2))

# Print the DFS edges with depth limit
print('DFS Edges with depth limit:', edges_in_dfs)
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