<｜begin▁of▁sentence｜>### Instruction:
Imagine you're tending to a collection of greenhouses, where pathways between certain greenhouses represent your edges: [(0,1), (1,2), (2,3), (5,6), (3,4)]. Each greenhouse is represented by a number, and a direct path exists only between connected numbers. To optimize travel time and resources, you want to figure out whether it's necessary to visit each greenhouse individually or if some are already connected via these direct pathways. How would you determine the total number of separate groups, or "connected components," of greenhouses that aren't linked by any of the existing pathways?
### Response:
import networkx as nx

# Create an undirected graph
G = nx.Graph()

# Add edges
g_edges = [(0,1), (1,2), (2,3), (5,6), (3,4)]
G.add_edges_from(g_edges)

# Get the number of connected components
number_of_components = nx.number_connected_components(G)

print('Number of connected components:', number_of_components)
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