<｜begin▁of▁sentence｜>### Instruction:
As a seasoned building inspector, you're accustomed to assessing structures for compliance with various regulations, just as nodes and connections within them must adhere to specific standards in a network diagram. Imagine you are examining a blueprint that includes four main components, labeled 'Node 1', 'Node 2', 'Node 3', and 'Node 4'. In this schematic, 'Node 1' is directly connected to 'Node 2', and similarly, 'Node 3' is connected to 'Node 4'. For the purposes of safety and efficiency, it's crucial to determine whether there are any components that stand alone, without any connections—akin to isolated sections of a building that may require special attention.

Now, taking into account the principles of networking akin to building inspection, could you determine the count of such standalone elements within the structure of this network using the 'number_of_isolates' function provided by NetworkX? Note that this evaluation is analogous to identifying isolated parts of a building that might not comply with the standard connectedness of the structural design. This analysis is crucial as it can impact the integrity and functionality of the entire network structure.
### Response:
import networkx as nx

# Create a new graph
G = nx.Graph()

# Add nodes to the graph
G.add_nodes_from([(1, {'label': 'Node 1'}), (2, {'label': 'Node 2'}), (3, {'label': 'Node 3'}), (4, {'label': 'Node 4'})])

# Add edges between some of the nodes
g.add_edges_from([(1, 2, {'label': 'Edge 1-2'}), (3, 4, {'label': 'Edge 3-4'})])

# Node 2 and Node 3 have no edges and therefore are isolates.
# Use the number_of_isolates function to count the isolates in the graph.
num_isolates = nx.number_of_isolates(G)

print(f'The number of isolates is: {num_isolates}')
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