<｜begin▁of▁sentence｜>### Instruction:
Given a directed graph where each node has an identifier and label, and each edge has a source, target, and label, how can you create a JSON representation of the graph that excludes certain directed edges for visualization purposes (pretend the function 'hide_diedges' exists)?
### Response:
import networkx as nx

# Create a directed graph
DG = nx.DiGraph()

# Add nodes with labels
DG.add_node(1, label='Node 1')
DG.add_node(2, label='Node 2')

# Add edges with labels
DG.add_edge(1, 2, label='Edge from 1 to 2')

# Hide directed edges for a certain condition or process
# Assuming hide_diedges is a function that hides edges for visualization
# As `hide_diedges` is not a standard NetworkX function, it is not implemented here.
# Theoratically, let's say it takes a DiGraph and hides directed edges.
hidden_edges_DG = hide_diedges(DG)

# Generating JSON representation of the graph without displayed directed edges (hidden)
graph_json = {
  'graph nodes': [{'id': node, 'label': DG.nodes[node]['label']} for node in hidden_edges_DG.nodes()],
  'graph edges': [{'source': u, 'target': v, 'label': hidden_edges_DG.edges[u, v]['label']} for u, v in hidden_edges_DG.edges() if 'hidden' not in hidden_edges_DG.edges[u, v]]
}

print(graph_json)
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