<｜begin▁of▁sentence｜>### Instruction:
Imagine we're in the midst of drafting the wardrobe blueprint for our upcoming theatrical production, which we've been conceptualizing as an interconnected web of relationships within the costume department. The current relationships are outlined as follows: Fabric 'A' is paired with Accessory 'B', Accessory 'B' is matched with Material 'C', Fabric 'A' also complements Material 'C', and lastly, Accessory 'B' coordinates with Outfit 'D'. 

For our next brainstorming session, we need to sketch out a simplified version of this web, one that doesn't concern Material 'C' and also disregards the pairing between Fabric 'A' and Accessory 'B'. Could you help by suggesting how we might visualize this streamlined network of costume elements, effectively setting aside the specified material and combination?
### Response:
import networkx as nx

# Define the filter functions
def filter_node(n):
    return n != 'C'

def filter_edge(u, v):
    return u != 'A' or v != 'B'

# Create a graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('B', 'C'), ('A', 'C'), ('B', 'D')])

# Create the subgraph view using the filter functions
view = nx.subgraph_view(G, filter_node=filter_node, filter_edge=filter_edge)

# Print the nodes and edges present in the subgraph view
print('Nodes in view:', list(view.nodes()))
print('Edges in view:', list(view.edges()))
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