<｜begin▁of▁sentence｜>### Instruction:
Given a bipartite graph with node sets ['A', 'C'] and ['B', 'D'], and edges [('A', 'B', {'weight': 5}), ('C', 'D', {'capacity': 10})], how can we generate an edge list in string format showing the connections between nodes? Provide an example to generate the edge list without any additional data, one with all edge data in dictionary format, and one with only specific edge data such as weights.
### Response:
import networkx as nx

from networkx.algorithms import bipartite

# Create a bipartite graph
G = nx.Graph()
G.add_nodes_from(['A', 'C'], bipartite=0)
G.add_nodes_from(['B', 'D'], bipartite=1)
G.add_edge('A', 'B', weight=5)
G.add_edge('C', 'D', capacity=10)

# Generate edge list without data
for line in bipartite.generate_edgelist(G, data=False):
    print(line)

# Output:
# A B
# C D

# Generate edge list with data dictionary
for line in bipartite.generate_edgelist(G, data=True):
    print(line)

# Output:
# A B {'weight': 5}
# C D {'capacity': 10}

# Generate edge list with specific data keys
for line in bipartite.generate_edgelist(G, data=['weight']):
    print(line)

# Output:
# A B 5
# C D
<|EOT|>
