<｜begin▁of▁sentence｜>### Instruction:
Given a bipartite graph with one set of nodes ['A', 'B', 'C', 'D', 'E', 'F'] and another set [1, 2, 3, 4], and edges [('A', 1), ('B', 1), ('C', 2), ('D', 3), ('E', 3), ('F', 4)], how can you use NetworkX to find the minimum edge cover?
### Response:
import networkx as nx
from networkx.algorithms import min_edge_cover

# Create a bipartite graph
G = nx.Graph()
G.add_nodes_from(['A', 'B', 'C', 'D', 'E', 'F'], bipartite=0)
G.add_nodes_from([1, 2, 3, 4], bipartite=1)
G.add_edges_from([('A', 1), ('B', 1), ('C', 2), ('D', 3), ('E', 3), ('F', 4)])

# Find the minimum edge cover
edge_cover = min_edge_cover(G)

print("Minimum Edge Cover:", edge_cover)
<|EOT|>
