<｜begin▁of▁sentence｜>### Instruction:
Imagine you're charting a simplified map of patient transfers within a ward using a digital tool. The map you're creating uses points to represent patient beds and lines to indicate transfers between them. You have data in the form of a sparse array [[0, 1], [1, 0]], where the value 1 indicates a direct transfer route between two beds.

How would you go about inputting this transfer data into your NetworkX tool, utilizing the feature 'from_scipy_sparse_array', to accurately represent and review the connections between the beds? The aim is to visualize the transfer pathways for better coordination of patient care and movement within the ward.
### Response:
import networkx as nx
import scipy.sparse as sp

# Create a SciPy sparse array
A = sp.sparse.csr_matrix([[0, 1], [1, 0]])

# Create a NetworkX graph from the SciPy sparse array
G = nx.from_scipy_sparse_array(A)

# Print the edges of the graph
print(list(G.edges(data=True)))
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