`scipy.sparse.csgraph._tools:csgraph_from_dense`

Signature

def csgraph_from_dense(graph, null_value = 0, nan_null = True, infinity_null = True)

Construct a CSR-format sparse graph from a dense matrix.

graph : array_like: Input graph. Shape should be (n_nodes, n_nodes).
null_value : float or None (optional): Value that denotes non-edges in the graph. Default is zero.
nan_null : bool: If True (default), then NaN entries are treated as non-edges
infinity_null : bool: If True (default), then infinite entries (both positive and negative) are treated as null edges.

from scipy.sparse.csgraph import csgraph_from_dense

✓

graph = [
[0, 1, 2, 0],
[0, 0, 0, 1],
[0, 0, 0, 3],
[0, 0, 0, 0]
]

✓

csgraph_from_dense(graph)

✗

<Compressed Sparse Row sparse array of dtype 'float64'
	with 4 stored elements and shape (4, 4)>