csgraph_masked_from_dense — SciPy v1.15.2 Manual (original) (raw)

scipy.sparse.csgraph.

scipy.sparse.csgraph.csgraph_masked_from_dense(graph, null_value=0, nan_null=True, infinity_null=True, copy=True)#

Construct a masked array graph representation from a dense matrix.

Added in version 0.11.0.

Parameters:

grapharray_like

Input graph. Shape should be (n_nodes, n_nodes).

null_valuefloat or None (optional)

Value that denotes non-edges in the graph. Default is zero.

infinity_nullbool

If True (default), then infinite entries (both positive and negative) are treated as null edges.

nan_nullbool

If True (default), then NaN entries are treated as non-edges

Returns:

csgraphMaskedArray

masked array representation of graph

Examples

from scipy.sparse.csgraph import csgraph_masked_from_dense

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

csgraph_masked_from_dense(graph) masked_array( data=[[--, 1, 2, --], [--, --, --, 1], [--, --, --, 3], [--, --, --, --]], mask=[[ True, False, False, True], [ True, True, True, False], [ True, True, True, False], [ True, True, True, True]], fill_value=0)