scipy.sparse.csgraph.
csgraph_masked_from_dense#
- 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)