scipy.sparse.csgraph.
csgraph_from_dense#
- scipy.sparse.csgraph.csgraph_from_dense(graph, null_value=0, nan_null=True, infinity_null=True)#
- Construct a CSR-format sparse graph 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:
- csgraphcsr_array
- Compressed sparse representation of graph, 
 
 - Examples - >>> 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)>