cugraph.MultiGraph

class cugraph.MultiGraph(directed=False)

A Multigraph; a Graph containing more than one edge between vertex pairs.

Methods

density()	Density is the measure of how many edges are in the graph versus the max number of edges that could be present.
is_multigraph()	Returns True if the graph is a multigraph.

__init__(directed=False)

Methods

__init__([directed])
add_internal_vertex_id(df, ...[, drop, ...])	Given a DataFrame containing external vertex ids in the identified columns, return a DataFrame containing the internal vertex ids as the specified column name.
add_nodes_from(nodes)	Add nodes information to the Graph.
clear()	Empty the graph.
density()	Density is the measure of how many edges are in the graph versus the max number of edges that could be present.
from_cudf_adjlist(offset_col, index_col[, ...])	Initialize a graph from the adjacency list.
from_cudf_edgelist(input_df[, source, ...])	Initialize a graph from the edge list.
from_dask_cudf_edgelist(input_ddf[, source, ...])	Initializes the distributed graph from the dask_cudf.DataFrame edgelist.
from_numpy_array(np_array[, nodes])	Initializes the graph from numpy array containing adjacency matrix.
from_numpy_matrix(np_matrix)	Initializes the graph from numpy matrix containing adjacency matrix.
from_pandas_adjacency(pdf)	Initializes the graph from pandas adjacency matrix.
from_pandas_edgelist(pdf[, source, ...])	Initialize a graph from the edge list.
has_isolated_vertices()	Returns True if the graph has isolated vertices.
is_bipartite()	Checks if Graph is bipartite.
is_directed()	Returns True if the graph is a directed graph.
is_multi_gpu()	Returns True if the graph is a multi-gpu graph; otherwise returns False.
is_multigraph()	Returns True if the graph is a multigraph.
is_multipartite()	Checks if Graph is multipartite.
is_remote()	Returns True if the graph is remote; otherwise returns False.
is_renumbered()	Returns True if the graph is renumbered.
is_weighted()	Returns True if the graph has edge weights.
lookup_internal_vertex_id(df[, column_name])	Given a DataFrame containing external vertex ids in the identified columns, or a Series containing external vertex ids, return a Series with the internal vertex ids.
to_directed()	Return a directed representation of the graph.
to_undirected()	Return an undirected copy of the graph.
unrenumber(df, column_name[, ...])	Given a DataFrame containing internal vertex ids in the identified column, replace this with external vertex ids.