cugraph.structure.graph_implementation.simpleGraphImpl.degrees#

simpleGraphImpl.degrees(vertex_subset: Optional[Union[Series, Iterable]] = None) → DataFrame[source]#

Compute vertex in-degree and out-degree. By default, this method computes vertex degrees for the entire set of vertices. If vertex_subset is provided, this method optionally filters out all but those listed in vertex_subset.

Parameters:

vertex_subsetcudf.Series or iterable container, optional: A container of vertices for displaying corresponding degree. If not set, degrees are computed for the entire set of vertices.

Returns:

dfcudf.DataFrame

GPU DataFrame of size N (the default) or the size of the given vertices (vertex_subset) containing the degrees. The ordering is relative to the adjacency list, or that given by the specified vertex_subset.

df[‘vertex’]cudf.Series: The vertex IDs (will be identical to vertex_subset if specified).
df[‘in_degree’]cudf.Series: The in-degree of the vertex.
df[‘out_degree’]cudf.Series: The out-degree of the vertex.

Examples

>>> M = cudf.read_csv(datasets_path / 'karate.csv', delimiter=' ',
...                   dtype=['int32', 'int32', 'float32'], header=None)
>>> G = cugraph.Graph()
>>> G.from_cudf_edgelist(M, '0', '1')
>>> df = G.degrees([0,9,12])