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Method edge_subgraph

python/graphscope/nx/classes/graph.py:1825–1867  ·  view source on GitHub ↗

Returns a independent deep copy subgraph induced by the specified edges. The induced subgraph contains each edge in `edges` and each node incident to any one of those edges. Parameters ---------- edges : iterable An iterable of edges in this grap

(self, edges)

Source from the content-addressed store, hash-verified

1823
1824 @clear_mutation_cache
1825 def edge_subgraph(self, edges):
1826 """Returns a independent deep copy subgraph induced by the specified edges.
1827
1828 The induced subgraph contains each edge in `edges` and each
1829 node incident to any one of those edges.
1830
1831 Parameters
1832 ----------
1833 edges : iterable
1834 An iterable of edges in this graph.
1835
1836 Returns
1837 -------
1838 G : Graph
1839 An edge-induced subgraph of this graph with the same edge
1840 attributes.
1841
1842 Notes
1843 -----
1844 Unlike NetworkX return a view, here return a independent deep copy subgraph.
1845
1846 Examples
1847 --------
1848 >>> G = nx.path_graph(5) # or DiGraph
1849 >>> H = G.edge_subgraph([(0, 1), (3, 4)])
1850 >>> list(H.nodes)
1851 [0, 1, 3, 4]
1852 >>> list(H.edges)
1853 [(0, 1), (3, 4)]
1854
1855 """
1856 self._convert_arrow_to_dynamic()
1857
1858 induced_edges = json.dumps(list(edges))
1859 g = self.__class__(create_empty_in_engine=False)
1860 g.graph.update(self.graph)
1861 op = dag_utils.create_subgraph(self, edges=induced_edges)
1862 graph_def = op.eval(leaf=False)
1863 g._key = graph_def.key
1864 g._session = self._session
1865 g._op = op
1866 g.cache.warmup()
1867 return g
1868
1869 @clear_mutation_cache
1870 def _project_to_simple(self, v_prop=None, e_prop=None):

Calls 4

updateMethod · 0.45
evalMethod · 0.45
warmupMethod · 0.45