Python networkx.dfs_tree() Examples
The following are 12
code examples of networkx.dfs_tree().
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Example #1
Source File: depth_first_search.py From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 | 5 votes |
def dfs_tree(G, source): """Return oriented tree constructed from a depth-first-search from source. Parameters ---------- G : NetworkX graph source : node, optional Specify starting node for depth-first search. Returns ------- T : NetworkX DiGraph An oriented tree Examples -------- >>> G = nx.Graph() >>> G.add_path([0,1,2]) >>> T = nx.dfs_tree(G,0) >>> print(T.edges()) [(0, 1), (1, 2)] """ T = nx.DiGraph() if source is None: T.add_nodes_from(G) else: T.add_node(source) T.add_edges_from(dfs_edges(G,source)) return T
Example #2
Source File: test_dfs.py From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 | 5 votes |
def test_dfs_tree(self): T=nx.dfs_tree(self.G,source=0) assert_equal(sorted(T.nodes()),sorted(self.G.nodes())) assert_equal(sorted(T.edges()),[(0, 1), (1, 2), (2, 4), (4, 3)])
Example #3
Source File: test_dfs.py From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 | 5 votes |
def test_dfs_tree_isolates(self): G = nx.Graph() G.add_node(1) G.add_node(2) T=nx.dfs_tree(G,source=1) assert_equal(sorted(T.nodes()),[1]) assert_equal(sorted(T.edges()),[]) T=nx.dfs_tree(G,source=None) assert_equal(sorted(T.nodes()),[1, 2]) assert_equal(sorted(T.edges()),[])
Example #4
Source File: cliquetree.py From pyBN with MIT License | 5 votes |
def dfs_postorder(self, root): G = nx.Graph(self.E) tree_graph = nx.dfs_tree(G,root) clique_ordering = list(nx.dfs_postorder_nodes(tree_graph,root)) return clique_ordering
Example #5
Source File: depth_first_search.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
def dfs_tree(G, source=None, depth_limit=None): """Returns oriented tree constructed from a depth-first-search from source. Parameters ---------- G : NetworkX graph source : node, optional Specify starting node for depth-first search. depth_limit : int, optional (default=len(G)) Specify the maximum search depth. Returns ------- T : NetworkX DiGraph An oriented tree Examples -------- >>> G = nx.path_graph(5) >>> T = nx.dfs_tree(G, source=0, depth_limit=2) >>> list(T.edges()) [(0, 1), (1, 2)] >>> T = nx.dfs_tree(G, source=0) >>> list(T.edges()) [(0, 1), (1, 2), (2, 3), (3, 4)] """ T = nx.DiGraph() if source is None: T.add_nodes_from(G) else: T.add_node(source) T.add_edges_from(dfs_edges(G, source, depth_limit)) return T
Example #6
Source File: test_dfs.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
def test_dfs_tree(self): exp_nodes = sorted(self.G.nodes()) exp_edges = [(0, 1), (1, 2), (2, 4), (4, 3)] # Search from first node T = nx.dfs_tree(self.G, source=0) assert_equal(sorted(T.nodes()), exp_nodes) assert_equal(sorted(T.edges()), exp_edges) # Check source=None T = nx.dfs_tree(self.G, source=None) assert_equal(sorted(T.nodes()), exp_nodes) assert_equal(sorted(T.edges()), exp_edges) # Check source=None is the default T = nx.dfs_tree(self.G) assert_equal(sorted(T.nodes()), exp_nodes) assert_equal(sorted(T.edges()), exp_edges)
Example #7
Source File: test_dfs.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
def test_dfs_tree_isolates(self): G = nx.Graph() G.add_node(1) G.add_node(2) T = nx.dfs_tree(G, source=1) assert_equal(sorted(T.nodes()), [1]) assert_equal(sorted(T.edges()), []) T = nx.dfs_tree(G, source=None) assert_equal(sorted(T.nodes()), [1, 2]) assert_equal(sorted(T.edges()), [])
Example #8
Source File: test_dfs.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
def test_dls_tree(self): T = nx.dfs_tree(self.G, source=3, depth_limit=1) assert_equal(sorted(T.edges()), [(3, 2), (3, 4)])
Example #9
Source File: depth_first_search.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
def dfs_tree(G, source=None, depth_limit=None): """Return oriented tree constructed from a depth-first-search from source. Parameters ---------- G : NetworkX graph source : node, optional Specify starting node for depth-first search. depth_limit : int, optional (default=len(G)) Specify the maximum search depth. Returns ------- T : NetworkX DiGraph An oriented tree Examples -------- >>> G = nx.path_graph(5) >>> T = nx.dfs_tree(G, source=0, depth_limit=2) >>> list(T.edges()) [(0, 1), (1, 2)] >>> T = nx.dfs_tree(G, source=0) >>> list(T.edges()) [(0, 1), (1, 2), (2, 3), (3, 4)] """ T = nx.DiGraph() if source is None: T.add_nodes_from(G) else: T.add_node(source) T.add_edges_from(dfs_edges(G, source, depth_limit)) return T
Example #10
Source File: test_dfs.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
def test_dfs_tree(self): exp_nodes = sorted(self.G.nodes()) exp_edges = [(0, 1), (1, 2), (2, 4), (4, 3)] # Search from first node T=nx.dfs_tree(self.G,source=0) assert_equal(sorted(T.nodes()), exp_nodes) assert_equal(sorted(T.edges()), exp_edges) # Check source=None T = nx.dfs_tree(self.G, source=None) assert_equal(sorted(T.nodes()), exp_nodes) assert_equal(sorted(T.edges()), exp_edges) # Check source=None is the default T = nx.dfs_tree(self.G) assert_equal(sorted(T.nodes()), exp_nodes) assert_equal(sorted(T.edges()), exp_edges)
Example #11
Source File: test_dfs.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
def test_dfs_tree_isolates(self): G = nx.Graph() G.add_node(1) G.add_node(2) T=nx.dfs_tree(G,source=1) assert_equal(sorted(T.nodes()),[1]) assert_equal(sorted(T.edges()),[]) T=nx.dfs_tree(G,source=None) assert_equal(sorted(T.nodes()),[1, 2]) assert_equal(sorted(T.edges()),[])
Example #12
Source File: test_dfs.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
def test_dls_tree(self): T = nx.dfs_tree(self.G, source=3, depth_limit=1) assert_equal(sorted(T.edges()), [(3, 2), (3, 4)])