Python networkx.square_clustering() Examples
The following are 16
code examples of networkx.square_clustering().
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Example #1
| Source File: graph.py From momepy with MIT License | 5 votes |
|
def clustering(graph, name="cluster"):
"""
Calculates the squares clustering coefficient for nodes.
Wrapper around ``networkx.square_clustering``.
Parameters
----------
graph : networkx.Graph
Graph representing street network.
Ideally generated from GeoDataFrame using :func:`momepy.gdf_to_nx`
name : str, optional
calculated attribute name
Returns
-------
Graph
networkx.Graph
Examples
--------
>>> network_graph = mm.clustering(network_graph)
"""
netx = graph.copy()
vals = nx.square_clustering(netx)
nx.set_node_attributes(netx, vals, name)
return netx
Example #2
| Source File: test_cluster.py From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 | 5 votes |
|
def test_clustering(self):
G = nx.Graph()
assert_equal(list(nx.square_clustering(G).values()),[])
assert_equal(nx.square_clustering(G),{})
Example #3
| Source File: test_cluster.py From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 | 5 votes |
|
def test_path(self):
G = nx.path_graph(10)
assert_equal(list(nx.square_clustering(G).values()),
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0])
assert_equal(nx.square_clustering(G),
{0: 0.0, 1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0,
5: 0.0, 6: 0.0, 7: 0.0, 8: 0.0, 9: 0.0})
Example #4
| Source File: test_cluster.py From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 | 5 votes |
|
def test_cubical(self):
G = nx.cubical_graph()
assert_equal(list(nx.square_clustering(G).values()),
[0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5])
assert_equal(list(nx.square_clustering(G,[1,2]).values()),[0.5, 0.5])
assert_equal(nx.square_clustering(G,[1])[1],0.5)
assert_equal(nx.square_clustering(G,[1,2]),{1: 0.5, 2: 0.5})
Example #5
| Source File: test_cluster.py From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 | 5 votes |
|
def test_k5(self):
G = nx.complete_graph(5)
assert_equal(list(nx.square_clustering(G).values()),[1, 1, 1, 1, 1])
Example #6
| Source File: test_cluster.py From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 | 5 votes |
|
def test_bipartite_k5(self):
G = nx.complete_bipartite_graph(5,5)
assert_equal(list(nx.square_clustering(G).values()),
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
Example #7
| Source File: test_cluster.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_clustering(self):
G = nx.Graph()
assert_equal(list(nx.square_clustering(G).values()), [])
assert_equal(nx.square_clustering(G), {})
Example #8
| Source File: test_cluster.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_path(self):
G = nx.path_graph(10)
assert_equal(list(nx.square_clustering(G).values()),
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0])
assert_equal(nx.square_clustering(G),
{0: 0.0, 1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0,
5: 0.0, 6: 0.0, 7: 0.0, 8: 0.0, 9: 0.0})
Example #9
| Source File: test_cluster.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_cubical(self):
G = nx.cubical_graph()
assert_equal(list(nx.square_clustering(G).values()),
[0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5])
assert_equal(list(nx.square_clustering(G, [1, 2]).values()), [0.5, 0.5])
assert_equal(nx.square_clustering(G, [1])[1], 0.5)
assert_equal(nx.square_clustering(G, [1, 2]), {1: 0.5, 2: 0.5})
Example #10
| Source File: test_cluster.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_k5(self):
G = nx.complete_graph(5)
assert_equal(list(nx.square_clustering(G).values()), [1, 1, 1, 1, 1])
Example #11
| Source File: test_cluster.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_bipartite_k5(self):
G = nx.complete_bipartite_graph(5, 5)
assert_equal(list(nx.square_clustering(G).values()),
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
Example #12
| Source File: test_cluster.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_clustering(self):
G = nx.Graph()
assert_equal(list(nx.square_clustering(G).values()), [])
assert_equal(nx.square_clustering(G), {})
Example #13
| Source File: test_cluster.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_path(self):
G = nx.path_graph(10)
assert_equal(list(nx.square_clustering(G).values()),
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0])
assert_equal(nx.square_clustering(G),
{0: 0.0, 1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0,
5: 0.0, 6: 0.0, 7: 0.0, 8: 0.0, 9: 0.0})
Example #14
| Source File: test_cluster.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_cubical(self):
G = nx.cubical_graph()
assert_equal(list(nx.square_clustering(G).values()),
[0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5])
assert_equal(list(nx.square_clustering(G, [1, 2]).values()), [0.5, 0.5])
assert_equal(nx.square_clustering(G, [1])[1], 0.5)
assert_equal(nx.square_clustering(G, [1, 2]), {1: 0.5, 2: 0.5})
Example #15
| Source File: test_cluster.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_k5(self):
G = nx.complete_graph(5)
assert_equal(list(nx.square_clustering(G).values()), [1, 1, 1, 1, 1])
Example #16
| Source File: test_cluster.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_bipartite_k5(self):
G = nx.complete_bipartite_graph(5, 5)
assert_equal(list(nx.square_clustering(G).values()),
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
