Python networkx.circular_layout() Examples
The following are 30
code examples of networkx.circular_layout().
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Example #1
| Source File: test_layout.py From Carnets with BSD 3-Clause "New" or "Revised" License | 6 votes |
|
def test_smoke_int(self):
G = self.Gi
vpos = nx.random_layout(G)
vpos = nx.circular_layout(G)
vpos = nx.planar_layout(G)
vpos = nx.spring_layout(G)
vpos = nx.fruchterman_reingold_layout(G)
vpos = nx.fruchterman_reingold_layout(self.bigG)
vpos = nx.spectral_layout(G)
vpos = nx.spectral_layout(G.to_directed())
vpos = nx.spectral_layout(self.bigG)
vpos = nx.spectral_layout(self.bigG.to_directed())
vpos = nx.shell_layout(G)
if self.scipy is not None:
vpos = nx.kamada_kawai_layout(G)
vpos = nx.kamada_kawai_layout(G, dim=1)
Example #2
| Source File: graph.py From nelpy with MIT License | 6 votes |
|
def draw_transmat_graph_inner(G, edge_threshold=0, lw=1, ec='0.2', node_size=15):
num_states = G.number_of_nodes()
edgewidth = [ d['weight'] for (u,v,d) in G.edges(data=True)]
edgewidth = np.array(edgewidth)
edgewidth[edgewidth<edge_threshold] = 0
npos=circular_layout(G, scale=1, direction='CW')
nx.draw_networkx_edges(G, npos, alpha=1.0, width=edgewidth*lw, edge_color=ec)
nx.draw_networkx_nodes(G, npos, node_size=node_size, node_color='k',alpha=1.0)
ax = plt.gca()
ax.set_aspect('equal')
return ax
Example #3
| Source File: networkx.py From hvplot with BSD 3-Clause "New" or "Revised" License | 6 votes |
|
def draw_circular(G, **kwargs):
"""Draw networkx graph with circular layout.
Parameters
----------
G : graph
A networkx graph
kwargs : optional keywords
See hvplot.networkx.draw() for a description of optional
keywords, with the exception of the pos parameter which is not
used by this function.
Returns
-------
graph : holoviews.Graph or holoviews.Overlay
Graph element or Graph and Labels
"""
return draw(G, pos=nx.circular_layout, **kwargs)
Example #4
| Source File: test_layout.py From Carnets with BSD 3-Clause "New" or "Revised" License | 6 votes |
|
def test_empty_graph(self):
G = nx.empty_graph()
vpos = nx.random_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.circular_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.planar_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.bipartite_layout(G, G)
assert_equal(vpos, {})
vpos = nx.spring_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.fruchterman_reingold_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.spectral_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.shell_layout(G, center=(1, 1))
assert_equal(vpos, {})
Example #5
| Source File: test_layout.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_smoke_int(self):
G = self.Gi
vpos = nx.random_layout(G)
vpos = nx.circular_layout(G)
vpos = nx.spring_layout(G)
vpos = nx.fruchterman_reingold_layout(G)
vpos = nx.fruchterman_reingold_layout(self.bigG)
vpos = nx.spectral_layout(G)
vpos = nx.spectral_layout(G.to_directed())
vpos = nx.spectral_layout(self.bigG)
vpos = nx.spectral_layout(self.bigG.to_directed())
vpos = nx.shell_layout(G)
if self.scipy is not None:
vpos = nx.kamada_kawai_layout(G)
Example #6
| Source File: test_layout.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_smoke_string(self):
G = self.Gs
vpos = nx.random_layout(G)
vpos = nx.circular_layout(G)
vpos = nx.planar_layout(G)
vpos = nx.spring_layout(G)
vpos = nx.fruchterman_reingold_layout(G)
vpos = nx.spectral_layout(G)
vpos = nx.shell_layout(G)
if self.scipy is not None:
vpos = nx.kamada_kawai_layout(G)
vpos = nx.kamada_kawai_layout(G, dim=1)
Example #7
| Source File: test_layout.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_scale_and_center_arg(self):
sc = self.check_scale_and_center
c = (4, 5)
G = nx.complete_graph(9)
G.add_node(9)
sc(nx.random_layout(G, center=c), scale=0.5, center=(4.5, 5.5))
# rest can have 2*scale length: [-scale, scale]
sc(nx.spring_layout(G, scale=2, center=c), scale=2, center=c)
sc(nx.spectral_layout(G, scale=2, center=c), scale=2, center=c)
sc(nx.circular_layout(G, scale=2, center=c), scale=2, center=c)
sc(nx.shell_layout(G, scale=2, center=c), scale=2, center=c)
if self.scipy is not None:
sc(nx.kamada_kawai_layout(G, scale=2, center=c), scale=2, center=c)
Example #8
| Source File: test_layout.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_default_scale_and_center(self):
sc = self.check_scale_and_center
c = (0, 0)
G = nx.complete_graph(9)
G.add_node(9)
sc(nx.random_layout(G), scale=0.5, center=(0.5, 0.5))
sc(nx.spring_layout(G), scale=1, center=c)
sc(nx.spectral_layout(G), scale=1, center=c)
sc(nx.circular_layout(G), scale=1, center=c)
sc(nx.shell_layout(G), scale=1, center=c)
if self.scipy is not None:
sc(nx.kamada_kawai_layout(G), scale=1, center=c)
Example #9
| Source File: test_layout.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_smoke_initial_pos_fruchterman_reingold(self):
pos = nx.circular_layout(self.Gi)
npos = nx.fruchterman_reingold_layout(self.Gi, pos=pos)
Example #10
| Source File: test_layout.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_fixed_node_fruchterman_reingold(self):
# Dense version (numpy based)
pos = nx.circular_layout(self.Gi)
npos = nx.fruchterman_reingold_layout(self.Gi, pos=pos, fixed=[(0, 0)])
assert_equal(tuple(pos[(0, 0)]), tuple(npos[(0, 0)]))
# Sparse version (scipy based)
pos = nx.circular_layout(self.bigG)
npos = nx.fruchterman_reingold_layout(self.bigG, pos=pos, fixed=[(0, 0)])
for axis in range(2):
assert_almost_equal(pos[(0, 0)][axis], npos[(0, 0)][axis])
Example #11
| Source File: test_layout.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_center_parameter(self):
G = nx.path_graph(1)
vpos = nx.random_layout(G, center=(1, 1))
vpos = nx.circular_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
vpos = nx.planar_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
vpos = nx.spring_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
vpos = nx.fruchterman_reingold_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
vpos = nx.spectral_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
vpos = nx.shell_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
Example #12
| Source File: test_layout.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_center_wrong_dimensions(self):
G = nx.path_graph(1)
assert_raises(ValueError, nx.random_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.circular_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.planar_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.spring_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.fruchterman_reingold_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.fruchterman_reingold_layout, G, dim=3, center=(1, 1))
assert_raises(ValueError, nx.spectral_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.spectral_layout, G, dim=3, center=(1, 1))
assert_raises(ValueError, nx.shell_layout, G, center=(1, 1, 1))
Example #13
| Source File: test_layout.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_smoke_empty_graph(self):
G = []
vpos = nx.random_layout(G)
vpos = nx.circular_layout(G)
vpos = nx.spring_layout(G)
vpos = nx.fruchterman_reingold_layout(G)
vpos = nx.spectral_layout(G)
vpos = nx.shell_layout(G)
if self.scipy is not None:
vpos = nx.kamada_kawai_layout(G)
Example #14
| Source File: module_tree.py From msticpy with MIT License | 5 votes |
|
def plot_graph(call_graph: nx.Graph, size: Tuple[int, int] = (10, 10)):
"""
Plot circular graph using matplotlib.
Parameters
----------
call_graph : nx.Graph
The graph to plot.
size : Tuple[int, int]
size of plot, default is(10,10)
"""
# if circos:
# c = CircosPlot(
# call_graph,
# node_color='degree',
# node_grouping='degree',
# node_order="degree",
# node_labels=True,
# fontsize="large",
# node_label_layout="rotation",
# figsize=(20,20)
# )
# c.draw()
# else:
pos = nx.circular_layout(call_graph)
nx.draw_networkx(call_graph, pos=pos)
plt.gcf().set_size_inches(size)
plt.show()
Example #15
| Source File: test_layout.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_smoke_string(self):
G = self.Gs
vpos = nx.random_layout(G)
vpos = nx.circular_layout(G)
vpos = nx.spring_layout(G)
vpos = nx.fruchterman_reingold_layout(G)
vpos = nx.spectral_layout(G)
vpos = nx.shell_layout(G)
if self.scipy is not None:
vpos = nx.kamada_kawai_layout(G)
Example #16
| Source File: test_layout.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_scale_and_center_arg(self):
sc = self.check_scale_and_center
c = (4, 5)
G = nx.complete_graph(9)
G.add_node(9)
sc(nx.random_layout(G, center=c), scale=0.5, center=(4.5, 5.5))
# rest can have 2*scale length: [-scale, scale]
sc(nx.spring_layout(G, scale=2, center=c), scale=2, center=c)
sc(nx.spectral_layout(G, scale=2, center=c), scale=2, center=c)
sc(nx.circular_layout(G, scale=2, center=c), scale=2, center=c)
sc(nx.shell_layout(G, scale=2, center=c), scale=2, center=c)
if self.scipy is not None:
sc(nx.kamada_kawai_layout(G, scale=2, center=c), scale=2, center=c)
Example #17
| Source File: test_layout.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_default_scale_and_center(self):
sc = self.check_scale_and_center
c = (0, 0)
G = nx.complete_graph(9)
G.add_node(9)
sc(nx.random_layout(G), scale=0.5, center=(0.5, 0.5))
sc(nx.spring_layout(G), scale=1, center=c)
sc(nx.spectral_layout(G), scale=1, center=c)
sc(nx.circular_layout(G), scale=1, center=c)
sc(nx.shell_layout(G), scale=1, center=c)
if self.scipy is not None:
sc(nx.kamada_kawai_layout(G), scale=1, center=c)
Example #18
| Source File: test_layout.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_fixed_node_fruchterman_reingold(self):
# Dense version (numpy based)
pos = nx.circular_layout(self.Gi)
npos = nx.fruchterman_reingold_layout(self.Gi, pos=pos, fixed=[(0, 0)])
assert_equal(tuple(pos[(0, 0)]), tuple(npos[(0, 0)]))
# Sparse version (scipy based)
pos = nx.circular_layout(self.bigG)
npos = nx.fruchterman_reingold_layout(self.bigG, pos=pos, fixed=[(0, 0)])
for axis in range(2):
assert_almost_equal(pos[(0, 0)][axis], npos[(0, 0)][axis])
Example #19
| Source File: test_layout.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_center_parameter(self):
G = nx.path_graph(1)
vpos = nx.random_layout(G, center=(1, 1))
vpos = nx.circular_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
vpos = nx.spring_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
vpos = nx.fruchterman_reingold_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
vpos = nx.spectral_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
vpos = nx.shell_layout(G, center=(1, 1))
assert_equal(tuple(vpos[0]), (1, 1))
Example #20
| Source File: test_layout.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_center_wrong_dimensions(self):
G = nx.path_graph(1)
assert_raises(ValueError, nx.random_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.circular_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.spring_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.fruchterman_reingold_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.fruchterman_reingold_layout, G, dim=3, center=(1, 1))
assert_raises(ValueError, nx.spectral_layout, G, center=(1, 1, 1))
assert_raises(ValueError, nx.spectral_layout, G, dim=3, center=(1, 1))
assert_raises(ValueError, nx.shell_layout, G, center=(1, 1, 1))
Example #21
| Source File: test_layout.py From aws-kube-codesuite with Apache License 2.0 | 5 votes |
|
def test_empty_graph(self):
G = nx.empty_graph()
vpos = nx.random_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.circular_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.spring_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.fruchterman_reingold_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.spectral_layout(G, center=(1, 1))
assert_equal(vpos, {})
vpos = nx.shell_layout(G, center=(1, 1))
assert_equal(vpos, {})
Example #22
| Source File: test_layout.py From qgisSpaceSyntaxToolkit with GNU General Public License v3.0 | 5 votes |
|
def test_scale_and_center_arg(self):
G = nx.complete_graph(9)
G.add_node(9)
vpos = nx.random_layout(G, scale=2, center=(4,5))
self.check_scale_and_center(vpos, scale=2, center=(4,5))
vpos = nx.spring_layout(G, scale=2, center=(4,5))
self.check_scale_and_center(vpos, scale=2, center=(4,5))
vpos = nx.spectral_layout(G, scale=2, center=(4,5))
self.check_scale_and_center(vpos, scale=2, center=(4,5))
# circular can have twice as big length
vpos = nx.circular_layout(G, scale=2, center=(4,5))
self.check_scale_and_center(vpos, scale=2*2, center=(4,5))
vpos = nx.shell_layout(G, scale=2, center=(4,5))
self.check_scale_and_center(vpos, scale=2*2, center=(4,5))
# check default center and scale
vpos = nx.random_layout(G)
self.check_scale_and_center(vpos, scale=1, center=(0.5,0.5))
vpos = nx.spring_layout(G)
self.check_scale_and_center(vpos, scale=1, center=(0.5,0.5))
vpos = nx.spectral_layout(G)
self.check_scale_and_center(vpos, scale=1, center=(0.5,0.5))
vpos = nx.circular_layout(G)
self.check_scale_and_center(vpos, scale=2, center=(0,0))
vpos = nx.shell_layout(G)
self.check_scale_and_center(vpos, scale=2, center=(0,0))
Example #23
| Source File: graph.py From nelpy with MIT License | 5 votes |
|
def draw_transmat_graph(G, edge_threshold=0, lw=1, ec='0.2', node_size=15):
num_states = G.number_of_nodes()
edgewidth = [ d['weight'] for (u,v,d) in G.edges(data=True)]
edgewidth = np.array(edgewidth)
edgewidth[edgewidth<edge_threshold] = 0
labels = {}
labels[0] = '1'
labels[1]= '2'
labels[2]= '3'
labels[num_states-1] = str(num_states)
npos=circular_layout(G, scale=1, direction='CW')
lpos=circular_layout(G, scale=1.15, direction='CW')
nx.draw_networkx_edges(G, npos, alpha=0.8, width=edgewidth*lw, edge_color=ec)
nx.draw_networkx_nodes(G, npos, node_size=node_size, node_color='k',alpha=0.8)
ax = plt.gca()
nx.draw_networkx_labels(G, lpos, labels, fontsize=18, ax=ax); # fontsize does not seem to work :/
ax.set_aspect('equal')
return ax
Example #24
| Source File: graph.py From nelpy with MIT License | 5 votes |
|
def double_circular_layout(Gi, scale=1, center=None, dim=2, direction='CCW'):
inner=circular_layout(Gi, center=center, dim=dim, scale=scale, direction=direction)
outer=circular_layout(Gi, center=center, dim=dim, scale=scale*1.3, direction=direction)
num_states = Gi.number_of_nodes()
npos = {}
for k in outer.keys():
npos[k+num_states] = outer[k]
npos.update(inner)
return npos
Example #25
| Source File: visualise_graph.py From IDTxl with GNU General Public License v3.0 | 5 votes |
|
def _plot_graph(graph, axis, weights=None, display_edge_labels=True):
"""Plot graph using networkx."""
pos = nx.circular_layout(graph)
nx.draw_circular(graph, with_labels=True, node_size=600, alpha=1.0,
ax=axis, node_color='Gainsboro', hold=True, font_size=14,
font_weight='bold')
if display_edge_labels:
edge_labels = nx.get_edge_attributes(graph, weights)
nx.draw_networkx_edge_labels(graph, pos, edge_labels=edge_labels,
font_size=13) # font_weight='bold'
Example #26
| Source File: testgraphelement.py From holoviews with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def setUp(self):
N = 8
self.nodes = circular_layout(np.arange(N))
self.source = np.arange(N, dtype=np.int32)
self.target = np.zeros(N, dtype=np.int32)
self.edge_info = np.arange(N)
self.graph = Graph(((self.source, self.target),))
Example #27
| Source File: testgraphelement.py From holoviews with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_from_networkx_with_node_attrs(self):
import networkx as nx
G = nx.karate_club_graph()
graph = Graph.from_networkx(G, nx.circular_layout)
clubs = np.array([
'Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Mr. Hi',
'Mr. Hi', 'Mr. Hi', 'Mr. Hi', 'Officer', 'Mr. Hi', 'Mr. Hi',
'Mr. Hi', 'Mr. Hi', 'Officer', 'Officer', 'Mr. Hi', 'Mr. Hi',
'Officer', 'Mr. Hi', 'Officer', 'Mr. Hi', 'Officer', 'Officer',
'Officer', 'Officer', 'Officer', 'Officer', 'Officer', 'Officer',
'Officer', 'Officer', 'Officer', 'Officer'])
self.assertEqual(graph.nodes.dimension_values('club'), clubs)
Example #28
| Source File: testgraphelement.py From holoviews with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_from_networkx_with_invalid_node_attrs(self):
import networkx as nx
FG = nx.Graph()
FG.add_node(1, test=[])
FG.add_node(2, test=[])
FG.add_edge(1, 2)
graph = Graph.from_networkx(FG, nx.circular_layout)
self.assertEqual(graph.nodes.vdims, [])
self.assertEqual(graph.nodes.dimension_values(2), np.array([1, 2]))
self.assertEqual(graph.array(), np.array([(1, 2)]))
Example #29
| Source File: testgraphelement.py From holoviews with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_from_networkx_with_edge_attrs(self):
import networkx as nx
FG = nx.Graph()
FG.add_weighted_edges_from([(1,2,0.125), (1,3,0.75), (2,4,1.2), (3,4,0.375)])
graph = Graph.from_networkx(FG, nx.circular_layout)
self.assertEqual(graph.dimension_values('weight'), np.array([0.125, 0.75, 1.2, 0.375]))
Example #30
| Source File: testgraphelement.py From holoviews with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def test_from_networkx_with_invalid_edge_attrs(self):
import networkx as nx
FG = nx.Graph()
FG.add_weighted_edges_from([(1,2,[]), (1,3,[]), (2,4,[]), (3,4,[])])
graph = Graph.from_networkx(FG, nx.circular_layout)
self.assertEqual(graph.vdims, [])
