本文整理匯總了Python中graphviz.Graph.subgraph方法的典型用法代碼示例。如果您正苦於以下問題：Python Graph.subgraph方法的具體用法？Python Graph.subgraph怎麽用？Python Graph.subgraph使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類graphviz.Graph的用法示例。
在下文中一共展示了Graph.subgraph方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: draw_SCION_topology
# 需要導入模塊: from graphviz import Graph [as 別名]
# 或者: from graphviz.Graph import subgraph [as 別名]
def draw_SCION_topology(topology_dict, n_labels, l_labels, desc_labels):
"""
Draws the Scion topology from a topology dictionary
returned by parse_gen_folder.
:param dictionary topology_dict: dictionary returned by parse_gen_folder,
boolean ip_addresses: indicates if node labels are drawn,
boolean edge_labels: indicates if edge labels are drawn
dict desc_labels: Dictionary containing labels for ISDs and ASes
:return Dot graph: graph of the SCION topology
"""
isd_graphs = {}
dot = Graph(name='topology', filename='topology.gv', comment='SCION-net')
ISDs = topology_dict["ISD"]
# draw each ISD graph
for ISD in ISDs:
isd_graphs[ISD] = draw_isd_graph(
ISD, ISDs[ISD]["AS"], n_labels, l_labels, desc_labels)
# put all isd graphs into the same graph
for ISD in isd_graphs:
dot.subgraph(isd_graphs[ISD])
# add edges between ISDs
dot = draw_inter_ISD_edges(dot, ISDs, n_labels)
return dot示例2: plot
# 需要導入模塊: from graphviz import Graph [as 別名]
# 或者: from graphviz.Graph import subgraph [as 別名]
def plot(self):
g = Graph(format='png')
styles = {
'graph': {
'rankdir': self.direction,
'splines': 'line',
'label': 'Restricted Boltzmann Machine',
'labelloc': 't', ## t: top, b: bottom, c: center
'labeljust': 'c', ## l: left, r: right, c: center
},
'edge':{
'color': 'black',
# 'constraint': 'false',
'style': 'filled',
}
}
self.add_styles(g, styles)
vLayer = Graph('cluster_0')
styles = {
'graph': {
'rankdir': 'LR',
'splines': 'line',
'label': 'Visible Units',
'labelloc': 't', ## t: top, b: bottom, c: center
'labeljust': 'c', ## l: left, r: right, c: center
},
'node': {
'shape': 'circle',
'color': 'lightblue3',
'label': '',
},
'edge':{
'color': 'black',
'constraint': 'false',
'style': 'filled',
}
}
self.add_styles(vLayer, styles)
vNodes = ['v%d'%i for i in range(self.numVisible)]
vNodes[-2] = (vNodes[-2], {'label': '...', 'style': '', 'shape': 'circle', 'color':'white'})
self.add_nodes(vLayer, vNodes)
hLayer = Graph('cluster_1')
styles = {
'graph': {
'rankdir': 'LR',
'splines': 'line',
'label': 'Hidden Units',
'labelloc': 'b', ## t: top, b: bottom, c: center
'labeljust': 'c', ## l: left, r: right, c: center
},
'node': {
'shape': 'circle',
'color': 'red3',
'label': '',
},
'edge':{
'color': 'black',
'constraint': 'false',
'style': 'filled',
}
}
self.add_styles(hLayer, styles)
hNodes = ['h%d'%i for i in range(self.numHidden)]
hNodes[-2] = (hNodes[-2], {'label': '...', 'style': '', 'shape': 'circle', 'color':'white'})
self.add_nodes(hLayer, hNodes)
g.subgraph(hLayer)
g.subgraph(vLayer)
edges = []
for vn in vNodes:
for hn in hNodes:
if isinstance(vn, tuple):
if isinstance(hn, tuple):
edges.append(((vn[0], hn[0]), {'style':'invis'}))
else:
edges.append(((vn[0], hn), {'style': 'invis'}))
else:
if isinstance(hn, tuple):
edges.append(((vn, hn[0]), {'style':'invis'}))
else:
edges.append((vn, hn))
self.add_edges(g, edges)
print (g.source)
g.view()示例3: Graph
# 需要導入模塊: from graphviz import Graph [as 別名]
# 或者: from graphviz.Graph import subgraph [as 別名]
c1 = Graph('cluster_'+class_list[1])
c1.node_attr.update(color=col[1],shape =shp[1])
for key in key_list:
if m_class[key] == class_list[1]:
c1.node(key)
c2 = Graph('cluster_'+class_list[2])
c2.node_attr.update(color=col[2],shape =shp[2])
for key in key_list:
if m_class[key] == class_list[2]:
c2.node(key)
c3 = Graph('cluster_'+class_list[3])
c3.node_attr.update(color=col[3],shape =shp[3])
for key in key_list:
if m_class[key] == class_list[3]:
c3.node(key)
## adding subgraphs to main graph
g.subgraph(c0)
g.subgraph(c3)
g.subgraph(c1)
g.subgraph(c2)
## adding edges based on the given condition
for x in combinations(key_list,2):
if pearsonr(m_ave_values[x[0]],m_ave_values[x[1]])[0] > 0.98:
g.edge(x[0], x[1], penwidth = str(0.03/float(1-pearsonr(m_ave_values[x[0]],m_ave_values[x[1]])[0])) )
g.view()示例4: Graph
# 需要導入模塊: from graphviz import Graph [as 別名]
# 或者: from graphviz.Graph import subgraph [as 別名]
#!/usr/bin/env python
# http://www.graphviz.org/Gallery/gradient/g_c_n.html
from graphviz import Graph
g = Graph('G', filename='g_c_n.gv')
g.attr(bgcolor='purple:pink', label='agraph', fontcolor='white')
with g.subgraph(name='cluster1') as c:
c.attr(fillcolor='blue:cyan', label='acluster', fontcolor='white',
style='filled', gradientangle='270')
c.attr('node', shape='box', fillcolor='red:yellow',
style='filled', gradientangle='90')
c.node('anode')
g.view()
示例5: Graph
# 需要導入模塊: from graphviz import Graph [as 別名]
# 或者: from graphviz.Graph import subgraph [as 別名]
#!/usr/bin/env python
# fdpclust.py - http://www.graphviz.org/content/fdpclust
from graphviz import Graph
g = Graph('G', filename='fdpclust.gv', engine='fdp')
g.node('e')
with g.subgraph(name='clusterA') as a:
a.edge('a', 'b')
with a.subgraph(name='clusterC') as c:
c.edge('C', 'D')
with g.subgraph(name='clusterB') as b:
b.edge('d', 'f')
g.edge('d', 'D')
g.edge('e', 'clusterB')
g.edge('clusterC', 'clusterB')
g.view()