本文整理匯總了Python中networkx.write_dot方法的典型用法代碼示例。如果您正苦於以下問題：Python networkx.write_dot方法的具體用法？Python networkx.write_dot怎麽用？Python networkx.write_dot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networkx的用法示例。
在下文中一共展示了networkx.write_dot方法的7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: visualize_dag
# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import write_dot [as 別名]
def visualize_dag(dg=None, plot_nx=False, plot_graphviz=True, write_dot=True,
prog='dot'):
"""For interactive use"""
import webbrowser
if not dg:
dg = build_dag()
dg = nx.relabel_nodes(
dg,
{x: "%s\n%s" % (x, node.get_job_id_template(x)[0]) for x in dg.node})
if plot_nx:
nx.draw_graphviz(dg, prog=prog)
if write_dot or plot_graphviz:
tmpf = tempfile.mkstemp(suffix='.dot', prefix='stolos_dag_')[1]
nx.write_dot(dg, tmpf)
os.popen('{1} {0} -Tpng > {0}.png'.format(tmpf, prog))
print("saved to %s.png" % tmpf)
if plot_graphviz:
webbrowser.open(tmpf + '.png') 示例2: __init__
# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import write_dot [as 別名]
def __init__(self, _analysis) :
self.__analysis = _analysis
try :
from networkx import DiGraph
from networkx import draw_graphviz, write_dot
except ImportError :
error("module networkx not found")
self.__G = DiGraph()
for m in self.__analysis.get_methods() :
for bb in m.basic_blocks.get() :
for trace in bb.stack_traces.get() :
for mre in jvm.MATH_JVM_RE :
if mre[0].match( trace[2].get_name() ) :
for i in trace[3].gets() :
self._add( str(i) ) 示例3: write_dot
# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import write_dot [as 別名]
def write_dot(self, dotfile):
""" Outputs the word graph in dot format in the specified file. """
nx.write_dot(self.graph, dotfile)
#-B-----------------------------------------------------------------------B-
#~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
# ] Ending word_graph class
#~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
#~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~
# [ Class keyphrase_reranker
#~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~-~ 示例4: show
# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import write_dot [as 別名]
def show(self) :
print self.__G.node
print self.__G.edge
#draw_graphviz(self.__G)
#write_dot(self.__G,'file.dot') 示例5: write_dot
# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import write_dot [as 別名]
def write_dot(self, dotfile):
""" Outputs the word graph in dot format in the specified file. """
nx.write_dot(self.graph, dotfile)
#-B-----------------------------------------------------------------------B- 示例6: visualize
# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import write_dot [as 別名]
def visualize(event, outputname):
g = nx.DiGraph()
for i, p in enumerate(event.particles):
g.add_node(i, attr_dict=p.__dict__)
name = pypdt.particle(p.id).name
greek = [
"gamma",
"nu",
"mu",
"tau",
"rho",
"Xi",
"Sigma",
"Lambda",
"omega",
"Omega",
"Alpha",
"psi",
"phi",
"pi",
"chi",
]
for greekname in greek:
if greekname in name:
name = name.replace(greekname, "\\" + greekname)
if "susy-" in name:
name = name.replace("susy-", "\\tilde ")
g.node[i].update(texlbl="${}$".format(name))
for i, p in enumerate(event.particles):
for mom in p.mothers():
g.add_edge(event.particles.index(mom), i)
nx.write_dot(g, "event.dot")
p = subprocess.Popen(["dot2tex", "event.dot"], stdout=subprocess.PIPE)
tex2pix.Renderer(texfile=p.stdout).mkpdf(outputname)
subprocess.check_call(["pdfcrop", outputname, outputname])
os.remove("event.dot") 示例7: showGraph
# 需要導入模塊: import networkx [as 別名]
# 或者: from networkx import write_dot [as 別名]
def showGraph(root, filename='test.dot'):
import matplotlib.pyplot as plt
g, good, bad, mid = makeGraph(root)
plt.figure(figsize=(10, 10), dpi=80)
nx.write_dot(g, filename)
# same layout using matplotlib with no labels
pos = nx.graphviz_layout(g, prog='dot')
nx.draw_networkx_edges(g, pos, width=1.0, alpha=1., arrows=False)
ALPHA = 1.0
colors = [(0.2, 0.8, 0.2)] * len(good)
nx.draw_networkx_nodes(g, pos,
nodelist=good,
node_color=colors,
alpha=ALPHA,
node_shape='s',
node_size=1600)
colors = [(0.9, 0.4, 0.4)] * len(bad)
nx.draw_networkx_nodes(g, pos,
nodelist=bad,
node_color=colors,
alpha=ALPHA,
node_shape='8',
node_size=1600)
colors = [(0.8, 0.8, 0.8)] * len(mid)
nx.draw_networkx_nodes(g, pos,
nodelist=mid,
node_color=colors,
node_shape='s',
alpha=ALPHA,
node_size=1600)
labels = {}
lookup = {
"NODE": "0",
"Default": "D",
"Left": "L",
"Right": "R",
"Pass": "P",
"Stop": "S",
"Wait": "W",
"Follow": "F",
"Finish": "C",
}
for name in good:
labels[name] = lookup[name.split(' ')[0]]
for name in bad:
labels[name] = lookup[name.split(' ')[0]]
for name in mid:
labels[name] = lookup[name.split(' ')[0]]
nx.draw_networkx_labels(g, pos, labels, font_size=20)
plt.axis('off')
plt.show()