def visualize(self,
edgelabel='control',
current_node=None,
draw='pygraphviz'):
"""
Visualizes a LOMAP system model.
"""
assert edgelabel is None or nx.is_weighted(self.g, weight=edgelabel)
if draw == 'pygraphviz':
nx.view_pygraphviz(self.g, edgelabel)
elif draw == 'matplotlib':
pos = nx.get_node_attributes(self.g, 'location')
if len(pos) != self.g.number_of_nodes():
pos = nx.spring_layout(self.g)
if current_node is None:
colors = 'r'
else:
if current_node == 'init':
current_node = next(self.init.iterkeys())
colors = dict([(v, 'r') for v in self.g])
colors[current_node] = 'b'
colors = colors.values()
nx.draw(self.g, pos=pos, node_color=colors)
nx.draw_networkx_labels(self.g, pos=pos)
edge_labels = nx.get_edge_attributes(self.g, edgelabel)
nx.draw_networkx_edge_labels(self.g,
pos=pos,
edge_labels=edge_labels)
else:
raise ValueError('Expected parameter draw to be either:' +
'"pygraphviz" or "matplotlib"!')
def visualize(self, edgelabel='control', current_node=None,
draw='pygraphviz'):
"""
Visualizes a LOMAP system model.
"""
assert edgelabel is None or nx.is_weighted(self.g, weight=edgelabel)
if draw == 'pygraphviz':
nx.view_pygraphviz(self.g, edgelabel)
elif draw == 'matplotlib':
pos = nx.get_node_attributes(self.g, 'location')
if len(pos) != self.g.number_of_nodes():
pos = nx.spring_layout(self.g)
if current_node is None:
colors = 'r'
else:
if current_node == 'init':
current_node = next(self.init.iterkeys())
colors = dict([(v, 'r') for v in self.g])
colors[current_node] = 'b'
colors = colors.values()
nx.draw(self.g, pos=pos, node_color=colors)
nx.draw_networkx_labels(self.g, pos=pos)
edge_labels = nx.get_edge_attributes(self.g, edgelabel)
nx.draw_networkx_edge_labels(self.g, pos=pos,
edge_labels=edge_labels)
else:
raise ValueError('Expected parameter draw to be either:'
+ '"pygraphviz" or "matplotlib"!')
def visualize(self,
edgelabel=None,
draw='pydot',
save_path=None,
dot_file_name="g",
svg_file_name="file"):
"""
Visualizes a LOMAP system model
"""
if draw == 'pygraphviz':
nx.view_pygraphviz(self.g, edgelabel)
# elif draw == 'matplotlib':
# pos = nx.spring_layout(self.g)
# nx.draw(self.g, pos=pos)
# nx.draw_networkx_labels(self.g, pos=pos)
# plt.savefig('path.png')
elif draw == 'pydot':
if save_path is None:
write_dot(self.g, dot_file_name + ".dot")
os.system('dot -Tsvg ' + dot_file_name + '.dot -o ' +
svg_file_name + '.svg')
else:
dot_file_path = os.path.join(save_path, dot_file_name + ".dot")
svg_file_path = os.path.join(save_path, svg_file_name + '.svg')
write_dot(self.g, dot_file_path)
os.system('dot -Tsvg ' + dot_file_path + ' -o ' +
svg_file_path)
else:
raise ValueError('Expected parameter draw to be either:' +
'"pygraphviz" or "matplotlib" or "pydot"!')
def visualize(self, edgelabel=None, draw='pygraphviz'):
"""
Visualizes a LOMAP system model
"""
if draw == 'pygraphviz':
nx.view_pygraphviz(self.g, edgelabel)
elif draw == 'matplotlib':
pos = nx.spring_layout(self.g)
nx.draw(self.g, pos=pos)
nx.draw_networkx_labels(self.g, pos=pos)
else:
raise ValueError('Expected parameter draw to be either:'
+ '"pygraphviz" or "matplotlib"!')
def visualize(self, edgelabel=None, draw='pygraphviz'):
"""
Visualizes a LOMAP system model
"""
if draw == 'pygraphviz':
nx.view_pygraphviz(self.g, edgelabel)
elif draw == 'matplotlib':
pos = nx.spring_layout(self.g)
nx.draw(self.g, pos=pos)
nx.draw_networkx_labels(self.g, pos=pos)
else:
raise ValueError('Expected parameter draw to be either:' +
'"pygraphviz" or "matplotlib"!')
def visualize(self):
"""
Visualizes a LOMAP system model
"""
nx.view_pygraphviz(self.g, 'control')
tokens3[i]=tokens3[i].replace(".","").replace(",","")
text3 = k.Text(tokens3)
#participação social; sociedade civil; presidência república;
#secretaria-geral presidência; planejamento orçamento; mecanismos
#participação; educação cidadania; movimentos sociais; deste
#compromisso; cidadania ativa; entes signatários; secretaria nacional;
#conferências nacionais; dias após; nacionais ouvidorias; sobre
#temas; consultas públicas; meio secretaria; presente compromisso;
#organizações sociedade
ff=text3.vocab()
N=80
yy=ff.values()[:N]
xx=ff.keys()[:N]
p.title(u"Ocorrências de palavras")
p.plot(n.arange(len(yy)),yy,"ro")
p.ylabel(u"ocorrências")
p.xlabel(u"palavras")
p.xticks(n.arange(len(yy)),[x.decode("utf-8") for x in xx],rotation=80)
p.xlim(-1,len(yy)+1)
p.show()
import networkx as x
G=x.Graph()
for i in xrange(len(tokens3)-1):
G.add_edge(tokens3[i].decode("utf-8"),tokens3[i+1].decode("utf-8"))
x.view_pygraphviz(G)
def visualize(self): """ Visualizes a LOMAP system model """ nx.view_pygraphviz(self.g, 'prob')
