g = nx.petersen_graph() nx.draw(g, with_labels = True) #标明label 从edgelist读取图 #从edgelist读取图 g = nx.read_edgelist('edglist.txt') nx.draw(g, with_labels= True) 保存图 plt.savefig("path.png") networkx–nx.draw()参数 x.draw()方法,至少接受一个参数:待绘制的网络G 运行样式 ...
draw_networkx_labels(network, pos, fontsize=6) plt.title("Retweet Network", { 'fontsize': 12 }) plt.axis('off') if outfile: print "Saving network to file: {0}".format(outfile) plt.savefig(outfile) if show: print "Displaying graph. Close graph window to resume python execution" plt...
graph = nx.Graph()fori, (edge, num)inenumerate(self.adjacency_matrix.iteritems()):ifmax_edgesandi > max_edges:breakifnum < min_games:continuegraph.add_edge(edge.player_one, edge.player_two) added_nodes.add(edge.player_one) added_nodes.add(edge.player_two)fornodeinself.nodes:ifnode.f...
"""graph = as_networkx_graph(variables, relations)# Do not crash if matplotlib is not installedtry:importmatplotlib.pyplotasplt nx.draw_networkx(graph, with_labels=True)# nx.draw_random(graph)# nx.draw_circular(graph)# nx.draw_spectral(graph)plt.show()exceptImportError: print("ERROR: cannot...
importnetworkxas nxprint(labels) pos = nx.spring_layout(G)nx.draw(G) plt.axis 浏览3提问于2015-05-19得票数1 5回答 networkx显示random_state_index不正确。 、 我试图用networkx和Python绘制简单的图形。这是我的密码:import matplotlib.pyplot as pltnx.draw(G, with_labelsis incorrectStackTrace:nx.dr...
spring_layout(sub_graph) nx.draw_networkx_nodes(sub_graph, pos, cmap=plt.get_cmap('jet'), node_size=300) nx.draw_networkx_labels(sub_graph, pos) nx.draw_networkx_edges(sub_graph, pos, arrows=True) plt.show() Example #7Source File: visualizer.py From swarmlib with BSD 3-Clause "...
with nx_pydot in nx.drawing, we can have more plotting style of network/ tree/ graph.Here is a simple sample:import networkx as nx g=nx.DiGraph() edgelist = [(0, 1), (1, 12), (2, 12), (3, 17), (4, 11), (5, 4), (6, 10), (7, 12), (8, 14), (9, 14), (...
def func1(name, age, sex, *args): ''' 打印姓名，年龄，性别 ''' print(...
draw_networkx(G, pos=None, arrows=True, with_labels=True, **kwds) 使用matplotlib绘制图g。 使用matplotlib绘制图形,其中包含节点位置、标签、…
nx_G=G.to_networkx().to_undirected() # Kamada-Kawaii layout usually looks pretty for arbitrary graphs pos=nx.kamada_kawai_layout(nx_G)# 画的图中的位置 [node_num,2] nx.draw(nx_G,pos,with_labels=True,node_color=[[.7,.7,.7]]) ...