def testClust(self):
clusts = list(self.graph.clustering_indices(self.nodes))
p = Plot()
p.clear()
p.title = 'Clustering index distribution'
p.x_label = 'c : node clustering index'
p.y_label = 'P(c)'
_, _ = p.dist_plot(clusts, 10, True, True, True)
#p.show()
pass
def testGraphHistogram(self):
self.graph = Graph()
self.graph.debug = False
self.graph.input_debug_links = 200000
self.graph.output_debug_nodes = 10000
self.graph.load_edgelist(StringIO(example_txt2))
degrees = list(self.graph.degrees())
p = Plot()
p.clear()
p.hist(degrees, 15, True, True, False)
def testDegree(self):
degrees = list(self.graph.degrees(self.nodes))
p = Plot()
p.clear()
p.title = 'Degree distribution'
p.x_label = 'd : node degree'
p.y_label = 'P(d)'
p.dist_plot(degrees, 10, True, True, True)
#p.show()
pass
def testPlotSave(self):
self.graph = Graph()
self.graph.debug = False
self.graph.input_debug_links = 200000
self.graph.output_debug_nodes = 10000
self.graph.load_edgelist(StringIO(example_txt))
clusts = list(self.graph.eccentricities())
clusts
p = Plot()
p.clear()
p.hist(clusts, 3, True, True, True)
p.save('testPlotSave.png')
def testBasicHistogram(self):
x = map(lambda x: 2**x, range(0, 5))
p = Plot()
p.clear()
p.hist(x, 4, False, False, False)
def testPlot2D(self):
x = range(0, 5) + [1]
y = map(lambda x: 2**x, range(0, 5)) + [3]
p = Plot()
p.clear()
p.dist_plot_2d(x, y, 5, False)