1 files changed, 44 insertions, 0 deletions
diff --git a/src/Nerve_GIC/example/visu.py b/src/Nerve_GIC/example/visu.py
new file mode 100755
index 00000000..06d22abd
--- /dev/null
+++ b/src/Nerve_GIC/example/visu.py
@@ -0,0 +1,44 @@
+import km
+import numpy as np
+from collections import defaultdict
+
+network = {}
+mapper = km.KeplerMapper(verbose=0)
+data = np.zeros((3,3))
+projected_data = mapper.fit_transform( data, projection="sum", scaler=None )
+
+f = open('SC.txt','r')
+nodes = defaultdict(list)
+links = defaultdict(list)
+custom = defaultdict(list)
+
+dat = f.readline()
+lens = f.readline()
+color = f.readline();
+param = [float(i) for i in f.readline().split(" ")]
+
+nums = [int(i) for i in f.readline().split(" ")]
+num_nodes = nums[0]
+num_edges = nums[1]
+
+for i in range(0,num_nodes):
+	point = [float(j) for j in f.readline().split(" ")]
+	nodes[  str(int(point[0]))  ] = [  int(point[0]), point[1], int(point[2])  ]
+	links[  str(int(point[0]))  ] = []
+	custom[  int(point[0])  ] = point[1]
+
+m = min([custom[i] for i in range(0,num_nodes)])
+M = max([custom[i] for i in range(0,num_nodes)])
+
+for i in range(0,num_edges):
+	edge = [int(j) for j in f.readline().split(" ")]	
+	links[  str(edge[0])  ].append(  str(edge[1])  )	
+	links[  str(edge[1])  ].append(  str(edge[0])  )
+
+network["nodes"] = nodes
+network["links"] = links
+network["meta"] = lens
+
+mapper.visualize(network, color_function = color, path_html="SC.html", title=dat,
+graph_link_distance=30, graph_gravity=0.1, graph_charge=-120, custom_tooltips=custom, width_html=0, 
+height_html=0, show_tooltips=True, show_title=True, show_meta=True, res=param[0],gain=param[1], minimum=m,maximum=M)
+\ No newline at end of file