58 lines
1.3 KiB
Python
Executable File
58 lines
1.3 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Created on Mon Aug 7 09:44:33 2017
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@author: eddie
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"""
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import numpy as np
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import networkx as nx
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#import matplotlib.pyplot as plt
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#import ast
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#import json
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SymMat = open("SymMat.txt",'r')
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GrpSz = open("GrpSz.txt",'r')
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Mat = SymMat.read()
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sz = int(GrpSz.read())
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Mat = Mat.replace(" ","")
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Mat = Mat.replace("\n","")
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Mat = Mat.replace("[","")
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Mat = Mat.replace("]","")
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Mat = Mat.split(",")
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Mat = [float(i) for i in Mat]
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Mat = [Mat[x:x+sz] for x in range(0, len(Mat), sz)]
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Mat = np.array(Mat)
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Mat = np.triu(Mat)
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#Mat = json.loads(Mat)
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#Mat = ast.literal_eval(Mat)
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graph = nx.from_numpy_matrix(Mat)
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graph.edges(data=True)
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#layout = nx.circular_layout(graph) # or whatever layout you wish
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#nx.draw_circular(graph)
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#mapping = {0:r'$e$',1:r'$\delta$',2:r'$\sigma$',3:r'$\rho$',4:r'$\rho^2$',5:r'$\gamma$'}
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#graph=nx.relabel_nodes(graph,mapping)
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"""
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edgeLabels = {} # dictionary of node tuples to edge labels: {(nodeX, nodeY): aString}
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for a, b in graph.edges(): # loop over all the edges
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edgeLabels[(a, b)] = str(graph.get_edge_data(a, b, {"weight":0})["weight"])
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#nx.draw_networkx_edge_labels(graph,pos=layout, edge_labels=edgeLabels)
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"""
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#print(graph.edges())
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#nx.draw(graph,with_labels=True)
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nx.draw(graph, node_size=0.8)
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