Init work on epidem model prep
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Analysis/1_mo_color_DOTFILE.dot
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1774
Analysis/1_mo_color_DOTFILE.dot
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Analysis/prep_model.py
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56
Analysis/prep_model.py
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#!/usr/bin/python3
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import networkx as nx
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import matplotlib.pyplot as plt
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from collections import OrderedDict
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from operator import getitem
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import itertools, os
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# AGraph preserves attributes, networkx Graph does not.
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# Many of the desired functions are in networkx.
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# So import AGraph to keep attributes, then convert to Networkx.
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A = nx.drawing.nx_agraph.to_agraph(nx.drawing.nx_pydot.read_dot("./1_mo_color_DOTFILE.dot"))
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A.layout('dot')
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A.draw('tree.png')
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A.remove_node('\\n') # Remove "newline" node from newline end of dot file
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G=nx.DiGraph(A)
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color_map = []
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color_d = {}
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node_pos = {}
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# Compartments
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S = 0
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I = 0
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E = 0
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R = 0
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D = 0
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# Params
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beta = 0
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delta = 0
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gamma_r = 0
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gamma_d = 0
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mu = 0
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epsilon = 0
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omega = 0
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for node in A:
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color = A.get_node(node).attr.to_dict()['fillcolor']
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str_pos = A.get_node(node).attr.to_dict()['pos']
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coords = str_pos.split(',')
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x = coords[0] # layout for draw function
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y = coords[1]
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node_pos[node] = float(x), float(y)
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if color is None or color == '':
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color_map.append("white")
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color_d[node] = color
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in_edges = list(G.in_edges(node))
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elif color == 'yellow':
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color_map.append(color)
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color_d[node] = color
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in_edges = list(G.in_edges(node))
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else:
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color_map.append(color)
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color_d[node] = color
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in_edges = list(G.in_edges(node))
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BIN
Analysis/tree.png
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BIN
Analysis/tree.png
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