source: cpp/frams/_demos/geneprops_graph.py @ 1296

Last change on this file since 1296 was 1242, checked in by Maciej Komosinski, 18 months ago

Changed the default behavior of modifier genes in f1 and f4 to GenePropsOps_New05: the coefficient of change is set to 0.5 for all properties and for both increase and decrease, which ensures an equal distribution of target property values with a relatively fast convergence to minimal and maximal values; the four "biological" properties are no longer aggregated and normalized

File size: 1.8 KB
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1# This file is a part of Framsticks SDK.  http://www.framsticks.com/
2# Copyright (C) 2023  Maciej Komosinski and Szymon Ulatowski.
3# See LICENSE.txt for details.
4
5import matplotlib.pyplot as plt
6from matplotlib.collections import LineCollection
7import sys
8import csv
9
10# Visualizing the influence of Framsticks f1/f4 modifier sequences. See also geneprops_test.cpp
11# usage:
12# ./geneprops_test f 3 -e | python3 frams/_demos/geneprops_graph.py
13#
14# See also https://colab.research.google.com/drive/1x9FTAUQKFhvxX_IyEcglWRWa4ylZeY-7?usp=sharing
15
16#################################################
17# loading
18
19nodes_list = [] # ['modifiers', value]
20
21for line in csv.reader(sys.stdin.readlines(),delimiter='\t'):
22    if line[0]=='-':
23        line[0]=''
24    nodes_list.append([line[0],float(line[1])])
25
26nodes_dict = {} # ['modifiers', value, [children,...]]
27   
28for n in sorted(nodes_list, key=lambda e: len(e[0])):
29    tree_node = [n[0],n[1],[]]
30    if n[0]!='':
31        nodes_dict[n[0][:-1]][2].append(tree_node)
32    nodes_dict[n[0]] = tree_node
33   
34#################################################
35# plotting
36
37fig, ax = plt.subplots(figsize=(4, 4))
38ax.set(title="Tree of modifier values")
39
40segs=[]
41for n in nodes_dict.values():
42    for child in n[2]:
43        segs.append( ((len(n[0]),n[1]),(len(n[0])+1,child[1])) )
44
45linecol = LineCollection(segs, linewidths=2, linestyle='solid')
46ax.add_collection(linecol)
47
48node_x = [len(n[0]) for n in nodes_dict.values()]
49node_y = [n[1] for n in nodes_dict.values()]
50
51ax.plot(node_x, node_y, "o", color="w", markerfacecolor="r")
52
53for n in nodes_dict.values():
54    ax.annotate(n[0], (len(n[0]),n[1]), textcoords="offset points", horizontalalignment="right", verticalalignment='center', xytext=(-4,0))
55
56ax.xaxis.set_visible(False)
57plt.show()
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