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May 19, 2019 22:26
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#!/bin/python | |
# Connell Paxton | |
import plotly as pl | |
import plotly.graph_objs as go | |
from sys import argv | |
from random import randint | |
crx = [] # [0] | |
mut = [] # [1] | |
gav= [] # [2] | |
avg = [] # [3] | |
gst = [] # [4] | |
std = [] # [5] | |
gmn = [] # [6] | |
min = [] # [7] | |
gmx = [] # [8]""" | |
max = [] # [3] # [9] | |
i = open(argv[1], "r") | |
for line in i.readlines(): | |
(_cx, _mu, _ga, _avg, _gs, _s, _gm, _m, _gmx, _max) = line.split() | |
#crx.append(_cx) | |
#mut.append(_mu) | |
avg.append(_avg) | |
#std.append(_std) | |
#min.append(_min) | |
max.append(_max) | |
_crx = [] | |
_mut = [] | |
for i in range(8): | |
_crx.append(0.55 + i* 0.05) | |
for i in range(10): | |
_mut.append(0.005 + i* 0.001) | |
mut = _mut | |
crx = _crx | |
colors = [ | |
'200, 56, 23', | |
'45, 0, 122', | |
'231, 44, 0', | |
'243, 233, 199', | |
'256, 0, 0', | |
'0, 256, 0', | |
'256, 256, 0', | |
'256, 0, 256', | |
'0, 0, 0' | |
] | |
mut_avg = [go.Scatter( | |
x = crx, | |
y = avg[0:8], | |
name = "0.005", | |
line = dict( | |
color = 'rgb(200, 56, 23)', | |
dash = 'solid' | |
) | |
)] | |
mut_max = [] | |
data_avg = [] | |
data_max = [] | |
__avg = [] | |
for i in range(8): | |
temp = mut_avg[i] | |
temp.name = str(mut[i]) | |
temp.y = avg[i*10:i*10+9] | |
eval("mut_avg.append(go.Scatter(x=crx,y=temp.y, name=temp.name, line = dict(color='rgb('+colors[i+1]+')')))") | |
print(temp) | |
for i in range(9): | |
temp = mut_avg[i] | |
name = str(mut[i]) | |
y = max[i*10:i*10+9] | |
eval("mut_max.append(go.Scatter(x=crx,y=y, name=name, line = dict(color='rgb(' + colors[i]+ ')', dash = 'solid')))") | |
print(temp) | |
for i in range(9): | |
data_avg.append(go.Scatter(mut_avg[i])) | |
data_max.append(go.Scatter(mut_max[i])) | |
print len(mut_max) | |
layout = dict(title = "Fitness vs Crossover & Mutation", | |
xaxis = dict(title = "Crossover"), | |
yaxis = dict(title = "Fitness") | |
) | |
fig1 = dict(data=data_avg, layout=layout) | |
fig2 = dict(data=data_max, layout=layout) | |
pl.offline.plot(fig1, filename=argv[2], auto_open=False) | |
pl.offline.plot(fig2, filename=argv[3], auto_open=False) |
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