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barchars.py
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barchars.py
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#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sat May 20 14:14:27 2017
@author: carlos
"""
from pylab import figure, title, xlabel, ylabel, xticks, bar, \
legend, axis, savefig, grid
def plotObjectiveBars(fname, ptitle, ga, greedy):
# bar chart example
font = {'size' : 18}
matplotlib.rc('font', **font)
objectives = ["Cost", "Repair", "Lat.", "Weight."]
figure(figsize=(5,3))
title(ptitle)
#xlabel('x2.0 multiplier')
#ylabel('base count')
x1 = [2.0, 4.0, 6.0, 8.0]
x2 = [x - 0.5 for x in x1]
grid()
xticks(x1, objectives)
bar(x2, ga, width=0.5, color="#ADEAEA", label="GA")
bar(x1, greedy, width=0.5, color="#D98719", label="Greedy")
legend(fontsize=14)
axis([0.5, 9.5, 0, 1.05])
savefig("barchars/"+fname)
df = pd.read_csv("barchars/total.csv",";")
for value in [1.5,2.0,2.5,3.0,3.5,4.0,4.5,5.0]:
for parameter in ['cost','latency','capacity']:
costI =1.0
capacityI=1.0
latencyI=1.0
if parameter == 'cost':
costI = value
ptitle = str(value)+" "+parameter
if parameter == 'latency':
latencyI = value
if parameter == 'capacity':
capacityI = value
ptitle = "x"+str(value)+" "+parameter
fname = ptitle.replace('.','').replace(' ','')
fname +='.pdf'
strcase='cost'+str(costI)+'capacity'+str(capacityI)+'latency'+str(latencyI)
filtercase = df[df['case'] ==strcase]
dfga = filtercase[filtercase['alg']=='ga']
dfgreedy = filtercase[filtercase['alg']=='greedy']
ga = [ float(dfga['costNorm']) , float(dfga['repairNorm']) , float(dfga['latNorm']) , float(dfga['weighted']) ]
greedy = [ float(dfgreedy['costNorm']) , float(dfgreedy['repairNorm']) , float(dfgreedy['latNorm']) , float(dfgreedy['weighted']) ]
plotObjectiveBars(fname, ptitle, ga, greedy)