/
joes_charter.py
executable file
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/
joes_charter.py
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from pylab import *
import csv
#from jmoo_problems import *
#from jmoo_algorithms import *
from jmoo_properties import *
from utility import *
fignum = 0
data = []
heads = []
best = []
foam = []
RRS_scores = []
RRS = []
for p,prob in enumerate(problems):
data.append([])
heads.append([])
best.append([])
foam.append([])
RRS.append([])
RRS_scores.append([])
for a,alg in enumerate(algorithms):
finput = open("Data/results_" + prob.name + "-p" + str(MU) + "-d" + str(len(prob.decisions)) + "-o" + str(len(prob.objectives)) + "_" + alg.name + ".datatable", 'rb')
f2input = open(DATA_PREFIX + RRS_TABLE + "_" + prob.name + "-p" + str(MU) + "-d" + str(len(prob.decisions)) + "-o" + str(len(prob.objectives)) + "_" + alg.name + DATA_SUFFIX, 'rb')
reader = csv.reader(finput, delimiter=',')
reader2 = csv.reader(f2input, delimiter=',')
data[p].append( [] )
heads[p].append( [] )
best[p].append( [] )
foam[p].append( [] )
RRS[p].append( [] )
RRS_scores[p].append( [] )
for o,obj in enumerate(prob.objectives):
foam[p][a].append([])
foam[p][a][o] = {}
RRS[p][a].append([])
RRS[p][a][o] = {}
for i,row in enumerate(reader2):
for j,col in enumerate(row):
if i == 0:
print col
RRS_scores[p][a].append([float(col.strip("%)( "))])
else:
RRS_scores[p][a][j].append(float(col.strip("%)( ")))
for o,obj in enumerate(prob.objectives):
n = RRS_scores[p][a][-1][-1]
n = (int(round(n/5.0)*5.0))
if n in RRS[p][a][o]: RRS[p][a][o][n].append(float(RRS_scores[p][a][o][-1]))
else: RRS[p][a][o][n] = [float(RRS_scores[p][a][o][-1])]
for i,row in enumerate(reader):
if not str(row[0]) == "0":
for j,col in enumerate(row):
if i == 0:
heads[p][a].append(col)
data[p][a].append([])
best[p][a].append(999999)
else:
if not col == "":
data[p][a][j].append(float(col.strip("%)(")))
if data[p][a][j][-1] < best[p][a][j]: best[p][a][j] = data[p][a][j][-1]
# row is now read
if i > 0:
for o,obj in enumerate(prob.objectives):
n = data[p][a][0][-1]
n = (int(round(n/20.0)*20.0))
if n in foam[p][a][o]: foam[p][a][o][n].append(float(data[p][a][o*3+2][-1]))
else: foam[p][a][o][n] = [float(data[p][a][o*3+2][-1])]
# all rows read
# Interpolate foam keys
for doit in range(5):
for o,obj in enumerate(prob.objectives):
keys = sorted(foam[p][a][o].keys())
for key,nextkey in zip(keys[0:-1], keys[1:]):
foam[p][a][o][(nextkey-key)/2 + key] = foam[p][a][o][key]
keys = sorted(foam[p][a][o].keys())
"""
if alg.name == "GALE":
skips = 5
dur = 20000
else:
skips = 100
dur = 20000
for o,obj in enumerate(prob.objectives):
for n in range(0, dur):
nk = (int(round(n/float(skips))*float(skips)))
if nk >= dur: nk = dur - skips
nk1 = nk
nk2 = nk
while len(foam[p][a][o][n]) == 0: # and (nk1 < dur or nk2 >= 0):
if nk1 < dur and len(foam[p][a][o][n]) == 0 and len(foam[p][a][o][nk1]) > 0:
for na in range(n, nk1):
foam[p][a][o][na].append(min(foam[p][a][o][nk1]) if obj.lismore else max(foam[p][a][o][nk1]))
if nk2 >= 0 and len(foam[p][a][o][n]) == 0 and len(foam[p][a][o][nk2]) > 0:
for na in range(nk2+1, n+1):
foam[p][a][o][na].append(min(foam[p][a][o][nk2]) if obj.lismore else max(foam[p][a][o][nk2]))
nk1 = nk1 + skips
#nk1 = (int(round(nk1/float(5.0))*float(5.0)))
nk2 = nk2 - skips
#nk2 = (int(round(nk2/float(5.0))*float(5.0)))
for n in range(0, 20000):
# print n, len(foam[p][a][o][n])
if len(foam[p][a][o][n]) == 0: foam[p][a][o][n].append(prob.referencePoint[o])
"""
fignum = 0
colors = ['r', 'b', 'g']
from matplotlib.font_manager import FontProperties
font = {'family' : 'sans-serif',
'weight' : 'normal',
'size' : 8}
matplotlib.rc('font', **font)
fontP = FontProperties()
fontP.set_size('x-small')
codes = ["rx", "b+", "g1"]
codes2= ["r-", "b-", "g-"]
colors= ["r", "b", "g"]
symbols=["x", "+", "1"]
line = "-"
dotted= "--"
algnames = [alg.name for alg in algorithms]
axy = [0,1,2,3]
axx = [0,0,0,0]
f, axarr = plt.subplots(max(2,max([len(prob.objectives) for prob in problems])), max(2,len(problems)))
for p,prob in enumerate(problems):
for o,obj in enumerate(prob.objectives):
maximum = -9999999.9
minimum = +9999999.9
if not o == 112:
o_o = o
if o > 4:
o_o = o - 1
for a,alg in enumerate(algorithms):
maximum = max(max(data[p][a][o*3+2]), maximum)
minimum = min(min(data[p][a][o*3+2]), minimum)
for a,alg in enumerate(algorithms):
if o == 0:
axarr[o_o][p].set_title(prob.name)
if p == 0:
axarr[o_o][p].set_ylabel(prob.objectives[o].name, rotation=90)
#axarr[o_o][p].plot([x for x in range(0,10000,10)], [100 for x in range(0,10000,10)], 'k-', [int(round(x/5.0)*5.0) for x in Data[p][a][0]], Data[p][a][o*3+2], codes[a],label=alg.name, markersize=1)
#axarr[o_o][p].plot([x for x in range(0,10000,10)], [best[p][a][o*3+2] for x in range(0,10000,10)], colors[a]+dotted, markersize=1)
#axarr[o_o][p].plot([x for x in Data[p][a][0]], [best[p][a][o*3+2] for x in Data[p][a][0]], codes2[a])
#axarr[o_o][p].plot([x for x in range(0,10000,10)], [100 for x in range(0,10000,10)], 'k-', [key for key in RRS[p][a][o].keys()], [getPercentile(RRS[p][a][o], 25), getPercentile(RRS[p][a][o], 50), getPercentile(RRS[p][a][o], 75)], codes[a],label=alg.name, markersize=4)
X = []
Y = []
for key in RRS[p][a][o]:
#print key, getPercentile(RRS[p][a][o][key], 25), getPercentile(RRS[p][a][o][key], 50), getPercentile(RRS[p][a][o][key], 75)
X += [key, key, key]
Y += [getPercentile(RRS[p][a][o][key], 25), getPercentile(RRS[p][a][o][key], 50), getPercentile(RRS[p][a][o][key], 75)]
for r in range(len(X)/3):
axarr[o_o][p].plot(X[r*3:(r+1)*3], Y[r*3:(r+1)*3], codes2[a],label=alg.name, markersize=1)
for r in range(3):
axarr[o_o][p].plot([X[(k)*3+r] for k in range(len(X)/3)], [Y[(k)*3+r] for k in range(len(X)/3)], colors[a]+["_", "o", "_"][r % 3],label=alg.name, markersize=[8, 3, 8][r])
axarr[o_o][p].plot([x for x in range(0,10000,10)], [100 for x in range(0,10000,10)], 'k-')
#axarr[o_o][p].plot([key for key in sorted(foam[p][a][o].keys())], [min(foam[p][a][o][key]) for key in sorted(foam[p][a][o].keys())], colors[a]+"-", markersize=1)
axarr[o_o][p].set_autoscale_on(False)
axarr[o_o][p].set_xlim([0, 10000])
axarr[o_o][p].set_xscale('log')
if maximum > 1000: axarr[o_o][p].set_yscale('log')
f.set_size_inches(2.75*4, 2.75*3)
"""
if obj.name == "Cost":
axarr[o_o][p].set_ylim([-10, 210])
elif obj.name == "Completion":
axarr[o_o][p].set_ylim([50, 150])
elif obj.name == "Idle":
axarr[o_o][p].set_ylim([-10, 210])
elif obj.name == "Score":
axarr[o_o][p].set_ylim([-10, 140])
else:
"""
axarr[o_o][p].set_ylim([minimum-(maximum-minimum)*0.10, maximum+(maximum-minimum)*0.10])
#if prob.name == "Viennet2":
# axarr[o_o][p].set_ylim([50, 110])
#xlabel("num evaluations")
#ylabel("% of initial")
#suptitle(prob.name, fontsize=11)
plt.subplots_adjust(top=0.85)
plt.subplots_adjust(bottom=0.15)
legend(loc='upper center', bbox_to_anchor=(-0.10, -0.10), ncol=3, prop=fontP)
#show()
fignum = len([name for name in os.listdir('Charts/' + date_folder_prefix)])
print fignum
plt.savefig('Charts/' + date_folder_prefix + '/figure' + str("%02d" % fignum) + "_" + "objectives_" + prob.name + "_" + tag + '.png', dpi=100)
cla()