+ cma_sa application
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Caner Candan
parent
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6 changed files with 591 additions and 0 deletions
232
application/cma_sa/plot.py
Executable file
232
application/cma_sa/plot.py
Executable file
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#!/usr/bin/env python
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"""plot.py -- Plot CMA-SA results file"""
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import os, time, math, tempfile
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import numpy
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try:
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import Gnuplot, Gnuplot.PlotItems, Gnuplot.funcutils
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except ImportError:
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# kludge in case Gnuplot hasn't been installed as a module yet:
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import __init__
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Gnuplot = __init__
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import PlotItems
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Gnuplot.PlotItems = PlotItems
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import funcutils
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Gnuplot.funcutils = funcutils
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def wait(str=None, prompt='Press return to show results...\n'):
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if str is not None:
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print str
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raw_input(prompt)
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def draw2DRect(min=(0,0), max=(1,1), color='black', state=None, g=None):
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if g == None: g = Gnuplot.Gnuplot()
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if state != None: state.append(g)
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xmin, ymin = min
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xmax, ymax = max
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cmd = 'set arrow from %s,%s to %s,%s nohead lc rgb "%s"'
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g(cmd % (xmin, ymin, xmin, ymax, color))
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g(cmd % (xmin, ymax, xmax, ymax, color))
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g(cmd % (xmax, ymax, xmax, ymin, color))
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g(cmd % (xmax, ymin, xmin, ymin, color))
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return g
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def draw3DRect(min=(0,0,0), max=(1,1,1), state=None, g=None):
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if g == None: g = Gnuplot.Gnuplot()
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if state != None: state.append(g)
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# TODO
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return g
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def getSortedFiles(path):
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assert path != None
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filelist = os.listdir(path)
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filelist.sort()
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return filelist
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def plotXPointYFitness(path, fields='3:1', state=None, g=None):
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if g == None: g = Gnuplot.Gnuplot()
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if state != None: state.append(g)
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g.title('Fitness observation')
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g.xlabel('Coordinates')
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g.ylabel('Fitness (Quality)')
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files=[]
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for filename in getSortedFiles(path):
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files.append(Gnuplot.File(path + '/' + filename, using=fields,
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with_='points',
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title='distribution \'' + filename + '\''))
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g.plot(*files)
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return g
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def plotXYPointZFitness(path, fields='4:3:1', state=None, g=None):
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if g == None: g = Gnuplot.Gnuplot()
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if state != None: state.append(g)
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g.title('Fitness observation in 3-D')
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g.xlabel('x-axes')
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g.ylabel('y-axes')
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g.zlabel('Fitness (Quality)')
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files=[]
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for filename in getSortedFiles(path):
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files.append(Gnuplot.File(path + '/' + filename, using=fields,
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with_='points',
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title='distribution \'' + filename + '\''))
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g.splot(*files)
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return g
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def plotXYPoint(path, fields='3:4', state=None, g=None):
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if g == None: g = Gnuplot.Gnuplot()
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if state != None: state.append(g)
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g.title('Points observation in 2-D')
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g.xlabel('x-axes')
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g.ylabel('y-axes')
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files=[]
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for filename in getSortedFiles(path):
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files.append(Gnuplot.File(path + '/' + filename, using=fields,
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with_='points',
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title='distribution \'' + filename + '\''))
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g.plot(*files)
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return g
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def plotXYZPoint(path, fields='3:4:5', state=None, g=None):
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if g == None: g = Gnuplot.Gnuplot()
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if state != None: state.append(g)
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g.title('Points observation in 3-D')
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g.xlabel('x-axes')
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g.ylabel('y-axes')
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g.zlabel('z-axes')
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files=[]
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for filename in getSortedFiles(path):
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files.append(Gnuplot.File(path + '/' + filename, using=fields,
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with_='points',
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title='distribution \'' + filename + '\''))
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g.splot(*files)
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return g
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def plotParams(path, field='1', state=None, g=None):
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if g == None: g = Gnuplot.Gnuplot()
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if state != None: state.append(g)
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g.title('Hyper-volume comparaison through all dimensions')
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g.xlabel('Iterations')
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g.ylabel('Hyper-volume')
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g.plot(Gnuplot.File(path, with_='lines', using=field,
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title='multivariate distribution narrowing'))
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return g
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def plot2DRectFromFiles(path, state=None, g=None, plot=True):
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if g == None: g = Gnuplot.Gnuplot()
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if state != None: state.append(g)
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g.title('Rectangle drawing observation')
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g.xlabel('x-axes')
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g.ylabel('y-axes')
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x1,x2,y1,y2 = 0,0,0,0
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colors = ['red', 'orange', 'blue', 'green', 'gold', 'yellow', 'gray']
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#colors = open('rgb.txt', 'r').readlines()
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colors_size = len(colors)
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i = 0 # for color
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for filename in getSortedFiles(path):
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line = open(path + '/' + filename, 'r').readline()
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fields = line.split(' ')
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if not fields[0] == '2':
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print 'plot2DRectFromFiles: higher than 2 dimensions not possible to draw'
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return
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xmin,ymin,xmax,ymax = fields[1:5]
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#print xmin,ymin,xmax,ymax
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cur_color = colors[i % colors_size]
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draw2DRect((xmin,ymin), (xmax,ymax), cur_color, g=g)
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g('set obj rect from %s,%s to %s,%s back lw 1.0 fc rgb "%s" fillstyle solid 1.00 border -1'
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% (xmin,ymin,xmax,ymax,cur_color)
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)
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if plot:
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if float(xmin) < x1: x1 = float(xmin)
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if float(ymin) < y1: y1 = float(ymin)
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if float(xmax) > x2: x2 = float(xmax)
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if float(ymax) > y2: y2 = float(ymax)
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#print x1,y1,x2,y2
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i += 1
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#print x1,y1,x2,y2
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if plot:
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g.plot('[%s:%s][%s:%s] -9999 notitle' % (x1, x2, y1, y2))
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return g
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def main(n):
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gstate = []
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if n >= 1:
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plotXPointYFitness('./ResPop', state=gstate)
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if n >= 2:
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plotXPointYFitness('./ResPop', '4:1', state=gstate)
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if n >= 2:
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plotXYPointZFitness('./ResPop', state=gstate)
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if n >= 3:
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plotXYZPoint('./ResPop', state=gstate)
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if n >= 1:
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plotParams('./ResParams.txt', state=gstate)
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if n >= 2:
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plot2DRectFromFiles('./ResBounds', state=gstate)
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plotXYPoint('./ResPop', state=gstate)
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g = plot2DRectFromFiles('./ResBounds', state=gstate, plot=False)
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plotXYPoint('./ResPop', g=g)
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wait(prompt='Press return to end the plot.\n')
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pass
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# when executed, just run main():
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if __name__ == '__main__':
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from sys import argv, exit
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if len(argv) < 2:
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print 'Usage: plot [dimension]'
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exit()
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main(int(argv[1]))
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