def plot_cdf_from_file(filename):
"""Open file, store cdf to .pdf and .png"""
import numpy as np
import matplotlib.pyplot as plt
data = np.genfromtxt(filename, delimiter=',')
# convert zeros to nans and clear empty rows
data[np.where(data==0)] = np.nan
data = data[~np.isnan(data).all(1)]
if not data.size:
print 'No data in ' + str(filename)
# SINR data is best presented in dB
from utils import utils
data = utils.WTodB(data)
import cdf_plot
label = [ "Iteration %d" %i for i in np.arange(data.shape[0])+1]
cdf_plot.cdf_plot(data, '-', label=label)
# plt.xlabel(xlabel)
# plt.ylabel(ylabel)
# plt.title(title)
plt.savefig(filename+'.pdf', format='pdf')
plt.savefig(filename+'.png', format='png')
def plot_cdf_from_file(filename):
"""Open file, store cdf to .pdf and .png"""
import numpy as np
import matplotlib.pyplot as plt
data = np.genfromtxt(filename, delimiter=',')
# convert zeros to nans and clear empty rows
data[np.where(data == 0)] = np.nan
data = data[~np.isnan(data).all(1)]
if not data.size:
print 'No data in ' + str(filename)
# SINR data is best presented in dB
from utils import utils
data = utils.WTodB(data)
import cdf_plot
label = ["Iteration %d" % i for i in np.arange(data.shape[0]) + 1]
cdf_plot.cdf_plot(data, '-', label=label)
# plt.xlabel(xlabel)
# plt.ylabel(ylabel)
# plt.title(title)
plt.savefig(filename + '.pdf', format='pdf')
plt.savefig(filename + '.png', format='png')
def plot_files( files ):
# and now plot
pylab.figure()
colors = "bgrkmcy"
markers = "sod^v*<>"
if options.nolines:
lines = " "
else:
lines = [ "-", "--", ":", "-.", "-","--",":" ]
i=0
legend_text = []
file_labels = None
if options.file_label:
file_labels=options.file_label.split(";")
current_file_index = 0
for file in files:
print "processing %s..."%file
values=read_values( file )
#print values
# need to build nice vectors for each of the y-values
x=numpy.array( sorted( values.keys() ) )
legend=options.legend.strip().split(",")
for j in xrange( 0,len(legend),2 ):
#print legend[j]
y=[]
err=[]
legend_text.append( legend[j+1] )
for xx in x:
y.append( values[xx][legend[j]] )
std_label = legend[j]+"_ci"
if std_label in values[xx]:
err.append( values[xx][std_label] )
y=numpy.array(y)
err=numpy.array(err)
additional_text=""
if file_labels:
additional_text = file_labels[current_file_index]
if options.cdf:
cdf_plot.cdf_plot( y, linestyle=lines[i], marker=markers[i],color=colors[i], label=legend_text[i]+additional_text, linewidth=2 )
elif options.errbars:
pylab.errorbar( x,y, [err,err], linestyle=lines[i], marker=markers[i],color=colors[i], label=legend_text[i]+additional_text, linewidth=2 )
else:
pylab.plot( x,y , linestyle=lines[i], color=colors[i], marker=markers[i],label=legend_text[i]+additional_text, linewidth=2 )
i+=1
current_file_index+=1
#print legend_text
export_fig( options.xlabel, options.ylabel, [])
def plot_cdf_from_file(filename):
"""Open file, store cdf to .pdf and .png"""
import numpy as np
import matplotlib.pyplot as plt
import pylab as P
data = np.genfromtxt(filename, delimiter=',')
# SINR data is best presented in dB
from utils import utils
data = utils.WTodB(data)
import cdf_plot
label = ["Iteration %d" % i for i in np.arange(data.shape[0]) + 1]
cdf_plot.cdf_plot(data, '-', label=label)
# plt.xlabel(xlabel)
# plt.ylabel(ylabel)
# plt.title(title)
P.arrow(0, 50, 40, 0, fc="k", ec="k", head_width=3, head_length=5)
plt.savefig(filename + '.pdf', format='pdf')
plt.savefig(filename + '.png', format='png')
def plot_cdf_from_file(filename):
"""Open file, store cdf to .pdf and .png"""
import numpy as np
import matplotlib.pyplot as plt
import pylab as P
data = np.genfromtxt(filename, delimiter=',')
# SINR data is best presented in dB
from utils import utils
data = utils.WTodB(data)
import cdf_plot
label = [ "Iteration %d" %i for i in np.arange(data.shape[0])+1]
cdf_plot.cdf_plot(data, '-', label=label)
# plt.xlabel(xlabel)
# plt.ylabel(ylabel)
# plt.title(title)
P.arrow( 0, 50, 40, 0, fc="k", ec="k",
head_width=3, head_length=5 )
plt.savefig(filename+'.pdf', format='pdf')
plt.savefig(filename+'.png', format='png')
