def make_graphs_cdf():
data = {}
times = {}
cdfs = []
title = sys.argv[1]
xl = sys.argv[2]
xr = np.arange( float(sys.argv[3]), float(sys.argv[4]), float(sys.argv[5]))
yl = sys.argv[6]
yr = np.arange( float(sys.argv[7]), float(sys.argv[8]), float(sys.argv[9]))
percent = float(sys.argv[10])
for filename in sys.argv[11:]:
data[filename] = datautil.read_httpress_file( filename )
times[filename] = map( lambda x : x.time, filter( lambda x: x.status == 'S', data[filename] ) )
#cdfs.append( datautil.make_cdf( times[filename], 1000 ) )
cdfs.append( times[filename][0:int(len(times[filename])*percent)] )
#cdfs.append( times[filename] )
cdf_compare( cdfs, title, xl, xr, yl, yr )
def make_graphs_cdf():
data = {}
times = {}
cdfs = []
title = sys.argv[1]
xl = sys.argv[2]
xr = np.arange(float(sys.argv[3]), float(sys.argv[4]), float(sys.argv[5]))
yl = sys.argv[6]
yr = np.arange(float(sys.argv[7]), float(sys.argv[8]), float(sys.argv[9]))
percent = float(sys.argv[10])
for filename in sys.argv[11:]:
data[filename] = datautil.read_httpress_file(filename)
times[filename] = map(
lambda x: x.time, filter(lambda x: x.status == 'S',
data[filename]))
#cdfs.append( datautil.make_cdf( times[filename], 1000 ) )
cdfs.append(times[filename][0:int(len(times[filename]) * percent)])
#cdfs.append( times[filename] )
cdf_compare(cdfs, title, xl, xr, yl, yr)
#!/usr/bin/python
import matplotlib.pyplot as plt
import numpy
import sys
sys.path.append("/home/jude/Desktop/research/syndicate/data")
import datautil
if __name__ == "__main__":
data_100 = datautil.read_httpress_file("rp4-b1-c100-GET-61140.txt")
data_500 = datautil.read_httpress_file("rp4-b1-c500-GET-61140.txt")
success_times_100 = map(lambda x: x.time,
filter(lambda x: x.status == 'S', data_100))
success_times_500 = map(lambda x: x.time,
filter(lambda x: x.status == 'S', data_500))
success_cdf_100 = datautil.make_cdf(success_times_100, 1000)
success_cdf_500 = datautil.make_cdf(success_times_500, 1000)
datautil.show_cdfs([success_cdf_100],
xticks=0.1,
xspacing=25,
yticks=0.0125,
yspacing=2,
xlabel="Seconds",
ylabel="CDF(x)")
datautil.show_cdfs([success_cdf_500],
xticks=0.1,
#!/usr/bin/python
import matplotlib.pyplot as plt
import numpy
import sys
sys.path.append("/home/jude/Desktop/research/syndicate/data")
import datautil
if __name__ == "__main__":
data_100 = datautil.read_httpress_file("rp4-b1-c100-GET-61140.txt")
data_500 = datautil.read_httpress_file("rp4-b1-c500-GET-61140.txt")
success_times_100 = map( lambda x: x.time, filter( lambda x: x.status == 'S', data_100 ) )
success_times_500 = map( lambda x: x.time, filter( lambda x: x.status == 'S', data_500 ) )
success_cdf_100 = datautil.make_cdf( success_times_100, 1000 )
success_cdf_500 = datautil.make_cdf( success_times_500, 1000 )
datautil.show_cdfs( [success_cdf_100], xticks=0.1, xspacing=25, yticks=0.0125, yspacing=2, xlabel="Seconds", ylabel="CDF(x)" )
datautil.show_cdfs( [success_cdf_500], xticks=0.1, xspacing=25, yticks=0.0125, yspacing=2, xlabel="Seconds", ylabel="CDF(x)" )