Ejemplo n.º 1
0
from agpy import readcol

try:
    ne = int(sys.argv[1])
    seed(1)
    X=plfit.plexp_inv(rand(ne),1,2.5)
    X[:100] = X[100:200]
except ValueError:
    X = readcol(sys.argv[1])

if len(sys.argv)>2:
    discrete = bool(sys.argv[2])
else:
    discrete=None

print "Cython"
t1=time.time(); p3=plfit.plfit(X,discrete=discrete,usefortran=False,usecy=True); print time.time()-t1
print "Fortran"
t1=time.time(); p1=plfit.plfit(X,discrete=discrete,usefortran=True); print time.time()-t1
print "Numpy"
t1=time.time(); p3=plfit.plfit(X,discrete=discrete,usefortran=False); print time.time()-t1

print "Jeff Alcott's Powerlaw"
t5=time.time(); p5=powerlaw.Fit(X,discrete=discrete); print time.time()-t5



print "Pure Python"
t4=time.time(); p4=plfit.plfit_py(X.tolist()); print time.time()-t4

Ejemplo n.º 2
0
except ValueError:
    X = readcol(sys.argv[1])

if len(sys.argv) > 2:
    discrete = bool(sys.argv[2])
else:
    discrete = None

print("Cython")
t1 = time.time()
p3 = plfit.plfit(X, discrete=discrete, usefortran=False, usecy=True)
print(time.time() - t1)
print("Fortran")
t1 = time.time()
p1 = plfit.plfit(X, discrete=discrete, usefortran=True)
print(time.time() - t1)
print("Numpy")
t1 = time.time()
p3 = plfit.plfit(X, discrete=discrete, usefortran=False)
print(time.time() - t1)

print("Jeff Alcott's Powerlaw")
t5 = time.time()
p5 = powerlaw.Fit(X, discrete=discrete)
print(time.time() - t5)

print("Pure Python")
t4 = time.time()
p4 = plfit.plfit_py(X.tolist())
print(time.time() - t4)
Ejemplo n.º 3
0
import scipy.io
import plfit
import time

m = scipy.io.loadmat('AUD_Ret_1000.mat')
A = m['A'].squeeze()
Pnpy = plfit.plfit(A)
Pfor = plfit.plfit(A)
Pfor_nosmall = plfit.plfit(A)
Pcy = plfit.plfit(A)
Py = plfit.plfit_py(A)

# for comparison
r_for_nosmall = Pfor_nosmall.plfit(usefortran=True,
                                   verbose=True,
                                   quiet=False,
                                   discrete=False,
                                   nosmall=True)

t0 = time.time()
r_for = Pfor.plfit(usefortran=True,
                   verbose=True,
                   quiet=False,
                   discrete=False,
                   nosmall=False)
t1 = time.time()
r_cy = Pcy.plfit(usecy=True,
                 verbose=True,
                 quiet=False,
                 discrete=False,
                 nosmall=False)
Ejemplo n.º 4
0
import scipy.io
import plfit
import time

m = scipy.io.loadmat('AUD_Ret_1000.mat')
A = m['A'].squeeze()
Pnpy = plfit.plfit(A)
Pfor = plfit.plfit(A)
Pfor_nosmall = plfit.plfit(A)
Pcy = plfit.plfit(A)
Py = plfit.plfit_py(A)


# for comparison
r_for_nosmall = Pfor_nosmall.plfit(usefortran=True, verbose=True, quiet=False, discrete=False, nosmall=True)

t0 = time.time()
r_for = Pfor.plfit(usefortran=True, verbose=True, quiet=False, discrete=False, nosmall=False)
t1 = time.time()
r_cy  = Pcy.plfit(usecy=True, verbose=True, quiet=False, discrete=False, nosmall=False)
t2 = time.time()
r_ppy = Py.plfit(nosmall=False)
t3 = time.time()
r_npy = Pnpy.plfit(usefortran=False, usecy=False, verbose=True, quiet=False, discrete=False, nosmall=False)
t4 = time.time()

print("xmin,alpha for 4 different implementations: ")
print("npy: ",r_npy)
print("ppy: ",r_ppy)
print("for: ",r_cy)
print("cy:  ",r_for)
Ejemplo n.º 5
0
#import cplfit
import plfit
import time
from numpy.random import rand,seed
from numpy import unique,sort,array,asarray,log,sum,min,max,argmin,argmax,arange
import sys
ne = int(sys.argv[1])
seed(1)
X=plfit.plexp_inv(rand(ne),1,2.5)
X[:100] = X[100:200]
print "Cython"
t1=time.time(); p3=plfit.plfit(X,usefortran=False,usecy=True); print time.time()-t1
print "Fortran"
t1=time.time(); p1=plfit.plfit(X,usefortran=True); print time.time()-t1
print "Numpy"
t1=time.time(); p3=plfit.plfit(X,usefortran=False); print time.time()-t1

print "Pure Python"
t4=time.time(); p4=plfit.plfit_py(X); print time.time()-t4