From c69f54dc0ce6fb73653da42e7055ce3cd82fa11a Mon Sep 17 00:00:00 2001 From: "per.andreas.brodtkorb" Date: Fri, 25 Nov 2011 03:37:57 +0000 Subject: [PATCH] Small bugfixes --- pywafo/src/wafo/kdetools.py | 53 +++++++++++++++++++++++++-- pywafo/src/wafo/test/test_kdetools.py | 1 + 2 files changed, 50 insertions(+), 4 deletions(-) diff --git a/pywafo/src/wafo/kdetools.py b/pywafo/src/wafo/kdetools.py index 64a3f80..09c5de6 100644 --- a/pywafo/src/wafo/kdetools.py +++ b/pywafo/src/wafo/kdetools.py @@ -15,7 +15,7 @@ from misc import tranproc #, trangood from numpy import pi, sqrt, atleast_2d, exp, newaxis #@UnresolvedImport from scipy import interpolate, linalg, sparse from scipy.special import gamma -from scipy.optimize import brentq +import scipy.optimize as optimize from wafo.misc import meshgrid from wafo.wafodata import WafoData @@ -1366,7 +1366,7 @@ class Kernel(object): h[dim] = h1 #end % for dim loop return h - def hisj(self, data, inc=128): + def hisj(self, data, inc=512, L=5): ''' HISJ Improved Sheather-Jones estimate of smoothing parameter. @@ -1415,7 +1415,7 @@ class Kernel(object): ''' this implements the function t-zeta*gamma^[L](t)''' prod = np.prod - L = 7 + #L = 7 logI = np.log(I) f = 2 * pi**(2 * L) * (a2 * exp(L * logI -I * pi ** 2 * t)).sum() for s in range(L - 1, 1, -1): @@ -1440,11 +1440,30 @@ class Kernel(object): I = np.asfarray(np.arange(1, inc))**2 a2 = (a[1:]/2)**2 fun = lambda t: fixed_point(t, N, I, a2) + x = np.linspace(0, 0.1, 150) + ai = x[0] + f0 = fun(ai) + for bi in x[1:]: + f1 = fun(bi) + if f1*f0<=0: + #print('ai = %g, bi = %g' % (ai,bi)) + break + else: + ai = bi + y = np.asarray([fun(j) for j in x]) + #pylab.figure(1) + #pylab.plot(x,y) + #pylab.show() + # use fzero to solve the equation t=zeta*gamma^[5](t) try: - t_star = brentq(fun, a=0, b=.1) + t_star = optimize.brentq(fun, a=ai, b=bi) except: +# try: +# t_star = optimize.bisect(fun, a=ai, b=bi+1) +# except: t_star = 0.28*N**(-2./5) + warnings.warn('Failure in obtaining smoothing parameter') # smooth the discrete cosine transform of initial data using t_star # a_t = a*exp(-np.arange(inc)**2*pi**2*t_star/2) @@ -2698,6 +2717,32 @@ def kde_demo5(N=50): pylab.plot(x + loc, st.norm.pdf(x, 0, scale=1)/2, 'k:', label='True density') pylab.legend() +def kde_demo6(N=500): + '''Demonstrate that the improved Sheather-Jones plug-in (hisj) is superior + for multimodal distributions + + KDEDEMO5 shows that the improved Sheather-Jones plug-in smoothing is a better + compared to normal reference rules (in this case the hns) + ''' + import scipy.stats as st + + data = np.hstack((st.norm.rvs(loc=5, scale=1, size=(2,N,)), + st.norm.rvs(loc=-5, scale=1, size=(2,N,)))) + kde = KDE(data, kernel=Kernel('gauss', 'hns')) + f = kde(output='plot', title='Ordinary KDE (hns=%g %g)' % tuple(kde.hs.tolist()), plotflag=1) + + kde1 = KDE(data, kernel=Kernel('gauss', 'hisj')) + f1 = kde1(output='plot', title='Ordinary KDE (hisj=%g %g)' % tuple(kde1.hs.tolist()), plotflag=1) + + pylab.figure(0) + pylab.clf() + f.plot() + pylab.plot(data[0], data[1], '.') + pylab.figure(1) + pylab.clf() + f1.plot() + pylab.plot(data[0], data[1], '.') + def test_docstrings(): import doctest doctest.testmod() diff --git a/pywafo/src/wafo/test/test_kdetools.py b/pywafo/src/wafo/test/test_kdetools.py index bdd5180..23e79d1 100644 --- a/pywafo/src/wafo/test/test_kdetools.py +++ b/pywafo/src/wafo/test/test_kdetools.py @@ -222,6 +222,7 @@ def test_smooth_params(): ... 0.602882730000000, 1.368836350000000, 1.747543260000000, 1.095475610000000, ... 1.016711330000000, 0.732111430000000, 0.618917190000000, 0.759034870000000, ... 1.891946900000000, 0.724338080000000, 1.929730940000000, 0.447498380000000, 1.365084520000000]) + ''' def test_gridcount_1D(): '''