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@ -803,6 +803,9 @@ class SpecData1D(WafoData):
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>>> S.data[100:-1] = 0.0
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>>> Nt = len(S.data)-1
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>>> acf = S.tocovdata(nr=0, nt=Nt)
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>>> S1 = acf.tospecdata()
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>>> h = S.plot('r')
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>>> h1 = S1.plot('b:')
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R = spec2cov(spec,0,Nt)
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win = parzen(2*Nt+1)
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@ -2345,8 +2348,8 @@ class SpecData1D(WafoData):
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newNfft = 2 ** nextpow2(ceil(wnNew / dwMin)) + 1
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if newNfft > nfft:
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if (nfft <= 2 ** 15 + 1) and (newNfft > 2 ** 15 + 1):
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warnings.warn('Spectrum matrix is very large (>33k). Memory problems may occur.')
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#if (nfft <= 2 ** 15 + 1) and (newNfft > 2 ** 15 + 1):
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# warnings.warn('Spectrum matrix is very large (>33k). Memory problems may occur.')
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nfft = newNfft
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self.args = linspace(0, wnNew, nfft)
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@ -2442,18 +2445,16 @@ class SpecData1D(WafoData):
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>>> Sj = sm.Jonswap(Hm0=3, Tp=7)
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>>> w = np.linspace(0,4,256)
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>>> S = SpecData1D(Sj(w),w) #Make spectrum object from numerical values
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>>> S.bandwidth([0,1,2,3])
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>>> S.bandwidth([0,'eps2',2,3])
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array([ 0.73062845, 0.34476034, 0.68277527, 2.90817052])
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'''
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# if self.freqtype in 'k':
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# vari = 'k'
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# else:
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# vari = 'w'
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m, unused_mtxt = self.moment(nr=4, even=False)
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fact = atleast_1d(factors)
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fact_dict=dict(alpha=0,eps2=1,eps4=3,qp=3,Qp=3)
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fun = lambda fact: fact_dict.get(fact,fact)
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fact = atleast_1d(map(fun,list(factors)))
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#fact = atleast_1d(fact)
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alpha = m[2] / sqrt(m[0] * m[4])
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eps2 = sqrt(m[0] * m[2] / m[1] ** 2. - 1.)
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eps4 = sqrt(1. - m[2] ** 2. / m[0] / m[4])
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@ -2956,7 +2957,7 @@ class SpecData2D(WafoData):
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>>> SD = D.tospecdata2d(sm.Jonswap().tospecdata(),nt=101)
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>>> m,mtext = SD.moment(nr=2,vari='xyt')
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>>> np.round(m,3),mtext
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(array([ 3.061, 0.132, 0. , 2.13 , 0.011, 0.008, 1.677, -0. ,
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(array([ 3.061, 0.132, -0. , 2.13 , 0.011, 0.008, 1.677, -0. ,
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0.109, 0.109]), ['m0', 'mx', 'my', 'mt', 'mxx', 'myy', 'mtt', 'mxy', 'mxt', 'myt'])
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References
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@ -3137,7 +3138,7 @@ class SpecData2D(WafoData):
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self.labels.ylab = labels[1]
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self.labels.zlab = labels[2]
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def test_specdata():
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def _test_specdata():
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import wafo.spectrum.models as sm
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Sj = sm.Jonswap()
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S = Sj.tospecdata()
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