[MSNoise] (no subject)

Thomas Lecocq thomas.lecocq at seismology.be
Fri Mar 21 22:30:15 UTC 2014


Hi Oscar,

It's the same problem as Esteban's . I'll have a look this weekend !

BY then, could you tell me the parameters used (in the filter 
configuration) ?

Cheers,

Thom

Le 21/03/2014 20:14, Oscar Alberto Castro Artola a écrit :
> Hi, I was trying tu run *s05compute_mwcs.py* but I get this error message:
>
> *Traceback (most recent call last):*
> *  File "s05compute_mwcs.py", line 118, in <module>*
> *    cur, ref, f.mwcs_low, f.mwcs_high, goal_sampling_rate, -maxlag,
> f.mwcs_wlen, f.mwcs_step)*
> *  File "/home/oscar/MSNoise-1.2.3/MWCS.py", line 145, in mwcs*
> *    res = sm.regression.linear_model.WLS(phi, v, w**2).fit()*
> *  File
> "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/regression/linear_model.py",
> line 381, in __init__*
> *    weights=weights, hasconst=hasconst)*
> *  File
> "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/regression/linear_model.py",
> line 79, in __init__*
> *    super(RegressionModel, self).__init__(endog, exog, **kwargs)*
> *  File
> "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/model.py",
> line 136, in __init__*
> *    super(LikelihoodModel, self).__init__(endog, exog, **kwargs)*
> *  File
> "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/model.py",
> line 52, in __init__*
> *    self.data = handle_data(endog, exog, missing, hasconst, **kwargs)*
> *  File
> "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/data.py",
> line 397, in handle_data*
> *    return klass(endog, exog=exog, missing=missing, hasconst=hasconst,
> **kwargs)*
> *  File
> "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/data.py",
> line 78, in __init__*
> *    self._check_integrity()*
> *  File
> "/home/oscar/anaconda/lib/python2.7/site-packages/statsmodels/base/data.py",
> line 246, in _check_integrity*
> *    if len(self.exog) != len(self.endog):*
> *TypeError: len() of unsized object*
>
> Thank you in advance!
>
> Oscar
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