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DocumentationIssues related to the SciPy documentation. Also check https://github.com/scipy/scipy.orgIssues related to the SciPy documentation. Also check https://github.com/scipy/scipy.orgdefectA clear bug or issue that prevents SciPy from being installed or used as expectedA clear bug or issue that prevents SciPy from being installed or used as expectedqueryA question or suggestion that requires further informationA question or suggestion that requires further informationscipy.interpolate
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scipy.__version__='0.17.0'
I tried to use the knots generated from UnivariateSpline to do a LSQUnivariateSpline fitting like this
fit = scipy.interpolate.UnivariateSpline( x, y, w=w, s=s)
knots = fit.get_knots()
newFit = scipy.interpolate.LSQUnivariateSpline(x, y, knots, w=w)
and got error
/usr/local/lib/python2.7/site-packages/scipy/interpolate/fitpack2.pyc in __init__(self, x, y, t, w, bbox, k, ext, check_finite)
726 n = len(t)
727 if not alltrue(t[k+1:n-k]-t[k:n-k-1] > 0, axis=0):
--> 728 raise ValueError('Interior knots t must satisfy '
729 'Schoenberg-Whitney conditions')
730 if not dfitpack.fpchec(x, t, k) == 0:
ValueError: Interior knots t must satisfy Schoenberg-Whitney conditions
i have checked the knots=fit.get_knots(), the first and last value is the first and last value of x, but
line 727 means that the first and last knot CAN NOT be the first and last x data in LSQUnivariateSpline.
change
727 if not alltrue(t[k+1:n-k]-t[k:n-k-1] > 0, axis=0):
to
727 if not alltrue(t[k+1:n-k]-t[k:n-k-1] >= 0, axis=0):
will solve this issue, but i'm not sure if this could cause other problems.
Any way, you can not init another fitting with the parameters got from a successful fitting, that's unreasonable...
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DocumentationIssues related to the SciPy documentation. Also check https://github.com/scipy/scipy.orgIssues related to the SciPy documentation. Also check https://github.com/scipy/scipy.orgdefectA clear bug or issue that prevents SciPy from being installed or used as expectedA clear bug or issue that prevents SciPy from being installed or used as expectedqueryA question or suggestion that requires further informationA question or suggestion that requires further informationscipy.interpolate