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              "value": "Restriction: only cubic splines are supported by FITPACK. For non-cubic splines, use "
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              "value": "Return the zeros of the spline."
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        "value": "For some data, this method may miss a root. This happens when one of\nthe spline knots (which FITPACK places automatically) happens to\ncoincide with the true root. A workaround is to convert to `PPoly`,\nwhich uses a different root-finding algorithm.\n\nFor example,\n\n"
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        "value": "x = [1.96, 1.97, 1.98, 1.99, 2.00, 2.01, 2.02, 2.03, 2.04, 2.05]\ny = [-6.365470e-03, -4.790580e-03, -3.204320e-03, -1.607270e-03,\n     4.440892e-16,  1.616930e-03,  3.243000e-03,  4.877670e-03,\n     6.520430e-03,  8.170770e-03]\nfrom scipy.interpolate import UnivariateSpline\nspl = UnivariateSpline(x, y, s=0)\nspl.roots()\n",
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        "value": "from scipy.interpolate import splrep, PPoly\ntck = splrep(x, y, s=0)\nppoly = PPoly.from_spline(tck)\nppoly.roots(extrapolate=False)\n",
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