parameters: (self, x, nu=0, ext=None)
return_statement: return fitpack.splev(x, self._eval_args, der=nu, ext=ext)
docstring: Evaluate spline (or its nu-th derivative) at positions x.
  
          Parameters
          ----------
          x : array_like
              A 1-D array of points at which to return the value of the smoothed
              spline or its derivatives. Note: x can be unordered but the
              evaluation is more efficient if x is (partially) ordered.
          nu  : int
              The order of derivative of the spline to compute.
          ext : int
              Controls the value returned for elements of ``x`` not in the
              interval defined by the knot sequence.
  
              * if ext=0 or 'extrapolate', return the extrapolated value.
              * if ext=1 or 'zeros', return 0
              * if ext=2 or 'raise', raise a ValueError
              * if ext=3 or 'const', return the boundary value.
  
              The default value is 0, passed from the initialization of
              UnivariateSpline.
docstring_summary: Evaluate spline (or its nu-th derivative) at positions x.
docstring_tokens: Evaluate spline ( or its nu - th derivative ) at positions x .
function: def __call__(self, x, nu=0, ext=None):
          """
          Evaluate spline (or its nu-th derivative) at positions x.
  
          Parameters
          ----------
          x : array_like
              A 1-D array of points at which to return the value of the smoothed
              spline or its derivatives. Note: x can be unordered but the
              evaluation is more efficient if x is (partially) ordered.
          nu  : int
              The order of derivative of the spline to compute.
          ext : int
              Controls the value returned for elements of ``x`` not in the
              interval defined by the knot sequence.
  
              * if ext=0 or 'extrapolate', return the extrapolated value.
              * if ext=1 or 'zeros', return 0
              * if ext=2 or 'raise', raise a ValueError
              * if ext=3 or 'const', return the boundary value.
  
              The default value is 0, passed from the initialization of
              UnivariateSpline.
  
          """
          x = np.asarray(x)
          # empty input yields empty output
          if x.size == 0:
              return array([])
  #        if nu is None:
  #            return dfitpack.splev(*(self._eval_args+(x,)))
  #        return dfitpack.splder(nu=nu,*(self._eval_args+(x,)))
          if ext is None:
              ext = self.ext
          else:
              try:
                  ext = _extrap_modes[ext]
              except KeyError:
                  raise ValueError("Unknown extrapolation mode %s." % ext)
          return fitpack.splev(x, self._eval_args, der=nu, ext=ext)
function_tokens: def __call__ ( self , x , nu = 0 , ext = None ) : x = np . asarray ( x ) # empty input yields empty output if x . size == 0 : return array ( [ ] ) #        if nu is None: #            return dfitpack.splev(*(self._eval_args+(x,))) #        return dfitpack.splder(nu=nu,*(self._eval_args+(x,))) if ext is None : ext = self . ext else : try : ext = _extrap_modes [ ext ] except KeyError : raise ValueError ( "Unknown extrapolation mode %s." % ext ) return fitpack . splev ( x , self . _eval_args , der = nu , ext = ext )