parameters: (self, nu=1)
return_statement: return self.construct_fast(*tck, extrapolate=extrapolate,
                                     axis=self.axis)
docstring: Return a b-spline representing the antiderivative.
  
          Parameters
          ----------
          nu : int, optional
              Antiderivative order. Default is 1.
  
          Returns
          -------
          b : BSpline object
              A new instance representing the antiderivative.
  
          Notes
          -----
          If antiderivative is computed and ``self.extrapolate='periodic'``,
          it will be set to False for the returned instance. This is done because
          the antiderivative is no longer periodic and its correct evaluation
          outside of the initially given x interval is difficult.
  
          See Also
          --------
          splder, splantider
docstring_summary: Return a b-spline representing the antiderivative.
docstring_tokens: Return a b - spline representing the antiderivative .
function: def antiderivative(self, nu=1):
          """Return a b-spline representing the antiderivative.
  
          Parameters
          ----------
          nu : int, optional
              Antiderivative order. Default is 1.
  
          Returns
          -------
          b : BSpline object
              A new instance representing the antiderivative.
  
          Notes
          -----
          If antiderivative is computed and ``self.extrapolate='periodic'``,
          it will be set to False for the returned instance. This is done because
          the antiderivative is no longer periodic and its correct evaluation
          outside of the initially given x interval is difficult.
  
          See Also
          --------
          splder, splantider
  
          """
          c = self.c
          # pad the c array if needed
          ct = len(self.t) - len(c)
          if ct > 0:
              c = np.r_[c, np.zeros((ct,) + c.shape[1:])]
          tck = _fitpack_impl.splantider((self.t, c, self.k), nu)
  
          if self.extrapolate == 'periodic':
              extrapolate = False
          else:
              extrapolate = self.extrapolate
  
          return self.construct_fast(*tck, extrapolate=extrapolate,
                                     axis=self.axis)
function_tokens: def antiderivative ( self , nu = 1 ) : c = self . c # pad the c array if needed ct = len ( self . t ) - len ( c ) if ct > 0 : c = np . r_ [ c , np . zeros ( ( ct , ) + c . shape [ 1 : ] ) ] tck = _fitpack_impl . splantider ( ( self . t , c , self . k ) , nu ) if self . extrapolate == 'periodic' : extrapolate = False else : extrapolate = self . extrapolate return self . construct_fast ( * tck , extrapolate = extrapolate , axis = self . axis )