parameters: (self, n=100, domain=None)
return_statement: return x, y
docstring: Return x, y values at equally spaced points in domain.
  
          Returns the x, y values at `n` linearly spaced points across the
          domain.  Here y is the value of the polynomial at the points x. By
          default the domain is the same as that of the series instance.
          This method is intended mostly as a plotting aid.
  
          .. versionadded:: 1.5.0
  
          Parameters
          ----------
          n : int, optional
              Number of point pairs to return. The default value is 100.
          domain : {None, array_like}, optional
              If not None, the specified domain is used instead of that of
              the calling instance. It should be of the form ``[beg,end]``.
              The default is None which case the class domain is used.
  
          Returns
          -------
          x, y : ndarray
              x is equal to linspace(self.domain[0], self.domain[1], n) and
              y is the series evaluated at element of x.
docstring_summary: Return x, y values at equally spaced points in domain.
docstring_tokens: Return x y values at equally spaced points in domain .
function: def linspace(self, n=100, domain=None):
          """Return x, y values at equally spaced points in domain.
  
          Returns the x, y values at `n` linearly spaced points across the
          domain.  Here y is the value of the polynomial at the points x. By
          default the domain is the same as that of the series instance.
          This method is intended mostly as a plotting aid.
  
          .. versionadded:: 1.5.0
  
          Parameters
          ----------
          n : int, optional
              Number of point pairs to return. The default value is 100.
          domain : {None, array_like}, optional
              If not None, the specified domain is used instead of that of
              the calling instance. It should be of the form ``[beg,end]``.
              The default is None which case the class domain is used.
  
          Returns
          -------
          x, y : ndarray
              x is equal to linspace(self.domain[0], self.domain[1], n) and
              y is the series evaluated at element of x.
  
          """
          if domain is None:
              domain = self.domain
          x = np.linspace(domain[0], domain[1], n)
          y = self(x)
          return x, y
function_tokens: def linspace ( self , n = 100 , domain = None ) : if domain is None : domain = self . domain x = np . linspace ( domain [ 0 ] , domain [ 1 ] , n ) y = self ( x ) return x , y