parameters: (self, xi, yi, dx=0, dy=0)
return_statement: return self.__call__(xi, yi, dx=dx, dy=dy, grid=False)
docstring: Evaluate the spline at points
  
          Returns the interpolated value at ``(xi[i], yi[i]),
          i=0,...,len(xi)-1``.
  
          Parameters
          ----------
          xi, yi : array_like
              Input coordinates. Standard Numpy broadcasting is obeyed.
          dx : int, optional
              Order of x-derivative
  
              .. versionadded:: 0.14.0
          dy : int, optional
              Order of y-derivative
  
              .. versionadded:: 0.14.0
docstring_summary: Evaluate the spline at points
docstring_tokens: Evaluate the spline at points
function: def ev(self, xi, yi, dx=0, dy=0):
          """
          Evaluate the spline at points
  
          Returns the interpolated value at ``(xi[i], yi[i]),
          i=0,...,len(xi)-1``.
  
          Parameters
          ----------
          xi, yi : array_like
              Input coordinates. Standard Numpy broadcasting is obeyed.
          dx : int, optional
              Order of x-derivative
  
              .. versionadded:: 0.14.0
          dy : int, optional
              Order of y-derivative
  
              .. versionadded:: 0.14.0
          """
          return self.__call__(xi, yi, dx=dx, dy=dy, grid=False)
function_tokens: def ev ( self , xi , yi , dx = 0 , dy = 0 ) : return self . __call__ ( xi , yi , dx = dx , dy = dy , grid = False )