parameters: (a, axis=0)
return_statement: return a.std(axis)/a.mean(axis)
docstring: Computes the coefficient of variation, the ratio of the biased standard
      deviation to the mean.
  
      Parameters
      ----------
      a : array_like
          Input array.
      axis : int or None, optional
          Axis along which to calculate the coefficient of variation. Default
          is 0. If None, compute over the whole array `a`.
  
      Returns
      -------
      variation : ndarray
          The calculated variation along the requested axis.
  
      Notes
      -----
      For more details about `variation`, see `stats.variation`.
docstring_summary: Computes the coefficient of variation, the ratio of the biased standard
      deviation to the mean.
docstring_tokens: Computes the coefficient of variation the ratio of the biased standard deviation to the mean .
function: def variation(a, axis=0):
      """
      Computes the coefficient of variation, the ratio of the biased standard
      deviation to the mean.
  
      Parameters
      ----------
      a : array_like
          Input array.
      axis : int or None, optional
          Axis along which to calculate the coefficient of variation. Default
          is 0. If None, compute over the whole array `a`.
  
      Returns
      -------
      variation : ndarray
          The calculated variation along the requested axis.
  
      Notes
      -----
      For more details about `variation`, see `stats.variation`.
  
      """
      a, axis = _chk_asarray(a, axis)
      return a.std(axis)/a.mean(axis)
function_tokens: def variation ( a , axis = 0 ) : a , axis = _chk_asarray ( a , axis ) return a . std ( axis ) / a . mean ( axis )