parameters: (x, range)
return_statement: return _ptp(x) / np.sqrt(x.size)
docstring: Square root histogram bin estimator.
  
      Bin width is inversely proportional to the data size. Used by many
      programs for its simplicity.
  
      Parameters
      ----------
      x : array_like
          Input data that is to be histogrammed, trimmed to range. May not
          be empty.
  
      Returns
      -------
      h : An estimate of the optimal bin width for the given data.
docstring_summary: Square root histogram bin estimator.
docstring_tokens: Square root histogram bin estimator .
function: def _hist_bin_sqrt(x, range):
      """
      Square root histogram bin estimator.
  
      Bin width is inversely proportional to the data size. Used by many
      programs for its simplicity.
  
      Parameters
      ----------
      x : array_like
          Input data that is to be histogrammed, trimmed to range. May not
          be empty.
  
      Returns
      -------
      h : An estimate of the optimal bin width for the given data.
      """
      del range  # unused
      return _ptp(x) / np.sqrt(x.size)
function_tokens: def _hist_bin_sqrt ( x , range ) : del range # unused return _ptp ( x ) / np . sqrt ( x . size )