code: def quantiles(self, bins, mask=NotSpecified):
          
          if mask is NotSpecified:
              mask = self.mask
          return Quantiles(inputs=(self,), bins=bins, mask=mask)
docs: Construct a Classifier computing quantiles of the output of ``self``.
  
          Every non-NaN data point the output is labelled with an integer value
          from 0 to (bins - 1).  NaNs are labelled with -1.
  
          If ``mask`` is supplied, ignore data points in locations for which
          ``mask`` produces False, and emit a label of -1 at those locations.
  
          Parameters
          ----------
          bins : int
              Number of bins labels to compute.
          mask : zipline.pipeline.Filter, optional
              Mask of values to ignore when computing quantiles.
  
          Returns
          -------
          quantiles : zipline.pipeline.classifiers.Quantiles
              A Classifier producing integer labels ranging from 0 to (bins - 1).