code: def quantile_for_single_value(self, **kwargs):
          
          if self._is_transposed:
              kwargs["axis"] = kwargs.get("axis", 0) ^ 1
              return self.transpose().quantile_for_single_value(**kwargs)
          axis = kwargs.get("axis", 0)
          q = kwargs.get("q", 0.5)
          assert type(q) is float
  
          def quantile_builder(df, **kwargs):
              try:
                  return pandas.DataFrame.quantile(df, **kwargs)
              except ValueError:
                  return pandas.Series()
  
          func = self._build_mapreduce_func(quantile_builder, **kwargs)
          result = self._full_axis_reduce(axis, func)
          if axis == 0:
              result.index = [q]
          else:
              result.columns = [q]
          return result
docs: Returns quantile of each column or row.
  
          Returns:
              A new QueryCompiler object containing the quantile of each column or row.