class_docstr: A column composed of numerical data.
  
  This class encodes a standard interface for different types of columns
  containing numerical types of data. In particular, mathematical operations
  that make sense whether a column is integral or real, fixed or floating
  point, should be encoded here.
code: def _numeric_quantile(
      self, q: np.ndarray, interpolation: str, exact: bool
  ) -> NumericalBaseColumn:
      # get sorted indices and exclude nulls
      indices = libcudf.sort.order_by(
          [self], [True], "first", stable=True
      ).slice(self.null_count, len(self))
  
      return libcudf.quantiles.quantile(
          self, q, interpolation, indices, exact
      )
  
imports: from __future__ import annotations
  from typing import Optional, cast
  import numpy
  import cudf
  from cudf import _lib
  from cudf._typing import ScalarLike
  from cudf.core.column import ColumnBase
  from cudf.core.missing import NA
  from cudf.core.mixins import Scannable
label_desc: Use image node_id 9 for calling the NumericalBaseColumn obj's underlying member method code with example usage: obj._numeric_quantile(q, interpolation, exact) and returns: libcudf