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 median(
      self, skipna: Optional[bool] = None
  ) -> NumericalBaseColumn:
      skipna = True if skipna is None else skipna
  
      if self._can_return_nan(skipna=skipna):
          return cudf.utils.dtypes._get_nan_for_dtype(self.dtype)
  
      # enforce linear in case the default ever changes
      return self.quantile(
          np.array([0.5]),
          interpolation="linear",
          exact=True,
          return_scalar=True,
      )
  
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 8 for calling the NumericalBaseColumn obj's underlying member method code with example usage: obj.median(skipna) and returns: self, cudf