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 mean(
      self,
      skipna: Optional[bool] = None,
      min_count: int = 0,
      dtype=np.float64,
  ):
      return self._reduce(
          "mean", skipna=skipna, min_count=min_count, dtype=dtype
      )
  
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 5 for calling the NumericalBaseColumn obj's underlying member method code with example usage: obj.mean(skipna, min_count, dtype) and returns: self