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 round(
      self, decimals: int = 0, how: str = "half_even"
  ) -> NumericalBaseColumn:
      if not cudf.api.types.is_integer(decimals):
          raise TypeError("Values in decimals must be integers")
      """Round the values in the Column to the given number of decimals."""
      return libcudf.round.round(self, decimal_places=decimals, how=how)
  
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 12 for calling the NumericalBaseColumn obj's underlying member method code with example usage: obj.round(decimals, how) and returns: libcudf