code: def _handle_missing_values(
      dataset, feature_column_name, variable_name="dataset"
  ):
      if any(feat is None for feat in dataset[feature_column_name]):
          raise ToolkitError(
              "Missing value (None) encountered in column "
              + str(feature_column_name)
              + " in the "
              + variable_name
              + ". Use the SFrame's dropna function to drop rows with 'None' values in them."
          )
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from ..data_structures.sframe import SArray
  from ..data_structures.sframe import SFrame
  from ..data_structures.sgraph import SGraph
  from ..data_structures.sgraph import Vertex
  from ..data_structures.sgraph import Edge
  from .._cython.cy_sarray import UnitySArrayProxy
  from .._cython.cy_sframe import UnitySFrameProxy
  from .._cython.cy_graph import UnityGraphProxy
  from ..toolkits._main import ToolkitError
  import json
  import six
label_desc: Use image node_id 26 for calling a global function with example usage: _handle_missing_values(dataset, feature_column_name, variable_name) without return types