class_docstr: Determines if values in one list are not equal to another list.
  
  Description:
      Given a list of values X and a list of values Y, determine
      whether each value in X is not equal to each corresponding
      value in Y.
  
  Examples:
      >>> not_equal = NotEqual()
      >>> not_equal([2, 1, 2], [1, 2, 2]).tolist()
      [True, True, False]
code: def get_function(self):
      def not_equal(x_vals, y_vals):
          if isinstance(
              x_vals.dtype, pd.CategoricalDtype
          ) and isinstance(
              y_vals.dtype,
              pd.CategoricalDtype,
          ):
              categories = set(x_vals.cat.categories).union(
                  set(y_vals.cat.categories),
              )
              x_vals = x_vals.cat.add_categories(
                  categories.difference(set(x_vals.cat.categories)),
              )
              y_vals = y_vals.cat.add_categories(
                  categories.difference(set(y_vals.cat.categories)),
              )
          return x_vals.ne(y_vals)
  
      return not_equal
  
file_path: featuretools/featuretools/primitives/standard/transform/binary/not_equal.py
imports: import pandas
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import BooleanNullable
  from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
  from featuretools.utils.gen_utils import Library
label_desc: Use image node_id 1 for calling the NotEqual obj's underlying member method code with example usage: obj.get_function() and returns: not_equal, x_vals