code: def label_encode(
      df: pd.DataFrame,
      column_names: Union[str, Iterable[str], Hashable],
  ) -> pd.DataFrame:
      """Convert labels into numerical data.
  
      This method will create a new column with the string `_enc` appended
      after the original column's name.
      Consider this to be syntactic sugar.
      This function uses the `factorize` pandas function under the hood.
  
      This method behaves differently from
      [`encode_categorical`][janitor.functions.encode_categorical.encode_categorical].
      This method creates a new column of numeric data.
      [`encode_categorical`][janitor.functions.encode_categorical.encode_categorical]
      replaces the dtype of the original column with a *categorical* dtype.
  
      This method mutates the original DataFrame.
  
      !!!note
  
          This function will be deprecated in a 1.x release.
          Please use [`factorize_columns`][janitor.functions.factorize_columns.factorize_columns]
          instead.
  
      Examples:
          >>> import pandas as pd
          >>> import janitor
          >>> df = pd.DataFrame({
          ...     "foo": ["b", "b", "a", "c", "b"],
          ...     "bar": range(4, 9),
          ... })
          >>> df
            foo  bar
          0   b    4
          1   b    5
          2   a    6
          3   c    7
          4   b    8
          >>> df.label_encode(column_names="foo")
            foo  bar  foo_enc
          0   b    4        0
          1   b    5        0
          2   a    6        1
          3   c    7        2
          4   b    8        0
  
      Args:
          df: The pandas DataFrame object.
          column_names: A column name or an iterable (list
              or tuple) of column names.
  
      Returns:
          A pandas DataFrame.
      """  # noqa: E501
      warnings.warn(
          "`label_encode` will be deprecated in a 1.x release. "
          "Please use `factorize_columns` instead."
      )
      df = _factorize(df, column_names, "_enc")
      return df
  
imports: import warnings
  from typing import Hashable, Iterable, Union
  import pandas
  import pandas_flavor
  from janitor.functions.utils import _factorize
  from janitor.utils import deprecated_alias
label_desc: Use image node_id 1 for calling a global function with example usage: label_encode(df, column_names) and returns: df