code: def remove_columns(
      df: pd.DataFrame,
      column_names: Union[str, Iterable[str], Hashable],
  ) -> pd.DataFrame:
      """Remove the set of columns specified in `column_names`.
  
      This method does not mutate the original DataFrame.
  
      Intended to be the method-chaining alternative to `del df[col]`.
  
      !!!note
  
          This function will be deprecated in a 1.x release.
          Kindly use `pd.DataFrame.drop` instead.
  
      Examples:
          >>> import pandas as pd
          >>> import janitor
          >>> df = pd.DataFrame({"a": [2, 4, 6], "b": [1, 3, 5], "c": [7, 8, 9]})
          >>> df
             a  b  c
          0  2  1  7
          1  4  3  8
          2  6  5  9
          >>> df.remove_columns(column_names=['a', 'c'])
             b
          0  1
          1  3
          2  5
  
      Args:
          df: A pandas DataFrame.
          column_names: The columns to remove.
  
      Returns:
          A pandas DataFrame.
      """
  
      return df.drop(columns=column_names)
  
imports: from typing import Hashable, Iterable, Union
  import pandas
  import pandas_flavor
  from janitor.utils import deprecated_alias, refactored_function
label_desc: Use image node_id 1 for calling a global function with example usage: remove_columns(df, column_names) and returns: df