code: def remove(self, df):
      duplicate_cols = self.check(df)
      keep = self.cfg.get("keep") or "none"
      cols_to_remove = []
      for col, dupes in duplicate_cols.items():
          if keep == "none":
              cols_to_remove += [col] + dupes
          else:
              cols_to_remove += dupes
      if not cols_to_remove:
          raise NoDuplicatesException()
      if len(cols_to_remove) == len(df.columns):
          raise RemoveAllDataException("This will remove all data!")
      df = df[[c for c in df.columns if c not in cols_to_remove]]
      code = (
          "duplicate_cols_to_remove = [\n"
          "\t'{cols}'\n"
          "]\n"
          "df = df[[c for c in df.columns if c not in duplicates_cols_to_remove]]"
      ).format(cols="','".join(cols_to_remove))
      return df, code
  
imports: import pandas
  import dtale.global_state
  from dtale.query import run_query
  from dtale.utils import dict_merge, grid_columns, grid_formatter, triple_quote
  from dtale.charts.utils import build_group_inputs_filter
label_desc: Use image node_id 3 for calling the DuplicateColumns obj's underlying member method code with example usage: obj.remove(df) and returns: df,  code