docs: def __reversed_filter(filterable, filter_, logic_operation='and'):
          """ reverse filtering DataFrame using filter_ key-value conditions applying logic_operation
          find rows where existing filterable columns (and its values) fitting the filter_ criterion"""
          condition = []
          try:
              subscribers_for_any = filterable.query('type == "__ANY__"')
          except pd.core.computation.ops.UndefinedVariableError:
              subscribers_for_any = pd.DataFrame()
          if not filter_:
              return filterable
          else:
              for existing_col in filterable:
                  for meta_tag, meta_value in filter_.items():
                      if meta_tag == existing_col:
                          condition.append('{key} == "{value}"'.format(key=meta_tag, value=meta_value))
              try:
                  res = filterable.query(" {operation} ".format(operation=logic_operation).join(condition))
              except pd.core.computation.ops.UndefinedVariableError:
                  return pd.DataFrame().append(subscribers_for_any)
              else:
                  return res.append(subscribers_for_any)