code: def convert_into_column(array: np.ndarray) -> np.ndarray:
      """Perform conversion for data if it is necessary"""
      if len(array.shape) == 1:
          return array.reshape(-1, 1)
      return array
  
file_path: FEDOT/fedot/core/data/data_preprocessing.py
imports: from typing import Optional, Tuple
  import numpy
  import pandas
  from fedot.core.data.data import InputData, data_type_is_multi_ts, data_type_is_table, data_type_is_ts
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.preprocessing.data_types import TYPE_TO_ID
label_desc: Use image node_id 4 for calling a global function with example usage: convert_into_column(array) and returns: array, array