class_docstr: Class for detecting text data during its import.
class_docstr_tok: ["Class","for","detecting","text","data","during","its","import","."]
docstr: Prepares MultiModal text data in a form of dictionary
  
  :param dataframe: pandas DataFrame to process
  :param columns: list of text columns' names
  
  :return multimodal_text_data: dictionary with numpy arrays of text data
docstr_tok: ["Prepares","MultiModal","text","data","in","a","form","of","dictionary",":","param","dataframe",":","pandas","DataFrame","to","process",":","param","columns",":","list","of","text","columns","'","names",":","return","multimodal_text_data",":","dictionary","with","numpy","arrays","of","text","data"]
code: def prepare_multimodal_data(
      dataframe: pd.DataFrame, columns: List[str]
  ) -> dict:
      """Prepares MultiModal text data in a form of dictionary
  
      :param dataframe: pandas DataFrame to process
      :param columns: list of text columns' names
  
      :return multimodal_text_data: dictionary with numpy arrays of text data
      """
      multi_modal_text_data = {}
  
      for column_name in columns:
          text_feature = np.array(dataframe[column_name])
          multi_modal_text_data.update({column_name: text_feature})
  
      return multi_modal_text_data
  
imports: from abc import abstractmethod
  from typing import List
  import numpy
  import pandas
  from fedot.core.constants import FRACTION_OF_UNIQUE_VALUES
  from fedot.utilities.custom_errors import AbstractMethodNotImplementError
label_desc: Use image node_id 3 for calling the TextDataDetector obj's underlying member method code with example usage: obj.prepare_multimodal_data(dataframe, columns) and returns: multi_modal_text_data