code: def replace_nans_with_empty_strings(input_data: InputData):
      """
      Replace NaNs with empty strings in input_data.features
      """
      input_data.features[pd.isna(input_data.features)] = ""
  
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 3 for calling a global function with example usage: replace_nans_with_empty_strings(input_data) without return types