code: def pre_process(sensor_data):
      if "Accelerometer" in sensor_data:
          sensor_data["Accelerometer"].iloc[:, 1] = (
              sensor_data["Accelerometer"].iloc[:, 1] * 10
          )
      return sensor_data
  
file_path: tsfel/tests/test_calc_features.py
imports: import os
  import json
  import glob
  import pandas
  from pathlib import Path
  from tsfel.feature_extraction.features_settings import get_features_by_domain, get_features_by_tag
  from tsfel.feature_extraction.calc_features import time_series_features_extractor, dataset_features_extractor
  from tsfel.utils.signal_processing import merge_time_series, signal_window_splitter
  from tsfel.utils.add_personal_features import add_feature_json
label_desc: Use image node_id 1 for calling a global function with example usage: pre_process(sensor_data) and returns: sensor_data