code: def inv_transform_ce_in_ct(
      x_in, init, name_encoding, col_encoding, ct_encoding
  ):
      """
      Inverse transform when using category_encoder in ColumnsTransformer preprocessing.
  
      Parameters
      ----------
      x_in : pandas.DataFrame
          Data processed.
      init : np.int
          Columns index that give the first column to look at.
      name_encoding : String
          Name of the encoding give by the user.
      col_encoding : list
          Processed features name.
      ct_encoding : category_encoder
          Type of encoding.
  
      Returns
      -------
      frame : pandas.Dataframe
          The reversed transformation for the given list of encoding.
      init : np.int
          Index of the last column use to make the transformation.
      """
      colname_output = [
          name_encoding + "_" + val for val in col_encoding
      ]
      colname_input = ct_encoding.get_feature_names_out()
      nb_col = len(colname_input)
      x_to_inverse = x_in.iloc[:, init : init + nb_col].copy()
      x_to_inverse.columns = colname_input
      frame = inv_transform_ce(x_to_inverse, ct_encoding)
      frame.columns = colname_output
      init += nb_col
      return frame, init
  
file_path: shapash/shapash/utils/columntransformer_backend.py
imports: import pandas
  import numpy
  from shapash.utils.category_encoder_backend import inv_transform_ordinal
  from shapash.utils.category_encoder_backend import inv_transform_ce
  from shapash.utils.category_encoder_backend import supported_category_encoder
  from shapash.utils.category_encoder_backend import dummies_category_encoder
  from shapash.utils.category_encoder_backend import category_encoder_binary
  from shapash.utils.category_encoder_backend import transform_ordinal, get_col_mapping_ce
  from shapash.utils.model_synoptic import simple_tree_model_sklearn, catboost_model, linear_model, svm_model, xgboost_model, lightgbm_model, dict_model_feature
  from shapash.utils.model import extract_features_model
label_desc: Use image node_id 2 for calling a global function with example usage: inv_transform_ce_in_ct(x_in, init, name_encoding, col_encoding, ct_encoding) and returns: frame,  init