code: def handle_categorical_missing(df: pd.DataFrame) -> pd.DataFrame:
      """
      Replace missing values for categorical columns
  
      Parameters
      ----------
      df : pd.DataFrame
          Pandas dataframe on which we will replace the missing values
      """
      categorical_cols = df.select_dtypes(include=["object"]).columns
      df_handle_missing = df.copy()
      df_handle_missing[categorical_cols] = df_handle_missing[
          categorical_cols
      ].fillna("missing")
      return df_handle_missing
  
file_path: shapash/shapash/utils/transform.py
imports: from shapash.utils.columntransformer_backend import columntransformer, inv_transform_ct, supported_sklearn, transform_ct, get_col_mapping_ct
  from shapash.utils.category_encoder_backend import transform_ce, inv_transform_ce, supported_category_encoder, get_col_mapping_ce
  import re
  import numpy
  import pandas
label_desc: Use image node_id 9 for calling a global function with example usage: handle_categorical_missing(df) and returns: df_handle_missing