code: def add_col_rescaled(self, df):
      df_describe = df.describe()
  
      # let's find numeric and categorical columns
      column = get_cols()
      numeric_columns, categorical_columns = column.get_cate_numer_col(
          df
      )
  
      for nc in numeric_columns:
          # get min and max
          mini, maxi = self.get_min_max(df_describe, nc)
  
          df[nc + "_rescaled"] = (df[nc] - mini) / (maxi - mini) * 10
  
      for cc in categorical_columns:
          df[cc + "_rescaled"] = 0
  
      return df
  
file_path: explainx/lib/rescale_numeric_feature.py
imports: from imports import *
label_desc: Use image node_id 3 for calling the rescale_numeric_features obj's underlying member method code with example usage: obj.add_col_rescaled(df) and returns: df