[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:# Combine categorical and non-categorical dataframe together\ndef filter_x_df_sm(x):\n    df = x.copy()\n    all_filter_col = []\n    \n    for keep in select_cat_col_name[select_cat_col_name.isin(keep_cols)]:\n        filter_col = [col for col in df.columns if col.startswith(str(keep))]\n        for col in filter_col : \n            if col not in keep_cols:\n                all_filter_col.append(col)\n                \n    new_df = pd.concat([df[best_X_col_name_sm],df[all_filter_col]],axis = 1)\n    return new_df'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]