[{'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:def draw_distplot(df, name, fig, m, n, idx):\n    ax = fig.add_subplot(m, n, idx)\n    ax = sns.distplot(df[name])\n\ndef draw_distplots(df, columns):\n    M = round(len(columns)/2)\n    N = 2\n    fig = plt.figure(figsize=[N*10, M*6])\n    for idx, name in enumerate(columns):\n        draw_distplot(df=df, name=name, fig=fig, m=M, n=N, idx=idx+1)\n        \ndraw_distplots(df=original_train, columns=feature_columns)'}, {'role': 'assistant', 'content': "['result_visualization']"}]