[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:fig, (ax1, ax2, ax3, ax4, ax5) = plt.subplots(nrows = 5)\nfig.set_size_inches(18,25)\n\nsns.pointplot(data = df_train, x = "hour", y = "count", ax = ax1)\nsns.pointplot(data = df_train, x = "hour", y = "count", hue = "workingday", ax = ax2)\nsns.pointplot(data = df_train, x = "hour", y = "count", hue = "dayofweek", ax = ax3)\nsns.pointplot(data = df_train, x = "hour", y = "count", hue = "weather", ax = ax4)\nsns.pointplot(data = df_train, x = "hour", y = "count", hue = "season",  ax = ax5)\n\n#    pointplot .\n#  plot     .\n#  plot     ,      . \n#  plot    plot  ,   ,     .\n#  plot       ,   ,      .      .\n#  plot   ,        .'}, {'role': 'assistant', 'content': 'result_visualization'}]