[{'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:f, a = plt.subplots(3, 5, figsize=(15, 10))\na = a.flatten()\npy = list(itertools.product(['pe', 'pb', 'dividend_yield'], ['ay1', 'ay2', 'ay3', 'ay5', 'ay10']))\nprint(py)\nfor ax, py in zip(a, py):\nprint(ax, py)\np, y = py\nax = df.plot(kind='scatter', x = p, y = y, ax = ax)\nax.axhline(0, color='k')\nax.axhline(0.075, color='g')\nax.axvline(df[p].median(), color='r')\nax.axvline(df[p][-1], color='k', linestyle='--')"}, {'role': 'assistant', 'content': 'data_exploration'}]