[{'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:hist, edges = np.histogram(list(map(lambda x:x[1], pos_neg_ratios.most_common())), density=True, bins=100, normed=True)\np = figure(tools="pan, wheel_zoom, reset, save",\ntoolbar_location="above",\ntitle="Word Positive/Negative Affinity Distribution")\np.quad(top=hist, bottom=0, left=edges[:-1], right=edges[1:], line_color="#555555")\nshow(p)'}, {'role': 'assistant', 'content': 'data_exploration'}]