[{'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:#WeekDay & Hour:\nweek_hour=train2.groupby(['weekday_name','hour'])['count'].mean().unstack()\nweek_hour=week_hour.reindex(index=['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday'])\n\n\nplt.figure(figsize=(15,6))\ncmap2 = sns.cubehelix_palette(start=2,light=1, as_cmap=True)\n\nsns.heatmap(week_hour,cmap=cmap2).set_title('Demand by Day-Hour')"}, {'role': 'assistant', 'content': "['result_visualization']"}]