[{'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:b"# heatmapcount\\n\\n#hour season - count\\nfig = plt.figure(figsize=[12,10])\\nax1 = fig.add_subplot(2,2,1)\\nax1 = sns.pointplot(x=\'hour\',y=\'count\',hue=\'season\',data=train.groupby([\'season\',\'hour\'])[\'count\'].mean().reset_index())\\n\\n#hour holiday - count\\nax2 = fig.add_subplot(2,2,2)\\nax2 = sns.pointplot(x=\'hour\',y=\'count\',hue=\'holiday\',data=train.groupby([\'holiday\',\'hour\'])[\'count\'].mean().reset_index())\\n\\n#hour weekday - count\\nax3 = fig.add_subplot(2,2,3)\\nax3 = sns.pointplot(x=\'hour\',y=\'count\',hue=\'weekday\',hue_order=[\'Sunday\',\'Monday\',\'Tuesday\',\'Wendnesday\',\'Thursday\',\'Friday\',\'Saturday\'],data=train.groupby([\'weekday\',\'hour\'])[\'count\'].mean().reset_index())\\n\\n#hour weather - count\\nax4 = fig.add_subplot(2,2,4)\\nax4 = sns.pointplot(x=\'hour\',y=\'count\',hue=\'weather\',data=train.groupby([\'weather\',\'hour\'])[\'count\'].mean().reset_index())"'}, {'role': 'assistant', 'content': 'result_visualization'}]