[{'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:temp = train[train[\'Country_Region\'].isin(europe)]\ntemp = temp.groupby([\'Date\', \'Country_Region\'])[\'ConfirmedCases\'].sum().reset_index()\ntemp[\'Date\'] = pd.to_datetime(temp[\'Date\']).dt.strftime(\'%m/%d/%Y\')\ntemp[\'size\'] = temp[\'ConfirmedCases\'].pow(0.3) * 3.5\n\nfig = px.scatter_geo(temp, locations="Country_Region", locationmode=\'country names\', \n                     color="ConfirmedCases", size=\'size\', hover_name="Country_Region", \n                     range_color=[1,100],scope=\'europe\',\n                     projection="natural earth", animation_frame="Date", \n                     title=\'COVID-19: Cases Over Time\', color_continuous_scale=\'Cividis_r\')\nfig.show()\''}, {'role': 'assistant', 'content': "['result_visualization']"}]