[{'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:# plot global cases and fatalities temporally\nglobal_cases = train_data.groupby(['Date'])[['ConfirmedCases','Fatalities']].sum()\n\nfig,ax = plt.subplots(figsize=(8,5))\n_=ax.plot(global_cases['ConfirmedCases'],label='Cases',c='k')\n_=ax.plot(global_cases['Fatalities'],label='Deaths',c='r')\n_=ax.xaxis.set_tick_params(rotation=15)\n_=sns.despine()\n_=ax.legend(loc=0)\n_=ax.set(title=('Global cumulative cases and deaths'))"}, {'role': 'assistant', 'content': "['result_visualization']"}]