[{'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:# view countrywise ConfirmedCases and Fatalities in a plot\nfig,ax = plt.subplots()\nfig.set_figheight(10)\nfig.set_figwidth(40)\nax.plot(df_xtrain[:29].index.values,df_xtrain[:29].ConfirmedCases, color="red", marker="o")\nax.set_xlabel("Countries",fontsize=24)\nax.set_ylabel("Confirmed Cases",color="red",fontsize=24)\nax.tick_params(axis = \'both\', which = \'major\', labelsize = 24,labelrotation=90)\nax2=ax.twinx()\nax2.plot(df_xtrain[:29].index.values,df_xtrain[:29].Fatalities,color="blue",marker="o")\nax2.set_ylabel("Fatalities",color="blue",fontsize=24)\nax2.tick_params(axis = \'both\', which = \'major\', labelsize = 24)\nplt.show()\''}, {'role': 'assistant', 'content': "['result_visualization']"}]