[{'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:#import plotly.io as pio              # to set shahin plot layout\n\nworld_df = train_data_by_country.query(\'Date == @max_train_date\')\nworld_df.loc[:,\'Date\']           = world_df.loc[:,\'Date\'].apply(str)\nworld_df.loc[:,\'Confirmed_log\']  = round(np.log10(world_df.loc[:,\'ConfirmedCases\'] + 1), 3)\nworld_df.loc[:,\'Fatalities_log\'] = np.log10(world_df.loc[:,\'Fatalities\'] + 1)\nworld_df.loc[:,\'MortalityRate\']  = round(world_df.loc[:, \'Fatalities\'] / world_df.loc[:,\'ConfirmedCases\'], 3)\nworld_df.loc[:,\'GrowthFactor\']  = round(world_df.loc[:,\'GrowthRate\'], 3)\n#display(world_df.head())\n\nfig1 = px.choropleth(world_df, locations="Country_Region", \n                    locationmode="country names",  \n                    color="Confirmed_log",                     \n                    hover_name="Country_Region",\n                    hover_data=[\'ConfirmedCases\', \'Fatalities\', \'MortalityRate\', \'GrowthFactor\'],\n                    range_color=[world_df[\'Confirmed_log\'].min(), world_df[\'Confirmed_log\'].max()], \n                    color_continuous_scale = px.colors.sequential.Plasma,\n                    title=\'COVID-19: Confirmed Cases\')\nfig1.show()\n\''}, {'role': 'assistant', 'content': "['helper_functions', 'comment_only']"}]