[{'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:# .... contiune with Date\n\n# Plot average sales & customers for every year\nfig, (axis1,axis2) = plt.subplots(1,2,figsize=(15,4))\n\nsns.barplot(x='Year', y='Sales', data=rossmann_df, ax=axis1)\nsns.barplot(x='Year', y='Customers', data=rossmann_df, ax=axis2)\n\n# Drop Date column\n# rossmann_df.drop(['Date'], axis=1,inplace=True)\n# test_df.drop(['Date'], axis=1,inplace=True)"}, {'role': 'assistant', 'content': "['result_visualization']"}]