[{'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:labels = [\'2000\',\'2001\',\'2002\',\'2003\',\'2004\',\'2005\',\'2006\',\'2007\',\'2008\',\'2009\',\'2010\']\nc_by_year = df_c.pivot_table(index=[\'Country\'], columns=[\'Year\'],values=[\'Commitments\'], aggfunc = sum)\nc_by_year.plot(kind=\'box\', return_type=\'axes\', rot=30, figsize=(10,5))\npyplot.title ("Commitment Distribution by Year")\npyplot.ylabel("Commitment - US Million")\npyplot.xticks([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], labels)'}, {'role': 'assistant', 'content': "['data_exploration']"}]