[{'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:temp = df['unused'].value_counts().reset_index().sort_values('index')\ntemp = temp.set_index('index')\ntemp['group'] = [0,0,0,0,1,1,1,1,2,2,2]\ngroup_meals = temp.groupby('group').sum()\ngroup_meals.index = ['0-3','4-7','8-10']\nax = group_meals.plot.bar(title='Unused Meals at End of the Semester', legend=False, rot = 0, color='royalblue', figsize=(8,6))\nax.set_ylim(0,25)\nax.set_xlabel('Unused Meals')\nax.set_ylabel('Number of Students')\nfig = ax.get_figure()\nfig.savefig('unused_meals.png')"}, {'role': 'assistant', 'content': "['data_exploration']"}]