[{'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 matplotlib.cm as cm\nres=np.where((df_user.Searched_Sum>0) & (df_user.MessageSent_Sum==0) & (df_user.Booked_Sum==0),\'k\',\'b\')\nfig = plt.figure()\nax1 = fig.add_subplot(111)\nax1.scatter(df_user.No_Of_Times_Online_Count,df_user.Avg_Minutes_Online, s=400, c=res, cmap=\'RdPu\', marker="s", label=\'Searched Only\' )\nplt.xlabel(\'Avg Minutes Online\')\nplt.ylabel(\'No of times\')\nplt.title(\'Booking Trend AirBnb\')\nplt.legend(loc=\'upper right\');\nplt.show()'}, {'role': 'assistant', 'content': "['data_exploration']"}]