[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:print('All the climate data is now loaded, and averaged to create the seasonal average/sums.')\nprint('They should be arrayed as: yr x lat x lon ')\nprint('')\nprint('Yrs: '+np.str(np.min(yr_cru))+'-'+np.str(np.max(yr_cru)))\nprint('Lat: '+np.str(np.min(lat_map))+' to '+np.str(np.max(lat_map)))\nprint('Lon: '+np.str(np.min(lon_map))+' to '+np.str(np.max(lon_map)))\nprint('')\nprint('Temp Array Size: '+np.str(tmp_seas_ave.shape))\nprint('Prec Array Size: '+np.str(pre_seas_sum.shape))\nprint('PDSI Array Size: '+np.str(pdsi_seas.shape))"}, {'role': 'assistant', 'content': 'data_exploration'}]