[{'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:lizzie_out_flag = 0;\nmons_ave = [6,7,8];     mons_ave_txt = 'JJA';\nyr1 = np.array([1901]); yr2 = np.array([1980])\nlonmin=-2; lonmax=8; latmin=43; latmax=51;\nlat1_cru = np.array([27]);   lat2_cru = np.array([71])\nlon1_cru = np.array([-12]);  lon2_cru = np.array([45])\nghd_all_names=[ 'GHDmean',\\\n'GHDcore',\\\n'Als',\\\n'Bor',\\\n'Bur',\\\n'Cha2',\\\n'Lan',\\\n'LLV',\\\n'SRv',\\\n'Swi',\\\n]\ninfile= '../data/ghd_anom_doy_v02.csv'   # Name of the original data file\ndf=pd.read_csv(infile)\nyr = np.int64(df.Year)\ninfile = '../data/site_locs.csv'   # Name of the data file\ndf_sitelocs=pd.read_csv(infile)\ndf_sitelocs.index=df_sitelocs.Location"}, {'role': 'assistant', 'content': "['load_data', 'data_exploration']"}]