[{'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:for id_index in [30,31,32]:\nerrors=dat.error_set.where(dat.error_set['loc_id'] == dat.site_info['ID'][id_index]).dropna().resample(\n'5T').interpolate(method='linear')[GLE2_begin:GLE2_end]\nwx = dat.wx_set.where(dat.wx_set['loc_id'] == dat.site_info['ID'][id_index]).dropna()\nwx = wx.reset_index().drop_duplicates(subset='DateUTC', keep='first').set_index('DateUTC')\nwx = wx[wx.MeanSeaLevelPressureIn > 20] # filtering unphysical pressures\nwx = wx.resample('5T').interpolate(method='linear')[GLE2_begin:GLE2_end]\ngoes=dat.goes_set.resample('5T').interpolate(method='linear')[GLE2_begin:GLE2_end]\nnmdb=dat.nmdb_set.resample('5T').interpolate(method='linear')[GLE2_begin:GLE2_end]\natm_corr=(np.exp(((wx[['MeanSeaLevelPressureIn']]*InHg)-sealev)/lambda0)).rename(index=str, columns={'MeanSeaLevelPressureIn':'MeanCorrection'})\natm_corr.index=pd.to_datetime(atm_corr.index,utc=True)\nerror_corr=atm_corr['MeanCorrection']*errors['rate']\nfig, ax = plt.subplots(1)\nylow, yhigh = ax.set_ylim([0,np.max(error_corr)])\nplt.plot(atm_corr.index, error_corr)\nax.fill_betweenx([ylow,yhigh], GLE2[0],GLE2[1], facecolor='yellow', alpha=0.5, label='GLE 2')\nax.set_xlabel('Date')\nax.set_ylabel('Error Rate (errors/Gb)')\nax.set_title('{0} {1} {2}'.format('Error Rate',dat.site_info['Site'][id_index],dat.site_info['ID'][id_index]))\nax.legend(loc='lower right')\nfig.autofmt_xdate()\nplt.tight_layout()\nplt.savefig('{0}{1}{2}{3}'.format('/Users/mskirk/Desktop/GooglePlots/GLE2_',dat.site_info['Site'][id_index],dat.site_info['ID'][id_index],'.png'), dpi=200)"}, {'role': 'assistant', 'content': "['data_exploration']"}]