[{'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:new_df=pd.read_csv('../input/test.csv')\ntest_df=pd.read_csv('../input/test.csv')\n\nnew_df['datetime']=new_df['datetime'].apply(lambda x:datetime.strptime(x,'%Y-%m-%d %H:%M:%S'))\n\nnew_df['month']=new_df['datetime'].apply(lambda x:x.month)\nnew_df['hour']=new_df['datetime'].apply(lambda x:x.hour)\n\nweather_df=pd.get_dummies(new_df['weather'],prefix='w',drop_first=True)\nmonth_df=pd.get_dummies(new_df['month'],prefix='m',drop_first=True)\nhour_df=pd.get_dummies(new_df['hour'],prefix='h',drop_first=True)\nseason_df=pd.get_dummies(new_df['season'],prefix='s',drop_first=True)\n\n\nnew_df=new_df.join(weather_df)\nnew_df=new_df.join(month_df)                     \nnew_df=new_df.join(hour_df)\nnew_df=new_df.join(season_df)\n\nnew_df=new_df.drop(['datetime', 'holiday', 'workingday', 'atemp', 'windspeed'], axis=1)\nnew_df.head()\n                     "}, {'role': 'assistant', 'content': 'load_data'}]