{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import pandas as pd, numpy as np\ndtypes = {\"session_id\": 'int64',\n          \"index\": np.int16,\n          \"elapsed_time\": np.int32,\n          \"event_name\": 'category',\n          \"name\": 'category',\n          \"level\": np.int8,\n          \"page\": np.float16,\n          \"room_coor_x\": np.float16,\n          \"room_coor_y\": np.float16,\n          \"screen_coor_x\": np.float16,\n          \"screen_coor_y\": np.float16,\n          \"hover_duration\": np.float32,\n          \"text\": 'category',\n          \"fqid\": 'category',\n          \"room_fqid\": 'category',\n          \"text_fqid\": 'category',\n          \"fullscreen\": np.int8,\n          \"hq\": np.int8,\n          \"music\": np.int8,\n          \"level_group\": 'category'\n          }\n# Specify the list of columns you are using\nuse_col = ['session_id', 'index', 'elapsed_time', 'event_name', 'name', 'level', 'page', 'room_coor_x', 'room_coor_y', \n           'screen_coor_x', 'screen_coor_y', 'hover_duration', 'text', 'fqid', 'room_fqid', 'text_fqid', 'level_group']\ndf = pd.read_csv('/kaggle/input/predict-student-performance-from-game-play/train.csv', dtype=dtypes, usecols=use_col)\nmem_usg = df.memory_usage().sum() / 1024 ** 2\nprint(\"Memory usage became: \", mem_usg, \" MB\")","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-03-26T06:18:14.249343Z","iopub.execute_input":"2023-03-26T06:18:14.251108Z","iopub.status.idle":"2023-03-26T06:19:44.616556Z","shell.execute_reply.started":"2023-03-26T06:18:14.251036Z","shell.execute_reply":"2023-03-26T06:19:44.614981Z"},"trusted":true},"execution_count":null,"outputs":[]}]}