{"cells":[{"metadata":{"trusted":true},"cell_type":"code","source":"import feather\nimport pandas as pd","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"train = pd.read_csv(\"../input/riiid-test-answer-prediction/train.csv\", dtype={\n    \"row_id\": \"int64\",\n    \"timestamp\": \"int64\",\n    \"user_id\": \"int32\",\n    \"content_id\": \"int16\",\n    \"content_type_id\": \"boolean\",\n    \"task_container_id\": \"int16\",\n    \"user_answer\": \"int8\",\n    \"answered_correctly\": \"int8\",\n    \"prior_question_elapsed_time\": \"float32\"\n})\ntrain[\"prior_question_had_explanation\"] = train[\"prior_question_had_explanation\"].astype(\"boolean\")\ntrain.to_feather(\"train.feather\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train.info()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train.memory_usage(deep=True)","execution_count":null,"outputs":[]}],"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":4,"nbformat_minor":4}