{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":59093,"databundleVersionId":7469972,"sourceType":"competition"}],"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-03-18T05:29:21.39106Z","iopub.execute_input":"2024-03-18T05:29:21.391444Z","iopub.status.idle":"2024-03-18T05:29:41.438711Z","shell.execute_reply.started":"2024-03-18T05:29:21.391406Z","shell.execute_reply":"2024-03-18T05:29:41.437754Z"},"collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import pandas as pd\nimport pyarrow.parquet as pq\n\npd.set_option(\"display.max_seq_items\", None)\n\ntest_eegs_path = \"/kaggle/input/hms-harmful-brain-activity-classification/test_eegs/3911565283.parquet\"\ntest_spectrograms_path = \"/kaggle/input/hms-harmful-brain-activity-classification/test_spectrograms/853520.parquet\"\n\neeg = pq.read_table(test_eegs_path)\ndf_eeg = eeg.to_pandas()\nprint(df_eeg.shape, df_eeg, df_eeg.columns)\n\nspec = pq.read_table(test_spectrograms_path)\ndf_spec = spec.to_pandas()\nprint(df_spec.shape, df_spec, df_spec.columns)","metadata":{"execution":{"iopub.status.busy":"2024-03-24T14:08:34.132377Z","iopub.execute_input":"2024-03-24T14:08:34.133449Z","iopub.status.idle":"2024-03-24T14:08:34.345465Z","shell.execute_reply.started":"2024-03-24T14:08:34.133404Z","shell.execute_reply":"2024-03-24T14:08:34.344509Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import pandas as pd\n\ntrain_csv_path = \"/kaggle/input/hms-harmful-brain-activity-classification/train.csv\"\ndf = pd.read_csv(train_csv_path)\n\nprint(df)","metadata":{"execution":{"iopub.status.busy":"2024-03-24T14:15:19.785467Z","iopub.execute_input":"2024-03-24T14:15:19.785836Z","iopub.status.idle":"2024-03-24T14:15:21.029924Z","shell.execute_reply.started":"2024-03-24T14:15:19.785804Z","shell.execute_reply":"2024-03-24T14:15:21.028973Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import pandas as pd\n\ntest_csv_path = \"/kaggle/input/hms-harmful-brain-activity-classification/test.csv\"\ndf = pd.read_csv(test_csv_path)\n\nprint(df)","metadata":{"execution":{"iopub.status.busy":"2024-03-26T00:40:08.537134Z","iopub.execute_input":"2024-03-26T00:40:08.537414Z","iopub.status.idle":"2024-03-26T00:40:09.66624Z","shell.execute_reply.started":"2024-03-26T00:40:08.537389Z","shell.execute_reply":"2024-03-26T00:40:09.665236Z"},"trusted":true},"execution_count":null,"outputs":[]}]}