{"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 os\n#for dirname, _, filenames in os.walk('/kaggle/input'):\n#    for filename in filenames:\n#        print(os.path.join(dirname, filename))","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Import the libraries","metadata":{}},{"cell_type":"code","source":"import pandas as pd\nimport seaborn as sns\nimport numpy as np\nimport matplotlib.pyplot as plt\nplt.style.use('ggplot')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:12.837064Z","iopub.execute_input":"2023-05-14T13:19:12.837450Z","iopub.status.idle":"2023-05-14T13:19:12.844137Z","shell.execute_reply.started":"2023-05-14T13:19:12.837416Z","shell.execute_reply":"2023-05-14T13:19:12.842894Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Import data ","metadata":{}},{"cell_type":"code","source":"test_defog = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/test/defog/02ab235146.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:12.845621Z","iopub.execute_input":"2023-05-14T13:19:12.845978Z","iopub.status.idle":"2023-05-14T13:19:13.096512Z","shell.execute_reply.started":"2023-05-14T13:19:12.845949Z","shell.execute_reply":"2023-05-14T13:19:13.095349Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_tdcsfog = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/test/tdcsfog/003f117e14.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.097874Z","iopub.execute_input":"2023-05-14T13:19:13.098549Z","iopub.status.idle":"2023-05-14T13:19:13.112759Z","shell.execute_reply.started":"2023-05-14T13:19:13.098514Z","shell.execute_reply":"2023-05-14T13:19:13.111433Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"defog_meta_data = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/defog_metadata.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.114186Z","iopub.execute_input":"2023-05-14T13:19:13.114590Z","iopub.status.idle":"2023-05-14T13:19:13.123411Z","shell.execute_reply.started":"2023-05-14T13:19:13.114558Z","shell.execute_reply":"2023-05-14T13:19:13.122357Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"tdcsfog_meta_data = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/tdcsfog_metadata.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.124531Z","iopub.execute_input":"2023-05-14T13:19:13.125616Z","iopub.status.idle":"2023-05-14T13:19:13.138204Z","shell.execute_reply.started":"2023-05-14T13:19:13.125579Z","shell.execute_reply":"2023-05-14T13:19:13.137123Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Первый взгляд на данные","metadata":{}},{"cell_type":"markdown","source":"## test/tdcsfog | test/defog","metadata":{}},{"cell_type":"markdown","source":"В таблице **test/tdcsfog** и **test/defog** содержит одинаковые столбцы:  \n- AccV - ускорение от вертикального датчика (перемещение вверх-вниз)\n- AccML - ускорение от датчика в плоскости медиально-латеральной оси (перемещение влево-вправо)\n- AccAP - ускорение от датчика в плоскости антериор-постериорной оси (перемещение вперед-назад)","metadata":{"execution":{"iopub.status.busy":"2023-05-11T13:50:48.897250Z","iopub.execute_input":"2023-05-11T13:50:48.897882Z","iopub.status.idle":"2023-05-11T13:50:48.905586Z","shell.execute_reply.started":"2023-05-11T13:50:48.897844Z","shell.execute_reply":"2023-05-11T13:50:48.904038Z"}}},{"cell_type":"code","source":"test_defog.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.140138Z","iopub.execute_input":"2023-05-14T13:19:13.140958Z","iopub.status.idle":"2023-05-14T13:19:13.156838Z","shell.execute_reply.started":"2023-05-14T13:19:13.140917Z","shell.execute_reply":"2023-05-14T13:19:13.155421Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_tdcsfog.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.158384Z","iopub.execute_input":"2023-05-14T13:19:13.159550Z","iopub.status.idle":"2023-05-14T13:19:13.176108Z","shell.execute_reply.started":"2023-05-14T13:19:13.159509Z","shell.execute_reply":"2023-05-14T13:19:13.174823Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## TdcsFog/DeFog_metadata","metadata":{}},{"cell_type":"markdown","source":"Данные в таблице **meta_datadata** содержат связь между данными в файлах \"объекта исследования\" и уникальным идентификатором пациента(Subject).","metadata":{"execution":{"iopub.status.busy":"2023-05-11T12:17:11.516914Z","iopub.execute_input":"2023-05-11T12:17:11.517325Z","iopub.status.idle":"2023-05-11T12:17:11.525176Z","shell.execute_reply.started":"2023-05-11T12:17:11.517292Z","shell.execute_reply":"2023-05-11T12:17:11.523440Z"}}},{"cell_type":"code","source":"defog_meta_data.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.177864Z","iopub.execute_input":"2023-05-14T13:19:13.178885Z","iopub.status.idle":"2023-05-14T13:19:13.197911Z","shell.execute_reply.started":"2023-05-14T13:19:13.178839Z","shell.execute_reply":"2023-05-14T13:19:13.196981Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/train/defog/02ea782681.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.199568Z","iopub.execute_input":"2023-05-14T13:19:13.200321Z","iopub.status.idle":"2023-05-14T13:19:13.413809Z","shell.execute_reply.started":"2023-05-14T13:19:13.200279Z","shell.execute_reply":"2023-05-14T13:19:13.412514Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"tdcsfog_meta_data.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.415580Z","iopub.execute_input":"2023-05-14T13:19:13.416329Z","iopub.status.idle":"2023-05-14T13:19:13.431697Z","shell.execute_reply.started":"2023-05-14T13:19:13.416257Z","shell.execute_reply":"2023-05-14T13:19:13.430623Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/train/tdcsfog/003f117e14.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.436341Z","iopub.execute_input":"2023-05-14T13:19:13.436725Z","iopub.status.idle":"2023-05-14T13:19:13.463554Z","shell.execute_reply.started":"2023-05-14T13:19:13.436697Z","shell.execute_reply":"2023-05-14T13:19:13.462519Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Проверка данных в таблицах","metadata":{}},{"cell_type":"markdown","source":"### Test dataframes","metadata":{}},{"cell_type":"code","source":"test_defog_146 = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/test/defog/02ab235146.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.464779Z","iopub.execute_input":"2023-05-14T13:19:13.465669Z","iopub.status.idle":"2023-05-14T13:19:13.700127Z","shell.execute_reply.started":"2023-05-14T13:19:13.465636Z","shell.execute_reply":"2023-05-14T13:19:13.698807Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_tdcsfog_e14 = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/test/tdcsfog/003f117e14.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.701726Z","iopub.execute_input":"2023-05-14T13:19:13.702092Z","iopub.status.idle":"2023-05-14T13:19:13.714208Z","shell.execute_reply.started":"2023-05-14T13:19:13.702055Z","shell.execute_reply":"2023-05-14T13:19:13.712814Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### DeFog","metadata":{}},{"cell_type":"code","source":"test_defog_146.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.715812Z","iopub.execute_input":"2023-05-14T13:19:13.716291Z","iopub.status.idle":"2023-05-14T13:19:13.729864Z","shell.execute_reply.started":"2023-05-14T13:19:13.716251Z","shell.execute_reply":"2023-05-14T13:19:13.728551Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_defog_146.corr()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.731739Z","iopub.execute_input":"2023-05-14T13:19:13.732258Z","iopub.status.idle":"2023-05-14T13:19:13.773175Z","shell.execute_reply.started":"2023-05-14T13:19:13.732205Z","shell.execute_reply":"2023-05-14T13:19:13.771715Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_defog_146.describe()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.774955Z","iopub.execute_input":"2023-05-14T13:19:13.775456Z","iopub.status.idle":"2023-05-14T13:19:13.833922Z","shell.execute_reply.started":"2023-05-14T13:19:13.775412Z","shell.execute_reply":"2023-05-14T13:19:13.832602Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dict = ['AccV', 'AccML', 'AccAP']\nfor i in dict:\n    test_defog_146[i].plot(kind='density')\n    plt.ylabel('Values')\n    plt.xlabel(f'True/False for {i}')\n    plt.title(f'Dispersion for column {i}')\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:13.835504Z","iopub.execute_input":"2023-05-14T13:19:13.835850Z","iopub.status.idle":"2023-05-14T13:19:30.506241Z","shell.execute_reply.started":"2023-05-14T13:19:13.835822Z","shell.execute_reply":"2023-05-14T13:19:30.504888Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### TdcsFog","metadata":{}},{"cell_type":"code","source":"test_tdcsfog_e14.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:30.508122Z","iopub.execute_input":"2023-05-14T13:19:30.508789Z","iopub.status.idle":"2023-05-14T13:19:30.523062Z","shell.execute_reply.started":"2023-05-14T13:19:30.508754Z","shell.execute_reply":"2023-05-14T13:19:30.520881Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_tdcsfog_e14.corr()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:30.524952Z","iopub.execute_input":"2023-05-14T13:19:30.525356Z","iopub.status.idle":"2023-05-14T13:19:30.549572Z","shell.execute_reply.started":"2023-05-14T13:19:30.525324Z","shell.execute_reply":"2023-05-14T13:19:30.548086Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_tdcsfog_e14.describe()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:30.551355Z","iopub.execute_input":"2023-05-14T13:19:30.551826Z","iopub.status.idle":"2023-05-14T13:19:30.588399Z","shell.execute_reply.started":"2023-05-14T13:19:30.551785Z","shell.execute_reply":"2023-05-14T13:19:30.587118Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dict = ['AccV', 'AccML', 'AccAP']\nfor i in dict:\n    test_tdcsfog_e14[i].plot(kind='density')\n    plt.ylabel('Values')\n    plt.xlabel(f'True/False for {i}')\n    plt.title(f'Dispersion for column {i}')\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:30.590011Z","iopub.execute_input":"2023-05-14T13:19:30.590514Z","iopub.status.idle":"2023-05-14T13:19:31.723397Z","shell.execute_reply.started":"2023-05-14T13:19:30.590470Z","shell.execute_reply":"2023-05-14T13:19:31.722219Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Train dataframes","metadata":{}},{"cell_type":"markdown","source":"#### DeFog","metadata":{}},{"cell_type":"code","source":"train_defog_681 = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/train/defog/02ea782681.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:31.724626Z","iopub.execute_input":"2023-05-14T13:19:31.724960Z","iopub.status.idle":"2023-05-14T13:19:31.921414Z","shell.execute_reply.started":"2023-05-14T13:19:31.724932Z","shell.execute_reply":"2023-05-14T13:19:31.920091Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_defog_f39 = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/train/defog/38befe9f39.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:31.922876Z","iopub.execute_input":"2023-05-14T13:19:31.923261Z","iopub.status.idle":"2023-05-14T13:19:32.099420Z","shell.execute_reply.started":"2023-05-14T13:19:31.923228Z","shell.execute_reply":"2023-05-14T13:19:32.098287Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_defog_bb5 = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/train/defog/dd0ddc0bb5.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:32.100928Z","iopub.execute_input":"2023-05-14T13:19:32.101388Z","iopub.status.idle":"2023-05-14T13:19:32.389284Z","shell.execute_reply.started":"2023-05-14T13:19:32.101357Z","shell.execute_reply":"2023-05-14T13:19:32.388342Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### TdcsFog","metadata":{}},{"cell_type":"code","source":"train_defog_681.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:32.390419Z","iopub.execute_input":"2023-05-14T13:19:32.391393Z","iopub.status.idle":"2023-05-14T13:19:32.407727Z","shell.execute_reply.started":"2023-05-14T13:19:32.391352Z","shell.execute_reply":"2023-05-14T13:19:32.406585Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_defog_f39.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:32.409169Z","iopub.execute_input":"2023-05-14T13:19:32.409545Z","iopub.status.idle":"2023-05-14T13:19:32.432400Z","shell.execute_reply.started":"2023-05-14T13:19:32.409513Z","shell.execute_reply":"2023-05-14T13:19:32.431107Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_defog_bb5.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:32.433721Z","iopub.execute_input":"2023-05-14T13:19:32.434069Z","iopub.status.idle":"2023-05-14T13:19:32.451727Z","shell.execute_reply.started":"2023-05-14T13:19:32.434014Z","shell.execute_reply":"2023-05-14T13:19:32.450336Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_defog_681.describe()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:32.452939Z","iopub.execute_input":"2023-05-14T13:19:32.453560Z","iopub.status.idle":"2023-05-14T13:19:32.523120Z","shell.execute_reply.started":"2023-05-14T13:19:32.453527Z","shell.execute_reply":"2023-05-14T13:19:32.522273Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_defog_f39.describe()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:32.524390Z","iopub.execute_input":"2023-05-14T13:19:32.524694Z","iopub.status.idle":"2023-05-14T13:19:32.585861Z","shell.execute_reply.started":"2023-05-14T13:19:32.524668Z","shell.execute_reply":"2023-05-14T13:19:32.584471Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_defog_bb5.describe()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:32.587409Z","iopub.execute_input":"2023-05-14T13:19:32.587793Z","iopub.status.idle":"2023-05-14T13:19:32.660962Z","shell.execute_reply.started":"2023-05-14T13:19:32.587761Z","shell.execute_reply":"2023-05-14T13:19:32.659715Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dict = ['AccV', 'AccML', 'AccAP']\nfor i in dict:\n    train_defog_681[i].plot(kind='density')\n    plt.ylabel('Values')\n    plt.xlabel(f'True/False for {i}')\n    plt.title(f'Dispersion for column {i}')\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:19:32.662421Z","iopub.execute_input":"2023-05-14T13:19:32.662739Z","iopub.status.idle":"2023-05-14T13:19:42.619179Z","shell.execute_reply.started":"2023-05-14T13:19:32.662713Z","shell.execute_reply":"2023-05-14T13:19:42.617995Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dict = ['AccV', 'AccML', 'AccAP']\nfor i in dict:\n    train_defog_f39[i].plot(kind='density')\n    plt.ylabel('Values')\n    plt.xlabel(f'True/False for {i}')\n    plt.title(f'Dispersion for column {i}')\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:21:36.010446Z","iopub.execute_input":"2023-05-14T13:21:36.010938Z","iopub.status.idle":"2023-05-14T13:21:43.682705Z","shell.execute_reply.started":"2023-05-14T13:21:36.010904Z","shell.execute_reply":"2023-05-14T13:21:43.681406Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dict = ['AccV', 'AccML', 'AccAP']\nfor i in dict:\n    train_defog_bb5[i].plot(kind='density')\n    plt.ylabel('Values')\n    plt.xlabel(f'Dispersion')\n    plt.title(f'Dispersion for column {i}')\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:21:43.684784Z","iopub.execute_input":"2023-05-14T13:21:43.685179Z","iopub.status.idle":"2023-05-14T13:21:56.930831Z","shell.execute_reply.started":"2023-05-14T13:21:43.685142Z","shell.execute_reply":"2023-05-14T13:21:56.929792Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### TdcsFog","metadata":{}},{"cell_type":"code","source":"train_tdcsfog_7c0 = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/train/tdcsfog/02edc527c0.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:24:13.153728Z","iopub.execute_input":"2023-05-14T13:24:13.154169Z","iopub.status.idle":"2023-05-14T13:24:13.170605Z","shell.execute_reply.started":"2023-05-14T13:24:13.154136Z","shell.execute_reply":"2023-05-14T13:24:13.169466Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_tdcsfog_323 = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/train/tdcsfog/1617d7c323.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:24:13.277940Z","iopub.execute_input":"2023-05-14T13:24:13.278981Z","iopub.status.idle":"2023-05-14T13:24:13.304533Z","shell.execute_reply.started":"2023-05-14T13:24:13.278942Z","shell.execute_reply":"2023-05-14T13:24:13.303153Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_tdcsfog_4ad = pd.read_csv('/kaggle/input/tlvmc-parkinsons-freezing-gait-prediction/train/tdcsfog/343d04c4ad.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:24:13.384403Z","iopub.execute_input":"2023-05-14T13:24:13.385663Z","iopub.status.idle":"2023-05-14T13:24:13.406700Z","shell.execute_reply.started":"2023-05-14T13:24:13.385625Z","shell.execute_reply":"2023-05-14T13:24:13.405705Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_tdcsfog_7c0.describe()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:26:13.667899Z","iopub.execute_input":"2023-05-14T13:26:13.668341Z","iopub.status.idle":"2023-05-14T13:26:13.708779Z","shell.execute_reply.started":"2023-05-14T13:26:13.668298Z","shell.execute_reply":"2023-05-14T13:26:13.707477Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_tdcsfog_7c0.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:26:13.931626Z","iopub.execute_input":"2023-05-14T13:26:13.932066Z","iopub.status.idle":"2023-05-14T13:26:13.947076Z","shell.execute_reply.started":"2023-05-14T13:26:13.932017Z","shell.execute_reply":"2023-05-14T13:26:13.945810Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_tdcsfog_323.describe()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:26:14.010082Z","iopub.execute_input":"2023-05-14T13:26:14.010509Z","iopub.status.idle":"2023-05-14T13:26:14.054202Z","shell.execute_reply.started":"2023-05-14T13:26:14.010475Z","shell.execute_reply":"2023-05-14T13:26:14.052782Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_tdcsfog_323.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:26:14.056142Z","iopub.execute_input":"2023-05-14T13:26:14.056610Z","iopub.status.idle":"2023-05-14T13:26:14.072376Z","shell.execute_reply.started":"2023-05-14T13:26:14.056578Z","shell.execute_reply":"2023-05-14T13:26:14.070707Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_tdcsfog_4ad.describe()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:26:14.163661Z","iopub.execute_input":"2023-05-14T13:26:14.164711Z","iopub.status.idle":"2023-05-14T13:26:14.203495Z","shell.execute_reply.started":"2023-05-14T13:26:14.164670Z","shell.execute_reply":"2023-05-14T13:26:14.202561Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_tdcsfog_4ad.head()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:26:14.563269Z","iopub.execute_input":"2023-05-14T13:26:14.563708Z","iopub.status.idle":"2023-05-14T13:26:14.579337Z","shell.execute_reply.started":"2023-05-14T13:26:14.563667Z","shell.execute_reply":"2023-05-14T13:26:14.577864Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dict = ['AccV', 'AccML', 'AccAP']\nfor i in dict:\n    train_tdcsfog_7c0[i].plot(kind='density')\n    plt.ylabel('Values')\n    plt.xlabel(f'Dispersion')\n    plt.title(f'Dispersion for column {i}')\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:27:33.768371Z","iopub.execute_input":"2023-05-14T13:27:33.768872Z","iopub.status.idle":"2023-05-14T13:27:34.949153Z","shell.execute_reply.started":"2023-05-14T13:27:33.768837Z","shell.execute_reply":"2023-05-14T13:27:34.947911Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dict = ['AccV', 'AccML', 'AccAP']\nfor i in dict:\n    train_defog_f39[i].plot(kind='density')\n    plt.ylabel('Values')\n    plt.xlabel(f'Dispersion')\n    plt.title(f'Dispersion for column {i}')\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:27:34.951548Z","iopub.execute_input":"2023-05-14T13:27:34.951934Z","iopub.status.idle":"2023-05-14T13:27:42.801472Z","shell.execute_reply.started":"2023-05-14T13:27:34.951903Z","shell.execute_reply":"2023-05-14T13:27:42.800091Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dict = ['AccV', 'AccML', 'AccAP']\nfor i in dict:\n    train_tdcsfog_4ad[i].plot(kind='density')\n    plt.ylabel('Values')\n    plt.xlabel(f'Dispersion')\n    plt.title(f'Dispersion for column {i}')\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-14T13:27:42.802952Z","iopub.execute_input":"2023-05-14T13:27:42.803364Z","iopub.status.idle":"2023-05-14T13:27:44.304174Z","shell.execute_reply.started":"2023-05-14T13:27:42.803332Z","shell.execute_reply":"2023-05-14T13:27:44.303246Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}