{"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":"# 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":"2022-07-05T08:57:07.791706Z","iopub.execute_input":"2022-07-05T08:57:07.79239Z","iopub.status.idle":"2022-07-05T08:57:07.803895Z","shell.execute_reply.started":"2022-07-05T08:57:07.792345Z","shell.execute_reply":"2022-07-05T08:57:07.80277Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"\nimport pandas as pd\nimport numpy as nm\nimport matplotlib\ntrain1 = pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/train.csv')\ntest1 = pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/test.csv')\n","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:07.811877Z","iopub.execute_input":"2022-07-05T08:57:07.812565Z","iopub.status.idle":"2022-07-05T08:57:07.864223Z","shell.execute_reply.started":"2022-07-05T08:57:07.81253Z","shell.execute_reply":"2022-07-05T08:57:07.86337Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test1.tail()","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:07.87314Z","iopub.execute_input":"2022-07-05T08:57:07.87379Z","iopub.status.idle":"2022-07-05T08:57:07.900938Z","shell.execute_reply.started":"2022-07-05T08:57:07.873755Z","shell.execute_reply":"2022-07-05T08:57:07.900022Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X1=test1\nid=X1.Id\n#X1=X1.drop(['Id'],axis='columns')\ndatas = train1\ny=datas.SalePrice\ndatas=datas.drop(['SalePrice'],axis='columns')\ndatas=pd.concat([datas,X1],axis=0)\ndatas.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:07.9025Z","iopub.execute_input":"2022-07-05T08:57:07.903444Z","iopub.status.idle":"2022-07-05T08:57:07.936626Z","shell.execute_reply.started":"2022-07-05T08:57:07.90341Z","shell.execute_reply":"2022-07-05T08:57:07.934519Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:07.938548Z","iopub.execute_input":"2022-07-05T08:57:07.938881Z","iopub.status.idle":"2022-07-05T08:57:07.945021Z","shell.execute_reply.started":"2022-07-05T08:57:07.93885Z","shell.execute_reply":"2022-07-05T08:57:07.944208Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"nan_cols = [i for i in datas.columns if datas[i].isnull().any()]\nnan_cols","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:07.982603Z","iopub.execute_input":"2022-07-05T08:57:07.984071Z","iopub.status.idle":"2022-07-05T08:57:08.026043Z","shell.execute_reply.started":"2022-07-05T08:57:07.984013Z","shell.execute_reply":"2022-07-05T08:57:08.025188Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.isna().sum()","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.027725Z","iopub.execute_input":"2022-07-05T08:57:08.028628Z","iopub.status.idle":"2022-07-05T08:57:08.060052Z","shell.execute_reply.started":"2022-07-05T08:57:08.028595Z","shell.execute_reply":"2022-07-05T08:57:08.058247Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#X1=X1.drop(['Alley'],axis='columns')\ndatas=datas.drop(['Alley'],axis='columns')\ndatas.isna().sum()","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.062244Z","iopub.execute_input":"2022-07-05T08:57:08.06293Z","iopub.status.idle":"2022-07-05T08:57:08.087223Z","shell.execute_reply.started":"2022-07-05T08:57:08.062886Z","shell.execute_reply":"2022-07-05T08:57:08.086025Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.092007Z","iopub.execute_input":"2022-07-05T08:57:08.092709Z","iopub.status.idle":"2022-07-05T08:57:08.09944Z","shell.execute_reply.started":"2022-07-05T08:57:08.092676Z","shell.execute_reply":"2022-07-05T08:57:08.098577Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.tail()","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.138095Z","iopub.execute_input":"2022-07-05T08:57:08.139067Z","iopub.status.idle":"2022-07-05T08:57:08.166045Z","shell.execute_reply.started":"2022-07-05T08:57:08.139034Z","shell.execute_reply":"2022-07-05T08:57:08.16487Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X1.tail()","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.177569Z","iopub.execute_input":"2022-07-05T08:57:08.177954Z","iopub.status.idle":"2022-07-05T08:57:08.207248Z","shell.execute_reply.started":"2022-07-05T08:57:08.177923Z","shell.execute_reply":"2022-07-05T08:57:08.20586Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#X1=X1.drop(['PoolQC'],axis='columns')\n#X1=X1.drop(['MiscFeature'],axis='columns')\n\ndatas=datas.drop(['PoolQC'],axis='columns')\ndatas=datas.drop(['MiscFeature'],axis='columns')\n","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.209355Z","iopub.execute_input":"2022-07-05T08:57:08.209698Z","iopub.status.idle":"2022-07-05T08:57:08.219923Z","shell.execute_reply.started":"2022-07-05T08:57:08.209656Z","shell.execute_reply":"2022-07-05T08:57:08.218979Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.isna().sum()","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.236154Z","iopub.execute_input":"2022-07-05T08:57:08.237951Z","iopub.status.idle":"2022-07-05T08:57:08.260111Z","shell.execute_reply.started":"2022-07-05T08:57:08.237908Z","shell.execute_reply":"2022-07-05T08:57:08.258939Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#cols_to_fill_zero = ['LotFrontage','Fence','MasVnrArea','Electrical','MasVnrType',\n# 'BsmtQual',\n#  'BsmtCond',\n#  'BsmtExposure',\n#  'BsmtFinType1',\n#  'BsmtFinType2',\n#  'FireplaceQu',\n#  'GarageType',\n#  'GarageYrBlt',\n#  'GarageFinish',\n#  'GarageQual',\n#  'GarageCond','MSZoning',\n#  'Utilities',\n#  'Exterior1st',\n#  'Exterior2nd',\n#  'BsmtFinSF1',\n#  'BsmtFinSF2',\n#  'BsmtUnfSF',\n#  'TotalBsmtSF',\n#  'BsmtFullBath',\n#  'BsmtHalfBath',\n#  'KitchenQual',\n#  'Functional',\n#  'GarageCars',\n#  'GarageArea',\n#  'SaleType']\n#X1[cols_to_fill_zero] = X1[cols_to_fill_zero].fillna(0)","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.278815Z","iopub.execute_input":"2022-07-05T08:57:08.279897Z","iopub.status.idle":"2022-07-05T08:57:08.285697Z","shell.execute_reply.started":"2022-07-05T08:57:08.279859Z","shell.execute_reply":"2022-07-05T08:57:08.284756Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cols_to_fill_zero1 = ['LotFrontage','Fence','MasVnrArea','Electrical','MasVnrType',\n 'BsmtQual',\n 'BsmtCond',\n 'BsmtExposure',\n 'BsmtFinType1',\n 'BsmtFinType2',\n 'FireplaceQu',\n 'GarageType',\n 'GarageYrBlt',\n 'GarageFinish',\n 'GarageQual',\n 'GarageCond','MSZoning',\n 'Utilities',\n 'Exterior1st',\n 'Exterior2nd',\n 'BsmtFinSF1',\n 'BsmtFinSF2',\n 'BsmtUnfSF',\n 'TotalBsmtSF',\n 'BsmtFullBath',\n 'BsmtHalfBath',\n 'KitchenQual',\n 'Functional',\n 'GarageCars',\n 'GarageArea',\n 'SaleType']\ndatas[cols_to_fill_zero1] = datas[cols_to_fill_zero1].fillna(0)","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.337718Z","iopub.execute_input":"2022-07-05T08:57:08.339612Z","iopub.status.idle":"2022-07-05T08:57:08.364353Z","shell.execute_reply.started":"2022-07-05T08:57:08.339565Z","shell.execute_reply":"2022-07-05T08:57:08.362863Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.nunique()","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.372013Z","iopub.execute_input":"2022-07-05T08:57:08.372388Z","iopub.status.idle":"2022-07-05T08:57:08.405222Z","shell.execute_reply.started":"2022-07-05T08:57:08.372357Z","shell.execute_reply":"2022-07-05T08:57:08.404229Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.head()\n","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.432743Z","iopub.execute_input":"2022-07-05T08:57:08.433093Z","iopub.status.idle":"2022-07-05T08:57:08.46102Z","shell.execute_reply.started":"2022-07-05T08:57:08.433065Z","shell.execute_reply":"2022-07-05T08:57:08.459517Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"nan_cols = [i for i in datas.columns if datas[i].isnull().any()]\nnan_cols","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.464034Z","iopub.execute_input":"2022-07-05T08:57:08.464316Z","iopub.status.idle":"2022-07-05T08:57:08.493472Z","shell.execute_reply.started":"2022-07-05T08:57:08.464292Z","shell.execute_reply":"2022-07-05T08:57:08.49264Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# nan_cols = [i for i in X1.columns if X1[i].isnull().any()]\n# nan_cols","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.514086Z","iopub.execute_input":"2022-07-05T08:57:08.514989Z","iopub.status.idle":"2022-07-05T08:57:08.519359Z","shell.execute_reply.started":"2022-07-05T08:57:08.514957Z","shell.execute_reply":"2022-07-05T08:57:08.518058Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.653257Z","iopub.execute_input":"2022-07-05T08:57:08.653725Z","iopub.status.idle":"2022-07-05T08:57:08.661552Z","shell.execute_reply.started":"2022-07-05T08:57:08.653683Z","shell.execute_reply":"2022-07-05T08:57:08.660724Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.dropna(axis = 0, how ='any', thresh = None, subset = None, inplace=False)","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.672444Z","iopub.execute_input":"2022-07-05T08:57:08.674373Z","iopub.status.idle":"2022-07-05T08:57:08.726133Z","shell.execute_reply.started":"2022-07-05T08:57:08.674305Z","shell.execute_reply":"2022-07-05T08:57:08.725088Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"datas.shape\n","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.734573Z","iopub.execute_input":"2022-07-05T08:57:08.735266Z","iopub.status.idle":"2022-07-05T08:57:08.741858Z","shell.execute_reply.started":"2022-07-05T08:57:08.735234Z","shell.execute_reply":"2022-07-05T08:57:08.740755Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# X1.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.778074Z","iopub.execute_input":"2022-07-05T08:57:08.778497Z","iopub.status.idle":"2022-07-05T08:57:08.784206Z","shell.execute_reply.started":"2022-07-05T08:57:08.778464Z","shell.execute_reply":"2022-07-05T08:57:08.782819Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"nan_cols = [i for i in datas.columns if datas[i].isnull().any()]\nnan_cols","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.789391Z","iopub.execute_input":"2022-07-05T08:57:08.789973Z","iopub.status.idle":"2022-07-05T08:57:08.827273Z","shell.execute_reply.started":"2022-07-05T08:57:08.789936Z","shell.execute_reply":"2022-07-05T08:57:08.826171Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dataset = pd.get_dummies(datas, drop_first=True)\n# X11=pd.get_dummies(X1, drop_first=True)","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.831736Z","iopub.execute_input":"2022-07-05T08:57:08.834513Z","iopub.status.idle":"2022-07-05T08:57:08.886479Z","shell.execute_reply.started":"2022-07-05T08:57:08.834405Z","shell.execute_reply":"2022-07-05T08:57:08.88509Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dataset.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.888384Z","iopub.execute_input":"2022-07-05T08:57:08.888712Z","iopub.status.idle":"2022-07-05T08:57:08.895247Z","shell.execute_reply.started":"2022-07-05T08:57:08.888685Z","shell.execute_reply":"2022-07-05T08:57:08.894022Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dataset.head(1500)","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.914591Z","iopub.execute_input":"2022-07-05T08:57:08.915029Z","iopub.status.idle":"2022-07-05T08:57:08.94943Z","shell.execute_reply.started":"2022-07-05T08:57:08.914997Z","shell.execute_reply":"2022-07-05T08:57:08.948422Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# X11.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.951756Z","iopub.execute_input":"2022-07-05T08:57:08.953127Z","iopub.status.idle":"2022-07-05T08:57:08.957473Z","shell.execute_reply.started":"2022-07-05T08:57:08.953082Z","shell.execute_reply":"2022-07-05T08:57:08.956535Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"y.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.972644Z","iopub.execute_input":"2022-07-05T08:57:08.972975Z","iopub.status.idle":"2022-07-05T08:57:08.978767Z","shell.execute_reply.started":"2022-07-05T08:57:08.972949Z","shell.execute_reply":"2022-07-05T08:57:08.977751Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# =dataset.drop([0,1459],axis=0)\ndataset.tail(1460)","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:08.98531Z","iopub.execute_input":"2022-07-05T08:57:08.985681Z","iopub.status.idle":"2022-07-05T08:57:09.019931Z","shell.execute_reply.started":"2022-07-05T08:57:08.985644Z","shell.execute_reply":"2022-07-05T08:57:09.018838Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X=dataset.iloc[:1460,:]\ntest=dataset.iloc[1460:,:]","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.021923Z","iopub.execute_input":"2022-07-05T08:57:09.02287Z","iopub.status.idle":"2022-07-05T08:57:09.029179Z","shell.execute_reply.started":"2022-07-05T08:57:09.022834Z","shell.execute_reply":"2022-07-05T08:57:09.028342Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.030558Z","iopub.execute_input":"2022-07-05T08:57:09.031068Z","iopub.status.idle":"2022-07-05T08:57:09.044281Z","shell.execute_reply.started":"2022-07-05T08:57:09.031028Z","shell.execute_reply":"2022-07-05T08:57:09.043483Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test.head()","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.046689Z","iopub.execute_input":"2022-07-05T08:57:09.047112Z","iopub.status.idle":"2022-07-05T08:57:09.084945Z","shell.execute_reply.started":"2022-07-05T08:57:09.04708Z","shell.execute_reply":"2022-07-05T08:57:09.083693Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\n\ntrain_X, test_X, train_y, test_y = train_test_split(X, y, test_size=0.2, random_state=42)","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.087504Z","iopub.execute_input":"2022-07-05T08:57:09.088873Z","iopub.status.idle":"2022-07-05T08:57:09.104302Z","shell.execute_reply.started":"2022-07-05T08:57:09.088834Z","shell.execute_reply":"2022-07-05T08:57:09.102816Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.105641Z","iopub.execute_input":"2022-07-05T08:57:09.106562Z","iopub.status.idle":"2022-07-05T08:57:09.114329Z","shell.execute_reply.started":"2022-07-05T08:57:09.106514Z","shell.execute_reply":"2022-07-05T08:57:09.11313Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# X1.shape","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.13454Z","iopub.execute_input":"2022-07-05T08:57:09.136311Z","iopub.status.idle":"2022-07-05T08:57:09.141085Z","shell.execute_reply.started":"2022-07-05T08:57:09.136227Z","shell.execute_reply":"2022-07-05T08:57:09.140284Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.linear_model import LinearRegression\nreg = LinearRegression().fit(train_X, train_y)\nreg.score(test_X,test_y)","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.17442Z","iopub.execute_input":"2022-07-05T08:57:09.17569Z","iopub.status.idle":"2022-07-05T08:57:09.234091Z","shell.execute_reply.started":"2022-07-05T08:57:09.175628Z","shell.execute_reply":"2022-07-05T08:57:09.232854Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.linear_model import Ridge\nridge_reg= Ridge(alpha=50, max_iter=100, tol=0.1)\nridge_reg.fit(train_X, train_y)\nridge_reg.score(test_X, test_y)","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.236496Z","iopub.execute_input":"2022-07-05T08:57:09.237095Z","iopub.status.idle":"2022-07-05T08:57:09.286378Z","shell.execute_reply.started":"2022-07-05T08:57:09.237056Z","shell.execute_reply":"2022-07-05T08:57:09.285495Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"y_predicted1=ridge_reg.predict(test)\ny_predicted1[800]","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.287865Z","iopub.execute_input":"2022-07-05T08:57:09.289534Z","iopub.status.idle":"2022-07-05T08:57:09.322417Z","shell.execute_reply.started":"2022-07-05T08:57:09.289494Z","shell.execute_reply":"2022-07-05T08:57:09.321493Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"prediction = pd.DataFrame(y_predicted1, columns=['saleprice']).to_csv('submiss.csv',index=False)\nresult=pd.read_csv('submiss.csv')\nresult=pd.concat([id,result],axis='columns')\n#result=result.drop([1459],axis=0)\nresult.shape\n","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.32488Z","iopub.execute_input":"2022-07-05T08:57:09.32808Z","iopub.status.idle":"2022-07-05T08:57:09.36802Z","shell.execute_reply.started":"2022-07-05T08:57:09.328002Z","shell.execute_reply":"2022-07-05T08:57:09.367123Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"prediction = pd.DataFrame(result, columns=['Id','saleprice']).to_csv('submission.csv',index=False)\nresults=pd.read_csv('submission.csv')\nresults.tail()","metadata":{"execution":{"iopub.status.busy":"2022-07-05T08:57:09.370855Z","iopub.execute_input":"2022-07-05T08:57:09.372297Z","iopub.status.idle":"2022-07-05T08:57:09.400715Z","shell.execute_reply.started":"2022-07-05T08:57:09.372258Z","shell.execute_reply":"2022-07-05T08:57:09.399808Z"},"trusted":true},"execution_count":null,"outputs":[]}]}