{"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 \nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\nfeat = 'B_1'\nx = pd.read_csv('../input/amex-default-prediction/train_data.csv', usecols=[feat])[feat]","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2022-05-28T23:09:50.094276Z","iopub.execute_input":"2022-05-28T23:09:50.095206Z","iopub.status.idle":"2022-05-28T23:13:06.150604Z","shell.execute_reply.started":"2022-05-28T23:09:50.095159Z","shell.execute_reply":"2022-05-28T23:13:06.149572Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Some noise distributions are not so obvious","metadata":{}},{"cell_type":"code","source":"sns.distplot(x[(x >= 0) & (x <= 0.03)], bins=1000, kde=False)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-05-28T23:28:55.684823Z","iopub.execute_input":"2022-05-28T23:28:55.685253Z","iopub.status.idle":"2022-05-28T23:28:57.616166Z","shell.execute_reply.started":"2022-05-28T23:28:55.685217Z","shell.execute_reply":"2022-05-28T23:28:57.615158Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}