16 lines
1.5 KiB
JSON
16 lines
1.5 KiB
JSON
{
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"permissions": {
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"allow": [
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"Bash(python -c \"import pandas as pd; df = pd.read_excel\\('data/心血管疾病.xlsx', nrows=5\\); print\\('Columns:', df.columns.tolist\\(\\)\\); print\\('Data types:', df.dtypes\\); print\\('Sample data:'\\); print\\(df.head\\(\\)\\)\")",
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"Bash(\"D:\\\\software\\\\anaconda\\\\Scripts\\\\conda.exe\" run:*)",
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"Bash(\"D:\\\\software\\\\anaconda\\\\envs\\\\cardioenv\\\\python.exe\" module1_dashboard/test_data.py)",
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"Bash(\"D:\\\\software\\\\anaconda\\\\envs\\\\cardioenv\\\\python.exe\" -m streamlit run module1_dashboard/cardio_dashboard.py --help)",
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"Bash(\"D:\\\\software\\\\anaconda\\\\envs\\\\cardioenv\\\\python.exe\" -c \"import pandas as pd; df = pd.read_excel\\('data/心血管疾病.xlsx', nrows=10\\); print\\('Columns:', df.columns.tolist\\(\\)\\); print\\('\\\\nData types:'\\); print\\(df.dtypes\\); print\\('\\\\nSample data:'\\); print\\(df[['age', 'gender', 'height', 'weight', 'ap_hi', 'ap_lo', 'cholesterol', 'gluc', 'smoke', 'alco', 'active', 'cardio']].head\\(\\)\\)\")",
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"Bash(\"D:\\\\software\\\\anaconda\\\\envs\\\\cardioenv\\\\python.exe\" -m py_compile module2_predictor/train_and_save.py)",
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"Bash(\"D:\\\\software\\\\anaconda\\\\envs\\\\cardioenv\\\\python.exe\" module2_predictor/train_and_save.py)",
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"Bash(\"D:\\\\software\\\\anaconda\\\\envs\\\\cardioenv\\\\python.exe\" -m py_compile module2_predictor/app.py)",
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"Bash(\"D:\\\\software\\\\anaconda\\\\envs\\\\cardioenv\\\\python.exe\" module2_predictor/test_api.py)"
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]
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}
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}
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