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loadPullDataAnalysis

Follow the link for API-Documentation

To install the API module as a local python pacakge, run cd <Path to repository>/codePackage/ && pip3 install .

Install requirements.txt: cd <Path to repository>/GUI_Dash/ && pip3 install -r requirements.txt

Create Unix Executable:

    cd <Path to repository>/GUI_Dash/
    cp app.py ./app
    chmod 755 app

Launch App on Unix Machines:

    cd <Path to repository>/GUI_Dash/
    python3 app.py

OR Double click on 'app' created in the earlier step.

Launch App on Windows Machines:

  • Ensure Python3 is installed and Python and pip are up to date

  • Follow steps to install requirements.txt

  • Launch the app by running

      cd <Path to repository>\GUI_Dash\ 
      .\app.py 
    

OR executing app.py with python python .\app.py

Reposito-ree

.
├── GUI_Dash
│   ├── DataFiles
│   │   ├── Requirements.txt
│   │   ├── UTD_LP_File_1.csv
│   │   ├── UTD_LP_File_1.mdf
│   │   ├── UTD_LP_File_1.pkl
│   │   └── test.mdf
│   ├── Readme.md
│   ├── app.py
│   ├── app_uploaded_files
│   │   ├── UTD_LP_File_1.csv
│   │   ├── UTD_LP_File_1.mdf
│   │   └── UTD_LP_File_1.pkl
│   ├── assets
│   │   ├── logo192.png
│   │   ├── logo512.png
│   │   └── undraw_data_processing_yrrv.png
│   └── requirements.txt
├── README.md
├── codePackage
│   ├── README.md
│   ├── build
│   │   └── lib
│   │       └── loadPullDataAnalysis
│   │           ├── __init__.py
│   │           ├── dataXformation.py
│   │           └── mdfParser.py
│   ├── docs
│   ├── requirements.txt
│   ├── setup.py
│   ├── src
│   │   ├── loadPullDataAnalysis
│   │   │   ├── __init__.py
│   │   │   ├── dataXformation.py
│   │   │   └── mdfParser.py
│   └── tests
│       ├── dataXformationTest.py
│       └── parsingTest.py
├── dataXformationNBs
│   ├── 2021-04-15-143121.ipynb
│   ├── df_processing.ipynb
│   └── interpolatedSlicing.ipynb
├── generatedData
│   ├── UTD_LP_File_1.csv
│   ├── UTD_LP_File_1.pkl
│   ├── test.csv
│   └── test.pkl
├── loadpulldataanalysis.pdf
└── rawData
    ├── UTD_LP_File_1.mdf
    └── test.mdf

19 directories, 55 files