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Grootbos Analytics

Installation

Step 1: Clone the Repository

First, you need to obtain the Grootbos Analytics project by cloning the GitHub repository:

git clone https://github.com/evan-erasmus/Grootbos-Analytics.git

Or download the zip file from the following url and extracting it to a folder named "Grootbos-Analytics"

Step 2: Run the Installation Script (Windows)

Open the newly created folder and run the windows_install.bat file.

Step 2: Run the Installation Script (Linux)

Open the terminal in the Grootbos-Analytics directory and run sudo ./linux_install.sh.

Step 3: Verify Installation (optional)

Check if Python and the required packages were installed successfully:

python --version

Step 4: Done

Installation completed successfully. You may need to restart your command prompt or shell to use Python and the installed packages.

Usage

Running the Grootbos Analytics Project

To start the project menu system, run the following command in the Windows command prompt or terminal inside the Grootbos-Analytics directory:

python main.py

(To easily open the command prompt in the correct location, open the Grootbos-Analytics folder right-click and select "Open Command Window Here" - otherwise just open command prompt and type cd path/to/Grootbos-Analytics. Remember to replace "path/to" with the actual path to where the Grootbos-Analytics folder is)

Menu Options

  • Get File: Select a data file to work with. You can choose a specific file or enter "all" for all files.
  • Get Hourly Intervals: Choose whether to represent the data in 6-hour intervals or not.
  • Get Plot: Select the type of plot you want to generate (Averages or Raw Data) and see the results.

Troubleshooting

Python Not Found

If you encounter an error that Python is not found, make sure that Python was installed correctly and that it's added to your system's PATH environment variable.

Installation Errors

If you face any installation errors, please refer to the official Python website (https://www.python.org/) for troubleshooting tips related to Python installation.

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