gerg_plotting 0.0.3

No project description provided

GERG Plotting

Data plotting package for GERG
Explore the docs »

Report Bug · Request Feature

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Dependencies
   • Installation
3. Usage
4. Contributing
5. License
6. Contact
7. Acknowledgments

About The Project

This project was created to streamline and standardize the process of generating plots at GERG.

Built With

Getting Started

There are three ways to get started

1. Create a fresh virtual environment using your favorite method and install the dependencies
2. Use an already established virtual environment and install the dependencies

Dependencies

I have provided some commands to install the dependencies using conda but you can use any package manager

List of dependencies:

• python = 3.12
• numpy = 2.0.0
• pandas = 2.2.2
• matplotlib = 3.9.1
• xarray = 2024.6.0
• attrs = 23.2.0
• netcdf4 = 1.7.1.post1
• cmocean = 4.0.3
• scipy = 1.14.0
• mayavi = 4.8.2

1. Creating your own virtual environment then installing dependencies

   You can change "gerg_plotting" to your desired environment name

   conda create -n gerg_plotting python=3.12
   

   conda activate gerg_plotting
   

   pip install numpy pandas xarray matplotlib attrs notebook
   

2. Using an already established virtual environment

   conda activate your_env
   

   pip install numpy pandas xarray gsw attrs
   

Installation

1. Activate your virtual environment
2. Verify/Install Dependencies
3. Clone the repo

   git clone https://github.com/alecmkrueger/gerg_plotting.git
   

Usage

Plot data at GERG using Python.

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Alec Krueger - [e-mail]

Project Link: https://github.com/alecmkrueger/gerg_plotting

Acknowledgments

• Alec Krueger, Texas A&M University, Geochemical and Environmental Research Group, [e-mail]

(back to top)