Package for GERG to ingest raw glider data into NetCDF files
Project description
GERG Glider Ingest
Convert raw data from GERG gliders into netcdf using python on windows
Explore the docs »
Report Bug
·
Request Feature
Table of Contents
About The Project
This project was created to streamline the process of converting the raw data from the gliders after missions into NetCDF files, as well as ensuring the code can be easily maintained, understood, and used by others.
Built With
Getting Started
There are three ways to get started
- Create a conda virtual environment using the .yml file provided (preferred)
- Create a conda virtual environment and install the dependencies yourself
- Use an already established virtual environment and install the dependencies (not recommended)
Dependencies
I have provided some commands for the dependencies
-
Using the .yml file (preferred)
conda env create -f gerg_glider_ingest.yml
-
Creating your own virtual environment then installing dependencies
You can change "yourenv" to your desired environment name
conda create -n yourenv python=3.10
conda activate yourenv
pip install numpy pandas xarray gsw attrs
-
Using an already established virtual environment (not recommended)
conda activate yourenv
pip install numpy pandas xarray gsw attrs
Installation
- Activate your virtual environment
- Verify/Install Dependencies
- Clone the repo
git clone https://github.com/alecmkrueger/gerg_glider_ingest.git
Usage
Process raw data from gliders using python.
The only things that need to be changed by the user are:
- glider id/number (used for NetCDF metadata)
- the mission title (used for NetCDF metadata)
- source data directory
- processed data output directory
- NetCDF filename
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".
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
License
Distributed under the MIT License. See LICENSE
for more information.
Contact
Alec Krueger - alecmkrueger@tamu.edu
Project Link: https://github.com/alecmkrueger/gerg_glider_ingest
Acknowledgments
- Sakib Mahmud, Texas A&M University, Geochemical and Environmental Research Group, sakib@tamu.edu
- Xiao Ge, Texas A&M University, Geochemical and Environmental Research Group, gexiao@tamu.edu
- Alec Krueger, Texas A&M University, Geochemical and Environmental Research Group, alecmkrueger@tamu.edu
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file glider_ingest-1.0.1.tar.gz
.
File metadata
- Download URL: glider_ingest-1.0.1.tar.gz
- Upload date:
- Size: 2.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.4 Windows/11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e34eec90957762d7ca3eef73536204d88729c28c350fd6410b207f90060d4c8e |
|
MD5 | baca91fdfa21ec7cd5fc8a0e59ed7cea |
|
BLAKE2b-256 | 8de533ac2f96306f6bd98bf9798c6067dd1f39ed9aa9e6aec1ba7f2df044ef52 |
File details
Details for the file glider_ingest-1.0.1-py3-none-any.whl
.
File metadata
- Download URL: glider_ingest-1.0.1-py3-none-any.whl
- Upload date:
- Size: 2.5 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.4 Windows/11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b0c3e73e0b91cf420905012835d898451cd6d1d18ac0a18debc64218b09cad90 |
|
MD5 | eb39720e9a704c342b98b41482624b37 |
|
BLAKE2b-256 | 183d606bdb8dbf5e11478944779ac70717457a94d484fc8c4cf4517887f09506 |