Skip to main content
https://github.com/GliderToolsCommunity/GliderTools/actions/workflows/ci.yml/badge.svg https://img.shields.io/conda/vn/conda-forge/glidertools.svg https://badgen.net/pypi/v/glidertools https://pepy.tech/badge/glidertools https://readthedocs.org/projects/glidertools/badge/?version=latest https://img.shields.io/badge/License-GPLv3-blue.svg https://img.shields.io/badge/Journal-10.3389%2Ffmars.2019.00738-blue https://zenodo.org/badge/DOI/10.5281/zenodo.4075238.svg https://codecov.io/gh/GliderToolsCommunity/GliderTools/branch/master/graph/badge.svg?token=FPUJ29TMSH

Glider tools is a Python 3.8+ package designed to process data from the first level of processing to a science ready dataset (delayed mode quality control). The package is designed to easily import data to a standard column format (numpy.ndarray or pandas.DataFrame). Cleaning and smoothing functions are flexible and can be applied as required by the user. We provide examples and demonstrate best practices as developed by the SOCCO Group, with early contributions from Polar Gliders at the University of Gothenburg. GliderTools includes contributions from VOTO. We aim to implement Best Practices developed by OceanGliders in the ongoing discussions.

Please cite the original publication of this package and the package itself.

Installation

Conda

To install the core package from conda-forge run: conda install -c conda-forge glidertools

PyPI

To install the core package run: pip install glidertools.

GitHub

  1. Clone glidertools to your local machine: git clone https://github.com/GliderToolsCommunity/GliderTools

  2. Change to the parent directory of GliderTools

  3. Install glidertools with pip install -e ./GliderTools. This will allow changes you make locally, to be reflected when you import the package in Python

How you can contribute

  • Join the community by introducing yourself (no need to be a Python or Git guru! Just say what you are working with and join the discussion)

  • If you find an error, please report it on as a Github issue. Please copy the entire error message (even if it’s long).

  • Oxygen processing is rudimentary so far but we are on it and happy to get your support in this discussion

For contributing follow the instructions

Acknowledgements

  • We rely heavily on ion_functions.data.flo_functions which was written by Christopher Wingard, Craig Risien, Russell Desiderio

  • This work was initially funded by Pedro M Scheel Monteiro at the Council for Scientific and Industrial Research (where Luke was working at the time of writing the code).

  • Testers for their feedback: SOCCO team at the CSIR and …

Metadata

Release files for glidertools 2023.7.25

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for glidertools 2023.7.25
File Size Uploaded
glidertools-2023.7.25.tar.gz 19.8 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for glidertools 2023.7.25
File Interpreter ABI Platform
glidertools-2023.7.25-py3-none-any.whl Python 3 none any Details

Total release size: 19.9 MB

Release files / glidertools-2023.7.25.tar.gz

Download URL glidertools-2023.7.25.tar.gz
Size 19.8 MB
Tags Source
SHA-256 checksum
How to use checksums
07efc6d3e54eb78534b1eaace60a67b94abee145217ff73b3123ffd80f888176
BLAKE2b-256 checksum
How to use checksums
4e45f5426079d1bf0094561835ea354217643f02db3ef45b39f7e6874f9c93f6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.17

Release files / glidertools-2023.7.25-py3-none-any.whl

Download URL glidertools-2023.7.25-py3-none-any.whl
Size 89.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9eda5cf77516551c03fb118bf9a3ed4d6a353c12cb52c7aacca829efd77397db
BLAKE2b-256 checksum
How to use checksums
c9a99b8529dea553d9214e6f82355773027705f48fd73e1d569246e093b3d6a0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.17

Release history Release notifications | RSS feed

This release

2023.7.25 This release

2 release files

2021.3

2 release files

2020.3

2 release files

2020.2

2 release files

2019.5

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page