argopy 0.1.11

A python library for Argo data beginners and experts

argopy is a python library dedicated to Argo data access, visualisation and manipulation for regular users as well as Argo experts and operators

Documentation

The official documentation is hosted on ReadTheDocs.org: https://argopy.readthedocs.io

Install

Binary installers for the latest released version are available at the Python Package Index (PyPI) and on Conda.

# conda
conda install -c conda-forge argopy

# or PyPI
pip install argopy

argopy is continuously tested to work under most OS (Linux, Mac, Windows) and with python versions 3.7 and 3.8.

Usage

# Import the main fetcher:
from argopy import DataFetcher as ArgoDataFetcher

# Define what you want to fetch... 
# a region:
ArgoSet = ArgoDataFetcher().region([-85,-45,10.,20.,0,10.])
# floats:
ArgoSet = ArgoDataFetcher().float([6902746, 6902747, 6902757, 6902766])
# or specific profiles:
ArgoSet = ArgoDataFetcher().profile(6902746, 34)

# then fetch and get data as xarray datasets:
ds = ArgoSet.load().data
# or
ds = ArgoSet.to_xarray()

# you can even plot some information:
ArgoSet.plot('trajectory')    

They are many more usages and fine-tuning to allow you to access and manipulate Argo data:

• filters at fetch time (standard vs expert users, automatically select QC flags or data mode, ...)
• select data sources (erddap, ftp, local, ...)
• manipulate data (points, profiles, interpolations, binning, ...)
• visualisation (trajectories, topography, histograms, ...)
• tools for Quality Control (OWC, figures, ...)
• improve performances (caching, parallel data fetching)

Just check out the documentation for more !

Development and contributions

See our development roadmap here: https://github.com/euroargodev/argopy/milestone/3

Checkout the contribution page if you want to get involved and help maintain or develop argopy.