A python library for Argo data beginners and experts
The official documentation is hosted on ReadTheDocs.org: https://argopy.readthedocs.io
# 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.
# 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
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