Citing Siphon
If you use Siphon and want to provide a DOI/citation, see How to Acknowledge Unidata.
Siphon is a collection of Python utilities for downloading data from remote
data services. Much of Siphon’s current functionality focuses on access to
data hosted on a
THREDDS Data Server, although access to data hosted by other web technologies
is being quickly added.
Siphon can be easily integrated into workflows built using the the scientific Python ecosystem, including the Numpy, Scipy, and Matplotlib projects, as well as with Unidata’s MetPy library, which is a collection of tools in Python for reading, visualizing, and performing calculations with weather data.
The Siphon project is still in its early stages. Here are a few of its current features:
If you use Siphon and want to provide a DOI/citation, see How to Acknowledge Unidata.
Siphon code
Unidata embarks on new projects to help make its data and tools available to a broader, more diverse audience. The following is a list of projects related to the Siphon effort, involving the Unidata Program Center and external collaborators.
MetPy
is a collection of tools in Python for reading, visualizing, and performing calculations with
weather data. MetPy aims to mesh well with the rest of the scientific Python
ecosystem, including the Numpy, Scipy, and Matplotlib projects, adding functionality
specific to meteorology.
The Python AWIPS Data Access Framework (DAF)
provides access to an AWIPS II Environmental Data EXchange (EDEX) server directly from Python
code. The DAF strengthens Unidata's AWIPS II offerings by making it easier
to retrieve data from the AWIPS II data storage system from outside the Common
AWIPS Visualization Environment (CAVE).
Unidata Program Center staff assist author Jeff Whitaker in maintaining the netcdf4-python module, which is a Python interface to the netCDF C library. The module can read and write files in both the netCDF 4 and netCDF 3 formats, and can create files that are readable by HDF5 clients. The API modelled after Scientific.IO.NetCDF, and should be familiar to users of that module.
More about the netcdf4-python project