https://github.com/castelao/gsw-python

Python implementation of TEOS-10 GSW based on ufunc wrappers of GSW-C

https://github.com/castelao/gsw-python

Repository

Python implementation of TEOS-10 GSW based on ufunc wrappers of GSW-C

https://github.com/castelao/GSW-Python/blob/master/

# gsw Python package

![https://travis-ci.org/TEOS-10/GSW-Python](https://travis-ci.org/TEOS-10/GSW-Python.svg?branch=master) ![https://conda.anaconda.org/conda-forge](https://anaconda.org/conda-forge/gsw/badges/installer/conda.svg) [![DOI](https://zenodo.org/badge/86503067.svg)](https://zenodo.org/badge/latestdoi/86503067)


This Python implementation of the Thermodynamic Equation of
Seawater 2010 (TEOS-10) is based primarily on numpy ufunc wrappers of
the GSW-C implementation.  We expect it to replace the original
[python-gsw](https://github.com/TEOS-10/python-gsw)
pure-python implementation after a brief overlap period.
The primary reasons for this change are that by building on the
C implementation we reduce code duplication and we gain an immediate
update to the 75-term equation.  Additional benefits include a
major increase in speed, a reduction in memory usage, and the
inclusion of more functions.  The penalty is that a C (or MSVC C++ for
Windows) compiler is required to build the package from source.

**Warning: this is for Python >=3.5 only.**

Documentation is provided at https://teos-10.github.io/GSW-Python/.

For the core functionality, we use an auto-generated C extension
module to wrap the C functions as numpy
[ufuncs](https://docs.scipy.org/doc/numpy/reference/ufuncs.html),
and then use an
autogenerated Python module to add docstrings and handle masked
arrays.  165 scalar C functions with only double-precision
arguments and return values are wrapped as ufuncs, and 158 of
these are exposed in the ``gsw`` namespace with an additional
wrapper in Python.

A hand-written wrapper is used for one C function, and others
are re-implemented directly in Python instead of being wrapped.
Additional functions present in GSW-Matlab but not in GSW-C may
be re-implemented in Python, but there is no expectation that
all such functions will be provided.

The package can be installed from a clone of the repo using
``pip install .``.  It is neither necessary nor recommended
to run the code generators, and no instructions are provided
for them; their output is
included in the repo.  You will need a suitable compiler: gcc or
clang for unix-like systems, or the MSVC compiler set used for Python
itself on Windows.  For Windows, some of the source code has been
modified to C++ because the MSVC C compiler does not support the
C99 complex data type used in original GSW-C.

To test, after installation, run "pytest" from the source directory.

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