| Name | gsw JSON |
| Version |
3.6.17
JSON |
| download |
| home_page | |
| Summary | Gibbs Seawater Oceanographic Package of TEOS-10 |
| upload_time | 2023-06-22 17:19:09 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | BSD-3-Clause |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# GSW-Python
[](https://github.com/TEOS-10/GSW-Python/actions/workflows/tests.yml)
[](https://github.com/TEOS-10/GSW-Python/actions/workflows/cibuildwheel.yml)
[](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.
This library replaces the original [python-gsw](https://github.com/TEOS-10/python-gsw) pure-python implementation..
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 >=3.8 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.
## Installation
Pip users can install the pre-built wheels with:
```shell
pip install gsw
```
conda users will find binaries on conda-forge,
```shell
conda install gsw --channel conda-forge
```
The development version of the package can be installed from a clone of the repo using
```shell
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.
## Note for xarray users
A wrapper around gsw called [gsw-xarray](https://github.com/DocOtak/gsw-xarray) exists for xarray.
It adds CF compliant attributes when possible, units, and name.
## Note on generating the docstrings
The autogenerated docstrings are checked with codespell in the CIs.
when autogenerating them we need to run ``pre-commit run --all-files`` and fix the documentation issues found.
Raw data
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"description": "# GSW-Python\n\n[](https://github.com/TEOS-10/GSW-Python/actions/workflows/tests.yml)\n[](https://github.com/TEOS-10/GSW-Python/actions/workflows/cibuildwheel.yml)\n[](https://zenodo.org/badge/latestdoi/86503067)\n\n\nThis Python implementation of the Thermodynamic Equation of Seawater 2010 (TEOS-10) is based primarily on numpy ufunc wrappers of the GSW-C implementation.\nThis library replaces the original [python-gsw](https://github.com/TEOS-10/python-gsw) pure-python implementation..\nThe 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. \nAdditional benefits include a major increase in speed,\na reduction in memory usage,\nand the inclusion of more functions.\nThe penalty is that a C (or MSVC C++ for Windows) compiler is required to build the package from source.\n\n**Warning: this is for Python >=3.8 only.**\n\nDocumentation is provided at https://teos-10.github.io/GSW-Python/.\n\nFor the core functionality, we use an auto-generated C extension\nmodule to wrap the C functions as numpy [ufuncs](https://docs.scipy.org/doc/numpy/reference/ufuncs.html),\nand then use an autogenerated Python module to add docstrings and handle masked arrays.\n165 scalar C functions with only double-precision arguments and return values are wrapped as ufuncs,\nand 158 of these are exposed in the ``gsw`` namespace with an additional wrapper in Python.\n\nA hand-written wrapper is used for one C function, and others are re-implemented directly in Python instead of being wrapped.\nAdditional functions present in GSW-Matlab but not in GSW-C may be re-implemented in Python,\nbut there is no expectation that all such functions will be provided.\n\n## Installation\n\nPip users can install the pre-built wheels with:\n\n```shell\npip install gsw\n```\n\nconda users will find binaries on conda-forge,\n\n```shell\nconda install gsw --channel conda-forge\n```\n\nThe development version of the package can be installed from a clone of the repo using\n\n```shell\npip install .\n```\n\nIt is neither necessary nor recommended to run the code generators,\nand no instructions are provided for them;\ntheir output is included in the repo.\nYou will need a suitable compiler:\ngcc or clang for unix-like systems,\nor the MSVC compiler set used for Python itself on Windows.\nFor Windows, some of the source code has been modified to C++ because the MSVC C compiler does not support the\nC99 complex data type used in original GSW-C.\n\nTo test, after installation, run \"pytest\" from the source directory.\n\n## Note for xarray users\n\nA wrapper around gsw called [gsw-xarray](https://github.com/DocOtak/gsw-xarray) exists for xarray.\nIt adds CF compliant attributes when possible, units, and name.\n\n## Note on generating the docstrings\n\nThe autogenerated docstrings are checked with codespell in the CIs.\nwhen autogenerating them we need to run ``pre-commit run --all-files`` and fix the documentation issues found.\n",
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