Skip to main content

PyCO2SYS

PyPI version DOI Docs Build Status Coverage License: GPL v3 Code style: black

PyCO2SYS is a Python implementation of CO2SYS, based on the MATLAB v2.0.5 but also including the updates made for the forthcoming MATLAB CO2SYS v3 as well as some additional related calculations. PyCO2SYS solves the full marine carbonate system from the values of any two of its parameters.

Every combination of input parameters has been tested, with differences in the results small enough to be attributable to floating point errors and iterative solver endpoint differences (i.e. negligible). See the scripts in validate to see how and check this for yourself, and their discussion in the online docs. Please let us know ASAP if you discover a discrepancy that we have not spotted!

Documentation is available online at PyCO2SYS.readthedocs.io.

There are also some usage examples that you can either download or run live in your web browser (with no Python installation required) at PyCO2SYS-examples.

Citation

The citation for PyCO2SYS alone is:

Humphreys, M. P., Gregor, L., Pierrot, D., van Heuven, S. M. A. C., Lewis, E. R., and Wallace, D. W. R. (2020). PyCO2SYS: marine carbonate system calculations in Python. Zenodo. doi:10.5281/zenodo.3744275.

The DOI above refers to all versions of PyCO2SYS. Please also specify the version number that you used. You can find this in Python with:

import PyCO2SYS as pyco2
pyco2.say_hello()

As per the instructions in the the CO2SYS-MATLAB repo, you should also cite the original work by Lewis and Wallace (1998).

Installation

Install from the Python Package Index:

pip install PyCO2SYS

Update an existing installation:

pip install PyCO2SYS --upgrade --no-cache-dir

Basic use

The default API has been kept as close to the MATLAB version as possible, although the first output is now a dict for convenience. If you want the MATLAB-like experience, simplest recommended usage is therefore:

from PyCO2SYS import CO2SYS
CO2dict = CO2SYS(PAR1, PAR2, PAR1TYPE, PAR2TYPE, SAL, TEMPIN, TEMPOUT, PRESIN, PRESOUT,
    SI, PO4, pHSCALEIN, K1K2CONSTANTS, KSO4CONSTANTS, NH3=0.0, H2S=0.0)

Each field in the output CO2dict corresponds to a column in the original MATLAB output DATA. The keys to the dict come from the original MATLAB output HEADERS. Vector inputs should be provided as Numpy arrays. Everything gets flattened with ravel(). Single-value inputs are fine - they are automatically cast into correctly-sized arrays. The extra inputs not present in the MATLAB version are all optional and explained in the documentation. There are more of these than appear in the example above.

It is also possible to provide Pandas Series and Xarray DataArrays using the wrapper functions provided. For this and a more detailed explanation of all the inputs and outputs, see the Pythonic API documentation.

You can also look at the example scripts here in the repo, or there are also some examples as Jupyter Notebooks that you can try out without needing to install anything on your computer.

About

PyCO2SYS is maintained by Dr Matthew Humphreys of the NIOZ (Royal Netherlands Institute for Sea Research) with support from the main developers of all previous versions of CO2SYS.

Contributions are welcome; please check the guidelines before setting to work.

License

PyCO2SYS is licensed under the GNU General Public License version 3 (GPLv3).

Metadata

Release files for PyCO2SYS 1.4.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PyCO2SYS 1.4.3
File Size Uploaded
PyCO2SYS-1.4.3.tar.gz 80.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for PyCO2SYS 1.4.3
File Interpreter ABI Platform
PyCO2SYS-1.4.3-py3-none-any.whl Python 3 none any Details

Total release size: 181.8 kB

Release files / PyCO2SYS-1.4.3.tar.gz

Download URL PyCO2SYS-1.4.3.tar.gz
Size 80.2 kB
Tags Source
SHA-256 checksum
How to use checksums
6e3ddf6311b37b541f5bcf19202a38db067a3a733a00da5d533242b9d786f75e
BLAKE2b-256 checksum
How to use checksums
54a85e91a10a73d6d29e14ead51271e2e48e112d991ec7a0d16380a6af499c12
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1.post20200622 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3

Release files / PyCO2SYS-1.4.3-py3-none-any.whl

Download URL PyCO2SYS-1.4.3-py3-none-any.whl
Size 101.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
29291322959d541ea42ae43d10cd1683088b59aa549199d4dd613e9d80905b58
BLAKE2b-256 checksum
How to use checksums
2ee9fd3ccf18419a8595374416d524fc0d22e2c6f18054cdece5f7f4ee2bbf7d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1.post20200622 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page