Skip to main content

Support for physical quantities with units, based on numpy

Project description

Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. See the tutorial for examples. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Quantities is actively developed, and while the current features and API are stable, test coverage is incomplete so the package is not suggested for mission-critical applications.

pypi version Build status

A Python package for handling physical quantities. The source code and issue tracker are hosted on GitHub:

https://www.github.com/python-quantities/python-quantities

Download

Get the latest version of quantities from https://pypi-hypernode.com/pypi/quantities/

To get the Git version do:

$ git clone git://github.com/python-quantities/python-quantities.git

Documentation and usage

You can find the official documentation at:

http://python-quantities.readthedocs.io/

Here is a simple example:

>>> import quantities as pq
>>> distance = 42*pq.metre
>>> time = 17*pq.second
>>> velocity = distance / time
>>> "%.3f %s" % (velocity.magnitude, velocity.dimensionality)
'2.471 m/s'
>>> velocity + 3
Traceback (most recent call last):
  ...
ValueError: Unable to convert between units of "dimensionless" and "m/s"

Installation

quantities has a hard dependency on the NumPy library. You should install it first, please refer to the NumPy installation guide:

http://docs.scipy.org/doc/numpy/user/install.html

To install quantities itself, then simply run:

$ pip install quantities

Tests

To execute all tests, install pytest:

$ python -m pip install pytest

And run:

$ pytest

in the current directory. The master branch is automatically tested by GitHub Actions.

Author

quantities was originally written by Darren Dale, and has received contributions from many people.

License

Quantities only uses BSD compatible code. See the Open Source Initiative licenses page for details on individual licenses.

See doc/user/license.rst for further details on the license of quantities

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quantities-0.16.1.tar.gz (101.0 kB view details)

Uploaded Source

Built Distribution

quantities-0.16.1-py3-none-any.whl (102.4 kB view details)

Uploaded Python 3

File details

Details for the file quantities-0.16.1.tar.gz.

File metadata

  • Download URL: quantities-0.16.1.tar.gz
  • Upload date:
  • Size: 101.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for quantities-0.16.1.tar.gz
Algorithm Hash digest
SHA256 c9d688e8719720654187a6a83425e7d54f427d7465e03c49f3da53befd20074b
MD5 a77d54b5b252cb6bc0195c46224b7ed1
BLAKE2b-256 e773748df179eaa75415c0daa6d11e80aa3d9d2390c802080df5e4d71c4b6916

See more details on using hashes here.

File details

Details for the file quantities-0.16.1-py3-none-any.whl.

File metadata

  • Download URL: quantities-0.16.1-py3-none-any.whl
  • Upload date:
  • Size: 102.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for quantities-0.16.1-py3-none-any.whl
Algorithm Hash digest
SHA256 247391b91c28c30c5ba1dbf3cfd7912d53ed9120b628398d203083db91ec7144
MD5 ec1adb47ca158cd41a9f30b32334de03
BLAKE2b-256 8232f38ac490fd27933bc2cd9646e8c18b97191950438919a5785f10c18a146c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page