pint

Operate and manipulate physical quantities in Python

https://github.com/hgrecco/pint

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    23 of 228 committers (10.1%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.5%) to scientific vocabulary

Keywords

python science units

Keywords from Contributors

closember alignment flexible gtk qt tk wx ipython notebook repl
Last synced: 6 months ago · JSON representation

Repository

Operate and manipulate physical quantities in Python

Basic Info
Statistics
  • Stars: 2,619
  • Watchers: 46
  • Forks: 485
  • Open Issues: 305
  • Releases: 0
Topics
python science units
Created over 13 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog License Authors

README.rst

.. image:: https://img.shields.io/pypi/v/pint.svg
    :target: https://pypi.python.org/pypi/pint
    :alt: Latest Version

.. image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json
    :target: https://github.com/astral-sh/ruff
    :alt: Ruff

.. image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/format.json
    :target: https://github.com/astral-sh/ruff
    :alt: Ruff-Format

.. image:: https://readthedocs.org/projects/pint/badge/
    :target: https://pint.readthedocs.org/
    :alt: Documentation

.. image:: https://img.shields.io/pypi/l/pint.svg
    :target: https://pypi.python.org/pypi/pint
    :alt: License

.. image:: https://img.shields.io/pypi/pyversions/pint.svg
    :target: https://pypi.python.org/pypi/pint
    :alt: Python Versions

.. image:: https://github.com/hgrecco/pint/workflows/CI/badge.svg
    :target: https://github.com/hgrecco/pint/actions?query=workflow%3ACI
    :alt: CI

.. image:: https://github.com/hgrecco/pint/workflows/Lint/badge.svg
    :target: https://github.com/hgrecco/pint/actions?query=workflow%3ALint
    :alt: LINTER

.. image:: https://coveralls.io/repos/github/hgrecco/pint/badge.svg?branch=master
    :target: https://coveralls.io/github/hgrecco/pint?branch=master
    :alt: Coverage


Pint: makes units easy
======================

Pint is a Python package to define, operate and manipulate physical
quantities: the product of a numerical value and a unit of measurement.
It allows arithmetic operations between them and conversions from and
to different units.

It is distributed with a comprehensive list of physical units, prefixes
and constants. Due to its modular design, you can extend (or even rewrite!)
the complete list without changing the source code. It supports a lot of
numpy mathematical operations **without monkey patching or wrapping numpy**.

It has a complete test coverage. It runs in Python 3.9+ with no other dependency.
It is licensed under BSD.

It is extremely easy and natural to use:

.. code-block:: python

    >>> import pint
    >>> ureg = pint.UnitRegistry()
    >>> 3 * ureg.meter + 4 * ureg.cm
    

and you can make good use of numpy if you want:

.. code-block:: python

    >>> import numpy as np
    >>> [3, 4] * ureg.meter + [4, 3] * ureg.cm
    
    >>> np.sum(_)
    


Quick Installation
------------------

To install Pint, simply:

.. code-block:: bash

    $ pip install pint

or utilizing conda, with the conda-forge channel:

.. code-block:: bash

    $ conda install -c conda-forge pint

and then simply enjoy it!


Documentation
-------------

Full documentation is available at http://pint.readthedocs.org/


Command-line converter
----------------------

A command-line script `pint-convert` provides a quick way to convert between
units or get conversion factors.


Design principles
-----------------

Although there are already a few very good Python packages to handle physical
quantities, no one was really fitting my needs. Like most developers, I
programmed Pint to scratch my own itches.

**Unit parsing**: prefixed and pluralized forms of units are recognized without
explicitly defining them. In other words: as the prefix *kilo* and the unit
*meter* are defined, Pint understands *kilometers*. This results in a much
shorter and maintainable unit definition list as compared to other packages.

**Standalone unit definitions**: units definitions are loaded from a text file
which is simple and easy to edit. Adding and changing units and their
definitions does not involve changing the code.

**Advanced string formatting**: a quantity can be formatted into string using
`PEP 3101`_ syntax. Extended conversion flags are given to provide symbolic,
LaTeX and pretty formatting. Unit name translation is available if Babel_ is
installed.

**Free to choose the numerical type**: You can use any numerical type
(`fraction`, `float`, `decimal`, `numpy.ndarray`, etc). NumPy_ is not required
but supported.

**Awesome NumPy integration**: When you choose to use a NumPy_ ndarray, its methods and
ufuncs are supported including automatic conversion of units. For example
`numpy.arccos(q)` will require a dimensionless `q` and the units of the output
quantity will be radian.

**Uncertainties integration**:  transparently handles calculations with
quantities with uncertainties (like 3.14±0.01 meter) via the `uncertainties
package`_.

**Handle temperature**: conversion between units with different reference
points, like positions on a map or absolute temperature scales.

**Dependency free**: it depends only on Python and its standard library. It interacts with other packages
like numpy and uncertainties if they are installed

**Pandas integration**: Thanks to `Pandas Extension Types`_ it is now possible to use Pint with Pandas. Operations on DataFrames and between columns are units aware, providing even more convenience for users of Pandas DataFrames. For full details, see the `pint-pandas Jupyter notebook`_.


Pint is maintained by a community of scientists, programmers and enthusiasts around the world.
See AUTHORS_ for a complete list.

To review an ordered list of notable changes for each version of a project,
see CHANGES_


.. _Website: http://www.dimensionalanalysis.org/
.. _`comprehensive list of physical units, prefixes and constants`: https://github.com/hgrecco/pint/blob/master/pint/default_en.txt
.. _`uncertainties package`: https://pythonhosted.org/uncertainties/
.. _`NumPy`: http://www.numpy.org/
.. _`PEP 3101`: https://www.python.org/dev/peps/pep-3101/
.. _`Babel`: http://babel.pocoo.org/
.. _`Pandas Extension Types`: https://pandas.pydata.org/pandas-docs/stable/development/extending.html#extension-types
.. _`pint-pandas Jupyter notebook`: https://github.com/hgrecco/pint-pandas/blob/master/notebooks/pint-pandas.ipynb
.. _`AUTHORS`: https://github.com/hgrecco/pint/blob/master/AUTHORS
.. _`CHANGES`: https://github.com/hgrecco/pint/blob/master/CHANGES

Owner

  • Name: Hernan Grecco
  • Login: hgrecco
  • Kind: user

GitHub Events

Total
  • Issues event: 113
  • Watch event: 215
  • Delete event: 2
  • Issue comment event: 335
  • Push event: 65
  • Pull request review event: 24
  • Pull request review comment event: 23
  • Pull request event: 91
  • Fork event: 31
  • Create event: 6
Last Year
  • Issues event: 113
  • Watch event: 215
  • Delete event: 2
  • Issue comment event: 335
  • Push event: 65
  • Pull request review event: 24
  • Pull request review comment event: 23
  • Pull request event: 91
  • Fork event: 31
  • Create event: 6

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 2,241
  • Total Committers: 228
  • Avg Commits per committer: 9.829
  • Development Distribution Score (DDS): 0.573
Past Year
  • Commits: 119
  • Committers: 34
  • Avg Commits per committer: 3.5
  • Development Distribution Score (DDS): 0.613
Top Committers
Name Email Commits
Hernan Grecco h****o@g****m 956
Keewis k****s@p****e 208
Guido Imperiale c****y@g****m 116
andrewgsavage a****e@g****m 75
Jules Chéron j****n@g****m 65
Jon Thielen g****b@j****c 62
David Linke d****o 41
5igno s****x@g****m 31
Guido Imperiale g****e@a****m 29
Clark Willison c****n@g****m 27
Michael Tiemann 7****C 25
Martin Teichmann m****n@x****u 20
github-actions[bot] g****] 18
Ryan May r****y@u****u 16
Jim Turner j****4@g****m 15
Jellby j****y@y****m 13
Ryan Dwyer r****r@g****m 12
Carlos Pascual c****l@c****s 10
Giel van Schijndel me@m****u 10
Jonathan Wheeler j****r@g****m 10
Juan Nunez-Iglesias j****s@m****u 10
Russell Manser r****r@t****u 10
Emilien Kofman e****n@g****m 9
Giuseppe Corbelli c****e@m****t 9
loganthomas l****5@g****m 8
Ryan Kingsbury R****y@a****u 8
Tom Ritchford t****m@s****m 8
Porcelain Mouse p****b@n****m 8
Constantine Evans c****t@c****u 8
Hugo h****k 8
and 198 more...

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 331
  • Total pull requests: 286
  • Average time to close issues: over 1 year
  • Average time to close pull requests: 4 months
  • Total issue authors: 238
  • Total pull request authors: 92
  • Average comments per issue: 2.78
  • Average comments per pull request: 2.4
  • Merged pull requests: 164
  • Bot issues: 0
  • Bot pull requests: 2
Past Year
  • Issues: 79
  • Pull requests: 91
  • Average time to close issues: 12 days
  • Average time to close pull requests: 10 days
  • Issue authors: 63
  • Pull request authors: 26
  • Average comments per issue: 0.9
  • Average comments per pull request: 1.18
  • Merged pull requests: 51
  • Bot issues: 0
  • Bot pull requests: 1
Top Authors
Issue Authors
  • andrewgsavage (17)
  • hgrecco (10)
  • doronbehar (6)
  • jules-ch (6)
  • PlasmaHH (4)
  • mgab (4)
  • rufuswilson (3)
  • lafrech (3)
  • mmarras (3)
  • mhechthz (3)
  • aulemahal (3)
  • LecrisUT (3)
  • nmadura (3)
  • lucascolley (3)
  • nneskildsf (3)
Pull Request Authors
  • andrewgsavage (79)
  • hgrecco (14)
  • keewis (10)
  • nneskildsf (8)
  • jules-ch (8)
  • maurosilber (6)
  • dalito (5)
  • MichaelTiemannOSC (5)
  • dopplershift (5)
  • daspk04 (4)
  • simonw (4)
  • denialhaag (4)
  • em1208 (4)
  • mattwthompson (3)
  • Saelyos (3)
Top Labels
Issue Labels
bug (12) formatting (8) typing (8) enhancement (6) docs (5) performance (4) numpy (4) definitions (3) parser (2) usability (2) good first issue (2) Roadmap (1) depreciate (1)
Pull Request Labels
In progress (4) numpy (1) docs (1)

Packages

  • Total packages: 4
  • Total downloads:
    • pypi 1,831,261 last-month
  • Total docker downloads: 6,680
  • Total dependent packages: 463
    (may contain duplicates)
  • Total dependent repositories: 1,069
    (may contain duplicates)
  • Total versions: 97
  • Total maintainers: 3
pypi.org: pint

Physical quantities module

  • Versions: 58
  • Dependent Packages: 377
  • Dependent Repositories: 949
  • Downloads: 1,831,237 Last month
  • Docker Downloads: 6,680
Rankings
Dependent packages count: 0.1%
Downloads: 0.4%
Dependent repos count: 0.4%
Average: 1.1%
Stargazers count: 1.5%
Docker downloads count: 1.7%
Forks count: 2.5%
Maintainers (1)
Last synced: 6 months ago
conda-forge.org: pint

Pint is a Python package to define, operate and manipulate physical quantities: the product of a numerical value and a unit of measurement. It allows arithmetic operations between them and conversions from and to different units. It is distributed with a comprehensive list of physical units, prefixes and constants. Due to its modular design, you can extend (or even rewrite!) the complete list without changing the source code. It supports a lot of numpy mathematical operations without monkey patching or wrapping numpy.

  • Versions: 22
  • Dependent Packages: 83
  • Dependent Repositories: 119
Rankings
Dependent packages count: 0.9%
Dependent repos count: 3.1%
Average: 5.3%
Forks count: 8.2%
Stargazers count: 9.0%
Last synced: 6 months ago
spack.io: py-pint

Pint is a Python package to define, operate and manipulate physical quantities: the product of a numerical value and a unit of measurement. It allows arithmetic operations between them and conversions from and to different units.

  • Versions: 12
  • Dependent Packages: 3
  • Dependent Repositories: 0
Rankings
Dependent repos count: 0.0%
Average: 14.0%
Dependent packages count: 28.1%
Maintainers (1)
Last synced: 6 months ago
pypi.org: pint-mtools

Physical quantities module (modified for unitdoc)

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 24 Last month
Rankings
Stargazers count: 1.6%
Forks count: 2.5%
Dependent packages count: 10.1%
Average: 14.6%
Dependent repos count: 21.6%
Downloads: 37.3%
Maintainers (1)
Last synced: 6 months ago

Dependencies

.github/workflows/ci.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/docs.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/lint-autoupdate.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • technote-space/create-pr-action bfd4392c80dbeb54e0bacbcf4750540aecae6ed4 composite
.github/workflows/lint.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • pre-commit/action v2.0.0 composite
requirements_docs.txt pypi
  • Serialize *
  • dask *
  • graphviz *
  • ipykernel *
  • ipython *
  • jupyter_client *
  • matplotlib *
  • nbsphinx *
  • numpy *
  • pooch *
  • pygments >=2.4
  • pytest *
  • setuptools >=41.2
  • sparse *
  • sphinx >4
  • sphinx-book-theme ==0.3.3
  • sphinx_copybutton *
  • sphinx_design *
  • xarray *
.github/workflows/publish.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • pypa/gh-action-pypi-publish release/v1 composite
requirements.txt pypi
  • appdirs >=1.4.4
  • flexcache >=0.3
  • flexparser >=0.3
  • typing_extensions *
.github/workflows/bench.yml actions
  • CodSpeedHQ/action v1 composite
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
pyproject.toml pypi