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https://github.com/hgrecco/pint

Operate and manipulate physical quantities in Python
https://github.com/hgrecco/pint

python science units

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Operate and manipulate physical quantities in Python

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README 

        
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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