Skip to main content

Manipulate physical quantities in Python

Project description

physipy

This python package allows you to manipulate physical quantities, basically considering in the association of a value (scalar, numpy.ndarray and more) and a physical unit (like meter or joule).

>>> from physipy.quickstart import nm, hp, c, J
>>> E_ph = hp * c / (500 * nm)
>>> print(E_ph)
3.9728916483435158e-19 kg*m**2/s**2
>>> E_ph.favunit = J
>>> print(E_ph)
3.9728916483435158e-19 J

For a quickstart, check the quickstart notebook on the homepage

Installation

pip install physipy

Goals

  • Few LOC
  • Simple architecture, with only 2 classes (namely Dimension and Quantity)
  • High numpy compatibility
  • Human-readable syntax (fast syntax !)

Use case

  • Define scalar and arrays of physical quantities
  • Compute operation between them : add, sub, mul, div, pow, and so on
  • Display physical quantities in various “units”

Implementation approach

The implementation is pretty simple :

  • a Dimension object represents a physical dimension. For now, these dimension are based on the SI unit. It is basically a dictionary where the keys represent the base dimensions, and the values are the exponent these dimensions.
  • a Quantity object is simply the association of a value, scalar or array (or more!), and a Dimension object. Note that this Quantity classe does not sub-class numpy.ndarray (although Quantity objects are compatible with numpy's ufuncs). Most of the work is done by this class.
  • By default, a Quantity is displayed in term of SI untis. To express a Quantity in another unit, just set the "favunit", which stands for "favourite unit" of the Quantity : my_toe_length.favunit = mm.
  • Plenty of common units (ex : Watt) and constants (ex : speed of light) are packed in. Your physical quantities (my_toe_length), units (kg), and constants (kB) are all Quantity objects.

Alternative packages

There are plenty of python packages that handle physical quantities computation. Some of them are full packages while some are just plain python module. Here is a list of those I could find (approximately sorted by guessed-popularity) :

If you know another package that is not in this list yet, feel free to contribute ! Also, if you are interested in the subject of physical quantities packages in python, check this quantities-comparison repo and this talk.

Future

Here are some functionnality/fixes/TODOs for down the road :

  • Add a list of main functionnalities of the package
  • Improve the README
  • Create a full benchmark based on an expected behaviour, and bench physical quantities packages.
  • Improve numpy compatibility
  • Add uncertainty support
  • Allow changing base unit system (cgs, Planck units, etc)

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgment

Thumbs up to phicem and his pysics package, on which this package was highly inspired. Check it out !

Project details


Download files

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

Files for physipy, version 0.2.0
Filename, size File type Python version Upload date Hashes
Filename, size physipy-0.2.0-py3-none-any.whl (33.0 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size physipy-0.2.0.tar.gz (30.0 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page