unyts

I saw the opportunity to use a digraph network to build a units converter able to convert from any units to any units without the need to populate an endless table of possible conversions. Powered by the Breadth First Search, or BFS, algorithm to search through the network, this converter can find conversions from a particular Unit (or ratio of units) to any other Unit (or ratio) as long as a path connecting them exists.
This package is under development and is regularly updated. Back compatibility is intended to be maintained when possible.

What do this package contains:

• It is loaded with a network of units preloaded for distances, area, volume, mass and time conversions defined for SI and Imperial systems according to the definition of each Unit, i.e.: 1_foot = 12_inches.
• Prefixes applied to the basic units, like in SI units k to m to make km, are loaded as a network of conversion paths allowing the algorithm to apply the prefix to any other unit in the same system.
• It provides a class Unit powered with arithmetic and logic operations to intrinsically consider unit conversions when making calculations.

How to use this package:

This package is intended to be used in three ways:

• Calling the function units() to define instances of the Units class, that holds values associated to units, or, quantities.
• As unit converter with the function convert() to explicitly make conversion of numeric variables and instances.
• As unit converter for single numerical values, using the GUI.

To launch the GUI

From an OS terminal or console, execute python -m unyts In the interface, simpy type in the units to convert and the value to be converted and click the convert button or hit Enter key.

To use the units converter function convert():

from unyts import convert
convert(value, from_units, to_units)
where:

• value is a number (int, float, numpy.array, etc)
• from_units is a string defining the units of value (i.e.: 'ft')
• to_units is a string representing the units to convert value (i.e.: 'km')

To create instances of the Unit class using the units() function:

from unyts import units
variable = units(value, units)

• value is a number (int, float, numpy.array, etc)
• units is a string defining the units of value (i.e.: 'ft')

Then simply operate with the Unit instances or the variables related to them:
In: units(6, 'in') + units(1, 'ft')
Out: 18_in

Referring to the Unit class:

from unyts import Unit

• The Unit class is not intended to be used to create Unit instances, but to allow checking if other object isinstance of Unit: i.e.: isinstance(variable, Unit)
• In order to create instances of Unit it is convenient to use the units() function as it will return the appropriate Unit subclass.

Uses examples:

For further examples of use, the following Jupyter notebook unyts_demo intends to be a guide on how to use this converter and units classes.

To install this package:

Install it from the pypi.org repository:
pip install unyts
or upgrade to the latest version:
pip install --upgrade unyts

Optional requisites:

The main functionalities are purely Python powered and does not require any other package to work but, if present, some commonly known packages are used to improve the operability of unyts:

• NumPy to be able to deal with iterables not of nparray type, like (list of values)
• Pandas to be able to recognize Series and DataFrames
• cloudpickle to be able to save internal dictionaries and network to cache file, for faster loading
• openpyxl if willing to export the units network to a pandas DataFrame