1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
|
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 3.6+ with no other dependency.
If you need Python 2.7 or 3.4/3.5 compatibility, use Pint 0.9.
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
<Quantity(3.04, 'meter')>
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
<Quantity([ 3.04 4.03], 'meter')>
>>> np.sum(_)
<Quantity(7.07, 'meter')>
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/
GUI Website
-----------
This [website](www.dimensionalanalysis.org) wraps Pint's "dimensional analysis" methods to provide a GUI.
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 programed
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 simple and
easy to edit text file. 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 latex and pretty
formatting.
- Small codebase: small and easy to maintain with a flat hierarchy.
- Dependency free: it depends only on Python and its standard library.
- Advanced NumPy support: While NumPy is not a requirement for Pint,
when available ndarray methods and ufuncs can be used in Quantity objects.
|
