Pint is maintained by a community of scientists, programmers and enthusiasts around the world. Pro Parsing Unit Millumin Free Unit Converter Free Unit Converter is small, fast, useful, practical, and powerful. For full details, see the pint-pandas Jupyter notebook. Operations on DataFrames and between columns are units aware, providing even more convenience for users of Pandas DataFrames. Pandas integration: Thanks to Pandas Extension Types it is now possible to use Pint with Pandas. Like numpy and uncertainties if they are installed Points, like positions on a map or absolute temperature scales.ĭependency free: it depends only on Python and its standard library. Handle temperature: conversion between units with different reference Quantities with uncertainties (like 3.14☐.01 meter) via the uncertainties Uncertainties integration: transparently handles calculations with Numpy.arccos(q) will require a dimensionless q and the units of the output Ufuncs are supported including automatic conversion of units. NumPy is not requiredĪwesome NumPy integration: When you choose to use a NumPy ndarray, its methods and ( fraction, float, decimal, numpy.ndarray, etc). Unit name translation is available if Babel isįree to choose the numerical type: You can use any numerical type Extended conversion flags are given to provide symbolic, Since we will be using the pytest framework, you also need to install it: conda install pytest We'll be running Python 3.6.4, Spyder 3.2.6, spyder-unittest 0.3.0 and pytest 3.3.2 for this example. Adding and changing units and theirĭefinitions does not involve changing the code.Īdvanced string formatting: a quantity can be formatted into string using The -c option instructs conda to use the custom channel spyder-ide run by the Spyder developers, since the plugin isn't part of the default channel. Standalone unit definitions: units definitions are loaded from a text file Shorter and maintainable unit definition list as compared to other packages. Meter are defined, Pint understands kilometers. In other words: as the prefix kilo and the unit Unit parsing: prefixed and pluralized forms of units are recognized withoutĮxplicitly defining them. Programmed Pint to scratch my own itches. Quantities, no one was really fitting my needs. NET service is only available in Japanese language. Design principlesĪlthough there are already a few very good Python packages to handle physical This also includes multimedia activities with Atari Studios, and Licensing. Or utilizing conda, with the conda-forge channel: $ conda install -c conda-forge pintįull documentation is available at Command-line converterĪ command-line script pint-convert provides a quick way to convert between To install Pint, simply: $ pip install pint cm Īnd you can make good use of numpy if you want: > import numpy as np > * ureg. It is extremely easy and natural to use: > import pint > ureg = pint. It runs in Python 3.8+ with no other dependency. Numpy mathematical operations without monkey patching or wrapping numpy. The complete list without changing the source code. Due to its modular design, you can extend (or even rewrite!) It is distributed with a comprehensive list of physical units, prefixesĪnd constants. It allows arithmetic operations between them and conversions from and Quantities: the product of a numerical value and a unit of measurement. Pint is a Python package to define, operate and manipulate physical
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