tools for dealing with measured quantities: uncertainty propagation and unit conversion
Project description
MetroloPy
tools for dealing with physical quantities: uncertainty propagation and unit conversion
MetroloPy is a pure python package and requires Python 3 and the SciPy stack (NumPy, SciPy, Pandas, and IPython). It looks best in a Jupyter Notebook.
Install MetroloPy with pip:
$ pip install metrolopy
Physical quantities can then be represented in Python as gummy
objects with an uncertainty and (or) a unit:
>>> import metrolopy as uc
>>> a = uc.gummy(1.2345,u=0.0234,unit='cm')
>>> a
1.234(23) cm
>>> b = uc.gummy(3.034,u=0.174,unit='mm')
>>> f = uc.gummy(uc.UniformDist(center=0.9345,half_width=0.096),unit='N')
>>> p = f/(a*b)
>>> p
2.50(21) N/cm2
>>> p.unit = 'kPa'
>>> p.uunit = '%'
>>> p
25.0 kPa ± 8.5%
MetroloPy can do much more including Monte-Carlo uncertainty propagation, generating uncertainty budget tables, and curve fitting. It can also handle expanded uncertainties, degrees of freedom, correlated quantities, and complex valued quantities. See:
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for metrolopy-0.5.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a82da13049e43d44de2951e533b575c9cbb49506ed0d77f7496adf0d7e991a3 |
|
MD5 | ef4bcd6cd3c6c5b51e5ae4a4694ae444 |
|
BLAKE2b-256 | 2c64276b64f84b6f33e6a18e9ca0430b0c4fa3e446412c22feb49cc9086e6dcd |