Package for uncertainty analysis in Python
Currently in rewriting phase.
Package for uncertainty analysis in Python.
It was developed while I was doing my Bachelor in physics.
The functionality is based on the lab courses.
Warnings
The function exec is used within some functionalities.
This can cause harm if exploited.
General introduction
The main classes of the package are Data, Table and Formula.
The package holds functionality for:
- Error/Uncertainty propagation in equations
- Create tables and calculate different types of averages including arithmetic, geometric, modus, …
- Normal and simplified gauss propagation of uncertainties
- Regressions including covariant matrices as well as automated chi2 test and residuum plot
- Propagation of units within equations
The Data-class holds a mean value and an error.
Furthermore, can a Data carry a Unit.
The basic arithmetic methods including *, /, +, - are implemented.
Using these the error is propagated using simplified gauss.
For a normal propagation use a