dataUncert
Python package to perform data processing with uncertanties.
Example
We would like to calculate given to measurements
and
both with uncertanties
and
. The value of
is simply computed as
. The uncertanty of
is determined using the following equation
Here is the covariance of the measurements of
and
. We will assumed that this is zero for now. The equation above is evaluated as follows:
Scope of this package
These computations quickly becomes very difficult for more complicated equations than the one used in this example. This packages is designed to easily perform such computations. Furthermore a few features is added to the packages
- Read data with uncertanty from an .xls or .xlsx file
- Print measurements with the correct number of significant digits based on the uncertanty
- Plot data with errorbars
- Perform regression where the regression constants are affected by the uncertanty of the data
Documentation
The documentation is split in to 5 parts:
- 1 variables
- 2 Constants
- 3 Importing data
- 4 Fitting
- 5 Prop
See the folder "docs" for the documentation
How to install
Just run pip install dataUncert
