hep-spt 0.0.0.dev5

Main points

• Functions needed on day-to-day work, like calculating errors, residuals, etc.

• Classes to create adaptive binned histograms, and some functions to represent them using matplotlib.

• Statistical functions to work with Bayesian/Frequentist approaches.

• Utilities to handle poissonian and/or weighted histograms.

• Simple classes to work with the CLs method.

• A set of matplotlib styles.

Considerations:

• Inputs passed to the functions and classes are usually preferred as numpy.ndarray objects.

• Plotting functions and classes are designed to work with matplotlib.

• Statistical tools are built on top of the standard scipy package.

Installation:

This package is available on PyPi, so simply type

pip install hep-spt

to install the package in your current python environment. Since this package uses the Numpy C API, it is necessary to have Numpy already installed. If you attempt to install “hep_spt” with no installation of Numpy, an error will be raised. To use the latest development version, clone the repository and install with pip:

git clone https://github.com/mramospe/hep_spt.git
pip install hep_spt