scibeam 0.1.1

Library for scientific time series dat aanalysis and visualization on beam measurement

SciBeam

SciBeam is an open source library for analyzing time series beam measurement data. Using pandas dataframe and series as its base classing, additional time series related features are added for quick analysis, such as file name matching, gaussian fitting, peak analysis, noise filtering, plotting, etc. The flexible method chain enables fast data analysis on any time series data.

SciBeam is originally designed for experimental physics data analysis. The library has been tested on the daily lab data analysis and is under active development in terms of bredth and deepth of scientific computation.

Installation

Dependencies

SciBeam requires:

• Python( >= 3.4)

• Numpy( >= 1.8.2)

• Scipy( >= 0.13.3)

• pandas ( >= 0.23.0)

• matplotlib ( >= 1.5.1)

• re

• os

User installation

Currently only avaliable through downloading from Github, will be avaliable for installation through pip soon:

Using PyPI

pip install scibeam

Using souce code

Download the souce code:

git clone https://github.com/SuperYuLu/SciBeam`

Change to the package directory:

cd scibeam

Install the package:

python setup.py install

Release

• v0.1.0: 08/19/2018 first release !

Development

Under active development.

TODO:

• Increase test coverage

• Add more plotting functions

• Add config.py for global configurature

• Add AppVeyor

Contribute

Coming soon…

Testing

The testing part is based on unittest and can be run through setuptools:

python setup.py test

or

make test

Status

Version 0.1.0 on PyPI