Library for scientific time series dat aanalysis and visualization on beam measurement
Project description
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 scibeamUsing souce code
Download the souce code:
git clone https://github.com/SuperYuLu/SciBeam`Change to the package directory:
cd scibeamInstall 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 testor
make testStatus
Version 0.1.0 on PyPI
Release history Release notifications | RSS feed
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