Library for scientific time series dat aanalysis and visualization on beam measurement
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.
- Python( >= 3.4)
- Numpy( >= 1.8.2)
- Scipy( >= 0.13.3)
- pandas ( >= 0.23.0)
- matplotlib ( >= 1.5.1)
Currently only avaliable through downloading from Github, will be avaliable for installation through pip soon:
pip install scibeam
Using souce code
Download the souce code:
git clone https://github.com/SuperYuLu/SciBeam`
Change to the package directory:
Install the package:
python setup.py install
- v0.1.0: 08/19/2018 first release !
Under active development.
- Increase test coverage
- Add more plotting functions
- Add config.py for global configurature
- Add AppVeyor
The testing part is based on unittest and can be run through setuptools:
python setup.py test
Version 0.1.0 on PyPI
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|scibeam-0.1.1-py3-none-any.whl (4.1 MB) Copy SHA256 hash SHA256||Wheel||py3|
|scibeam-0.1.1.tar.gz (3.9 MB) Copy SHA256 hash SHA256||Source||None|