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        "author": "Yu Lu",
        "author_email": "yulu@utexas.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "|logo|\n\nSciBeam |Build Status| |codecov| |PyPI version|\n===============================================\n\n**SciBeam** is an open source library for analyzing time series beam\nmeasurement data. Using pandas dataframe and series as its base\nclassing, additional time series related features are added for quick\nanalysis, such as file name matching, gaussian fitting, peak analysis,\nnoise filtering, plotting, etc. The flexible method chain enables fast\ndata analysis on any time series data.\n\nSciBeam is originally designed for experimental physics data analysis.\nThe library has been tested on the daily lab data analysis and is under\nactive development in terms of bredth and deepth of scientific\ncomputation.\n\nInstallation\n============\n\nDependencies\n------------\n\nSciBeam requires:\n\n-  Python( >= 3.4)\n-  Numpy( >= 1.8.2)\n-  Scipy( >= 0.13.3)\n-  pandas ( >= 0.23.0)\n-  matplotlib ( >= 1.5.1)\n-  re\n-  os\n\nUser installation\n-----------------\n\nCurrently only avaliable through downloading from Github, will be\navaliable for installation through pip soon:\n\nUsing PyPI\n~~~~~~~~~~\n\n.. code:: bash\n\n   pip install scibeam  \n\nUsing souce code\n~~~~~~~~~~~~~~~~\n\nDownload the souce code:\n\n.. code:: bash\n\n   git clone https://github.com/SuperYuLu/SciBeam`  \n\nChange to the package directory:\n\n.. code:: bash\n\n   cd scibeam  \n\nInstall the package:\n\n::\n\n   python setup.py install  \n\nRelease\n=======\n\n-  v0.1.0: 08/19/2018 first release !\n\nDevelopment\n===========\n\nUnder active development.\n\nTODO:\n-----\n\n-  Increase test coverage\n-  Add more plotting functions\n-  Add config.py for global configurature\n-  Add AppVeyor\n\nContribute\n----------\n\nComing soon\u2026\n\nTesting\n-------\n\nThe testing part is based on unittest and can be run through setuptools:\n\n.. code:: python\n\n   python setup.py test  \n\nor\n\n.. code:: bash\n\n   make test\n\nStatus\n------\n\nVersion 0.1.0 on `PyPI <https://pypi.org/project/scibeam/>`__\n\n.. |logo| image:: https://raw.githubusercontent.com/SuperYuLu/SciBeam/master/img/logo.png\n   :target: https://github.com/SuperYuLu/SciBeam\n.. |Build Status| image:: https://travis-ci.org/SuperYuLu/SciBeam.svg?branch=master\n   :target: https://travis-ci.org/SuperYuLu/SciBeam\n.. |codecov| image:: https://codecov.io/gh/SuperYuLu/SciBeam/branch/master/graph/badge.svg\n   :target: https://codecov.io/gh/SuperYuLu/SciBeam\n.. |PyPI version| image:: https://badge.fury.io/py/scibeam.svg\n   :target: https://badge.fury.io/py/scibeam\n\n\n",
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        "keywords": "physics time-series data-analysis pandas",
        "license": "LICENSE.txt",
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