{ "info": { "author": "Matthew Rankin", "author_email": "matthew@questrail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "siganalysis\n===========\n\n|PyPi Version| |Build Status| |Coverage Status| |License Badge|\n\nPython (2.7+/3.4+) routines for analyzing signals. Some of the functions\ninclude:\n\n- Calculating `Short-Time Fourier\n Transform `__\n- Smoothing a signal\n- Plotting an STFT's spectrogram\n- Calculating the peak hold of an STFT in the freq domain\n- Plotting the peak hold of an STFT\n\nThe above functions are handy when analyzing signals recorded in the\ntime domain, such as using a TEAC LX-10 data recorder, and seeing the\nfrequency spectrum. This is useful for Electromagnetic Compatibility\n(EMC) analyses.\n\nInstallation\n------------\n\nYou can install\n`siganalysis `__ either via\nthe Python Package Index (PyPI) or from source.\n\nTo install using pip:\n\n.. code:: bash\n\n $ pip install siganalysis\n\n**Source:** https://github.com/questrail/siganalysis\n\nRequirements\n------------\n\n`siganalysis `__ requires the\nfollowing Python packages:\n\n- `numpy `__\n- `scipy `__\n- `matplotlib `__\n\nContributing\n------------\n\n`siganalysis `__ is developed\nusing `Scott Chacon `__'s `GitHub\nFlow `__. To\ncontribute, fork\n`siganalysis `__, create a\nfeature branch, and then submit a pull request. `GitHub\nFlow `__ is\nsummarized as:\n\n- Anything in the ``master`` branch is deployable\n- To work on something new, create a descriptively named branch off of\n ``master`` (e.g., ``new-oauth2-scopes``)\n- Commit to that branch locally and regularly push your work to the\n same named branch on the server\n- When you need feedback or help, or you think the branch is ready for\n merging, open a `pull\n request `__.\n- After someone else has reviewed and signed off on the feature, you\n can merge it into master.\n- Once it is merged and pushed to ``master``, you can and *should*\n deploy immediately.\n\nRunning the Tests\n~~~~~~~~~~~~~~~~~\n\n`siganalysis `__ has been\ntested against Python 2.7 and Python 3.4. While\n`siganalysis `__ may work with\nother versions of Python, it hasn't been tested with anything else at\nthis time. Assuming you have\n`virtualenv `__ and\n`virtualenvwrapper `__\ninstalled, you can run the following commands to clone the GitHub\nrepository, create a virtualenv, and run the unit tests:\n\n.. code:: bash\n\n $ git clone https://github.com/questrail/siganalysis.git\n $ cd siganalysis\n $ mkvirtualenv siganalysis\n $ pip install -r requirements.txt\n $ nosetests\n\nLicense\n-------\n\n`siganalysis `__ is released\nunder the MIT license. 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