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A package for signal processing, modal analysis, and model reduction and model updating

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Joseph C. Slater

Welcome to Vibration Testing.

For more information, please see the documentation for the Python version

Installation

If you aren’t familiar at all with Python, please see Installing Python.

Installation is made easy with pip (or pip3), with releases as we have time while we try to create a full first release. Much of it works already, but I certainly need issue reports (on github) when something is not working as it should.

To install:

pip install --user vibrationtesting

where --user isn’t necessary if you are using a locally installed version of Python such as Anaconda.

To run, I recommend you open a Jupyter notebook by using jupyter notebook and then type:

import vibrationtesting as vt

For examples, see the JupyterNotebooks folder. (In flux- also look in doc/Tutorials for now) Some of these have interactive capabilities that are only apparent when you run them yourself instead of just looking at them on github. Unfortunately our organization of these still leaves a little to be desired.

Installation of current code

The usage documentation is far behind the current code, while the reference is way ahead of the released code due to the autodoc capability of Sphinx. Especially as of 2017, the code is in flux. So is the documentation. Releases to PyPI are far behind current status as stopping to deploy would cost more time that it is worth. I have the objective of releasing a first non-beta version at the end of May 2018, but even this cannot be promised.

If you wish to install the current version of the software, read the instructions in Contributing.rst

That should be it. Please note issues on the issues tab on GitHub.

Quick notes:

The convention used for the signal processing is that of the python controls module.

Metadata

Release files for vibrationtesting 0.24

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

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