Skip to main content

No project description provided

Project description

# pydvma

A Python package for dynamics and vibration measurements and analysis.

## About pydvma

This is a modular library for data-measurement and analysis in the context of dynamics and vibration, for use in student laboratory experiments as well as for research projects, developed at Cambridge University Engineering Department.

A high-level interface allows straightforward application for common use-cases and a low-level interface provides more control when needed.

The aim is for a library that is simple to use and simple to maintain. It is not a full-featured GUI, but when used in conjunction with Jupyter Notebooks it is intended to provide the best of both worlds: interactive tools for specific tasks and command line interface for customisation.

## Getting started

### Dependencies

The logger requires Python 3.6 to work with soundcard acquisition.

On Windows:

` conda env create -f logger_env.yml `

On Mac OS X: install PortAudio. If you use Homebrew, just run this: `shell $ brew install portaudio ` On Linux: TBC

### Installing pydvma

Install using: ` pip install pydvma --upgrade `

Or clone this repository and install using:

` python setup.py install `

To get started, open the file:

` Logger_template.ipynb `

or within a Jupyter Notebook or Python command line:

`python import pydvma as dvma settings = dvma.MySettings() osc = dvma.Oscilloscope(settings) `

## Roadmap

At present the library has basic functionality for:

  • logging data using sound cards

  • logging data using National Instrument DAQs (requires NiDAQmx to be installed from NI, windows only)

  • computing frequency domain data

  • computing transfer function data

  • saving and plotting data

  • simply interactive analysis tools

The plan is to include the following functionality:

  • computing and viewing sonograms / spectrograms (time-frequency plots)

  • modal analysis tools (e.g. circle fitting)

  • extend the range of hardware that can be accessed from this library

## Contributer guidelines

Contributions to this project are welcomed, keeping in mind the project aims above:

  • If you find a bug, please report using GitHub’s issue tracker

  • For bug-fixes and refinements: please feel free to clone the repository, make edits and create a pull request with a clear description of changes made.

  • If you would like to make a more significant contribution or change, then please be in contact to outline your suggestion.

Please see the documentation for details of the code structure and templates for anticipated applications.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydvma-0.5.1.tar.gz (36.6 kB view details)

Uploaded Source

File details

Details for the file pydvma-0.5.1.tar.gz.

File metadata

  • Download URL: pydvma-0.5.1.tar.gz
  • Upload date:
  • Size: 36.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for pydvma-0.5.1.tar.gz
Algorithm Hash digest
SHA256 62869c2a5f31a3ca3e0c0defc1babce018435b5019cc0e188834462a9742e9d8
MD5 7e03829cc8e09015694b28f22c6c414e
BLAKE2b-256 039de48465f0828cfcd004e14f598e1b871d1595d421ff593cc53d8de8941e6a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page