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OpyNDATA toolbox for import and postprocessing of measurement data

Project description

opyndata logo

What is opyndata?

OpyNDATA is a package supporting the open data from measurement projects at the Structural Dynamics group at Department of Structural Engineering, NTNU.

Installation

Either install via PyPI as follows:

pip install opyndata

or install directly from github:

pip install git+https://www.github.com/knutankv/opyndata.git@main

Quick start

Import the relevant package modules, exemplified for the data_import module, as follows:

from opyndata import data_import

This code snippet imports h5 file into data object:

import h5py

file_name = 'data_2Hz.h5'
rec_name = 'NTNU142M-2016-12-26_22-33-33'
hf = h5py.File(fname, 'r')[rec_name]

To establish graphical visualization of data set, the following code can be run:

from opyndata import visualization

data_path = 'C:/Users/knutankv/BergsoysundData/data_10Hz.h5'
app_setup = visualization.AppSetup(data_path=data_path)
app = app_setup.create_app()

server = app.server

if __name__ == '__main__':
    app.run_server(debug=False)

The result can be viewed by opening https://127.0.0.1:8050 in a web browser (port 8050 is default, but others can be requested in the call of the run_server method of app).

For full code reference visit knutankv.github.io/opyndata.

Examples

Examples are provided as Jupyter Notebooks in the examples folder.

Open data

For an overview of available open measurement data from us, visit https://www.ntnu.edu/kt/open-data

Citation

Cite as: Knut Andreas Kvåle. (2022). knutankv/opyndata: Initial release, available on Zenodo (v0.0.2). Zenodo. https://doi.org/10.5281/zenodo.5978358

DOI

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