pyFRF


NamepyFRF JSON
Version 1.1 PyPI version JSON
download
home_pagehttps://github.com/ladisk/pyFRF
SummaryFrequency response function as used in structural dynamics.
upload_time2023-10-03 18:38:21
maintainer
docs_urlNone
authorJanko Slavič, Luka Novak, Martin Česnik, et al.
requires_python
license
keywords frf mimo simo ods
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            pyFRF
=====

Frequency response function as used in structural dynamics.
-----------------------------------------------------------
For more information check out the showcase examples and see documentation_.

Basic ``pyFRF`` usage:
----------------------

Make an instance of ``FRF`` class:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

    a = pyFRF.FRF(
        sampling_freq,
        exc=None,
        resp=None,
        exc_type='f', resp_type='a',
        window='none',
        weighting='linear',
        fft_len=None,
        nperseg=None,
        noverlap=None,
        archive_time_data=False,
        frf_type='H1',
        copy=True
    )

Adding data:
~~~~~~~~~~~~
We can add the excitation and response data at the beginning through ``exc`` and ``resp`` arguments, otherwise, the excitation and response 
data can be added later via ``add_data()`` method:

.. code:: python

    a.add_data(exc, resp)

Computing FRF:
~~~~~~~~~~~~~~
Preferable way to get the frequency response functions is via ``get_FRF()`` method:

.. code:: python

    frf = a.get_FRF(type="default", form="receptance")

We can also directly get the requested FRF via other methods: ``get_H1()``, ``get_H2()``, ``get_Hv()`` and, ``get_ods_frf()``:

.. code:: python

    H1 = a.get_H1()
    H2 = a.get_H2()
    Hv = a.get_Hv()
    ods_frf = a.get_ods_frf()

.. _documentation: https://pyfrf.readthedocs.io/en/latest/

|pytest|

|binder| to test the *Showcase.ipynb*.

.. |binder| image:: https://mybinder.org/badge_logo.svg
   :target: https://mybinder.org/v2/gh/ladisk/pyFRF/main
.. |pytest| image:: https://github.com/ladisk/pyFRF/actions/workflows/python-package.yml/badge.svg
    :target: https://github.com/ladisk/pyFRF/actions

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/ladisk/pyFRF",
    "name": "pyFRF",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "FRF,MIMO,SIMO,ODS",
    "author": "Janko Slavi\u010d, Luka Novak, Martin \u010cesnik, et al.",
    "author_email": "janko.slavic@fs.uni-lj.si",
    "download_url": "https://files.pythonhosted.org/packages/1c/c1/10dbb9beb2245e174aa051ad92d821ec936e56fd8b6243dc74ea0370498d/pyFRF-1.1.tar.gz",
    "platform": null,
    "description": "pyFRF\n=====\n\nFrequency response function as used in structural dynamics.\n-----------------------------------------------------------\nFor more information check out the showcase examples and see documentation_.\n\nBasic ``pyFRF`` usage:\n----------------------\n\nMake an instance of ``FRF`` class:\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    a = pyFRF.FRF(\n        sampling_freq,\n        exc=None,\n        resp=None,\n        exc_type='f', resp_type='a',\n        window='none',\n        weighting='linear',\n        fft_len=None,\n        nperseg=None,\n        noverlap=None,\n        archive_time_data=False,\n        frf_type='H1',\n        copy=True\n    )\n\nAdding data:\n~~~~~~~~~~~~\nWe can add the excitation and response data at the beginning through ``exc`` and ``resp`` arguments, otherwise, the excitation and response \ndata can be added later via ``add_data()`` method:\n\n.. code:: python\n\n    a.add_data(exc, resp)\n\nComputing FRF:\n~~~~~~~~~~~~~~\nPreferable way to get the frequency response functions is via ``get_FRF()`` method:\n\n.. code:: python\n\n    frf = a.get_FRF(type=\"default\", form=\"receptance\")\n\nWe can also directly get the requested FRF via other methods: ``get_H1()``, ``get_H2()``, ``get_Hv()`` and, ``get_ods_frf()``:\n\n.. code:: python\n\n    H1 = a.get_H1()\n    H2 = a.get_H2()\n    Hv = a.get_Hv()\n    ods_frf = a.get_ods_frf()\n\n.. _documentation: https://pyfrf.readthedocs.io/en/latest/\n\n|pytest|\n\n|binder| to test the *Showcase.ipynb*.\n\n.. |binder| image:: https://mybinder.org/badge_logo.svg\n   :target: https://mybinder.org/v2/gh/ladisk/pyFRF/main\n.. |pytest| image:: https://github.com/ladisk/pyFRF/actions/workflows/python-package.yml/badge.svg\n    :target: https://github.com/ladisk/pyFRF/actions\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "Frequency response function as used in structural dynamics.",
    "version": "1.1",
    "project_urls": {
        "Homepage": "https://github.com/ladisk/pyFRF"
    },
    "split_keywords": [
        "frf",
        "mimo",
        "simo",
        "ods"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6dde0cdfc30aa047cc458e0a91a79f9a1cc9cb81da2bb5449980e68c9dc5bfea",
                "md5": "7e56ae49ee49c94a970b437e59e10ccd",
                "sha256": "f0b8ca26540d92f6939aa1d282381a0819d54ec059c0379058dcd20da34fc6b5"
            },
            "downloads": -1,
            "filename": "pyFRF-1.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "7e56ae49ee49c94a970b437e59e10ccd",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 13853,
            "upload_time": "2023-10-03T18:38:19",
            "upload_time_iso_8601": "2023-10-03T18:38:19.779902Z",
            "url": "https://files.pythonhosted.org/packages/6d/de/0cdfc30aa047cc458e0a91a79f9a1cc9cb81da2bb5449980e68c9dc5bfea/pyFRF-1.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "1cc110dbb9beb2245e174aa051ad92d821ec936e56fd8b6243dc74ea0370498d",
                "md5": "7df4a7356d911c4666a161dab8ca1ab2",
                "sha256": "0537d1690bc1c63106b167802639b3e894b20771d7e2a90ced61c9ced86d64d1"
            },
            "downloads": -1,
            "filename": "pyFRF-1.1.tar.gz",
            "has_sig": false,
            "md5_digest": "7df4a7356d911c4666a161dab8ca1ab2",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 13655,
            "upload_time": "2023-10-03T18:38:21",
            "upload_time_iso_8601": "2023-10-03T18:38:21.160398Z",
            "url": "https://files.pythonhosted.org/packages/1c/c1/10dbb9beb2245e174aa051ad92d821ec936e56fd8b6243dc74ea0370498d/pyFRF-1.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-10-03 18:38:21",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "ladisk",
    "github_project": "pyFRF",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [],
    "lcname": "pyfrf"
}
        
Elapsed time: 0.12740s