PeakUtils


NamePeakUtils JSON
Version 1.3.4 PyPI version JSON
download
home_pagehttps://bitbucket.org/lucashnegri/peakutils
SummaryPeak detection utilities for 1D data
upload_time2022-08-05 13:19:15
maintainer
docs_urlNone
authorLucas Hermann Negri
requires_python
licenseMIT
keywords peak detection search gaussian centroid baseline maximum
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            PeakUtils
=========

.. image:: https://zenodo.org/badge/102883046.svg
   :target: https://zenodo.org/badge/latestdoi/102883046

This package provides utilities related to the detection of peaks on 1D data.
Includes functions to estimate baselines, finding the indexes of peaks in the data
and performing Gaussian fitting or centroid computation to further increase the
resolution of the peak detection.

The documentation is available at http://peakutils.readthedocs.io/en/latest .

Installation
------------

To install PeakUtils from the source package, run:

.. code-block:: bash

    python setup.py install

PeakUtils targets Python 2.7+ and depends on numpy, scipy, and optionally on
matplotlib.

Contribute
----------

- Source Code: https://bitbucket.org/lucashnegri/peakutils
- Issues: https://bitbucket.org/lucashnegri/peakutils/issues
- Direct contact: Lucas Hermann Negri - lucashnegri <at> gmail.com

License
-------

The project is licensed under the MIT license.

            

Raw data

            {
    "_id": null,
    "home_page": "https://bitbucket.org/lucashnegri/peakutils",
    "name": "PeakUtils",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "peak detection search gaussian centroid baseline maximum",
    "author": "Lucas Hermann Negri",
    "author_email": "lucashnegri@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/79/89/39332b9fadef40443a781c00053beb9ec668181267aec5b7e5865b70e039/PeakUtils-1.3.4.tar.gz",
    "platform": null,
    "description": "PeakUtils\n=========\n\n.. image:: https://zenodo.org/badge/102883046.svg\n   :target: https://zenodo.org/badge/latestdoi/102883046\n\nThis package provides utilities related to the detection of peaks on 1D data.\nIncludes functions to estimate baselines, finding the indexes of peaks in the data\nand performing Gaussian fitting or centroid computation to further increase the\nresolution of the peak detection.\n\nThe documentation is available at http://peakutils.readthedocs.io/en/latest .\n\nInstallation\n------------\n\nTo install PeakUtils from the source package, run:\n\n.. code-block:: bash\n\n    python setup.py install\n\nPeakUtils targets Python 2.7+ and depends on numpy, scipy, and optionally on\nmatplotlib.\n\nContribute\n----------\n\n- Source Code: https://bitbucket.org/lucashnegri/peakutils\n- Issues: https://bitbucket.org/lucashnegri/peakutils/issues\n- Direct contact: Lucas Hermann Negri - lucashnegri <at> gmail.com\n\nLicense\n-------\n\nThe project is licensed under the MIT license.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Peak detection utilities for 1D data",
    "version": "1.3.4",
    "split_keywords": [
        "peak",
        "detection",
        "search",
        "gaussian",
        "centroid",
        "baseline",
        "maximum"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d79efe99bd8dca92d4f5665c826c997e4c4d8a84ed9706fcc2fa416c3c36254c",
                "md5": "0965d8790308340187a597e2d1500902",
                "sha256": "8fd79ad3bbdaf3ef258c26f8dfa6a748638329c9b8c765960fb14650a155c73d"
            },
            "downloads": -1,
            "filename": "PeakUtils-1.3.4-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "0965d8790308340187a597e2d1500902",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 7708,
            "upload_time": "2022-08-05T13:19:12",
            "upload_time_iso_8601": "2022-08-05T13:19:12.549466Z",
            "url": "https://files.pythonhosted.org/packages/d7/9e/fe99bd8dca92d4f5665c826c997e4c4d8a84ed9706fcc2fa416c3c36254c/PeakUtils-1.3.4-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "798939332b9fadef40443a781c00053beb9ec668181267aec5b7e5865b70e039",
                "md5": "4cde81b2d9154a0eda149d02f8b667c9",
                "sha256": "8920426a39424ea9f025cd76a0c19150107143670bea47e4935d4435f65e6370"
            },
            "downloads": -1,
            "filename": "PeakUtils-1.3.4.tar.gz",
            "has_sig": false,
            "md5_digest": "4cde81b2d9154a0eda149d02f8b667c9",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 117424,
            "upload_time": "2022-08-05T13:19:15",
            "upload_time_iso_8601": "2022-08-05T13:19:15.746975Z",
            "url": "https://files.pythonhosted.org/packages/79/89/39332b9fadef40443a781c00053beb9ec668181267aec5b7e5865b70e039/PeakUtils-1.3.4.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-08-05 13:19:15",
    "github": false,
    "gitlab": false,
    "bitbucket": true,
    "bitbucket_user": "lucashnegri",
    "bitbucket_project": "peakutils",
    "lcname": "peakutils"
}
        
Elapsed time: 0.08124s