https://github.com/lucashn/peakutils

PeakUtils mirror from bitbucket.
https://github.com/lucashn/peakutils

numpy peak science spectral-analysis

Last synced: about 15 hours ago
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PeakUtils mirror from bitbucket.

• Host: GitHub
• URL: https://github.com/lucashn/peakutils
• Owner: lucashn
• License: mit
• Created: 2017-09-08T16:40:03.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2022-08-05T13:12:21.000Z (over 3 years ago)
• Last Synced: 2024-01-30T04:07:55.726Z (almost 2 years ago)
• Topics: numpy, peak, science, spectral-analysis
• Language: Jupyter Notebook
• Homepage: http://oproj.tuxfamily.org
• Size: 287 KB
• Stars: 28
• Watchers: 3
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt

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README

          
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  gmail.com

License

-------

The project is licensed under the MIT license.