Metadata-Version: 1.1
Name: ceedub
Version: 0.1.0
Summary: (CW) an awesome and simple continuous wavelet transform
Home-page: https://github.com/paulthebaker/ceedub
Author: Paul T. Baker
Author-email: paultbaker@gmail.com
License: MIT license
Download-URL: https://github.com/paulthebaker/ceedub/archive/
Description: ======
        ceedub
        ======
        |py27| |py35| |py36|
        
        .. |py27| image:: https://img.shields.io/badge/python-2.7-blue.svg
        .. |py35| image:: https://img.shields.io/badge/python-3.5-blue.svg
        .. |py36| image:: https://img.shields.io/badge/python-3.6-blue.svg
        
        .. image:: https://img.shields.io/pypi/v/ceedub.svg
                :target: https://pypi.python.org/pypi/ceedub
                :alt: PyPI status
        
        .. image:: https://img.shields.io/travis/paulthebaker/ceedub.svg
                :target: https://travis-ci.org/paulthebaker/ceedub
                :alt: Build Status
        
        .. image:: https://readthedocs.org/projects/ceedub/badge/?version=latest
                :target: https://ceedub.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        .. image:: https://pyup.io/repos/github/paulthebaker/ceedub/shield.svg
             :target: https://pyup.io/repos/github/paulthebaker/ceedub/
             :alt: Developement Tool Updates
        
        
        An awesome, simple, and easy to use continuous wavelet transform package for python!
        
        
        * Free software: MIT license
        * Documentation: https://ceedub.readthedocs.io.
        
        To install the latest stable release ``v0.1.0 -- alpha`` from PyPI run:
        
        ``pip install ceedub``
        
        To install the most current version with ``pip`` directly from github run:
        
        ``pip install git+https://github.com/paulthebaker/ceedub@master``
        
        Features
        --------
        
        * continuous wavelet transforms (forward and inverse) in python
        * arbitrary user defined wavelet basis functions (provides Morlet-Gabor and Paul wavelets)
        * follows the conventions of Torrence and Compo [T&C1998]_.
        
        .. [T&C1998] https://doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
        
        Credits
        ---------
        
        Copyright (c) 2017 Paul T. Baker
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        
        =======
        History
        =======
        
        0.1.0 (2017-09-19)
        ------------------
        
        * First release on PyPI.
        
        
        0.0.0 (2017-09-18)
        ------------------
        
        * initial release
        
Keywords: cwt,wavelet
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
