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This guide includes a Continuous Wavelet Transform (CWT), significance tests from based on Torrence and Compo (1998) and Cross Wavelet Analysis (CWA) based on Maraun and Kurths(2004).

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waipy
=====
This guide includes a Continuous Wavelet Transform (CWT)based on Torrence and Compo (1998) + significance  tests
![ScreenShot](https://github.com/mabelcalim/waipy/blob/master/Sine.png)

and Cross Wavelet Analysis(CWA) based on Maraun and Kurths(2004).

Cross Power Wavelet Analysis:
    ![ScreenShot](https://github.com/mabelcalim/waipy/blob/master/examples/figs/CrossWavelet_noise_example.png)

Wavelet Coherence Analysis:
    ![ScreenShot](https://github.com/mabelcalim/waipy/blob/master/examples/figs/CohereWavelet_noise_example.png)

Installation
============

If you use pip, install with:

pip install waipy

The newest version from git can be installed with:

pip install git+https://github.com/mabelcalim/waipy.git

Waipy has optional features that can be installed with:

pip install git+https://github.com/mabelcalim/waipy.git#egg=waipy[all]

Manual installation
-------------------
First steps:

cd  PATH_TO_SAVE_WAIPY_IN_YOUR_HOME
    git clone https://github.com/mabelcalim/waipy.git
    cd waipy/

A local install can be done using the provided setup.py file:

python3 setup.py install

The installation path can be changed using the **--prefix** switch, e.g.:

python setup.py install --prefix $HOME/inst

Make sure to add the corresponding paths to your ``$PATH`` and ``$PYTHONPATH``
environment variables. Alternatively, if the **--user** switch can be used:

export PYTHONUSERBASE=$HOME/inst/pip_installs
    export PYTHONPATH=$HOME/inst/pip_installs/lib/python2.7/\
        site-packages/:$PYTHONPATH
    export PATH=$HOME/inst/pip_installs/bin:$PATH
    python setup.py install --user

If you plan on modifying the code, use the **develop** target in combination
with the **--user** swich:

The first three lines should also be included in the **$HOME/.bashrc** file.

Requirements
============

The following packages are required (tested on Debian Wheezy):

* python-matplotlib
* python-numpy
* libnetcdf-dev
* libhdf5-dev
* netcdf4 (https://github.com/Unidata/netcdf4-python.git)

Installing requirements for python3 and 3.8
============

* pip3 install numpy
* pip3 install matplotlib
* pip3 install netCDF4
* pip3 install pandas
* pip3 install scipy

As a tip, try to use jupyter !
* pip3 install jupyter

Examples
============

* [Nino3 SST seasonal](https://github.com/mabelcalim/waipy/blob/master/examples/Nino3%20example.ipynb)
* [Sine and Cosine](https://github.com/mabelcalim/waipy/blob/master/examples/Example%201%20Sine%20and%20Waipy%20.ipynb)
* [Random signal](https://github.com/mabelcalim/waipy/blob/master/examples/Example%202%20random%20signals.ipynb)
* [Noisy signals](https://github.com/mabelcalim/waipy/blob/master/examples/Example%203%20signals%20with%20noise.ipynb)
* [Frequency change](https://github.com/mabelcalim/waipy/blob/master/examples/cwa_changeFreq_example.ipynb)

Use waipy without install it!
============
Check the prêt-à-porter.ipynb examples!!!
* [waipy prêt-à-porter.ipynb](https://github.com/mabelcalim/waipy/blob/master/examples/waipy_prêt-à-porter.ipynb)
* [cwa prêt-à-porter.ipynb](https://github.com/mabelcalim/waipy/blob/master/examples/cwa_prêt-à-porter.ipynb)

Support Group
==============

[waipy users support group](https://groups.google.com/forum/?hl=en#!forum/waipy-users-support)

Acknowledgments
==============
Thanks to my dear wavelet teacher: [Margarete Oliveira Domingues](http://www.lac.inpe.br/~margarete/)

waipy

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