.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_auto_examples_misc_plot_binned_amplitude.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_misc_plot_binned_amplitude.py:


====================================
Bin amplitude according to the phase
====================================

This example illustrate how to bin the amplitude according to the phase.



.. image:: /auto_examples/misc/images/sphx_glr_plot_binned_amplitude_001.png
    :class: sphx-glr-single-img





.. code-block:: default

    from tensorpac.signals import pac_signals_tort
    from tensorpac.utils import BinAmplitude

    import matplotlib.pyplot as plt

    # Dataset of signals artificially coupled between 10hz and 100hz :
    n_epochs = 20
    n_times = 4000
    sf = 512.  # sampling frequency

    # Create artificially coupled signals using Tort method :
    data, time = pac_signals_tort(f_pha=10, f_amp=100, noise=2, n_epochs=n_epochs,
                                  dpha=10, damp=10, sf=sf, n_times=n_times)

    plt.figure(figsize=(14, 5))

    plt.subplot(121)
    b_obj = BinAmplitude(data, sf, f_pha=[9, 11], f_amp=[90, 110], n_jobs=1,
                         n_bins=18)
    ax = b_obj.plot(color='red', alpha=.5, unit='deg')
    plt.ylim(0, 180)
    plt.title("Binned amplitude (phase=[9, 11])")

    plt.subplot(122)
    b_obj = BinAmplitude(data, sf, f_pha=[2, 4], f_amp=[90, 110], n_jobs=1,
                         n_bins=18)
    ax = b_obj.plot(color='blue', alpha=.5, unit='deg')
    plt.ylim(0, 180)
    plt.title("Binned amplitude (phase=[2, 4])")

    b_obj.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.523 seconds)


.. _sphx_glr_download_auto_examples_misc_plot_binned_amplitude.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_binned_amplitude.py <plot_binned_amplitude.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_binned_amplitude.ipynb <plot_binned_amplitude.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_