.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_tukey.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_plot_tukey.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_tukey.py:


Tukey Filter - 2D Fault 
============================================================================================================
    Generate a Tukey window

    :return: [description]
    :rtype: [type]
    

.. GENERATED FROM PYTHON SOURCE LINES 9-55



.. image-sg:: /auto_examples/images/sphx_glr_plot_tukey_001.png
   :alt: Tukey Window (alpha=0.4)
   :srcset: /auto_examples/images/sphx_glr_plot_tukey_001.png
   :class: sphx-glr-single-img





.. code-block:: Python

    import numpy as np
    import matplotlib.pyplot as plt

    def tukey_window(N, alpha=0.5):
        """
        Genera una ventana Tukey.

        Parámetros:
        - N: Longitud de la ventana.
        - alpha: Parámetro de apertura (0 para una ventana rectangular, 1 para una ventana Hann).

        Retorna:
        - Ventana Tukey.
        """
        if alpha <= 0:
            return np.ones(N)
        elif alpha >= 1:
            return np.hanning(N)
        else:
            x = np.linspace(0, 1, N, endpoint=False)
            w = np.ones_like(x)

            # Aplica la parte de la ventana Hann
            first_condition = x < alpha / 2
            last_condition = x >= 1 - alpha / 2

            w[first_condition] = 0.5 * (1 + np.cos(2 * np.pi / alpha * (x[first_condition] - alpha / 2)))
            w[last_condition] = 0.5 * (1 + np.cos(2 * np.pi / alpha * (x[last_condition] - 1 + alpha / 2)))

            # Ajusta los valores para que no alcancen completamente cero al comienzo y al final
            w[first_condition] = 0.5 + 0.5 * w[first_condition]
            w[last_condition] = 0 + 1 * w[last_condition]

            return w

    # Ejemplo de uso
    N = 100
    alpha = 0.4
    tukey = tukey_window(N, alpha)

    # Visualización de la ventana Tukey
    plt.plot(tukey)
    plt.title(f'Tukey Window (alpha={alpha})')
    plt.xlabel('Muestras')
    plt.ylabel('Amplitud')
    plt.show()


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

   **Total running time of the script:** (0 minutes 0.064 seconds)


.. _sphx_glr_download_auto_examples_plot_tukey.py:

.. only:: html

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

    .. container:: sphx-glr-download sphx-glr-download-jupyter

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

    .. container:: sphx-glr-download sphx-glr-download-python

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


.. only:: html

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

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