.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_auto_examples/soundtrap_hf.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_soundtrap_hf.py>`
        to download the full example code.

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

.. _sphx_glr__auto_examples_soundtrap_hf.py:


SoundTrap High Frequency with click detector
=============================================

This script is an example to compute temporal features and third octave levels on an Acoustic Survey

.. GENERATED FROM PYTHON SOURCE LINES 7-28

.. code-block:: Python


    import pyhydrophone as pyhy

    # Sound Files
    sound_folder_path = ""

    # Output path for the detected clicks
    clicks_output_path = "test.pickle"

    name = 'SoundTrap'
    model = 1
    serial_number = 67416073
    Vpp = 2
    hydrophone = pyhy.SoundTrapHF(name=name, model=model, serial_number=serial_number, Vpp=Vpp)

    """
    Detect clicks on sound data
    """
    # Convert the sound clips to click and save
    clicks_df = hydrophone.read_HFclicks(sound_folder_path)
    clicks_df.to_pickle(clicks_output_path)


.. _sphx_glr_download__auto_examples_soundtrap_hf.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: soundtrap_hf.zip <soundtrap_hf.zip>`


.. only:: html

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

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