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

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

.. _sphx_glr_auto_examples_transformations_plot_uniform_noise.py:


==================
UniformNoise
==================
The :class:`~tonic.transforms.UniformNoise` transform
adds a specific number of noise events to the sample.

.. GENERATED FROM PYTHON SOURCE LINES 8-27



.. container:: sphx-glr-animation

    .. raw:: html

        
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     "


         /* set a timeout to make sure all the above elements are created before
            the object is initialized. */
         setTimeout(function() {
             animf3fe15ebfa22416a988eb8c082544030 = new Animation(frames, img_id, slider_id, 100.0,
                                      loop_select_id);
         }, 0);
       })()
     </script>



.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.0..2.0].






|

.. code-block:: Python


    import tonic

    nmnist = tonic.datasets.NMNIST("../../tutorials/data", train=False)
    events, label = nmnist[0]

    transform = tonic.transforms.Compose(
        [
            tonic.transforms.UniformNoise(sensor_size=nmnist.sensor_size, n=1000),
            tonic.transforms.ToFrame(
                sensor_size=nmnist.sensor_size,
                time_window=10000,
            ),
        ]
    )

    frames = transform(events)

    ani = tonic.utils.plot_animation(frames)


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

   **Total running time of the script:** (0 minutes 3.069 seconds)


.. _sphx_glr_download_auto_examples_transformations_plot_uniform_noise.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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