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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_gallery_widgets_slider_demo.py>`
        to download the full example code

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

.. _sphx_glr_gallery_widgets_slider_demo.py:


======
Slider
======

In this example, sliders are used to control the frequency and amplitude of
a sine wave.

See :doc:`/gallery/widgets/slider_snap_demo` for an example of having
the ``Slider`` snap to discrete values.

See :doc:`/gallery/widgets/range_slider` for an example of using
a ``RangeSlider`` to define a range of values.

.. GENERATED FROM PYTHON SOURCE LINES 15-85

.. code-block:: default

    import numpy as np
    import matplotlib.pyplot as plt
    from matplotlib.widgets import Slider, Button


    # The parametrized function to be plotted
    def f(t, amplitude, frequency):
        return amplitude * np.sin(2 * np.pi * frequency * t)

    t = np.linspace(0, 1, 1000)

    # Define initial parameters
    init_amplitude = 5
    init_frequency = 3

    # Create the figure and the line that we will manipulate
    fig, ax = plt.subplots()
    line, = plt.plot(t, f(t, init_amplitude, init_frequency), lw=2)
    ax.set_xlabel('Time [s]')

    axcolor = 'lightgoldenrodyellow'
    ax.margins(x=0)

    # adjust the main plot to make room for the sliders
    plt.subplots_adjust(left=0.25, bottom=0.25)

    # Make a horizontal slider to control the frequency.
    axfreq = plt.axes([0.25, 0.1, 0.65, 0.03], facecolor=axcolor)
    freq_slider = Slider(
        ax=axfreq,
        label='Frequency [Hz]',
        valmin=0.1,
        valmax=30,
        valinit=init_frequency,
    )

    # Make a vertically oriented slider to control the amplitude
    axamp = plt.axes([0.1, 0.25, 0.0225, 0.63], facecolor=axcolor)
    amp_slider = Slider(
        ax=axamp,
        label="Amplitude",
        valmin=0,
        valmax=10,
        valinit=init_amplitude,
        orientation="vertical"
    )


    # The function to be called anytime a slider's value changes
    def update(val):
        line.set_ydata(f(t, amp_slider.val, freq_slider.val))
        fig.canvas.draw_idle()


    # register the update function with each slider
    freq_slider.on_changed(update)
    amp_slider.on_changed(update)

    # Create a `matplotlib.widgets.Button` to reset the sliders to initial values.
    resetax = plt.axes([0.8, 0.025, 0.1, 0.04])
    button = Button(resetax, 'Reset', color=axcolor, hovercolor='0.975')


    def reset(event):
        freq_slider.reset()
        amp_slider.reset()
    button.on_clicked(reset)

    plt.show()




.. image:: /gallery/widgets/images/sphx_glr_slider_demo_001.png
    :alt: slider demo
    :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 86-93

.. admonition:: References

   The use of the following functions, methods, classes and modules is shown
   in this example:

   - `matplotlib.widgets.Button`
   - `matplotlib.widgets.Slider`


.. _sphx_glr_download_gallery_widgets_slider_demo.py:


.. only :: html

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



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

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



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

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


.. only:: html

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

    Keywords: matplotlib code example, codex, python plot, pyplot
    `Gallery generated by Sphinx-Gallery
    <https://sphinx-gallery.readthedocs.io>`_