.. _sphx_glr_gallery_widgets_slider_demo.py: =========== Slider Demo =========== Using the slider widget to control visual properties of your plot. In this example, a slider is used to choose the frequency of a sine wave. You can control many continuously-varying properties of your plot in this way. .. image:: /gallery/widgets/images/sphx_glr_slider_demo_001.png :align: center .. code-block:: python import numpy as np import matplotlib.pyplot as plt from matplotlib.widgets import Slider, Button, RadioButtons fig, ax = plt.subplots() plt.subplots_adjust(left=0.25, bottom=0.25) t = np.arange(0.0, 1.0, 0.001) a0 = 5 f0 = 3 s = a0*np.sin(2*np.pi*f0*t) l, = plt.plot(t, s, lw=2, color='red') plt.axis([0, 1, -10, 10]) axcolor = 'lightgoldenrodyellow' axfreq = plt.axes([0.25, 0.1, 0.65, 0.03], facecolor=axcolor) axamp = plt.axes([0.25, 0.15, 0.65, 0.03], facecolor=axcolor) sfreq = Slider(axfreq, 'Freq', 0.1, 30.0, valinit=f0) samp = Slider(axamp, 'Amp', 0.1, 10.0, valinit=a0) def update(val): amp = samp.val freq = sfreq.val l.set_ydata(amp*np.sin(2*np.pi*freq*t)) fig.canvas.draw_idle() sfreq.on_changed(update) samp.on_changed(update) resetax = plt.axes([0.8, 0.025, 0.1, 0.04]) button = Button(resetax, 'Reset', color=axcolor, hovercolor='0.975') def reset(event): sfreq.reset() samp.reset() button.on_clicked(reset) rax = plt.axes([0.025, 0.5, 0.15, 0.15], facecolor=axcolor) radio = RadioButtons(rax, ('red', 'blue', 'green'), active=0) def colorfunc(label): l.set_color(label) fig.canvas.draw_idle() radio.on_clicked(colorfunc) plt.show() **Total running time of the script:** ( 0 minutes 0.138 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: slider_demo.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: slider_demo.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_