{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Snap sliders to discrete values\n\nYou can snap slider values to discrete values using the ``valstep`` argument.\n\nIn this example the Freq slider is constrained to be multiples of pi, and the\nAmp slider uses an array as the ``valstep`` argument to more densely sample\nthe first part of its range.\n\nSee :doc:`/gallery/widgets/slider_demo` for an example of using\na ``Slider`` to control a single float.\n\nSee :doc:`/gallery/widgets/range_slider` for an example of using\na ``RangeSlider`` to define a range of values.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\nimport numpy as np\n\nfrom matplotlib.widgets import Button, Slider\n\nt = np.arange(0.0, 1.0, 0.001)\na0 = 5\nf0 = 3\ns = a0 * np.sin(2 * np.pi * f0 * t)\n\nfig, ax = plt.subplots()\nfig.subplots_adjust(bottom=0.25)\nl, = ax.plot(t, s, lw=2)\n\nax_freq = fig.add_axes([0.25, 0.1, 0.65, 0.03])\nax_amp = fig.add_axes([0.25, 0.15, 0.65, 0.03])\n\n# define the values to use for snapping\nallowed_amplitudes = np.concatenate([np.linspace(.1, 5, 100), [6, 7, 8, 9]])\n\n# create the sliders\nsamp = Slider(\n ax_amp, \"Amp\", 0.1, 9.0,\n valinit=a0, valstep=allowed_amplitudes,\n color=\"green\"\n)\n\nsfreq = Slider(\n ax_freq, \"Freq\", 0, 10*np.pi,\n valinit=2*np.pi, valstep=np.pi,\n initcolor='none' # Remove the line marking the valinit position.\n)\n\n\ndef update(val):\n amp = samp.val\n freq = sfreq.val\n l.set_ydata(amp*np.sin(2*np.pi*freq*t))\n fig.canvas.draw_idle()\n\n\nsfreq.on_changed(update)\nsamp.on_changed(update)\n\nax_reset = fig.add_axes([0.8, 0.025, 0.1, 0.04])\nbutton = Button(ax_reset, 'Reset', hovercolor='0.975')\n\n\ndef reset(event):\n sfreq.reset()\n samp.reset()\nbutton.on_clicked(reset)\n\n\nplt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ".. admonition:: References\n\n The use of the following functions, methods, classes and modules is shown\n in this example:\n\n - `matplotlib.widgets.Slider`\n - `matplotlib.widgets.Button`\n\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.2" } }, "nbformat": 4, "nbformat_minor": 0 }