{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ipywidgets import interact\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn-v0_8-darkgrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def wave(ts, A, T, phi):\n",
    "    return A * np.cos(2*np.pi*ts/T + phi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cae274427d3b4293b313effefe6cad85",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=1.0, description='f_signal', max=1.0, min=0.1, step=0.01), FloatSlider…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts = np.linspace(0,50,1000)\n",
    "@interact(f_signal=(0.1,1,0.01), f_sample=(0.1,1,0.01))\n",
    "def f(f_signal=1, f_sample=1):\n",
    "    sample_ts = np.arange(0,50,1/f_sample)\n",
    "    plt.figure(figsize=(12,4))\n",
    "    plt.plot(ts, wave(ts, 1, 1/f_signal, 0))\n",
    "    plt.plot(sample_ts, wave(sample_ts, 1, 1/f_signal, 0), '.', markersize=10)\n",
    "    plt.xlabel('Time (s)')\n",
    "    plt.ylabel('Amplitude')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "language": "python",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.14.2"
  }
 },
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}