{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "38a53463-3e40-453c-ba66-412ddc59c0f5",
   "metadata": {},
   "source": [
    "## Basic Matplotlib interactive plot adjustable via widgets\n",
    "\n",
    "\n",
    "I was delighted to see that the newer JupyterLab seemed to have much better support for ipywidgets lately and so when I saw [this question](https://stackoverflow.com/q/67804804/8508004) at StackOverflow, I thought it was a good time to test how the solution proposed was working.\n",
    "In examining [the current answer](https://stackoverflow.com/a/67816794/8508004) to [this question](https://stackoverflow.com/q/67804804/8508004), I was finding the answer wasn't working in repositories where I had ipywidgets enabled, even when I tried in JupyterLab.\n",
    "\n",
    "However, the ipywidgets documentation includes [a matplotlib example](https://ipywidgets.readthedocs.io/en/latest/examples/Using%20Interact.html?highlight=matplotlib#Flickering-and-jumping-output) (found by searching 'matplotlib' in the documentation).\n",
    "\n",
    "\n",
    "```python\n",
    "%matplotlib inline\n",
    "from ipywidgets import interactive\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "def f(m, b):\n",
    "    plt.figure(2)\n",
    "    x = np.linspace(-10, 10, num=1000)\n",
    "    plt.plot(x, m * x + b)\n",
    "    plt.ylim(-5, 5)\n",
    "    plt.show()\n",
    "\n",
    "interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))\n",
    "output = interactive_plot.children[-1]\n",
    "output.layout.height = '350px'\n",
    "interactive_plot\n",
    "```\n",
    "\n",
    "I was able to take that and adapt @queezz's [solution](https://stackoverflow.com/a/67816794/8508004) to get it working.\n",
    "\n",
    "(Note when I did this, going to @queezz's repo [here](https://github.com/queezz/Complex_Numbers) and launching a binder session and opening the [MatplotliInteractTest.ipynb](https://github.com/queezz/Complex_Numbers/blob/3b15605d6edb63a833ca9357f6938b28c233314f/MatplotliInteractTest.ipynb) apparently meant to accompany, the answer, didn't allow the plot to work either. It said  I suspect locking in the versions wasn't the best choice?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1071a693-a033-402f-ab61-1f376e03e75e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ba083fe85f744084820b9ecdc713dcf2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=5, description='w', max=10), FloatSlider(value=2.0, description='amp', m…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#%matplotlib inline # from the example in the documentation. but doesn't seem necessary in current JupyterLab 3.1.11 or the classic notebook available now https://github.com/fomightez/communication_voila\n",
    "from ipywidgets import interactive\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "def my_sine(x, w, amp, phi):\n",
    "    \"\"\"\n",
    "    Return a sine for x with angular frequency w and amplitude amp.\n",
    "    \"\"\"\n",
    "    return amp*np.sin(w * (x-phi))\n",
    "\n",
    "def f( w, amp, phi):\n",
    "    plt.figure(2)\n",
    "    x = np.linspace(0, 2 * np.pi, 300)\n",
    "    plt.plot(x, my_sine(x, w, amp, phi), color='C0')\n",
    "    #plt.ylim(-5, 5)\n",
    "    plt.grid(True) #optional grid\n",
    "    plt.show()\n",
    "\n",
    "interactive_plot = interactive(f, w=(0, 10, 1), amp=(0, 4, .1), phi=(0, 2*np.pi+0.01, 0.01))\n",
    "#output = interactive_plot.children[-1]\n",
    "#output.layout.height = '450px'\n",
    "interactive_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "41ac7707-8c7c-4766-9cc5-3190ff8e207d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}