{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2f10b3a6",
   "metadata": {},
   "source": [
    "# SubplotAnimation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52d51b5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tqdm\n",
    "\n",
    "from smpl import animation, plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4569693b",
   "metadata": {},
   "source": [
    "## Tight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f260438",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook \n",
    "plt.ioff()\n",
    "for a in tqdm.tqdm(np.linspace(0, 10, 200)):\n",
    "    fig, axs = plot.subplots(1, 3, figsize=(12, 8), sharey=True)\n",
    "    fig.subplots_adjust(wspace=0)\n",
    "\n",
    "    plot.function(lambda x: a * x**2, axes=axs[0], tight=False, xmin=0, xmax=1)\n",
    "    plot.function(lambda x: a * x**5, axes=axs[0], tight=False, xmin=0, xmax=1)\n",
    "    plot.function(\n",
    "        lambda x: a * x**3, axes=axs[1], logx=True, tight=False, xmin=0, xmax=1\n",
    "    )\n",
    "    plot.function(lambda x: a * x**1, axes=axs[2], tight=False, xmin=0, xmax=1)\n",
    "    animation.frame()\n",
    "\n",
    "# ani.save(\"test.gif\")\n",
    "ani = animation.animate(interval=10, blit=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac0103eb",
   "metadata": {},
   "source": [
    "## Normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3227195d",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook \n",
    "plt.ioff()\n",
    "animation.clear()\n",
    "for a in tqdm.tqdm(np.linspace(0, 10, 200)):\n",
    "    fig, axs = plot.subplots(1, 3, figsize=(12, 8), sharey=True)\n",
    "    fig.subplots_adjust(wspace=0)\n",
    "\n",
    "    plot.function(lambda x: a * x**2, axes=axs[0], xmin=0, xmax=1)\n",
    "    plot.function(lambda x: a * x**5, axes=axs[0], xmin=0, xmax=1)\n",
    "    plot.function(lambda x: a * x**3, axes=axs[1], logx=True, xmin=0, xmax=1)\n",
    "    plot.function(lambda x: a * x**1, axes=axs[2], xmin=0, xmax=1)\n",
    "    animation.frame()\n",
    "\n",
    "# ani.save(\"test.gif\")\n",
    "ani = animation.animate(interval=10, blit=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "49ab28ba",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81a86be9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "99b51ed6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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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": "3.9.15"
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