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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Render\n",
    "\n",
    "This is done through rendering the figure first and then reload it in a FuncAnimation with imshow.\n",
    "Therefore the zoom function is limited to the resolution of the figure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from smpl_animation import animation\n",
    "from smpl import plot\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## live-render"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook \n",
    "plt.ioff()\n",
    "def update(a):\n",
    "    plot.function(lambda x : a*x**2,xmin=0,xmax=5,init=True,tight=False)\n",
    "\n",
    "ani = animation.animate(update = update,frames=np.linspace(0,10,200), interval=10,blit=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## pre-render"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook \n",
    "plt.ioff()\n",
    "for a in tqdm.tqdm(np.linspace(0,10,200)):\n",
    "    plot.function(lambda x : a*x**2,xmin=0,xmax=5,init=True,tight=False)\n",
    "    animation.frame()\n",
    "\n",
    "#ani.save(\"test.gif\")\n",
    "ani = animation.animate(interval=10,blit=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ani.save(\"test.gif\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from smpl_animation import animation\n",
    "from smpl import plot\n",
    "import numpy as np\n",
    "\n",
    "for a in np.linspace(0,10,200):\n",
    "    plot.function(lambda x : a*x**2,xmin=0,xmax=5,init=True,tight=False)\n",
    "    animation.frame()\n",
    "\n",
    "ani = animation.animate(interval=10,blit=True)\n",
    "ani.widget_gif()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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