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  {
   "cell_type": "markdown",
   "id": "277aa350-a03d-4f91-9f11-901850e1f23d",
   "metadata": {},
   "source": [
    "# Animations using series of images\n",
    "\n",
    "## Using image files\n",
    "\n",
    "Need to have the folder Cats in the directory containing the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "51c88aa9-5f13-47d2-a18e-3ffe04832394",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date and time 2023-03-22 10:21:05.338037\n",
      "Working on Cats\\cat-running-00.png\n",
      "Working on Cats\\cat-running-01.png\n",
      "Working on Cats\\cat-running-02.png\n",
      "Working on Cats\\cat-running-03.png\n",
      "Working on Cats\\cat-running-04.png\n",
      "Working on Cats\\cat-running-05.png\n",
      "Working on Cats\\cat-running-06.png\n",
      "Working on Cats\\cat-running-07.png\n",
      "Date and time 2023-03-22 10:21:06.149871\n",
      "Time since last check is 0:00:00.811834\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "now = datetime.datetime.now()\n",
    "print(\"Date and time\",str(now))\n",
    "#\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.animation as anim\n",
    "from PIL import Image\n",
    "from glob import glob\n",
    "#\n",
    "# Can't use inline matplotlib backend for animations, so try TkAgg\n",
    "import matplotlib\n",
    "matplotlib.use('TkAgg')\n",
    "#\n",
    "fig, ax = plt.subplots(figsize = (5.12, 2.56))\n",
    "fig.subplots_adjust(bottom = 0, top = 1, left = 0, right = 1)\n",
    "ax.axis('off')\n",
    "#\n",
    "ims = []\n",
    "for fname in sorted(glob('Cats/cat-running-*.png')):\n",
    "    print(\"Working on\",fname)\n",
    "    im = ax.imshow(Image.open(fname), animated = True)\n",
    "    ims.append([im])\n",
    "#\n",
    "ani = anim.ArtistAnimation(fig, artists = ims, interval = 33, repeat = True)\n",
    "ani.save('running-cat.gif', writer = 'imagemagick')\n",
    "#\n",
    "fig.show()\n",
    "#\n",
    "then = now\n",
    "now = datetime.datetime.now()\n",
    "print(\"Date and time\",str(now))\n",
    "print(\"Time since last check is\",str(now - then))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a7c947e-8907-42a7-b311-6cfb8b6b977e",
   "metadata": {},
   "source": [
    "## Creating images\n",
    "\n",
    "Based on example in matplotlib documentation!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "73fbf063-bddb-43b2-93c5-cc5f37b64b6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date and time 2023-03-24 08:47:18.083984\n",
      "Date and time 2023-03-24 08:47:30.506297\n",
      "Time since last check is 0:00:12.422313\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "now = datetime.datetime.now()\n",
    "print(\"Date and time\",str(now))\n",
    "#\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.animation as anim\n",
    "import numpy as np\n",
    "#\n",
    "# Can't use inline matplotlib backend for animations, so try TkAgg\n",
    "import matplotlib\n",
    "matplotlib.use('TkAgg')\n",
    "#\n",
    "def f(x, y):\n",
    "    f = np.sin(x) + np.cos(y)\n",
    "    return f\n",
    "#\n",
    "n_points = 128\n",
    "#\n",
    "# Using row (x) and column (y) vectors ensures output of function is n_points times n_points matrix \n",
    "# that can be shown as image  \n",
    "x = np.linspace(0, 2*np.pi, n_points)\n",
    "y = np.linspace(0, 2*np.pi, n_points).reshape(n_points, 1)\n",
    "#\n",
    "fig, ax = plt.subplots(figsize = (4, 4))\n",
    "fig.subplots_adjust(bottom = 0, top = 1, left = 0, right = 1)\n",
    "ax.axis('off')\n",
    "x_step = 1/16\n",
    "y_step = 1/32\n",
    "ims = []\n",
    "#\n",
    "# Using n_frames (multiple of) n_points ensures smooth repeat of animation\n",
    "n_frames = n_points\n",
    "#\n",
    "for n in range(0, n_frames):\n",
    "    im = ax.imshow(f(x, y), cmap = plt.get_cmap('plasma'), animated = True)\n",
    "    ims.append([im])\n",
    "    x += np.pi*x_step\n",
    "    y += np.pi*y_step\n",
    "#\n",
    "ani = anim.ArtistAnimation(fig, artists = ims, interval = 30, repeat_delay = 0)\n",
    "ani.save('waves.gif', writer = 'imagemagick')\n",
    "#\n",
    "fig.show()\n",
    "#\n",
    "then = now\n",
    "now = datetime.datetime.now()\n",
    "print(\"Date and time\",str(now))\n",
    "print(\"Time since last check is\",str(now - then))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "18808aba-8dcd-4034-a4b2-7ddd7ad84136",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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