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    "Dependencies | Version\n",
    "--- | ---\n",
    "SatPy | 0.25.1\n",
    "PyResample | 1.17.0\n",
    "PySpectral | 0.10.4\n",
    "Trollimage | 1.14.0\n",
    "PyKdtree | 1.3.4\n",
    "XArray | 0.16.1\n",
    "Dask | 2.30.0\n",
    "ImageIO | 2.9.0\n",
    "ffmpeg | 4.3.1\n",
    "\n",
    "\n",
    "# GOES-16 ABI - True Color Animation - Hurricane Florence\n",
    "\n",
    "\n",
    "\n",
    "This example shows how to take multiple time steps of ABI data and combine them in to a single mp4 movie file as an animation. The example uses 100 frames of mesoscale images from the GOES-16 ABI instrument on September 11th, 2018 from 1300Z to 1440Z with one image every minute. The \"%%time\" magic command is used in jupyter notebook to time the entire cell's execution. This example took about 8 minutes and 30 seconds on a 2015 macbook using 8 dask threaded workers.\n",
    "\n",
    "The movie produced has been hosted on twitter: https://twitter.com/PyTrollOrg/status/1039555399433834497\n",
    "\n",
    "Full resolution video: https://www.ssec.wisc.edu/~davidh/satpy/true_color_20180911_130021.mp4\n",
    "\n",
    "The frames in the movie are 500m resolution true color images with solar zenith and rayleigh scattering corrections applied. A ratio sharpening technique was also used to bring out more detail from the lower resolution input bands. All of this is pre-configured for the ABI 'true_color' composite in satpy and is done from python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "import os\n",
    "import warnings\n",
    "import logging\n",
    "from satpy import Scene\n",
    "from glob import glob\n",
    "from satpy import MultiScene\n",
    "logging.basicConfig(level=logging.ERROR)  # don't show warnings\n",
    "warnings.simplefilter('ignore')  # don't show warnings\n",
    "\n",
    "BASE_DIR = '/data/satellite/abi/20180911_florence_100'\n",
    "\n",
    "mscn = MultiScene.from_files(glob(os.path.join(BASE_DIR, 'OR*-RadM1*.nc')), reader='abi_l1b')\n",
    "mscn.load(['true_color'])\n",
    "new_mscn = mscn.resample(resampler='native')\n",
    "new_mscn.save_animation('{name}_{start_time:%Y%m%d_%H%M%S}.mp4', fps=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Video\n",
    "Video('true_color_20180911_130021.mp4', width=480, height=480)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Advanced Usage\n",
    "\n",
    "It is also possible to use dask in a multiprocess environment to compute multiple animation frames at once. We do this by first creating a dask `Client` object which will create external dask workers for us. We then pass this client object to `save_animation` along with a `batch_size`. This tells Satpy to compute `16` frames at a time by using the parallel multiprocess workers created by dask. Without this, Satpy will default to computing one frame at a time. Depending on your system, this can cut off minutes of processing time.\n",
    "\n",
    "Note: The creation of the `Client` below includes making a dashboard available for viewing tasks as they are worked on by dask."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask.distributed import Client\n",
    "client = Client()\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "import os\n",
    "import warnings\n",
    "import logging\n",
    "from satpy import Scene\n",
    "from glob import glob\n",
    "from satpy import MultiScene\n",
    "logging.basicConfig(level=logging.ERROR)  # don't show warnings\n",
    "warnings.simplefilter('ignore')  # don't show warnings\n",
    "\n",
    "BASE_DIR = '/data/satellite/abi/20180911_florence_100'\n",
    "\n",
    "mscn = MultiScene.from_files(glob(os.path.join(BASE_DIR, 'OR*-RadM1*.nc')), reader='abi_l1b')\n",
    "mscn.load(['true_color'])\n",
    "new_mscn = mscn.resample(resampler='native')\n",
    "new_mscn.save_animation('{name}_{start_time:%Y%m%d_%H%M%S}.mp4', fps=5, batch_size=16, client=client)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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