{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simple Animations Using clear_output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sometimes you want to clear the output area in the middle of a calculation.  This can be useful for doing simple animations. In terminals, there is the carriage-return (`'\\r'`) for overwriting a single line, but the notebook frontend can clear the whole output area, not just a single line.\n",
    "\n",
    "To clear output in the Notebook you can use the `clear_output()` function.  If you are clearing the output every frame of an animation, calling `clear_output()` will create noticeable flickering.  You can use `clear_output(wait=True)` to add the *clear_output* call to a queue.  When data becomes available to replace the existing output, the *clear_output* will be called immediately before the new data is added.  This avoids the flickering by not rendering the cleared output to the screen."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we show our progress iterating through a list:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9\n"
     ]
    }
   ],
   "source": [
    "from IPython.display import display, clear_output\n",
    "for i in range(10):\n",
    "    time.sleep(0.25)\n",
    "    clear_output(wait=True)\n",
    "    print(i)\n",
    "    sys.stdout.flush()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## AsyncResult.wait_interactive"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The AsyncResult object has a special `wait_interactive()` method, which prints its progress interactively,\n",
    "so you can watch as your parallel computation completes.\n",
    "\n",
    "**This example assumes you have an IPython cluster running, which you can start from the [cluster panel](/#clusters)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#from IPython import parallel\n",
    "#rc = parallel.Client()\n",
    "#view = rc.load_balanced_view()\n",
    "#\n",
    "#amr = view.map_async(time.sleep, [0.5]*100)\n",
    "#\n",
    "#amr.wait_interactive()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Matplotlib example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also use `clear_output()` to clear figures and plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.special import jn\n",
    "x = np.linspace(0,5)\n",
    "f, ax = plt.subplots()\n",
    "ax.set_title(\"Bessel functions\")\n",
    "\n",
    "for n in range(1,10):\n",
    "    time.sleep(1)\n",
    "    ax.plot(x, jn(x,n))\n",
    "    clear_output(wait=True)\n",
    "    display(f)\n",
    "\n",
    "# close the figure at the end, so we don't get a duplicate\n",
    "# of the last plot\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}