Twiml episode duration

twimlai_durations.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting xmltodict\n",
      "  Downloading https://files.pythonhosted.org/packages/28/fd/30d5c1d3ac29ce229f6bdc40bbc20b28f716e8b363140c26eff19122d8a5/xmltodict-0.12.0-py2.py3-none-any.whl\n",
      "Installing collected packages: xmltodict\n",
      "Successfully installed xmltodict-0.12.0\n"
     ]
    }
   ],
   "source": [
    "!pip install xmltodict\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import urllib\n",
    "import xmltodict\n",
    "import time\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "request = urllib.request.Request('http://twimlai.libsyn.com/rss')\n",
    "result = urllib.request.urlopen(request)\n",
    "resulttext = result.read()\n",
    "\n",
    "xml = xmltodict.parse(resulttext)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "durations = []\n",
    "for item in xml['rss']['channel']['item']:\n",
    "    a = item['itunes:duration']\n",
    "    a = a.split(':')\n",
    "    if len(a) == 3:\n",
    "        duration = int(a[-3]) * 60 + int(a[-2]) + int(a[-1]) / 60\n",
    "    else:\n",
    "        duration = int(a[-2]) + int(a[-1]) / 60\n",
    "        \n",
    "    durations.append(duration)\n",
    "durations = np.asarray(durations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Median 44.5 minutes - Mean: 44.3 minutes\n"
     ]
    }
   ],
   "source": [
    "print(f\"Median {np.median(durations):.1f} minutes - Mean: {np.mean(durations):.1f} minutes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 6))\n",
    "plt.xlabel('Minutes')\n",
    "plt.ylabel('%')\n",
    "plt.title('Twimlai episode durations')\n",
    "n, bins, patches = plt.hist(durations, 50, facecolor='g', alpha=0.75, )\n",
    "plt.grid(True)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}