{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "A sample notebook"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'hello'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "import matplotlib.pyplot as plt\n",
      "import numpy as np\n",
      "plt.plot(np.random.random(100))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "A function for displaying the summary of a notebook object.\n",
      "It prints a simple summary, such as:\n",
      "\n",
      "```\n",
      "  1   markdown cells, total:   4 lines\n",
      "  5       code cells, total:   4 lines\n",
      "  1    heading cells, total:   1 lines\n",
      "```"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def nb_info(nb):\n",
      "    \"\"\"display a summary of the contents of a notebook\"\"\"\n",
      "    cell_counts = {}\n",
      "    cell_lines = {}\n",
      "    \n",
      "    for cell in nb.worksheets[0].cells:\n",
      "        cell_type = cell.cell_type\n",
      "        count = cell_counts.setdefault(cell_type, 0)\n",
      "        lines = cell_counts.setdefault(cell_type, 0)\n",
      "        cell_counts[cell_type] = count + 1\n",
      "        try:\n",
      "            content = cell.source\n",
      "        except AttributeError:\n",
      "            content = cell.input\n",
      "        cell_lines[cell_type] = lines + len(content.splitlines())\n",
      "    \n",
      "    for cell_type in cell_counts:\n",
      "        print \"%3i %10s cells, total: %3i lines\" % (cell_counts[cell_type], cell_type, cell_lines[cell_type])\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}