peaks_of_kilimanjaro.ipynb

{
 "metadata": {
  "name": "peaks_of_kilimanjaro"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Your brother is going on an expidition to build a bridge between the two\n",
      "peaks of Mount Kilimanjaro.  He needs you to create a database of information \n",
      "about the team.  This needs to include:**\n",
      "\n",
      "I. A table of critical team member information.\n",
      "\n",
      "II. An array of oxygen depravation fraction (to be filled in later)\n",
      "    for everyone team member for each of the million steps up the mountain.\n",
      "\n",
      "The info he has about the team is their first name, last name, age, and \n",
      "whether they are alive or not.\n",
      "\n",
      "Suddenly, he has forgotten the first half of team's names.  \n",
      "\n",
      "III. Please read these off for him.\n",
      "\n",
      "Careful out there!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import tables as tb\n",
      "\n",
      "team = [('Flavia',   'Jacquin',   21, True),\n",
      "        ('Michal',   'Ards',       7, True),\n",
      "        ('Madaline', 'Herta',     25, True), \n",
      "        ('Ike',      'Jerding',    3, True),\n",
      "        ('Winford',  'Bergenty',  59, True),\n",
      "        ('Fernanda', 'Leuze',     51, True),\n",
      "        ('Larae',    'Dalaq',     44, False),\n",
      "        ('Ema',      'Czyrnik',   51, True),\n",
      "        ('Britt',    'Housemate', 32, False),\n",
      "        ('Eldridge', 'Lerow',     72, False),\n",
      "        ]\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "f = tb.openFile(\"team.h\", \"w\")\n",
      "data_type = np.dtype([(\"name\", \"S100\"),(\"last_name\", \"S100\"), (\"age\", int), (\"alive\", bool)])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data_type"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "dtype([('name', 'S100'), ('last_name', 'S100'), ('age', '<i8'), ('alive', '?')])"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "team_table = f.createTable(\"/\", \"team_info\", data_type)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "team_table.append(team)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "team_table"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "/team_info (Table(10,)) ''\n",
        "  description := {\n",
        "  \"name\": StringCol(itemsize=100, shape=(), dflt='', pos=0),\n",
        "  \"last_name\": StringCol(itemsize=100, shape=(), dflt='', pos=1),\n",
        "  \"age\": Int64Col(shape=(), dflt=0, pos=2),\n",
        "  \"alive\": BoolCol(shape=(), dflt=False, pos=3)}\n",
        "  byteorder := 'little'\n",
        "  chunkshape := (313,)"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for x in team_table:\n",
      "    print x['last_name']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Jacquin\n",
        "Ards\n",
        "Herta\n",
        "Jerding\n",
        "Bergenty\n",
        "Leuze\n",
        "Dalaq\n",
        "Czyrnik\n",
        "Housemate\n",
        "Lerow\n"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "depr= f.createArray(\"/\",\"oxygen_depravation_array\", [])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "depr"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "/oxygen_depravation_array (Array(0,)) ''\n",
        "  atom := Float64Atom(shape=(), dflt=0.0)\n",
        "  maindim := 0\n",
        "  flavor := 'python'\n",
        "  byteorder := 'little'\n",
        "  chunkshape := None"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "team_table.cols.name[team_table.nrows/2:]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "array(['Fernanda', 'Larae', 'Ema', 'Britt', 'Eldridge'], \n",
        "      dtype='|S100')"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}