example of using timeit with sorting

sort_speed_test.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Is it faster to use immutable data or objects to sort?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from faker import Faker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "faker = Faker()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**define some constants**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "(\n",
    "    PERSON_COUNT,\n",
    "    FIRST,\n",
    ") = (\n",
    "    500,\n",
    "    0,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = tuple([(faker.name(), faker.pyint()) for _ in range(PERSON_COUNT)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Sharon Jennings', 55)\n"
     ]
    }
   ],
   "source": [
    "# check the first one\n",
    "print(data[FIRST])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**using \\* positional expansion operator with zip unzips**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "unsorted_names, unsorted_ages = tuple(zip(*data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sorted_names = tuple(sorted(unsorted_names))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Time how long it takes to sort a list of PERSON_COUNT names.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000 loops, best of 3: 172 µs per loop\n"
     ]
    }
   ],
   "source": [
    "%timeit sorted_names = tuple(sorted(unsorted_names))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "indices = tuple([unsorted_names.index(sorted_name) for sorted_name in sorted_names])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Aaron Green, Aaron Green, Sharon Jennings\n"
     ]
    }
   ],
   "source": [
    "indexed_first = unsorted_names[indices[FIRST]]\n",
    "sorted_first = sorted_names[FIRST]\n",
    "unsorted_names_first = unsorted_names[FIRST]\n",
    "print(', '.join((indexed_first, sorted_first, unsorted_names_first)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "assert all((\n",
    "    indexed_first == sorted_first,\n",
    "    unsorted_names_first not in (indexed_first, sorted_first), # could fail if first unsorted is sorted first!\n",
    "))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Aaron Green', 7206)\n"
     ]
    }
   ],
   "source": [
    "sorted_data = tuple(data[index] for index in indices)\n",
    "print(sorted_data[FIRST])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sorted_names, sorted_ages = tuple(zip(*sorted_data))\n",
    "# sanity check\n",
    "assert all((\n",
    "    sorted_names == tuple(sorted(unsorted_names)),\n",
    "    sorted_ages == tuple(unsorted_ages[index] for index in indices),\n",
    "))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def sort_people(people):\n",
    "    \"\"\"Sort people by name.\n",
    "    \n",
    "    :people: tuple of (name, age,) tuples\"\"\"\n",
    "    unsorted_names, unsorted_ages = zip(*people)\n",
    "    sorted_names = sorted(unsorted_names)\n",
    "    indices = (unsorted_names.index(sorted_name) for sorted_name in sorted_names)\n",
    "    sorted_data = tuple(people[index] for index in indices)\n",
    "    return sorted_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Aaron Green', 7206)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sort_people(data)[FIRST]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100 loops, best of 3: 2.33 ms per loop\n"
     ]
    }
   ],
   "source": [
    "%timeit sort_people(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Is it faster to then use that sorted tuple of names to then grab the ages?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class Person(object):\n",
    "    def __init__(self, name, age):\n",
    "        self.name = name\n",
    "        self.age = age\n",
    "\n",
    "    def __repr__(self):\n",
    "        return \"<name: {name}, age: {age}>\".format(name=self.name, age=self.age)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def byName_key(person):\n",
    "    return person.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "object_people = tuple([Person(name, age) for name, age in data])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000 loops, best of 3: 239 µs per loop\n"
     ]
    }
   ],
   "source": [
    "%timeit sorted(object_people, key=byName_key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000 loops, best of 3: 203 µs per loop\n"
     ]
    }
   ],
   "source": [
    "%timeit sorted([person.name for person in object_people])"
   ]
  }
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