{
 "metadata": {
  "name": "",
  "signature": "sha256:794382d63f2196d47e8413154304f8cb041bbfa827396f24b4c8101e4e757cb6"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Flatten Lists Of Lists\n",
      "\n",
      "- **Author:** [Chris Albon](http://www.chrisalbon.com/), [@ChrisAlbon](https://twitter.com/chrisalbon)\n",
      "- **Date:** -\n",
      "- **Repo:** [Python 3 code snippets for data science](https://github.com/chrisalbon/code_py)\n",
      "- **Note:** Based on: http://howchoo.com/g/how-to-use-list-comprehension-in-python"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Create a list containing three lists of names\n",
      "list_of_lists = [['Amy','Betty','Cathryn','Dana'], \n",
      "                 ['Elizabeth','Fay','Gora'], \n",
      "                  ['Heidi','Jane','Kayley']]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# For each element in list_of_lists, take each element in the list\n",
      "flattened_list = [i for row in list_of_lists for i in row]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# View the flattened list\n",
      "flattened_list"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "['Amy',\n",
        " 'Betty',\n",
        " 'Cathryn',\n",
        " 'Dana',\n",
        " 'Elizabeth',\n",
        " 'Fay',\n",
        " 'Gora',\n",
        " 'Heidi',\n",
        " 'Jane',\n",
        " 'Kayley']"
       ]
      }
     ],
     "prompt_number": 9
    }
   ],
   "metadata": {}
  }
 ]
}