{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pandas\n",
    "\n",
    "We want to be able to load the following csv file which quotation marks and additional commas:\n",
    "\n",
    "eg. \n",
    "\n",
    "`\"\",\"\",\"\"BSF\" code - Intermittant, see notes\",\"\"`\n",
    "\n",
    "should result in\n",
    "\n",
    "      0 1                                     2 3\n",
    "    0  , , \"BSF\" code - Intermittant, see notes, \n",
    "    \n",
    "Let's fist make our data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "with open(\"file.csv\", 'w') as f:\n",
    "    f.write(\"\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\"\\n\\\"\\\",\\\"\\\",\\\"\\\"BSF\\\" code - Intermittant, see notes\\\",\\\"\\\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\"0\",\"1\",\"2\",\"3\"\r\n",
      "\"\",\"\",\"\"BSF\" code - Intermittant, see notes\",\"\""
     ]
    }
   ],
   "source": [
    "!cat file.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Elzell's answer](http://stackoverflow.com/a/34043973/4244912):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before stripping:\n",
      "   \"0\" \"1\"                                     \"2\" \"3\"\n",
      "0  \"\"  \"\"  \"\"BSF\" code - Intermittant, see notes\"  \"\"\n",
      "\n",
      "After stripping:\n",
      "   \"0\" \"1\"                                   \"2\" \"3\"\n",
      "0          \"BSF\" code - Intermittant, see notes    \n"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv(\"file.csv\",sep=r'(?<=\"),(?=\")',quotechar='\"', engine = 'python')\n",
    "print(\"Before stripping:\\n\",data)\n",
    "data = data.applymap(lambda s:s[1:-1])\n",
    "print(\"\\nAfter stripping:\\n\",data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This seems to work pretty well."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now I think the answer lies in considering `\",\"` to be the delimiter"
   ]
  }
 ],
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