preprocess.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import genfromtxt\n",
    "#my_data = genfromtxt('./labels_binary.txt', delimiter=' '\n",
    "                     \n",
    "                     \n",
    "# -*- coding: utf-8 -*-\n",
    "\"\"\"\n",
    "Created on Mon Mar 21 16:11:32 2016\n",
    "\n",
    "@author: kwanda\n",
    "\"\"\"\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import sys\n",
    "\n",
    "targets = {'positive':1,\n",
    "          'negative':0\n",
    "          }\n",
    "          \n",
    "data_folder = './'\n",
    "\n",
    "data_ext = '.txt'\n",
    "data_delimiter = ' '\n",
    "data_file_name = 'labels_binary'\n",
    "\n",
    "data_location = data_folder + data_file_name + data_ext;\n",
    "#data = pd.read_csv(data_location, delimiter=data_delimiter,dtype=float).values\n",
    "empty_array = \" 0 0 0 0\"\n",
    "data = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(data_location) as f:\n",
    "    k = 0\n",
    "    for line in f:\n",
    "        \n",
    "        if k>0:\n",
    "            line = line.rstrip()\n",
    "            inputArray = line.split(\" \")\n",
    "            #inputArray[-1] = inputArray[-1].strip()\n",
    "           \n",
    "            if inputArray[1] == \"0\":\n",
    "                outString = inputArray[0] + \" \" + inputArray[1] + empty_array\n",
    "                data.append(outString)\n",
    "            elif len(inputArray) > 6:\n",
    "                length = (len(inputArray)-6)/4\n",
    "                for i in range(length+1):\n",
    "                    \n",
    "                    outString = inputArray[0] + \" \" + inputArray[1] + \" \" + inputArray[2+4*i] + \" \" +inputArray[3+4*i]+ \" \" +inputArray[4+4*i]+ \" \" +inputArray[5+4*i]\n",
    "                    \n",
    "                    data.append(outString)\n",
    "        \n",
    "            else:\n",
    "                outString = inputArray[0] + \" \" + inputArray[1] + \" \" + inputArray[2] + \" \" +inputArray[3]+ \" \" +inputArray[4]+ \" \" +inputArray[5]\n",
    "                data.append(outString)\n",
    "        k = k+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    }
   ],
   "source": [
    "for i in range(len(data)):\n",
    "    print data[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "thefile = open('labels_binary_clean.txt', 'w')\n",
    "for item in data:\n",
    "  print>>thefile, item"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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