SQLAlchemy_Psycopg2_AWS_DB_Instance_PostgreSQL .ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Relational Database with Python\n",
    "\n",
    "This notebook is a quick introduction of how to setup and use a relational database by using python toolkit called SQLAlchemy. \n",
    "\n",
    "## Introduction\n",
    "\n",
    "A relational database store data in tables. Each table contains rows and columns. Most relational database systems use Structured Query Language (**SQL**) as the language for querying and maintaining the database. There are many commercial and open-source *Relational Database Management System* (**RDMS**) such as Oracle, IBM, MySQL and PostgreSQL. \n",
    "\n",
    " \n",
    "\n",
    "These are some advantages of using  relational database system over *flat files format (CSV-format)*:\n",
    "[database vs. flat files](http://stackoverflow.com/questions/2356851/database-vs-flat-files)\n",
    "\n",
    "1. Databases can handle complitated queries without going though the whole file.\n",
    "2. Databases can handle indexing tasks *(e.g. search index == something )*\n",
    "3. Databases can update data easily\n",
    "4. Databases can scale effortlessly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prerequisites\n",
    "\n",
    "In this notebook, **postgresql** is going to be used along with other python libraries such as *sqlalchemy and psycopg2*. \n",
    "\n",
    "### PostgreSQL\n",
    "\n",
    "**PostgreSQL** is open-source object-relational database management system. First, install **PostgreSQL** from [the following page.](https://www.postgresql.org/download/)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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t1xtZui+JzuT8VlH7xU+fs4YY4++ylpo99v17vmY7T+3Td7F0JuPa/eNn7DA1\nk66Y1dXUQEKpso1JN3vRVx63v4GgVNMrqnRZQ80+e+qRO+0LX9o6hNCUjHwCF8WrLrePcAIuhOgr\nm+0Ldz5iLx6os1iXV/5YS4Pt3fWUPXDLF+zRXfssTokuZ5ld9iHvoKad/2CPPHvAiwB/G/Y+ZQ8+\n/or3e/klds44rKUGZYssJOKeQBXd/TN77kCDS68r1mJ7nvm+fW3Trt78+F+q3u+fP1F79GsP2K7D\nSTkL9VWz9zn7Dsr3N1tf93dPLnfbM88ddt9jLThX6waXBAcceJr+LLebt9fZ1vs9EQlmVPbde2+x\nKy55ly0qy7crb3/cjtGwLxkOPrvFfbv1qfttw1mehZUFyu3jt/0NbKtgMbZjtzW6PYrsRohOPT0v\n2adWlyePNjvvkqvcfjue/n1yv95NZtd+xb7w0fOsKEU8P/hrL71rv/eviGdhcueQve/Gb9hTP/ie\n/eDWC/s0M25ddb/d+YnVlpyZzJZu+Lh9naZs9qod76eOcZ2CCIjA9Cag+9P0rh/lbrwEUh53441K\nx4uACIiACIiACIiACIiACIiACIiACGSeQJNtfuBrtnmQiEsuuNK+ctPG/hZb4RX26atX2jc2Q1Cp\n3Wn3fWmnlcyfb9Ha2t45eErW3WiXVvWpLL5oMkgy/VeHz7I/gl62BV7xqnc+arfhM3wI24XvX27b\nNu8za9pp37h5Z/KQkH3uWw/Zqss/bet/9zXbAcu12l2b7S58aCVl0RQFLfT24ZOZ0D3CdvlX/sqO\n3n6f7Wa2anfZpvtOFY0GZmHFZdfbym33GeWtXY/fZ7uemG/zQ81W2+SXrcRu+D/XpZ0/i3LawODb\nWPXV2dBsz1p7ITQXusGstkfvu80Gq63e+Hj+fOIC+8bjlEf32SPf+JI9MqAuSpKZCp95oaFWsZfZ\nzke/gY+3IbTuc/bQdU4VSe45Gxfl9tEvb7KeLzxkxw7tsz27f23bHvtHexBWV1vv/aRtfTVuLVs+\nZUVwMlp/yBMWH9y4yLbDtaEf6OLQhR3b7Y3Wm20t9bBEvT392Pfs33/+a9u354Dt8PdJHjSws++K\ndef1uVZ0+yTsaDK9de9alDzKX5Tbhz/xKf+HW1LTWnXZKuQzNRRZ1TL8RvZ6DcpSN+u7CIjANCeg\n+9M0ryBlbxwEBj4HxxGVDhUBERABERABERABERABERABERABEcgUgUAgP31UEB/mV1TZ0rNW2nsv\nvshWVBan3a/q0pvtrrIn7MFN24z2YE0QvLwQsjVX32SfunRFv+Nyk/pXujmh/F7tYJ7fjRC2jV/8\nqjU/8IDtqPaFG0aHuD/yYagfW2wXEi2e49uFeElVXfoZ+0TN/7THd0It6w0Vyegr7Jqvf8vOeeqH\n9i9bdnniXIrgFZq/3C790Nr+4l5vHJP4JbzMbnroW/biU0/Ylqd3Wm1q8V02QrZk5bvtAxsvtff4\nk2cFl9nN37nLntj0oG17BWCitX3HzV9jt976KVtRljrPWVJGKM5NI4QFkq4lg361uFSHYhtedrnd\ndUPE7ntkR6/oyYNCS9bYh1d12pYnKW4VW75fvfhVdfFNdnfpU/ZPj2wxV8UpdVGC4/5k3RnYCyGn\nyv78rz5hD973OCS1vjAnLCmkl0YgZAvPOs99PvzxG+3WX22yM95/k9nWLbav9VNwN5iwhpMnk7tf\nYRs2LLP29nb3+z0bNliBtduJ9pW2wN0SDtntuWfYvcm9119xrX3mPRtsbsEBu/fBrazGU0OsV85M\nbktYW4ef3qm7p1uzbGnFAOEs3V5aJwIiMOMI6P4046pMGR6eQMrrzPA7aw8REAEREAEREAEREAER\nEAEREAEREIHJIRBcttE2bdo4rsQqV19l92+6zOoOH7OIc6UWsrkLK624z8ArGT8smO7YZJcPktry\ny++wTQM3Bqvsmjsesj+uq7GTiDwQClpZRYWFqd1cvtFuSBtXsV183R227qoWHBPFMSELh4st2Kv3\nhG31xhvwuRbuHBvgNhCaSk6OhcJzrDh8SqbTpjA5K5nP69yHLg2bIzE4MsyxYHhgeVJyE6y0q26+\n3y6D679jJyNuQyA816oqTlUpwssvR90PBJ6MK7jc7ti0KSVi/+vQbCvXXGMPnf/HcDt4EnZFEM7C\nZVZR5s0htnGQpCpWbbQ7HtporoxR2pcFLTxnjoX7KswlHl52MfK0zloaTkJUC1goGJ5m9eUzmrzl\nWz++2/7y/33DrrzzO3AfWNov4aXvuxyuAW+yO2El5clRIXvbas9s6uu//J597X399089OPrWc57g\ndcX9dvCHX7alvq5c/7T9FKJX0i4s9ZA035HeuV56r73eAN+IRSn7RO3Qa/usJXeurThrYa/Q1ett\nNGVPfRUBEZiZBHR/mpn1plyPnED2yHfVniIgAiIgAiIgAiIgAiIgAiIgAiIgAjOPQNAq4Ids2TJ+\n0gle4ytRcUUl4q2yqsqk4DWC6HIgdFVAICsrThW8Ug+kgFZplZWVbr/pJXil5hMyUDHEI+SzEuUf\nvDx9xwSLK5J1sSyt4NW359i+Dck2WGyVOBeqqqp6Ba+RpOLKiPqoqCg7RfDqOz7HissqEG/ZrBe8\nHJO2I7Z162N2/fV/b6+1pkzehY2HfvUjJ3gZHAYWJA3iFr9zgzvszr/+O3s5ZY6sY7AKOz8ry7Ku\n+2fj6s7mE24/K8L55gte2PLjhx/2BK8Wb/Nwfxdf6KX34NVfte3H+swVj23/jp2xYpWtuupH1jFc\nJNouAiIwMwno/jQz6025HjEBiV4jRqUdRUAEREAEREAEREAEREAEREAEREAEREAERGB4Amdd/hf2\nGe62505bATeVV37+dvvmN++2G6/MgmvDW1wE137vy3ZeUrgqXXudfe8KrN5xr60qPt8+f/d37Ju3\nX2eL4AaR1lu3fXK9m1Or6O3r7Voe/dj1VrzhOvv85z9vV55fbFfcCdeGydBfYvPX9l+Wrr7efuAy\n+Jhdsijfbrz9dvv8dRts0SVfcTvedv/HB8zh1f94/jp1brlT99EaERCB6UdA96fpVyfKUWYJyL1h\nZnkqNhEQAREQAREQAREQAREQAREQAREQAREQgdlOoOg829Swx1b+1S12y3d32NYH77U+WWq93b/1\nAfvCR89LoVRqn9pSZ3m3f9o+ee9We/BOTxizVVfYQ3ffbZ/98FJv39B59p09m82uvdoe2/GYPbiD\nq6+1zb/8pP3s/Rvtu4uKel0S5uYm3Ram9QxaZJ/Y1GCFi2+GYPaYfffe5CxhSO/h+++zGz68sDdv\nLpY0cQTdhvm91mq9B+iLCIjA9Cag+9P0rh/lbtwEsnoQxh2LIhABERABERABERABERABERABERAB\nERABERCBWUbgjjvucCW+5557Bi15orXejta1YC41hECxLVpabr2eCdMdFY1aYwedCwasqLRPxOq/\na8JaW7FPImG5paVDx9f/wFN/JaIuLs71Nnh6px6mNSIgAtODgH8f8nMz1P3I38df6v7kkfAZjoad\nz1DL6UdAll7Tr06UIxEQAREQAREQAREQAREQAREQAREQAREQgdOEQKCo3JbiM+IQClkpPkMHCFRF\nSUuuoXccfmsgBLFruPSGj0Z7iIAIzDwCuj/NvDpTjocnoDm9hmekPURABERABERABERABERABERA\nBERABERABERABERABERABERABKY5AYle07yClD0REAEREAEREAEREAEREAEREAEREAEREAEREAER\nEAEREAEREIHhCUj0Gp6R9hABERABERABERABERABERABERABERABERABERABERABERABEZjmBCR6\nTfMKUvZEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQASGJxAYfhftIQIiIAIiIAIi\nIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMN0J3HHHHdM9i8qfCEwoAVl6TSheRS4CIiACIiACIiAC\nIiACIiACIiACIiACIiACIiACIiACIiACIjAZBGTpNRmUlYYIiIAIiIAIiIAIiIAIiIAIiIAIiIAI\niMBpS0CWFadt1apgIjBjCNxzzz0zJq/KqAhMJAFZek0kXcUtAiIgAiIgAiIgAiIgAiIgAiIgAiIg\nAiIgAiIgAiIgAiIgAiIwKQSyehAmJSUlIgIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIi\nIAIiIAITRECWXhMEVtGKgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhMHgGJXpPH\nWimJgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhMEAGJXhMEVtGKgAiIgAiIgAiI\ngAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhMHgGJXpPHWimJgAiIgAiIgAiIgAiIgAiIgAiIgAiI\ngAiIgAiIgAiIgAiIgAhMEAGJXhMEVtGKgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiI\ngAhMHgGJXpPHWimJgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhMEAGJXhMEVtGK\ngAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhMHgGJXpPHWimJgAiIgAiIgAiIgAiI\ngAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhMEAGJXhMEVtGKgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiI\ngAiIgAiIgAiIgAhMHgGJXpPHWimJgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhM\nEAGJXhMEVtGKgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhMHoHA5CWllIYi0JHo\ntl8dabDmWMLeauqwlnjCXq1rtkhnl9V2dFo80WXNbTHr6u4eKhptEwEREAEREAEREAEREAEREAER\nEAEREAEREAEREAEREIHTgkBOdrbNCedaXiDHyvPzLJybY+fNn2PFeQE7syTf5gQD9r7Fcy0/IPue\n06LCM1AIiV4ZgDjaKBI9PdbdY9bRmbAufO/o7LF2iFon2mPWAtGrOdZpEYheUayLdXVbd1eXdUPs\nwiEKIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIjArCPSgV7wbneld6CePo588kGXWiv7z\nHvSrn2zPtk6sO9IatQKIYvm5WZaTlYVlwLKxXwDfFWYfgSycHNJSJrHeKXLVtcWdRdfTB+usvj1u\nzx9ucCJXa7wLllw9lqDQhTzFsWTtdOHCZjX1YCUvcgUREAEREAEREAEREAEREAEREAEREAEREAER\nEAEREAERON0JZBn+wYgrCwJWDr9Dx8rLyTbadQWwzIG6VZSXY2FYfq2tKrPygjz78BkVzgKsojDP\niWCnOyOVrz8BWXr15zFhvyhVtcKKi5ZbNZGYNcBl4eGWDid6cdkOq694whO3JiwTilgEREAEREAE\nREAEREAEREAEREAEREAEREAEREAEREAEZggBGoHQGITmIF3JPMfgIc0PFMOaY1lWAOuuhehnp/c0\nWn61J3IhimVZEMJYEVwgyubLJ3b6L2XpNUl1TCuuza/XWA3m5dp+oA5uDDutMdJpCVh2xei+kJZc\nPbz0ZMk1SVWiZERABERABERABERABERABERABERABERABERABERABGY0AVp/9cCdIQWuHAvA8qsU\nc4AVQ+i6ZNl8qywM2sfftgDWYLL/mdHVPIrMq6ZHAWu0u1KA5txdjdE4Pp12tDVmx9qidgyKcxvm\n7DrVskuC12gZa38REAEREAEREAEREAEREAEREAEREAEREAEREAEREIHZSoDGJJgiCH/auxPODWKs\nu8vaYgFYfHU4YxN6XovCA1tpKM/N9UXXiAqnLwFZek1Q3VK+aoM7wxMdcfufLxy0YzCpfPl4s3V0\ndltHIiHLrgnirmhFQAREQAREQAREQAREQAREQAREQAREQAREQAREQARmK4E+y6/8QMDyc7PtHfPn\n2MKikN387jNsXn6eFcrd4Wl9csjSawKqlxZedFtYB8GrFioy5+yqgYVXM6y94lCU+4Isu/pY6JsI\niIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIjIdAn+VXW5z98dnO4ouWYLT4Yu98MNdzgyiL\nr/Fwnr7HytIrw3XjW3jVtcft3t++CZeGUXu9rtU4uR6FsB7aWiqIgAiIgAiIgAiIgAiIgAiIgAiI\ngAiIgAiIgAiIgAiIgAhMKIEszPXFeb6CgRx7W0WRLYLF123vOdsqCmTxNaHgpzByWXplGH4XhK0G\nWHTVQ/Q6mrTwinZS8Eq18MpwoopOBERABERABERABERABERABERABERABERABERABERABESgHwEa\noXR2edZfNZjjixOAse+eQlh+0uKr3wH6MeMJyNIrw1VIwev/3rXfjrRE7bnqExaJY/6uLlxL+Kcg\nAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIwuQQw05dl55iF8wJ20ZJ5trg4ZH+55kwr\nC+VObkaU2oQTkKVXhhBT0ooluq0t3mXHMX/X8bYOi3V2WxdUZAUREAEREAEREAEREAEREAEREAER\nEAEREAEREAEREAEREIGpIUCjlC4Yp7DPnn33AUzoxb78Arg9DOJH1tRkS6lOAAGJXhmCSsFr1/Em\nTIoXtd1HmmAiGbM4XB0qiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAITD2BeFe3vXq8\nxepbYrbz6ElbjDm+1iwotRBVMIXTgoBErwxVYwK+QOsicatti1kk0WUxXDwKIiACIiACIiACIiAC\nIiACIiACIiACIiACIiACIiACIiAC04MA5/iKwTsb+/DZl5+XnW3s21c4fQhI9MpQXbZh7q4f7q2x\nwy0dMItMZChWRSMCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIpBJAq4//9VjVlWcb+sW\nl1lhLib8UjgtCMhmLwPVSKuudrg3bOyIuY+m8coAVEUhAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIg\nAiIgAiIgAhNAoAvWXY0dcfdpl+e2CSA8dVHK0isD7HfXtVp9JGb1rTFraY9bjzwbZoCqohABERAB\nERABERABERABERABERABERABERABERABERCBzBNgH35LR6fVw73hK+jfr0P//nsWlmY+IcU46QQk\nemUAeWO005pinZaAxVd3t/x/ZgCpohABERABERABERABERABERABERABERABERABERABERCBCSHQ\nY/gH4SsBt21NsbgFcrImJB1FOvkEJHplgPlvjjZaK0QvujlUEAEREAEREAEREAEREAEREAEREAER\nEAEREAEREAEREAERmP4E2Kf/Ym2rFQWjtvHMiumfYeVwWAISvYZFNPwOTbGEReJd1g0/oAoiIAIi\nIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIALTnwD79FvQt99lsvSa/rU1shxK9BoZpyH3OtjY\nZjFMdpeQa8MhOWmjCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACEwXAuzTP9wUsWAgZ7pk\nSfkYJwGJXuMEyMPb4gmLwwyyR5ZeGaCpKERABERABERABERABERABERABERABERABERABERABERg\n4gmwTz/S2WWdMmiZeNiTlIJErwyAfqO+zQlesvTKAExFIQIiIAIiIAIiIAIiIAIiIAIiIAIiIAIi\nIAIiIAIiIAKTQIBi18GGiGVlyb3hJOCelCQkemUAcxyuDRVEQAREQAREQAREQAREQAREQAREQARE\nQAREQAREQAREQARmDgFaenV29cycDCunwxLIHnYP7SACIiACIiACIiACIiACIiACIiACIiACIiAC\nIiACIiACIiACIiAC05yARK9pXkHKngiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiI\nwPAEJHoNz0h7iIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAITHMCmtMrIxWkSe4y\nglGRiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMAYCUj0GiO4fodlaaK7fjz0QwRE\nQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAQmmYBEr4wAl6VXRjAqEhEQAREQAREQAREQ\nAREQAREQAREQAREQAREQAREQAREQAREYIwHN6TVGcDpMBERABERABERABERABERABERABERABERA\nBERABERABERABERg+hCQ6DV96kI5EQEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAER\nGCMBiV5jBKfDREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEpg8BiV7Tpy6UExEQ\nAREQAREQAREQAREQAREQAREQARGYdQSycnIsKzvHTFOmz7q6V4FFQAREQAREINMEApmOcHbGp7ey\n2VnvKrUIiIAIiIAIiIAIiIAIiIAIiIAIiMB4CeSUVlpPV5d1t9S75Xjj0/EiIAIiIAIiIAKzl4BE\nr9lb9yq5CIiACIiACIiACIiACIiACIiACIiACEw5AVp6KYiACIiACIiACIhAJghI9MoERRl6ZYKi\n4hABERABERABERABERABERABERABEZjNBNi/oj6W2XwGqOwiIAIiIAIiMG4CmtNr3AgVgQiIgAiI\ngAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIwFQTkOg11TWg9EVABERABERABERABERABERA\nBERABERABERABERABERABERABMZNQKLXuBEqAhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQ\nAREQAREQgakmoDm9MlIDcjidEYyKRAREQAREQAREQAREQAREQAREQAREYBYT0KRes7jyVXQREAER\nEAERyAgBWXplBKMiEQEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERmEoCEr2mkr7S\nFgEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERyAgBuTfMCEZFkkkCWfBmwA/+umU2\nlj341dPTg49ZN3/hv78f9rJs7J8XyME3s1z8cMe7fbjVO44rGUeiG7+xX2dXt+GrdXYjRq5QEAER\nEAEREAEREAEREAEREAEREAEREAEREAEREAEREAERmLEEJHploOo8gSYDESmKpJCVYzkQruYUBN0y\nH/aIFKUaYnFLdPVYLJ6wniyqVNkWyMmyeeGQFeTm2Mp5hW5ZgeNys7MtnJdlOaicYI5n0BhJdEHo\n6rHaSMza8X1fY9TaENfBhhaLJ7pFXwREQAREQAREQAREQAREQAREQAREYAoJuP4VNwh2CjOhpEVA\nBERABERABGY0AYleM7r6Jj7ztKAKBQKe+JQDmQlvoNkQlPgOym3pgm80RSsqfu+CJVU3VKsYdCUu\no51dbj2PZRxFeYgf8UK3guiFZbaXXhHEqwB+h7CecYWj2c5Kqz0G0QvxBCBmURzzRa+FRUEnes3N\nh+iFbQU4jvHm5XqiVzje7ay6snFMO/LQDgEsEg9ARItZDCJYrAt5RbwRxM/0DMIafiqIgAiIgAiI\ngAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAjMAAISvTJSSYOoPxmJe2ojCUGJuqhqrs0ryLP3Lp5j\nxRCoFjhLKohJEJZYcgpPfqBGRKspikax7i6Lw4Xg4da4tXUm7OW6NmuKJuy3NQ3W0elZVhUHA/an\nKxa6+M8uKYDABgstpMkoKU4xUODygvebIhq/MW/QtCwbm7lHBCJWFxKOJRJOvIrjN/MRx/Hcvzgc\nsADiXDW30Il3WUkLMgpgEXx2HW+1uvaYPfVWnbVC+IojzwoiIAIiIAIiIAIiIAIiIAIiIAIiIAKT\nRYCtd34UREAEREAEREAERGBsBCR6jY3baX8UhaxSCFIUpRbNCdnc/Fybl5/nBKn8PFhYQW3yJK8k\nCryT0uMgX01zaVmF77k9WZaA4FSW6LEgxKxKWGLlQ6iqagtZR9KdIONfUBh08ReFct18XPBY6EIX\nRCuGrh5PIMvN9ubsothF8WoOLcSw5P4Ut3JhqkWRjaIX5+1qina6ZRSHM8qCQJY7ricvzy3z8JuW\na2HEQ6uxinAehDazhchPE/Lb0G6eO8UuWKZ5WXH50R8REAEREAEREAEREAEREAEREAEREAEREAER\nEAEREAEREIHpR0Ci1/Srk2mRo1IIUF/6ozNtYVHIzi0NQ8Pqsd/XR+xIa8x217ZYa7wL3zsgMHXD\nHWAnRKceiE/Zzq3g4rIwxLGAnVkcciJZVTHELohI65eUOVHr+vMWOksu7k85qzEaw9xaXfbs4ZPW\n0NFpu441OveDHVhHKy8KTrToCkKcoiXYuZi7i/m7eHGpE+UW0J0h1Kq8XIhU2HfPiYibt+vpN+uR\nT1h9UbRCOlnJ0WLQt1z6ebm5Ln/vXVwC0Q2WbAtLEH+hvQ9LCmY/fL3G6iJx+8PxZotqzq9pcV4q\nEyIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIwGAGJXoORmWXrKSpRFKIFVSmsuirCQauE\nxdM8fKd7QIpb9XD91wAx6BiErxaISYdbor2iF8WpLIhYeRClLCfHiV4hfKWrwhDiLMzLsXIISwGI\nUxVumWWYQssdf7C5C8JXp9W0xOwkRK8jrVHMtYU5tvChmMbA/OVBSAvBioxzgLVj22HsVxwLWGcn\nLMmgZM0pCMDSqwcWaObmAuNxPJ4uFWn55f550SXj64KVV44dRbpxqGUUuhh3GJZs3ZYDi6+Qi+dQ\nMBciWReEr+RcX4xYQQREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREYFoRkOg1rapj6jKT\nBVWpCK4G50Ps+upFZ1kF5vCi+0KKXHf/+i0IXnFrhNVTAvNpxSEgUUyiwORpUpSTELgNc3UdbGh1\nwtObJ7Kd+0B4EXRxf/jsBbYA8V9+dpnlQfzaC/+BxyMx2/RfhyB2xa3dzcHVY1HMr0V3hd5MXVx6\nIQ6hqxPbXoo3u3h3HWnw4oeoVgBx7cLFZc5F4UfPLHfzja2cF3aWWv/0hxo7ify3tUfdXF+p8SUQ\n3y8OnXDxPL3vOCzHcm3jOfNd+f/7uZUoa7eVYF1NW8yegyUaxTYFERABERABERABERABERABERAB\nERABERABERABERABERCB6UdAolcm6gSizkwPnBerpCDX5oZznTBFoedAS7vVQow6AouueixTLa/S\nlRdTeDnxqxvzajHEsCSabIhSzrTKbYVFFebeouXUUVhq1UD04oeWXmkDI0BwGhgmDeOyI+EJT5GU\nQ/IDOXYsAlELezCuIlhwlcLtocH6bBEs1vKQhwPROMQ05i0p0iE+xhSB1RpDK7/Doo358UMQ4twC\nzEVGFY9pdEKNS6BcLj/+TlqKgAiIgAiIgAiIgAiIgAiIgAiIgAiMj0Cy/e86EsYXk44WAREQAREQ\nARGYxQQkemWi8qn2zPBQiAmx/mR5pXNpmAWh5zAsm+751VvOEqsB7gG7PNMr6EWjK2sO1LR54ZBV\nQji67KxyJxz9+K06Z4H13KEGa40l3Pxgo413IG66X/xddZNzz7hz/0krh6Xal/5omS0M59nX37vM\n6mDp9eVfvGHHUa44rLsGU60i8W576o1aN1dYI8q9AILZR5aVWxRC18HmOFw7Rq26sQ3uED1hb2A+\n9FsEREAEREAEREAEREAEREAEREAERGAMBLzRrqPudxhDSjpEBERABERABETgNCYg0SsTlTs6HSgT\nKWYsDmadrg1zIXSVQyAqxXxbFKLobvA43BlSLOoXRlnWHMQ9rzAPcQfhgpDuDs3FSausE4jbt9oa\n70guSlB+XK2w3KJFVh3mIMtFguVlYWcBxjnKaOPFucM4xxd9Mw602KINVytcGMLTIiy+oi6/FO7y\ns3NsHizhYt1ddqQJhRglh34M9UMEREAEREAEREAEREAEREAEREAERKA/Ab+d7S/7b9UvERABERAB\nERABERgRAYleI8J0+u7k5vLKz7G5hQHjHFjBnGz7l1dr7BgsoigejTcUY56wT5+30M2RRYsxzq31\nG1h4UUyLJd0UjjeNdMc3xTrtgV3VSDdot164xOaG8uy2tWfZCYh59z6/32ohiEU6EtC9BspeXmxR\nzE1GSzRajK2eXwwxMNc+eEapm9vszbpWi05g3tOVR+tEQAREQAREQAREQAREQAREQAREQAREQARE\nQAREQAREQASGJiDRa2g+p/1WTFVlQcxV5T6w9sqGZVY9BCl+ugYRhEYKhYOzAoivAsLRXIhGbzXH\n7DjibYOY1kEXgxMY6I6RAhclLc4dxt/nlBVaDiy/ypCXWHe3RaNdmOMrvehFi6925LENVl9N8U7L\nDWTZHLiA7IQJGK3VFERABERABERABERABERABERABERABERABERABERABERABKYXAYle06s+Jj03\nubDsOqu0wCrhfjAO/ScK14Zv1LbBtV8MAs/Y561ygldujuXD0mvpnAInNj268y07DAGqGWlMdKCU\nlYBodSIRtW8/f8AWoHx3XbzczdX1pysq3Vxl332h2hqjQ5cxDgavnojg+IRdsrQMseYaXTYqiIAI\niIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAITC8CEr2mV31Mem6o3xTlBawQH85wReuuWFeX\nxfEZT6DFWAkEL34oEtGgivOE8cPptCYjOOELCZ/s6HR5qG/vRD6ynNUZLbzCuQHMA9bt3CwOliXm\nuwMsoviwTLQUk+Q1GbWnNERABERABERABERABERABERABERABERABERABERABERgdAQkeo2O1yB7\nz1wZJC87x84uLbT5sITqgeu+GKyjepysM74yFcEV4DUrK50FWRvibMYcW22wqorSnMwpTOOLf5CK\nGHR1c6zLvrvnqFUWBu0v3lll8/Lz7N1Vc6wGc5e9dKwFc3Slt/ji2tZ4txXmdjtXjXlZdAjJvE9u\n/gctmDaIgAiIgAiIgAiIgAiIgAiIgAiIwGlDQO3t06YqVRAREAEREAERmCICEr2mCPx0SZaWXvmB\nbMuHm0PKXQmaNjlRanw5pEUUhaUyfKJwEUjhi1ZkPYx/CgL0PMxTFoNwBbeHyEMQ+atA3jjX13Du\nCvXKPQUVpiRFQAREQAREQAREQAREQAREQAREYBoQyMag17zcLOMyMIJJvulFB1OZG+cKT6A/hH0O\n5eE8N3S2MZpwfRJcPzW9I9MA6AizwDnix8KNvEtCAVdf8Z5u1xfVHvMGOhcEWYvw6IMB2awB9lGp\nHkZYIZO022D1pytm6AoQt6H5aOvsIyDRKxN1zifmDA0UvQox91ZBbra1dHZbMz7dWXjkj7NMgZws\nW1YcstJQru1taLdazBEW78ZLxjjjHSvmLrzo1LbEMM9Xj71c32oVBUHbeFaFc7e463CzRRLp3Tl6\n4l2uc4mYQByxbkiDLMMUlWOs5ddxIiACIiACIiACIiACIiACIiACIjDtCUzD9nYQA4VXL57jpoUo\nD+W5aQ+G4si5wfc2RKwNylc1+kPm5efawxvfYXkYbPy3z++3Y/A4w/XcT2FwAhWFeWPiVgLet6xd\n6urrtZPtrt9n25v1LqEPnV3uRMjnappc/bRFOp0oNngutGWyCQxWf7yeFAYnIG6Ds9GW2UlAotfs\nrPfeUmdB9XL6DXQuvm551li9m8f8hU4Ag4Ecy83JcS8SLXg4cS4vppWdne2NkMrxxtN0dWe5ETbd\nMMfimkyNs2HZOIYHU3e5+biCcE1YAFMv6F6WQCqlmMeMmQpB8OPLZ2eakVbMbxDb+KFVWIKFUBAB\nERABERABERABERABERABERABEZgVBGjcVYwpHOYEc628IBfWXujTSPalcKAsQ2p/QhSDajlvOvtX\nuJUWGAsx1QL7HfLRT8KlwvAExsoNY7AxcDnPijHHfE1bHPPWd6O+0C+E2uCUF6yzgroci2cnB2bP\n0m4enpsBnIs8l/NwShJDOwfCT5GHJv+MGKz+/O1apicgbum5aO3sJSDRa/bWfW/J83IML114ScOL\nGT+ZCHxolsKcnK4TX29st6NtUTeKKRsvF3MxWieEF72q4qB76ajr6LQY0j3eGrNOWIN1J8Yve1Hw\nyoOYxXTeXl5oRSjg8pJCZ9FWjO+52M6XVeZvObbnI6/7T0ROGWnFl6HKwhAsw/KsFflqwvxeU/0C\nkIn6URwiIAIiIAIiIAIiIAIiIAIiIAIiIALDE6DItWROEH0IefBoU4BBsVkQtXLc4Ngq9BdQLKBl\nF8UVhgimdzjeHnfTK/iimNugP1NKgHV21fIKJzr+ob7NslvNmiNxN9XHlGZsihLPheC1pKzACbQr\nysKuP4wWcbKomqIKUbIiIAIZJSDRK6M4Z2ZkHMTBDwyhDFrQuAOj4Cga+l/mh98pMlXAhzUFo3l4\nKaQV2EKIXxSncrNz8HIIsQ3vhxS/TuLlkBZVY/GtzLSzkCBfSucjvTBGVy1EehS9OKKHFlt5eEGl\nH27uE8jphvVXjhtthaycEijehSCM0Z1BJ/LEl1i+0CqIgAiIgAiIgAiIgAiIgAiIgAiIgAic/gQ4\nLLcDFjARDIJtjXdaHP0KtELizBBF6HOgQ5gIvNu0JzzRqx2iF/sOOKg3ndEMux7Y18A4uGQfQxf3\nHQKl76XHF9HoiYb7T9W86emyynLRcohhNPnjcTnon+GSfUYjLRf3T+XC4zhX2mCB+xejvmhpxz4h\nn6W/P7ePJf/+8f6S8aQrj1+/qemMZm631ONGwne4/XHqufOXFozzMCg8hvOX5+RYgl8PPJ8Zhjuf\nuQ/39I9jXQxXfzxmrMFPZzT589NKzedIr1cey+N4PnGZWl/+eeD2AS9u98/F1P24PV1Izc9Ec0uX\nvtaJwEwhINErIzXFW87MDD2YoKoD7wRR3HXnQHwKwh0hHwbe7Xn0ZXJHZsOEH+85IcRFFwDvmBe2\nc0oL7MZVi52AFIa/QTzPnPk/U8iFoESz/8b2TquD4PXt3YetHstWjLgZ7QscH0AlELs4Z9eX3r3E\nCW2lQYprZm2d8NWMF8MoypvHFxys4+OHghg/dLroGXT3lZui3RKIc5ybbF9Th9U6QY7bWVIFERAB\nERABERABERABERABERABERCBzBFgW3t6tbfbIHZtebXWCQKcv5yDac+YG3YuC88u8SxkHnr+kJur\nixwodLVjYC/7OeLwGNO/PBS6sq3IDQo2y0d83K++hYN/0ws27BbPy8UH6S4ozGcSdrytw1nmxOMU\niVK70d3mKfnjWw4xv6PJHwWi8mLMlYb+lw5Me0EOnGtrIDfvd9/5wf6fwnCu41IG4YYcOVfacMd5\ncPx4/CX6psCXlk+jzf9A2IOVh/lj8NPh99HM7eYfN9L8Dbd/HvoA31ZW6CwYV5WHIegmHMv+/JjL\noYN/fnJg+Rz0nfF8HOp89mMbX/35sQy/HGv+/Jj9fLJ8I7le/eN8/jyvG2IQyyHIps4h5+drtNe1\nnx8eN/rz3s+dliJw+hOQ6HX61/GQJeTDiFZV/EB7gtXV+F8uOdKAo2ZwX8doBYhpGElDKyn6tKbV\nFC2rmExOLgQ2/AvmYU4vPPuDOIDr6XuZ+7dDBButK0GmPQ/Hz4fbgfnhoHNLWIR0GLIwDKsTL1Dd\nnQmXLwp+TNfzsp2+3BQA6bqAXOiigGbePGa6BObaG7HCUUrMWPpy+Pl19Q2juunyUuznS0sRGAsB\n3j9wO3HiNV2n8p4T4DUw9GXgGqFxN+qyB0I4R5ThHxogE3lpp16nfEnN40jGEeQzwXzhg9tPxvLp\nc2Pyk1X+sdSvjhEBERABERABERABERCB6UCA/RKcp9wP7GwupmcZ9DVQyODnJKZt4CDeoQLbAQXo\nE+Gg2x4Luvf8fMaBToYcvO/TOqwB8fjiCAfpUuzKRdthHvo48nAsPei40NMNQQ37Z3U6i7I4Ji8f\nzFaMne6c34rpdyMtxt+GBobf38LtZfmFPSGPAABAAElEQVSYqwxLtqW4vQH9MWyLMLh8Y/oILpkn\nHsfj2YBi/ngcBzwzfwuQT7Z9srGRnfwt7QmXv9T0uH85ysF0XdnRlisPh9xxJzti4ADLOWwbLDAf\nheDGeqiAZx9XH2DKssXjXchLDgZhe9ZcqXGwNKxH7s8+MO7PuNg2K80POI9EzD8baj1oL3JutuMJ\nzxNRajwDvw9WHvZPca439kMdw4dlLcDgcHJinxVLmIAFIS2sGjuQDrhid9fuYxp+/Y+UL9uNZM/9\nhyoPq7UEU3yUQChkPtiHVoLzI4AMLQJPnm+NUS8/nAFlsJYy648uI9n/V4D+Pi5LeX7yvEB/G+v/\nZPI8Sm1vj7b+mA4HojNf6c5ftm/zkHmXHwyyZ355HTGMJX+p9cm6YV9DCTixfCO5XgfWF4+n9yie\nTx0dCesB07Fc16Pl5gDojwjMYgISvWZx5bPoeO5aHSyq+JBYVhxyI2p4Ix1r4LFz8MCckx90DwTe\n2M+FlVdzLGHbjzS4h95cWF7xhetDZ5S6l0Q+RPnwz8aLRxEeZP99ebnVRGL2yO4jeNCmH+k0WP7m\nIN4/P3+hVULwysdMnJ14EQzmcqLZLLg6zHFi2pHWqBOu2hOdeFFLOCErgiVfgAYGHIaHZB5G4uTY\n7+tb3cgt30/3wH2n4rd76KWMbOJL1VCBLx3eSKJ0pR3qSG0TgelHIBeCNEficTJoumNg46U8hMbT\nCK4D+tzvQEMt3YirTJeUDY/ekZlF+e6+R5/pzO9QgQ2kasyHyHwexn2L957UkWFDHTvUNp8bGwWT\nUf6h8qJtIiACIiACIiACIiACIjBbCHAQ8LrFpRbFe/1ieJTh4Fq//4WuEOnx5t7nDrglmbA/ZfWi\nObYA/RvXrah07YgjEa8/owx9JxyY+29v1EFsi9mLR5qtg50raQL7Xz79rsWuH6YeIlRjtNO27D1u\nLeinYaDgddtFy5zHHPabMB9f3fGmi5fbCyAwfejscnc8O/05GJjHU8zx83ftuQtc/o4iLwyLIWJx\noOGzR5rsOPp3UtOjcPfwxpXOwuhQS7vrp6Gg0QbB6qmDJ136zW2eaOEiG/CHQsaVKxY4LusXlzjR\nqjrJpRRlZXunBP04UVjbpbYNGf8T++rduuqWqLNsKigI2Fy0If9qzVInrDSCCUWTIPJzAkLU3+7c\n31sfA7LR+3Ow8rC9NTdZTz/aV+fExHWoTw4Ej0N54vZF8FLUhDTv3XXAcfIspLz+mtT6HwnfCMpH\nyzd6PhqqPOh+s1vWLrHFRSF713zmh9OAQFBCnt5ZXuw8HP3t8wdc/9dQ/Ud07fkJ9L9x4HoFziFy\nL4boxPOaIhqFpzt/s9+VK7UdO9r6889fAk93/nIKkxXzi9z5dOVZ81y7mdcRz8+x5M+vTwptL9Q1\nu/NzPsrIfsWRXq+p9UWRkdcrz6c7tu9zwqt/3Yzmuh4tt94TVF9EYJYSkOg1SyveLzZHW0QwcoG+\np/nApbnu0LKJf+QgSxxMAY3/KFdx9AwFr5N4qTrexhE73ViH9UiXj3E+MHJggQVjC7cvHwZzMYKi\nE1+Yn9EGHlOOhxEfulGMmEngIRcNdruHLh+8NJPnCCymUxT0Huox7MMPWfiB+c/FSJE8vIxwPjKO\nUmrBcCO+FPqjofx9M7lkurRccSNz2Hk/DAKOGCl2Lxcwa8ZyOGbsRO8GF7dExlniGF6UOZIrgvVc\npo7AyWTZFJcIjIcAhSOe32GMMOT1EUyO7FuCF/UQvs/DSyTdjJTi/sH9unCu913R3r2GlxMbPRR/\n2UBsR6Mw3IEGB343wsUIX4ophPM6oBsS7y41ulwzn7yLBjHikfngSD6mmY/7DRsSC5FfjghlA4P5\n5X2S+WR+GXKwjvmkHObmAMCS+eS6KG6eTbhH874WwTrmM5Yc0Zl6/8KuaQPzwxF9FAmrkD7zSkps\nHEfQ+HU3xrRHaqUIiIAIiIAIiIAIiIAIiMB4CfBN31medMGSCI0Avs+zFcD3dM5BTuGHAhPFMTTP\n3VQQCyF4UfRiW4L9J5wDyj+G7YkFEJDouyJV3BmYTxzm2gCFECSywsn5rLCSbQzOiU43bBVoR1VC\niAtj0DCnfgihP4Sd/GymMH/l2M65n7qQFvtV6MKPk5otSuaP87ZznT9HFds4PI5zrTMdimkUwWiR\nxvULUV5652lH+4siIIUftn/IhJ90wfWXIE8sNy2SWHb2YdEyq49LNvpwOC872zo8gql7gf1QNeiX\nYvp0P8l+pzDyXRxEexIDtzmI+iQtnNCPxX6gkbSxGHNveSA2tWDON5anDf1HPfDGw3pjaVheDvbm\nvPOs53akAxMilyaKBFEEfVho753M4qD0ZL3gPBgNX54XRajj8ZYH0Yw4sE3Jj+tHQkFZh3TfSdGL\nBac1Gee4a0d7k2IbcIy6/hA9jsH5hS8LCtmu9trafiZ57pciHbr6K0S62UjPr/XR5M8/7/z6pAXc\nodYOV59MayTXq19f7KPgfF48L9F8d8eSkbveUK+jua55Do+Fm89HSxGYrQQkemWi5v27aSbimuQ4\nOLrk9YY2NxnrHy+b6x4MfGfofUKMMj+4l7uXhwheIGidcAyfrz+3340Q4YOOL01VpWG8oATtijPn\nWiFeMPiAp5B0DA8TLs+eU4BROTT5xoZRsuXDrgwvY/k4/udvwbIMD9x3zM1384vlo7OcI5q+vava\niWDfuuRtfHTYkba4HcUn1dU2H6Jnlxe6F6l8uF+M4yl1CJYhR2F1wZfP0eZrpBjpH3wpLOP4QnTb\n2mUQ8HKHOZQPezpoxD+UfThc7MRH/7Z74PLlsh2FeQEWbBzJtfXNerxowvoN5uf+w36YxLVZBCaF\nAF9UeT/gC/PVb690LhjeVV7kxKNiiDh8KeW9hed3FI0oXvcHWzpwrfKO5F2ubFyycUSRjI0M7sPN\nPfhD0est7M8GztZ9J6weI7D21rXCzYR3/EgL6eeTDdW1i0qdEHfR4jku38uK812Dh/co/HejEZlf\nXoMcDMD8MpyB/ZjPAtyveEWzYcZ8UhRjeTivIK/TbQcbXD6fP9roGhH0tjJco6wE95ObL1zi7mur\nKopcuv/2er27rz0VqcPISt7cFERABERABERABERABERgCgmwUTtcw3YKs+eS9vOYmk9/Xbq8Jfdj\n530B2jVN0YT9P/9V7QYIs51DUeu+D5yDAXJBe8eCYpsHy6jD6Hugdch1aP+w8/wffl/tvPQcbY66\nAXJnYu50ClHXvG2BG8T26+pGN4AvXfIc5PtibSvaUUG7ZGmpzYcrPyeioWFSCI8ZRfj4Fiw8nm2W\n8jlB68SAXFoeUUB614JCJ5xtQb8BBxIHIRQxfze9c7HL39/tOugsepg/uqArwHbm78trznR9PG82\ntbvtLx5t7q1fikD16KM5BiHqn1484iyD2hLJQYhUCgbwzUF/CfNFge6yZfNcPu/dtd8JWUyXKksl\n2lPsT7l73VlwI5kykBhxsU9q21t1LtoOtPXyIT6sXVDm8tmKOeDr4VrxW7896MpHHuwXaUD++uUj\nHeBkPtnG3NvQ4cqz5TVYwqF8axaVQKgJ2idgCcf+rk0vH3UDwl+pbXE8P3X+YgzIDtjFVWVIN27/\nQgu0GKYHQZ1Q2BsNX87JRWGT7jOHLA/K8NCuQ66d+pFz5jv3huei34wWfA+hv4xuOnvdGw7R/8W6\n2vxqjWuPd6PsKJ47j0pwXvzZqkVO6HwfLBtZrn9rr3FtX87dxgGgo6k/ioE7jzY5C7k/BUfW4/dR\nd369hNB2XgeLP06p8uzhJncetaP9THeCo8lfZyzZHk4978CKFmvf+/1RJ8wOdb3Og3DJ+uK19fe/\nP+LO9zfr29ygcw5YZ+jEYmFJaFTXNUXUsXBzCTLZAeVx6/VHBGYBAYles6CShyoiH7o08fY6O70R\nNxydw5ccPLNcJ/JQx6fbxhcXjoxh4EsCH5i1eGljYGdzcyzuXvSOJi2/uJ438Vq4WeSLxdml5kYV\nDS/h8MhTA58lvKd3QHijhQRfoPjQYUcyXy7Zsc2XG5bPzfOFL+z0TrXqYD5oykyrCM79xZFM7Jim\n+DWRgfnmKKsQxEAKg/SvzECczHcSq1vX92fkTzCWqxBuHxn4ItSBl4cqPMDp73oRXjxoAVKN84E8\n8L8fk7709E0EJo8AhSSO3ivHSz8tOKvw4s/rgg0Hnrd8LeVVyRdh3m/o0oHXKq0yfdGLZzy3cX6+\nVviaz83x5jDk9cCRdrwPLsY1HsZ9YTHcvNKNRB0aG948fp5F1VAl5r0Kl46XT4w2LEIDbzHyOQ8i\nExtcxUjD96HvrCxxIbfi3sR0KT6zEeq7FuGS+Ux0ez738f7u7oscKQav/7hnBd3oz8VoELP8R5Df\nVowirMd9jqPqKGqn3stS841oHUM2Pumrnvddjriki5LkO3jq7vouAiIgAiIgAiIgAiIgAiKQQQIc\npEZPOy3otK9DHwld6bETnYP4+C6fAwuZQrQlirogXMQoXgR6LYH849iRzzYS2ypFiIvWSfloF7DP\nw7fMGtgeYLuDadEai67s0OMDDxNIF8dwbiz2j8TQRqEHIEg9rj+gAOJJYR7cwWd3on/I24/tJPYf\nteJDIYxeOMLYj6EWbg2PQKirR78O2155cVqJYYAhppwIZOVAYAk4EYJtMD8wX7Twomcg9hk5gcnf\nmGbJQ5kehR1yw+FOWPDT5SE9LBfaUBzAyAHCqYHpMf9+6O7BQEPEyTx5H3og8uZWS/WE4+8/3JL9\nNRygyL4b9m+xTjlokXXD/hdyOYnfdPfIfjK6OWyG0MR6KEI/TaKb7TK0LvFhnYyWL88jhpGUh8Il\n28vkz/yxbcj6P4Y6HG5uOp8Dy8vjmC6nmPdS56BN78Pf7FPrwjnAfZi9sdQfuXEAe2cu2vSod9Sw\nyzO9OfGMZR9aGdJhPxrP8xPYl+feaPPnl8tfuvMF1xnriOfnUNdrOJrTW19sW3N/Tq1CluxfY2C/\nRkVxcNTXNd1GFsICc6znvV8eLUVgthGQ6JWRGvdu7RmJapIjYQfpoUb4UIa1AS0eaOFUjs7UTrwc\nnGjFxKV4SI8mUCCKsdOZptz47oJbet/5AsEROLUtMbtp22t48CUfjHz64cWE5u3nVxRDHEMPsntk\nJuMYYSaY2444TNHR7csHXwwi13dfPOpeCJ0YhnTy8LJRhnQo7PFB2IEHIj/m5xdx8GG5DiNy6AuZ\nD1d+EvTBmHyMjzA7Y9gtfXn58ve3zx+ED+DB/VqPJDEKf2/DXEJ8MV5dUehcK7x34Rx36Hsr5+Dl\nK27f6OdLenT1P5I8aB8RGCkBz3LKnOD1l2uWOSH4vHmF7oW5Bo2qatyj/v3NE24k3oHGNjcBMC55\n95I9lHtDjpSsgK/zORC2/xtGCNL/+HsXltjS4gKI7mG4pOiyn1c3OAuoH+ypgVA/9HXHew3nFuP9\n4sZVC91IQYpzWO0GFFCIewIjIhuRud0Y0ccRdPW0LsXLL68wNsXSuTdkPsvhYoQj1i6YXwwhPmDr\nKkvcSzJHfOLd366LVjpLzW+/eNg1njyf64Ndt+nvL159TMb9baQ1r/1EQAREQAREQAREQARmL4GZ\n8F7q5zH1/dpfl67mvP0oKvzsYKObr7cdogz7TOhWPQKPC4fQR0JhpLIgH/MiYV4mDPij6EXPD/QB\nccG8OXZWMaygFnjv+mwrcP6qxRhkx8GsC+aErBPtD29OqP7tAQ7efRmeLJqKOjH/+VKXQfaJsMFy\nAeZCYnvjD/URJyRwUBw7+1eWFcG1Xr41RjrdILlytHXYcHkD+7F/4vzKYmdxtQ8WXByAeLQx5tol\n7N+nLxqWqznaZb+C5Q3bMUvp0Qftr19XNyH99Dz89X0E+/PNQz/RmRj0R1d2bzZ1OIuf1HR5HMuf\nnciyl0+0ucGIfQOXT62fOPqDXm/sgIVcj3OVSFeHn4KlzjEIFj969bgTsJzbeza8hgxePjn4cndt\nW3I+Zq9+T6ItWUDBC1yYl7113nY0Cd1gxxPog6E2d+5cr51LcYiDxc9Bvw0t80bDl4O+f36owYlp\ndP04fHn68+3rg0tdP3jBc+Fy8Cy0gzlg/CJ4OqGASlGVgzOXlRRAfEN94PyhhycKPhx//TZ4NmK5\nRlN/rANy4/WQi3MnhIgqcL53o0ORFnucImUl+DG8fsLz0ETWo81f3/nnlX+k12thINexpojp19c+\nXCcUgtnn6sfL/rjz4XFlIfoKRnNd5+E6f/vcsJsfbjTcmHJfnXq/9FcEZhMBiV6zqbbTlJUjgDBw\nwZnbcvREDh4gfJAUwRqiIWvojt400SE2PK2T7wPuO3ainuUHruNNn1OD1mAEiR84EiUPDy6OMOHo\nJ77UUZQarcUZ30ViEOrotjGE4/lQ5cgVv9OandML8cLl+X3GyA/+40uZy3My48gUXzQ4EqkYLycc\n4cNOcL74TVXwfU8fxyiR8QTPbRpM3TFqrAITtrKMFTDB5ogtugigyEDLFJa1ARPHUqScjcGNHcK5\nw/OA1wNPYfr85jVCH+S0C1SYeAKoAueTm+LUIry0L8SHVkmshzo0DjhqiqP6KAYfhmWWs8YcgZs/\nXv/Rni6bg5sfR1/R+ooNN17vbEDR4pGWlrzk6Ra1HY0m3rf8e5pfct6n8jB3F/enZRetz+jDey5E\nNI7GosXrCbjI4D3oCBqxTINuSpzohcbYcIMKXD5xtrERSn/ikXiuHSuOWkkiYGEIdLQIq8R1m4fz\ndAkaf5zr7CQsvrLBQOepX0taioAIiIAIiIAIiIAIiMD0IOBbjrShHeL1L6CFgTYH+0BoDdLZjfmo\n0Ahivwgtffi+3w1hjPtQGaGIkI1tfkBzw7UxKHq5SQ/QHkgX2KyPIk1OQUHrHrZzOW8Y5xpmO4Np\nNWPgclZWt3OVyP4ZeqpA8hBsAm4+ZQ7SYzuMAhfzSisbfhgf22HO6wQzlAzMM8tIizT2Q9CFH5ep\nOTyVh390+iWLRzZsaw2WLvswmBfmKdjF+bT68jQwVuYxAs8bnIeLAxS74GiHA4TZjuNczPS2UYN2\nJtPyBnUPHhfjZnlo+cSPV78Y3Ij88MN88F8MGeTHC+gfQ5TQZ9yASfZ/kY8rJ9qso+WbwPlDTyJs\nZ46sPMlsjHLBXKIJjPOGrjkhQqKPjecQ+9uYf1LiucLAKTxYX73lGkP9+dxycX5G0S+Thx7DIgjD\nHUF6cEk4TyhMi2nyHI+hD4+WjKPNH+NIDaeen8gJinXq9erNM5daX+56ZsWmBPa3URAc7XVN14iZ\nPO9TsqSvInBaE5DodVpX78gLx3cTvngV4Sb8blgS0Nz6OCyyfDPckcc0tj354HAWYhCX3IgHvMfN\nhSUGO6ZPYmQIXxJGEvhyUt3abuV4W1mOESR8+NJ6zQ98BJfCXUAJPh0QL/gi1P8x5O3Jh/I5GJnC\nzuat++udj2i+uExVSOBhSYu8I62em8ix5oMvT29h5AuembbldXTwQ0z4M1imUOiir2W6OLz1giVu\nZNJtO/ZZrTcsZazJzdjj+LJJn8l0p0ff23x5+RV8SNMX9YtHW1xDYMYWbgZlnALXB5bMsyqclyvm\nFTk3gY2ogxoIXvQZz0mIGzr4Uk/xntcyX0L7rvfBikoLz/rWuBN2H20+6ubPeg71y+vgL9+1xF0X\nF8PSk64onoHFF4Uxz4Kq/92CYvHqhcXO1/pnMSKQ7gw5uTMbdvR1T9eqT2PZgmF8fPnmfZb3HL48\nj+R24vIJsYyTGR9vgu9+d90edw2xP1mxwOX3Q2fMtao5+Xb7mqVO/PtH+A7n3IM6Twerfa0XAREQ\nAREQAREQAREQgZlBgP0k7Zg3iaLLa5hjnO7VUgPlrz0nvTmDDjS0u3aqL7ak7sd44hBaWnH8ruOc\nSyobllch9I5k2YYlpU4s+F8v1zjLJvaZcC7l/2vVAieO1aBNRDHh5ZNe/GzPnC7Bb281o8/pq7/a\nb2Voz31sOdufQbv/A8udoPiVHW+4/jHP4mt6l9wvD/v2RlKesZaG/WX0dFKJ9vNnMScZRdLvYq4y\nDkytRr8Vxc3Llpe7waD0pJKpwHPvBVh8FeP8vHBBkXOXWYsBsOyv+cPJiBuwznOcotQSpFsJrymT\nmb+RlnO017UzBuBBCiIgAqMiINFrVLhO3515+6RvaI46KKYglICPZyokow58bfJvxjye3dDDB7cX\nduR9nC9UWfCtzA5lfrwxISOJxRtZwxFKoZxujMzJRQczRif1xuCVhzENFhtTC8JyowDDq/igxuAa\na0SnOjvW/ZEqw5cm83uQTyeEr0yIkDFYjjA042WAI4yOQODMwksC3VvmotzleNHjek4GypeZdBYu\nmS/h9IqRZwpHKdGCh0IIhVO++PMli8KDwuQQ4D2Ivrmdf27UB6oBE/J2WVPSp3Yd3AXQLQRfavtC\n6ve+tanfeD2xrQYnrO6a6khgbixaniJ++ninWwIKbhS950IY5kS5R1Luh7wncWQbr5FFGNlGlyKc\nfHoO9m/mKEFcW0chUFN8ovBFy66xBObTGwTYd+3zumV+DkOIo4jWAH/xXS6fec6ClXnBYfZqbhsG\nEAw9x9dY8qRjREAEREAEREAEREAEREAEJpYA2zccdEsxgcIWP1GYBHXAgoVWTKmhGe0Xz+oJA4ix\nLX1rCC0LbGDboglzrCd6MFcYvPvkoXFLyyZab9FCyJ9nGN0w6FPJcf1D8/IDrh3MebzasA9FNcYV\nR1p0D0jBgX0n9FLRN6cYrZVomcZ5v+DyDu0ml3+kkz5/qSUa/LvPhXMiI0qXLl0B+unySGQF27z+\nHLbjvf6k9HEyL+znYT8LXRpyXnjOdUWrGrrAD6JsnPqCZcNQ7HHlPX0O0q8dK1+64+Mg8pGWpy91\nzmnGucC4xv3p25TmGy2WWK9FmFttDtrrrJcmWMrVY4BqPURS9qPQ+rDPtaQXyXjrj3V1ot0bFF+K\n+unGPNjMLuuR6XOwKQfEciXnQxtt/tIUdUSr/Pri+Z7+evDOer/87tpGzCO9rnMxsLcD52imzvsR\nFUo7icBpQECi12lQiZkoAl+S3myOYS6aHlsKN11FeMhT8Bht4BEBPFwonvC797gZeSzcn/PcsLOb\nVjYUGerc3GIji4MPj51Hm20xLZYWLobrPpjQ5+EBDgOpbrwY8QWNHdIFuQln6syXl9RSUmS7cJHn\nY5fb2uFbe/fxVjeZZ58J+sjyMhP24kvrj16tcZY0G5eWwZVfjpXDhVwXoJyJkTusx0PwcU3BbTYF\nnH5WgJf8EogJK+E7mS/xe+CTmS9ZfJFRmBwCbKSci/OQll78zhfnX8Ii6zAEJfqH90bbjb8++DL+\nOkaMNWCerZ3HWnD/CNoajByj+HXpGWVOYHoT9c+BAQz+yLZFuFd+bvVi+CTPSwpemEPwpaMQu2L2\nLHypU+xqR8M004HC3Na9tU6UOwAf+nTF+BmMsKPo9pnzFzkLNY54o+iWzkIt0/lRfCIgAiIgAiIg\nAiIgAiIgApkjwM7tl9A+4fv9Z8+vcn0W8W4M/sP8UPVwt+d17FNYgrs/tFnYWu9AG8ETpAZvH7FP\n48XaVje1wQeqytyA53mY7qAeQsIJtLGOoz3kAvYLYv6sMgwAfH9VKcSwLnv+WBM8S8SdkMH+ozdg\nWca5yCrRf8CwsCRk0NLcnFpsN+ehb4WCyPuqSpwrxX/de9xZTLHPhnM/jSX4XNj++nO0fxgWlWJu\np2S6/E2PLfRgw7mgKba9XBfh6rTB4+cNtG7DYMJ2fDa9cMS1B9dhzmdaFJUU5ForxDC6zEtnRZc2\n4nGuHCtfeirhVPSc720k5fGzSQ5h1FcX3EGOpLuDbvWrivIw8DPXiU0clLkfFof0GMUmcxH64JbM\nCbrzjIKkH/z6qypKjKn+mM5/HjqJgckh+8qFS9z52YJ64TQC//yHY975hXN3rPnz8znapV9fFNnS\nXQ/+9eqXvwHlH811zT6o32OuOFogZuK8H235tL8IzFQCEr0yUnN9N/GMRDcFkfDh3YaHRQE+FQW0\ndPLto0ZXNj4gA3g5ysnyHpZ0NYaoEUYeD31RM/DGns143K+RHY/3Jzd/TmEe5yOj72C8aGHkUivm\nwmmGtRazwo5yz2KKY368fPIbt9FseF4+5uTByx1HyHDEE308c8TMaMvhsj2mP+nK6q/zl2OK+JSD\nqGXRMq44zysjRUYKPHkQ/AohgNHSxRN5MpvuKRmZhis4eonnM3nQ3zmFWP+8Hs35PA2LNmOyxLMu\nCPGRdcDvtHyiiMRP/wbd+M5PXvux5MjJFlzvrZ2cvNkb6VaMa6AYoyBTR73xXKiAZdcCuEtgI5FW\ngBz5SL/pR+HS4Qgai834TpHOC+PLXzKS3gXzxnkG+XLNtHiiMm3mi3nhfZB568RN6yhE6/7na7q8\n+Ov8ZW9S+iICIiACIiACIiACIiACk0jAfx/1l5OY9KiTSs2j/91fpossdZv/3V9yf373ftMiJILp\nGLLhpaUVniQoYpThPZ8uCjvRDuBAYbbT2WZF0x2DM2EJhvVen4UfF5f9A9tQjWj/BwOY3xjtfYpq\nbDNEYbXFga5sXzDwO9exT4T7sLOE/UXNELm8dhiszuDMIoL8tCI+5m8+xC9XAoge3YinAB6EyiFO\nBdCnw3nJOM9xE/ZNJoFUBpadKaeu42+GvnUeF6SJvNB9vJeuNxdzljc+EaJDCIMSgyijZ6HVF4fL\nnfcz+ZeWNoXBPLSj0PZDxlxKYMp4yZrtLOa3z4V+X176ReR+pG4b7ru/nctTv7OcY+FLS70CWvDB\n89FIyoNk0NfFtCAU4USiVRvnemegwOTOK6hYfXXmNrk/XahTbve3sR3qD5YuQX9aEPFRfPKCt/TP\n67HWH9PiORRG/xX7CcIQmXpQ8Ryc2oJzsynmnZ9sF48lf311wVz7eU/9PnBdX7lYX9mYcyzd9cD5\n8LJ5oSKw36EVeR3Ndc3rKYJzfqzc+pfFZUN/RGBWEJDolYFqptn2TA80kX/1RIs1wWLgXRVhC6GH\nl4NvRlu2HNzI5+EhOQ8vGZSY6F6Lz7mRxsN9c2gGD6BxPIHjOJ5hpMezHK/Vt1oLrBw4SomTr175\ntoXOUosWTXwJOAHrhxDSob9jPqJyUNBsjADqwYOeJtD/DT6taWV2GHODccRTO02k4UebL5Se7Rpz\nNDHBpcFkXFqpaSCvWD9SDqlHDvWdYl8co5ZoOfIqfCDTHHxlWaFzc/A2LAvwErEf6weapQ8V5+mw\nbbLr4XRgNhFlcJfBJF4PHJFY3dzhXH0mFmJ0Ilo/Ybz4c9Qb31H9648jFj+9stJZoPEew+vniTfr\nnIXXLw+exMt2p3P14e8/EWwYJ12KvHis0fajgcFGJi2+/uTsCnff+/TKhc5C7bYTbRbFiDuGyebp\nEtUfERABERABERABERABERgxAa/di/kORnzEVOx4at/A0O11r3nPMrFxw9B//77t2Ae7sBekLRpF\nv4bZwy8dg0UNLJveudgNBtwPTw8Uo+iVggLUSfRx0KXcP714GAPhOPh38MD+kpfRX9IUDUEcCrp2\nAy1n6DqdbQu//cLvL9Q2u/bOpUvKXD/K65hTjPsxDpaE+TvWlbBNmMuJ+aPlCgeLMn/cfgbmHaaF\ny3/VtlgtBgburmnBgNtOJ4z0lTc9D78EA/ej6NEWhTUR+mf+5dXjLt3PvbPKuZRjuuRWScELolUn\n+jla4MrRaWE4n1g2v3x+/AUQ9NYvLXXi3AXl6P8A08I8T5x4CxZ15HoU8Z6gBRWrZpDzcmA+/fr1\n0iENPwysd0bKD7dzP287v42FL9uz68+Yh/64XBtJeWh195uaBjdH9VWYy4weT7560ZnOO9JOWPax\n/DsPNUIA6++un+fHSziP6jrY/pzvzpPbL1rWa4HIQZjNycHjMAY7pVw1PV1jqj+e7ydaOywPy1b0\nXbm6gviWgPpW3UgPTTg3kDZ8PI0pf379Dlafp2736s6/XpvbLe31QHGwAnXSgH7Kr/3qTTvaEhnV\ndU3XjTwfxsrNzzdrQkEEZhMBiV4ZqW3/QZ2RyKYkEjwznOVAITpvOSqCPpCzIXzxQ92JD92RBD4c\nfMsMHsV4vTA0I7cVf2hN4SyL8ODngwuDSxgLohj6eD8V7smRExyVchIPhh5kqBwPF44ooUsy5g/P\nZyd4uVjxmyOPcrPwwhjwTPA5QoVWTm+h8/sEHkp8cWD6/DvSfLhdx/wnXVn9df5yzJH3O9CVyVnj\n9Tj/wBS3+M+rR/rBhsWfSzJ9ulwbINdkrNw3D5Z+DHS/4Nc/02F9egzd5nH9GZguI/Ms0jjSqH8q\n/Mk1FDn7bxkuC36pUvfz1/nL1G3Df+dRwO140ddzahiY/7HnOzXW9N+ZMq0aufTq1+PH77weyIkv\ntnyxHyrw+NT6576ZLAeT961F+Z05DuJ88yy/XO6ZZMYCr/VGuE3MDyRcg47p1OMe0IB7iWvkIH2W\nl425cgjj8+BHnPdLNjqPoyF3DEI7Jw2mv3ovMI8TF5gnptWW3eXSZl44WCCEJfNGS1Va7XKUoxup\n6LKSLk/+On85cXlWzCIgAiIgAiIgAiIgAiIwOAH/fdRfDr7nVG9B1wksZHpcRzvb0fiPkD7f3Ma2\ngueynZ5n/Nx7+3P7SZiK0P0ZPbHQiwTdxLENS08S3J2uCWk5QyukLLzz0zsL2y/479pMXozp0/dT\nY+d8FBZkdEtIV3jtSORYWydEKX8Ocz8/PW5dTlan1WE/5ofH8FjGwaL2wI8ey13z/7P3JlCSZld9\n58t9Xyqrsvaq3tWbuiUhCQltljE7A4iBAxgQjI+GsWBsn/GcMR42n2PwYfOxjcEzAg4GcwDBGZYx\n42GRYEBIrQW1mpbUUm/q6u7al8zKfV/n/7tffFmRUZGZEZGRVZlZ/1cVGV9EfN9bfu99Ee++++69\nahd1QIGCjEv9SORE/a5Oa0OyHqzRsFZD2opHnFTmPPiwnoP3nkviQl2wTsvLRT6iTOoCb9oXCgPV\nnc/K9U8ub7IGRiwv5GGUdVcUPxplHTIVipQslee7cXtU103GCXWaUt3ampZjwzWbKcmLqtbClzqS\nJ/1RSXtYJ5tcUDwujTkUXLBjnQAOGausL0u55RZbE7KsIs42m93xitPYlN0HrMnkMjQLIFj5rWtX\njf0HF/qCPrnMfcEbSozRWY1N1g9JtdYvb+fG/ZnfH+XvV8ZiufuBFbLMa5DWWlTnRbW/mvuaZsZ4\nqJFb3i7YOJnAnUTASq87qbc3aSsBSF+UGyxM1vmhk8FT6pebvxn9aIzrRyz/Mdkki/iIRdeDXc1p\nQI9lBYaKmDtbXaTPdVlqk1l5h1yFoWghXdEujcvyK537v403K/zDro/fev6yfP22pX/0yNE019uW\n/qC7Iy3Ihmxq9obVAz/ofQrMOquZU0uj3JVhLdHTERO0P3vlerqo8qeZpTiVJYAi8dQBWYbpmcTk\n6GHFYCI9Jx/fmRtJJnqr6fzoVDzHh9v8U1ouO+2wxiHhYoFJDokJH8FoKX9Y2+RqGUuRUb3+CFNr\nc3PwOio/47niq7T+CDc7We9w49nbEfXo0P3Ga/jRf6d720Og+vCZa2HBtFnTt+qH7baDbpyWoMKD\nY8bZQ4qx1qUdefmY26x+1X6GIPYXL1+Ta4eU/qu+PxjVi5rAM7Ee067JvL340j6u7xTcdTD0cQfx\n14rhRayxGy4Nqy299vPz8tmZ9633DSYcUhzSd9mq+vWRw72pp2M+vTA0UXsBvtIETMAETMAETMAE\nTMAETGCNAG7czkm+vTQ+ld73J5OhpBgqrDOsnVR0gGLg/X/+bMgXowsLIV+wKTRPyBq/+OSrsQk4\nV6Ahm5D+7uJoyCefOjcS8toJxc7Cw86sZKRFKXeuTMyH/IZXmy2TilyQldSFiaX0/j9TfZBlJC8j\n76BwyRPHf/zClSj3tz9/IWSxa1hY6bxiYyc21uFp56XrKX1ellzESKd+bFZEEcF6wLi856AMyNtD\nGVvxyOux0XlL2mD7hCzUkAmfvDIeXHq1cRk3cOfHFfNM5ZL4OyeO0hWsKz8+1B/q9OEzQ1HvT10e\ni/AYbOLk+kvKB0VjJVw3qiflbDZO8vKRKWkL6xeMhTzVwrea9lDelOK0nZUF3g//zUuxuRM3/qwJ\nvnBtMmTbPK51Xiee8+vmFAPtRwvXnerviE3zWDPR76PyNsJ6ADG9GOrF7SLP7fTfiOr84x99SQrK\nrFb0L+/labv126w/KWOj+5U1i3L3A2MKxSLKOqwxWZeq5b7eLrecj59N4E4hYKXXndLTW7QTJQG7\nlFg85YcJ5VWPzLp7NHGYnOVHSt/eFSZ+d3hwRaVX8SOAaTLuBXWoH9EsnhYxpmpJXMYkC6UCOyo6\n9Gt4QC7J2Okzqx/mSKocEzas2Vo0OTsiC6/D8j2MJQ6TxzFZfGQ+pyttRS01vb3XRD/xR9CxoGGi\nRe/R3fwg8+A43g2WBDhFSZISypJMSdIqzpnCideYbZOmFttissNxuEBYbI/X81Iw0j8zmmwz+dnM\nAoxyUchQLfw1Uy6+oYvLxcqGMdMuCzN6qlv5UucmTlbC1zflt+lNJl8IB2qWJrg3LJnIH7/TKDta\nNF7In6CsuSUPEaW4Fw60N6UT8hHeJx/SJMopVooUyS3xOfXHMoj8u1V/JnydcodH/seloMiDujL+\nERBITKy536apt+rbIqUL703jZlPlMfGlaYNSShcuifYgZNEuEu/zOeVSP3iPaiJLOqBxTlnHFPOJ\nenTJEoj7vUPvYdmEQoeyb/jfzvo/b0enlHaUX9wP+P+mrvRDhz6n3QhPTDZhXsx/Xu9Tn8kCf+5B\n/S+buB6XmxMLWYwt6oQwc0D+4QekICcfYu7Bne+tjfIpm3mZNykvF/bGMkcY685qKZRPHdhZCTfu\nEYQVdj9ybaml4boMdugFZVI2/sP5jmNnY1fSOKO+Gm+9+iwbXTtUAWdrAiZgAiZgAiZgAiZgAncQ\nAeSOiIElPdHsYrapdrPmI6ddLrgcL3ce8sx1KQvKJeQN0tTCvOQ3yZYFuXJWrgVjc6fWPSrd3Bny\nkv5IZJCl1Mb1DjlsTYm2XpkWeRQqyjGyKjlNF9VPYki6og2B1G+xIJ8XLomnrXjk5250HnI4MhhV\nXMkt6CTnwvGKwllQbiUpk/+WJNNpTWiGGGBIslgTadNsFVw3qid5bTZO8vI5r1yqhe+U5OdK20P+\nq6oE3kKwUGJ8LRfWg9hIvhHHtet0/VWNI65rZr1G+EZw9S/+0+E1qVyrMqXZdvqPdZFrm4zf7dZv\ns/6kRQyvje7XcvdDMRfWLej3Wu5rrtsOt/K94XdNYP8SsNJr//ZtVS1j0jAnf8czGhETWiDt0aLy\nO04eCJddf6xdSYtaTK0kkQ8L5ixE88WeLcrrzS0S7sLedeKA/Eq3ZpYdqsOcArYuKJ9aVrJZaH9x\naCpNaqIypB0f/VJ4vee+g2EC/Zufv5gpK7TvR+qS1KRKH9Qi9j9+/fHUrwXiV+TWENPuq1OzaUw/\n1LRp3yb1EZZHXQp2ioXPSVnGoSgcE7+nZRmC5QqKRyat3XLnBp9vvu+QFEJt6Z3H+0JhUuzeDt/O\nL41lk+f3PtIWigHYgRDlFgvyT12bktvIhfShV0e0y0Vu5DaxAMstklBYvkcWLARVfePhzNc25aIc\nGparBOo4rElZNoHI3BvcLUuqUOpobFE+biJQoHxIFjm4oiu2ZELh9U/ffHdYBj4iS7V2aXVyJc+A\nPqP93/bAYExuvv+RYzFJoV2U+6ws2vAd/UvamVc68cktgw7K1dx77pdvbTF89GCWP21TtpEyJW82\n0NqloMXyC2VQmMerrte1G+h3nrsaitzn1S8HVacPfO0jUV8yoPwf/NCz8czrw/JjzueUS/0QsH75\n6Qt8lN7/hpPhv/11hxS7T+3M3S2ieKOduHO4qPz++Pkr4YaAa/J20A9fe/dAtKO4H7jfKAceeT6d\nBeXkXbKIQjkEf1z/ffTiWLjS+NMzw7FrDiFoo3uc8fIXGico4t55vF+KvJb0yEBXOq2+/aE33RX3\n8x/LIo1xdCss+RhPbzjSHfXhmPY+KR/1F3SfTOr7k12TxTsfYXdLksYKZU8tNEQ/TIjzWwrK1QcH\nOuTisDE9c9lqr1vSFy7EBEzABEzABEzABEzABHaIQG5hhhzJOgUSJDLwbknF9UOWpWY7KR/RdCyV\n4DEhmZfyii3oKuUCw2HF8Mrlc/LZTVzzdlTKt+r2qMHIkyy/ndOfajkW1wuFENdXso5Wr/7L+Wz0\nXGv9Nsqv0vcrLbf4vEru61vFrdJ2+jwT2K0ErPTarT1zi+vFjxK/TPHlqQVTFrlZMGeHCwvWlSam\nNezqkM5KR6iUZBEiyyAsS7BQiXLKZEYZuAo7qMe8XCziUjB+LDe6oEwexW9xGTssZpQXCgMqMiCF\nA3ukOohxowXrvFlh6aX14MOyHCGW18tjs7HLhR8e6XD2dYJ7nxSc/bJgCsstKSpQXGHxh+UI/dAi\nVlo/D9ePAxoTuFBD+dQnxQscw3JHwJlY4WObHUGk+SU5WZNPZzgzDtq18K7swxIMZSiKDCz7xqbl\nXlLlYarN+CNxPsqYJo1DFKEEYsUy6pDKRCGLZdmc+paJNK45efA6t0hkosA4JBLbsupOO1HYYM1G\n/SkfxRHvsxOKhLKvVQ/GfosUT634pKYiPJSwMtJl8Xk+gZM6MLsmTozT4g8vu+WCD+upkz3EfsJt\nZpusk1oyRaFOYHzSXPLKLRu5uLFQLtw4A4Vwt8bsMeWD589rky3RFtpxQkrKPKnaa4ljXHtidTes\n8Q+Xw5183TdEP/I+/dqgeuC6IasHf+Ggfiz0Be1o1/2bt4P64wKUZ2JFofjhvs7u+eze586HU1OL\nLpaEw3dIgyrEvaXTxaM9xs1xtQdlzNBk1o+Mn6wGUY34Q71RaBFQ+JqEGerTpx18GoYxLtiJxzjq\nVj5Y8mFttizLNmUVdSK/JY1nGJMX75cr50aJmx9Rfq/6lQfH5Dep70uUTPFdodf6f8tTlKk/1AHF\nIhsPqBtjqEf9xIPjm1Pxm8XHN5/pd0zABEzABEzABEzABEzABG4vAeb9rFPs1lSufjtZW/LGUolU\n2TbtOPWmP+RQqbXcTRffwjeoZ2n/Z61fX4lq2xN56A/PyPbVJq4orVcleXBdPfpvq7Jqrd9W+W71\neaXlVnpeXt6t4paX52cT2KsErPSqS8/tn8XCOdkJf/rKZCxsv/VYXxrvWUq/+4XLolTZFELr34rD\npZ020ljgMpHF8tcMdstKqCW9eG06LCPKIWdR+92n+mIx/3ND02HBkf3Ybo8tC8AflIUMipP3PnpM\n7WpLbzoxoAVrxTBqao7F8APS6LAgzDm4yvvdZ6+E5caEAoquaTzKVXpH3tusvXy22efVVwiXe9/x\n8NFQHKDMQBHy3MhUtP/i2FxYRj1wsCcd0Wfvf92JUBR1SSGEKfb/+/JwWGx98tJ4LLRPyToOhYLi\nh0ZC5wHnFik7UNw8NtgjxWNLeveJ/vSavs70trf2hUu43/zilbAsekIWWJhqR9K1rRoT1OlH3nxX\nOq5+Q0GGguE3vnAlLIX+ThZD4Z9bZTDWmCwVilZ/Zi4FsabqlYIOS7/vfPBoKOu+8d5DMSE7ojyx\n0PngM5dCwfdBWTYxXvs0HlDSntbnuDdk3KBk+xuVNyzLvyfU3ryeKKvG5VMhVxLm/YPC61sePBJK\nqf9OFoYoHVAEjUvB9uu6n3C9+Yx8n8NxUYpF6p3rVzmPXs65PXyoO+rx3coPnn95cCTcLlDG+sRV\nPEj5c/aKNr3/DaeCy3HxoNxfePq8/F4vppcVyw+LpUXVLSzrpERiwk/g2XZZAb7jroFox/c/ejRc\nPGJZRyDaX/zshbBse+Eq7ZArRjUij6VGqdSVR7vcllLXd58eiHH09XcfDM5fc1dmSfrTT54Nyzt2\n1pUKGspWPtCn03W5qPi3T54LxeH/9Ojx+J5485GeUOy883hvXIclGe04OzkX4/F5WZ7RT9e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2EZMiLFAlYQ7DQhHs4BKaxQMhDLKaxFNoHA4mq3Fl57tZjNMcqVESm5sOJa1EIyi7EscKNMai8s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jT5rhpRCt5/D0N6PIR+nepxolgI6zMEkcFWb56wQYOEpUO1xAERIoST3aEqALeJ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\nBNqQgBrW8MYbb5SNXdL9Sb1HtaEazXZ1avtHMIhYp2t37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TiucaNfN3djuXt61nG49vQq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PXz0eh/+807quSop2vnwQJjhBUny12shuJyejSYAESIAESIAESIAE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\nU0KTZ4PZpflGAAEEEEAAAQQQQAABBBBAAAEEEAgkAYJegfQ2m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ck7JH2crP33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\nPytriZKmtPzCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 15,
     "metadata": {
      "image/png": {
       "height": 600,
       "width": 700
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image('images/postgresql.png',width=700,height=600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Python Dependencies\n",
    "\n",
    "> [**SQLAlchemy**](https://www.sqlalchemy.org/) is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.SQLAlchemy is used by organizations such as **Yelp!, Reddit, Mozilla** and so on. \n",
    "\n",
    ">[**psycopg2**](http://initd.org/psycopg/) is the most popular PostgreSQL adapter or driver for python. \n",
    "\n",
    "Here, the purpose of *sqlalchemy* is to generate SQL statements and *psycopg2* transfers these statements to the database located in PostgreSQL server which can be local or remote. \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: psycopg2 in /Users/thein/anaconda/lib/python2.7/site-packages\n",
      "Requirement already satisfied: sqlalchemy in /Users/thein/anaconda/lib/python2.7/site-packages\n",
      "Requirement already satisfied: sqlalchemy_utils in /Users/thein/anaconda/lib/python2.7/site-packages\n",
      "Requirement already satisfied: six in /Users/thein/anaconda/lib/python2.7/site-packages (from sqlalchemy_utils)\n"
     ]
    }
   ],
   "source": [
    "!pip install psycopg2 sqlalchemy sqlalchemy_utils"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Launch Postgres from the command line on Mac OS X. \n",
    "\n",
    "From the command line, run \n",
    "```shell\n",
    "pkill postgres #Kill previous postgres\n",
    "postgres -p 2311 -D /usr/local/var/postgres #-D for the locatoin of database config files and -p for port no.\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "##Reload modules.\n",
    "#http://stackoverflow.com/questions/5364050/reloading-submodules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "##Import required python packages.\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sqlalchemy_utils import database_exists, create_database\n",
    "from sqlalchemy import create_engine\n",
    "import psycopg2 as pg2\n",
    "import getpass\n",
    "import time\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### Create database with SQLalchemy\n",
    "\n",
    "`create_engine`     command can be use with the following syntax to create postgreSQL database:\n",
    "` postgresql://username:password@host:port/database_name`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "username =  thein\n"
     ]
    }
   ],
   "source": [
    "#Create a new database with python.\n",
    "dbname = 'test_db'\n",
    "username = getpass.getuser() #get the username of the computer. \n",
    "pswd = '0011'\n",
    "port = 2311\n",
    "print('username =  %s' % getpass.getuser())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "postgresql://thein:0011@localhost:2311/test_db\n"
     ]
    }
   ],
   "source": [
    "engine = create_engine('postgresql://%s:%s@localhost:%s/%s'%(username,pswd,port,dbname))\n",
    "print(engine.url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Database is created\n"
     ]
    }
   ],
   "source": [
    "## Check whether the database is already existed or not in the engine.url \n",
    "## and if not, create it.\n",
    "\n",
    "def create_DB(engine_url):\n",
    "    if not database_exists(engine_url):\n",
    "        create_database(engine_url)\n",
    "    print(\"Database is created\")\n",
    "    \n",
    "create_DB(engine.url)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load data from CSV to SQL statements "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>passengerid</th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>name</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>ticket</th>\n",
       "      <th>fare</th>\n",
       "      <th>cabin</th>\n",
       "      <th>embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   passengerid  survived  pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                name     sex   age  sibsp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   parch            ticket     fare cabin embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Load data from CSV using Pandas and write to SQL statement with SQLalchemy\n",
    "\n",
    "data=pd.DataFrame.from_csv('data/train.csv').reset_index()\n",
    "data.columns = map(str.lower, data.columns)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "data.to_sql('train_data_table',engine,index=False, if_exists='replace')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Establish a connection via psycopg2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Establish a connection via psycopg2:\n",
    "con = None\n",
    "con = pg2.connect(database = dbname, user = username, host='localhost', password=pswd,port=port)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Query using the standard SQL command"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>passengerid</th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>name</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>ticket</th>\n",
       "      <th>fare</th>\n",
       "      <th>cabin</th>\n",
       "      <th>embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>None</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>None</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Moran, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330877</td>\n",
       "      <td>8.4583</td>\n",
       "      <td>None</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>McCarthy, Mr. Timothy J</td>\n",
       "      <td>male</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17463</td>\n",
       "      <td>51.8625</td>\n",
       "      <td>E46</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Master. Gosta Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>349909</td>\n",
       "      <td>21.0750</td>\n",
       "      <td>None</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   passengerid  survived  pclass                            name   sex   age  \\\n",
       "0            1         0       3         Braund, Mr. Owen Harris  male  22.0   \n",
       "1            5         0       3        Allen, Mr. William Henry  male  35.0   \n",
       "2            6         0       3                Moran, Mr. James  male   NaN   \n",
       "3            7         0       1         McCarthy, Mr. Timothy J  male  54.0   \n",
       "4            8         0       3  Palsson, Master. Gosta Leonard  male   2.0   \n",
       "\n",
       "   sibsp  parch     ticket     fare cabin embarked  \n",
       "0      1      0  A/5 21171   7.2500  None        S  \n",
       "1      0      0     373450   8.0500  None        S  \n",
       "2      0      0     330877   8.4583  None        Q  \n",
       "3      0      0      17463  51.8625   E46        S  \n",
       "4      3      1     349909  21.0750  None        S  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql_query_command=\"\"\" SELECT * FROM train_data_table Where survived =0\"\"\"\n",
    "Survived_data=pd.read_sql_query(sql_query_command,con) \n",
    "Survived_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100 loops, best of 3: 5.13 ms per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "Survived_data=pd.read_sql_query(\"\"\" SELECT * FROM train_data_table\"\"\",con)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000 loops, best of 3: 465 µs per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "Survived_data=data.ix[data['survived'] == 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Close"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "con.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Working with Amazon Relational Database Service\n",
    "\n",
    "This following example will work you through how to communicate DB instance from AWS server. First, follow the instruction on [this page](http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_GettingStarted.CreatingConnecting.PostgreSQL.html) and setup DB instance with PostgreSQL. Keep in mind that creating a new DB instance can take between 10 to 20 mins. From this, username, password, port (default=5432) and host will be obtained. Host address will be like \n",
    "\n",
    "```shell\n",
    "******.us-west-2.rds.amazonaws.com\n",
    "```\n",
    "Here, all the information is saved as a dictionary in the file \".data\" . "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'username', u'host', u'pwd', u'port']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import json\n",
    "AWS_data=json.load(open(\".data\"))\n",
    "AWS_data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "aws_host=AWS_data['host']\n",
    "aws_username=AWS_data['username']\n",
    "aws_port=AWS_data['port']\n",
    "aws_password=AWS_data['pwd']\n",
    "aws_engine = create_engine('postgresql://%s:%s@%s:%s/%s'\\\n",
    "                           %(aws_username,aws_password,aws_host,aws_port,dbname))\n",
    "#print(aws_engine.url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Database is created\n"
     ]
    }
   ],
   "source": [
    "create_DB(aws_engine.url)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read, Write and Insert on DB Instance\n",
    "\n",
    "There is two data files in the data folder. They are from the titanic data set. One is \"train.csv\" and another is \"test.csv\". \n",
    "First I will drop the column \"survived\" from the \"train.csv\" file so that both data set will have the same column. Then, use **sqlalchemy** to generate the new database statement. Later I will demonstrate how to insert the data from \"test.csv\" to the pre-existing database on AWS server using **psycopg2**. \n",
    "\n",
    "#### Read and write \"train.csv\" to DB Instance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>passengerid</th>\n",
       "      <th>pclass</th>\n",
       "      <th>name</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>ticket</th>\n",
       "      <th>fare</th>\n",
       "      <th>cabin</th>\n",
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       "  </thead>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
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       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   passengerid  pclass                                               name  \\\n",
       "0            1       3                            Braund, Mr. Owen Harris   \n",
       "1            2       1  Cumings, Mrs. John Bradley (Florence Briggs Th...   \n",
       "2            3       3                             Heikkinen, Miss. Laina   \n",
       "3            4       1       Futrelle, Mrs. Jacques Heath (Lily May Peel)   \n",
       "4            5       3                           Allen, Mr. William Henry   \n",
       "\n",
       "      sex   age  sibsp  parch            ticket     fare cabin embarked  \n",
       "0    male  22.0      1      0         A/5 21171   7.2500   NaN        S  \n",
       "1  female  38.0      1      0          PC 17599  71.2833   C85        C  \n",
       "2  female  26.0      0      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3  female  35.0      1      0            113803  53.1000  C123        S  \n",
       "4    male  35.0      0      0            373450   8.0500   NaN        S  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.DataFrame.from_csv('data/train.csv').reset_index()\n",
    "data.columns = map(str.lower, data.columns) # SQL is insensitive to letter case. \n",
    "drop_survived=data.drop('survived',axis=1)\n",
    "drop_survived.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Write data to AWS DB instance using sqlalchemy. \n",
    "drop_survived.to_sql('train_data_table',aws_engine, index=False,if_exists='replace') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Establish a connection via psycopg2:\n",
    "con_aws = None\n",
    "con_aws = pg2.connect(database = dbname, user = aws_username,\\\n",
    "                      host=aws_host, \\\n",
    "                      password=aws_password,port=aws_port)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>passengerid</th>\n",
       "      <th>pclass</th>\n",
       "      <th>name</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>ticket</th>\n",
       "      <th>fare</th>\n",
       "      <th>cabin</th>\n",
       "      <th>embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>None</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n",
       "      <td>female</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>347742</td>\n",
       "      <td>11.1333</td>\n",
       "      <td>None</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n",
       "      <td>female</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>237736</td>\n",
       "      <td>30.0708</td>\n",
       "      <td>None</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   passengerid  pclass                                               name  \\\n",
       "0            2       1  Cumings, Mrs. John Bradley (Florence Briggs Th...   \n",
       "1            3       3                             Heikkinen, Miss. Laina   \n",
       "2            4       1       Futrelle, Mrs. Jacques Heath (Lily May Peel)   \n",
       "3            9       3  Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)   \n",
       "4           10       2                Nasser, Mrs. Nicholas (Adele Achem)   \n",
       "\n",
       "      sex   age  sibsp  parch            ticket     fare cabin embarked  \n",
       "0  female  38.0      1      0          PC 17599  71.2833   C85        C  \n",
       "1  female  26.0      0      0  STON/O2. 3101282   7.9250  None        S  \n",
       "2  female  35.0      1      0            113803  53.1000  C123        S  \n",
       "3  female  27.0      0      2            347742  11.1333  None        S  \n",
       "4  female  14.0      1      0            237736  30.0708  None        C  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Query the data we just worte.\n",
    "sql_query_command=\"\"\" SELECT * FROM train_data_table Where sex ='female'\"\"\"\n",
    "Survived_data0=pd.read_sql_query(sql_query_command,con_aws) \n",
    "Survived_data0.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(314, 11)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Survived_data0.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Insert data with **psycopg2**\n",
    "\n",
    "Now we will load \"test.csv\" as a pandas dataframe. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>passengerid</th>\n",
       "      <th>pclass</th>\n",
       "      <th>name</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>ticket</th>\n",
       "      <th>fare</th>\n",
       "      <th>cabin</th>\n",
       "      <th>embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>892</td>\n",
       "      <td>3</td>\n",
       "      <td>Kelly, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>34.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330911</td>\n",
       "      <td>7.8292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>893</td>\n",
       "      <td>3</td>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>363272</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>894</td>\n",
       "      <td>2</td>\n",
       "      <td>Myles, Mr. Thomas Francis</td>\n",
       "      <td>male</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>240276</td>\n",
       "      <td>9.6875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>895</td>\n",
       "      <td>3</td>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315154</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>896</td>\n",
       "      <td>3</td>\n",
       "      <td>Hirvonen, Mrs. Alexander (Helga E Lindqvist)</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3101298</td>\n",
       "      <td>12.2875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   passengerid  pclass                                          name     sex  \\\n",
       "0          892       3                              Kelly, Mr. James    male   \n",
       "1          893       3              Wilkes, Mrs. James (Ellen Needs)  female   \n",
       "2          894       2                     Myles, Mr. Thomas Francis    male   \n",
       "3          895       3                              Wirz, Mr. Albert    male   \n",
       "4          896       3  Hirvonen, Mrs. Alexander (Helga E Lindqvist)  female   \n",
       "\n",
       "    age  sibsp  parch   ticket     fare cabin embarked  \n",
       "0  34.5      0      0   330911   7.8292   NaN        Q  \n",
       "1  47.0      1      0   363272   7.0000   NaN        S  \n",
       "2  62.0      0      0   240276   9.6875   NaN        Q  \n",
       "3  27.0      0      0   315154   8.6625   NaN        S  \n",
       "4  22.0      1      1  3101298  12.2875   NaN        S  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data=pd.DataFrame.from_csv('data/test.csv').reset_index()\n",
    "test_data.columns = map(str.lower, test_data.columns)\n",
    "test_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Write Memory File\n",
    "Instead of writing directly from pandas dataframe, we will write the data as a memory file also known as a string buffer. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'buf': '',\n",
       " 'buflist': ['892\\t3\\tKelly, Mr. James\\tmale\\t34.5\\t0\\t0\\t330911\\t7.8292\\t\\tQ\\n',\n",
       "  '893\\t3\\tWilkes, Mrs. James (Ellen Needs)\\tfemale\\t47.0\\t1\\t0\\t363272\\t7.0\\t\\tS\\n',\n",
       "  '894\\t2\\tMyles, Mr. Thomas Francis\\tmale\\t62.0\\t0\\t0\\t240276\\t9.6875\\t\\tQ\\n',\n",
       "  '895\\t3\\tWirz, Mr. Albert\\tmale\\t27.0\\t0\\t0\\t315154\\t8.6625\\t\\tS\\n',\n",
       "  '896\\t3\\tHirvonen, Mrs. Alexander (Helga E Lindqvist)\\tfemale\\t22.0\\t1\\t1\\t3101298\\t12.2875\\t\\tS\\n',\n",
       "  '897\\t3\\tSvensson, Mr. Johan Cervin\\tmale\\t14.0\\t0\\t0\\t7538\\t9.225\\t\\tS\\n',\n",
       "  '898\\t3\\tConnolly, Miss. Kate\\tfemale\\t30.0\\t0\\t0\\t330972\\t7.6292\\t\\tQ\\n',\n",
       "  '899\\t2\\tCaldwell, Mr. Albert Francis\\tmale\\t26.0\\t1\\t1\\t248738\\t29.0\\t\\tS\\n',\n",
       "  '900\\t3\\tAbrahim, Mrs. Joseph (Sophie Halaut Easu)\\tfemale\\t18.0\\t0\\t0\\t2657\\t7.2292\\t\\tC\\n',\n",
       "  '901\\t3\\tDavies, Mr. John Samuel\\tmale\\t21.0\\t2\\t0\\tA/4 48871\\t24.15\\t\\tS\\n',\n",
       "  '902\\t3\\tIlieff, Mr. Ylio\\tmale\\t\\t0\\t0\\t349220\\t7.8958\\t\\tS\\n',\n",
       "  '903\\t1\\tJones, Mr. Charles Cresson\\tmale\\t46.0\\t0\\t0\\t694\\t26.0\\t\\tS\\n',\n",
       "  '904\\t1\\tSnyder, Mrs. John Pillsbury (Nelle Stevenson)\\tfemale\\t23.0\\t1\\t0\\t21228\\t82.2667\\tB45\\tS\\n',\n",
       "  '905\\t2\\tHoward, Mr. Benjamin\\tmale\\t63.0\\t1\\t0\\t24065\\t26.0\\t\\tS\\n',\n",
       "  '906\\t1\\tChaffee, Mrs. Herbert Fuller (Carrie Constance Toogood)\\tfemale\\t47.0\\t1\\t0\\tW.E.P. 5734\\t61.175\\tE31\\tS\\n',\n",
       "  '907\\t2\\tdel Carlo, Mrs. Sebastiano (Argenia Genovesi)\\tfemale\\t24.0\\t1\\t0\\tSC/PARIS 2167\\t27.7208\\t\\tC\\n',\n",
       "  '908\\t2\\tKeane, Mr. Daniel\\tmale\\t35.0\\t0\\t0\\t233734\\t12.35\\t\\tQ\\n',\n",
       "  '909\\t3\\tAssaf, Mr. Gerios\\tmale\\t21.0\\t0\\t0\\t2692\\t7.225\\t\\tC\\n',\n",
       "  '910\\t3\\tIlmakangas, Miss. Ida Livija\\tfemale\\t27.0\\t1\\t0\\tSTON/O2. 3101270\\t7.925\\t\\tS\\n',\n",
       "  '911\\t3\\t\"Assaf Khalil, Mrs. Mariana (Miriam\"\")\"\"\"\\tfemale\\t45.0\\t0\\t0\\t2696\\t7.225\\t\\tC\\n',\n",
       "  '912\\t1\\tRothschild, Mr. Martin\\tmale\\t55.0\\t1\\t0\\tPC 17603\\t59.4\\t\\tC\\n',\n",
       "  '913\\t3\\tOlsen, Master. Artur Karl\\tmale\\t9.0\\t0\\t1\\tC 17368\\t3.1708\\t\\tS\\n',\n",
       "  '914\\t1\\tFlegenheim, Mrs. Alfred (Antoinette)\\tfemale\\t\\t0\\t0\\tPC 17598\\t31.6833\\t\\tS\\n',\n",
       "  '915\\t1\\tWilliams, Mr. Richard Norris II\\tmale\\t21.0\\t0\\t1\\tPC 17597\\t61.3792\\t\\tC\\n',\n",
       "  '916\\t1\\tRyerson, Mrs. Arthur Larned (Emily Maria Borie)\\tfemale\\t48.0\\t1\\t3\\tPC 17608\\t262.375\\tB57 B59 B63 B66\\tC\\n',\n",
       "  '917\\t3\\tRobins, Mr. Alexander A\\tmale\\t50.0\\t1\\t0\\tA/5. 3337\\t14.5\\t\\tS\\n',\n",
       "  '918\\t1\\tOstby, Miss. Helene Ragnhild\\tfemale\\t22.0\\t0\\t1\\t113509\\t61.9792\\tB36\\tC\\n',\n",
       "  '919\\t3\\tDaher, Mr. Shedid\\tmale\\t22.5\\t0\\t0\\t2698\\t7.225\\t\\tC\\n',\n",
       "  '920\\t1\\tBrady, Mr. John Bertram\\tmale\\t41.0\\t0\\t0\\t113054\\t30.5\\tA21\\tS\\n',\n",
       "  '921\\t3\\tSamaan, Mr. Elias\\tmale\\t\\t2\\t0\\t2662\\t21.6792\\t\\tC\\n',\n",
       "  '922\\t2\\tLouch, Mr. Charles Alexander\\tmale\\t50.0\\t1\\t0\\tSC/AH 3085\\t26.0\\t\\tS\\n',\n",
       "  '923\\t2\\tJefferys, Mr. Clifford Thomas\\tmale\\t24.0\\t2\\t0\\tC.A. 31029\\t31.5\\t\\tS\\n',\n",
       "  '924\\t3\\tDean, Mrs. Bertram (Eva Georgetta Light)\\tfemale\\t33.0\\t1\\t2\\tC.A. 2315\\t20.575\\t\\tS\\n',\n",
       "  '925\\t3\\t\"Johnston, Mrs. Andrew G (Elizabeth Lily\"\" Watson)\"\"\"\\tfemale\\t\\t1\\t2\\tW./C. 6607\\t23.45\\t\\tS\\n',\n",
       "  '926\\t1\\tMock, Mr. Philipp Edmund\\tmale\\t30.0\\t1\\t0\\t13236\\t57.75\\tC78\\tC\\n',\n",
       "  '927\\t3\\t\"Katavelas, Mr. Vassilios (Catavelas Vassilios\"\")\"\"\"\\tmale\\t18.5\\t0\\t0\\t2682\\t7.2292\\t\\tC\\n',\n",
       "  '928\\t3\\tRoth, Miss. Sarah A\\tfemale\\t\\t0\\t0\\t342712\\t8.05\\t\\tS\\n',\n",
       "  '929\\t3\\tCacic, Miss. Manda\\tfemale\\t21.0\\t0\\t0\\t315087\\t8.6625\\t\\tS\\n',\n",
       "  '930\\t3\\tSap, Mr. Julius\\tmale\\t25.0\\t0\\t0\\t345768\\t9.5\\t\\tS\\n',\n",
       "  '931\\t3\\tHee, Mr. Ling\\tmale\\t\\t0\\t0\\t1601\\t56.4958\\t\\tS\\n',\n",
       "  '932\\t3\\tKarun, Mr. Franz\\tmale\\t39.0\\t0\\t1\\t349256\\t13.4167\\t\\tC\\n',\n",
       "  '933\\t1\\tFranklin, Mr. Thomas Parham\\tmale\\t\\t0\\t0\\t113778\\t26.55\\tD34\\tS\\n',\n",
       "  '934\\t3\\tGoldsmith, Mr. Nathan\\tmale\\t41.0\\t0\\t0\\tSOTON/O.Q. 3101263\\t7.85\\t\\tS\\n',\n",
       "  '935\\t2\\tCorbett, Mrs. Walter H (Irene Colvin)\\tfemale\\t30.0\\t0\\t0\\t237249\\t13.0\\t\\tS\\n',\n",
       "  '936\\t1\\tKimball, Mrs. Edwin Nelson Jr (Gertrude Parsons)\\tfemale\\t45.0\\t1\\t0\\t11753\\t52.5542\\tD19\\tS\\n',\n",
       "  '937\\t3\\tPeltomaki, Mr. Nikolai Johannes\\tmale\\t25.0\\t0\\t0\\tSTON/O 2. 3101291\\t7.925\\t\\tS\\n',\n",
       "  '938\\t1\\tChevre, Mr. Paul Romaine\\tmale\\t45.0\\t0\\t0\\tPC 17594\\t29.7\\tA9\\tC\\n',\n",
       "  '939\\t3\\tShaughnessy, Mr. Patrick\\tmale\\t\\t0\\t0\\t370374\\t7.75\\t\\tQ\\n',\n",
       "  '940\\t1\\tBucknell, Mrs. William Robert (Emma Eliza Ward)\\tfemale\\t60.0\\t0\\t0\\t11813\\t76.2917\\tD15\\tC\\n',\n",
       "  '941\\t3\\t\"Coutts, Mrs. William (Winnie Minnie\"\" Treanor)\"\"\"\\tfemale\\t36.0\\t0\\t2\\tC.A. 37671\\t15.9\\t\\tS\\n',\n",
       "  '942\\t1\\tSmith, Mr. Lucien Philip\\tmale\\t24.0\\t1\\t0\\t13695\\t60.0\\tC31\\tS\\n',\n",
       "  '943\\t2\\tPulbaum, Mr. Franz\\tmale\\t27.0\\t0\\t0\\tSC/PARIS 2168\\t15.0333\\t\\tC\\n',\n",
       "  '944\\t2\\t\"Hocking, Miss. Ellen Nellie\"\"\"\"\"\\tfemale\\t20.0\\t2\\t1\\t29105\\t23.0\\t\\tS\\n',\n",
       "  '945\\t1\\tFortune, Miss. Ethel Flora\\tfemale\\t28.0\\t3\\t2\\t19950\\t263.0\\tC23 C25 C27\\tS\\n',\n",
       "  '946\\t2\\tMangiavacchi, Mr. Serafino Emilio\\tmale\\t\\t0\\t0\\tSC/A.3 2861\\t15.5792\\t\\tC\\n',\n",
       "  '947\\t3\\tRice, Master. Albert\\tmale\\t10.0\\t4\\t1\\t382652\\t29.125\\t\\tQ\\n',\n",
       "  '948\\t3\\tCor, Mr. Bartol\\tmale\\t35.0\\t0\\t0\\t349230\\t7.8958\\t\\tS\\n',\n",
       "  '949\\t3\\tAbelseth, Mr. Olaus Jorgensen\\tmale\\t25.0\\t0\\t0\\t348122\\t7.65\\tF G63\\tS\\n',\n",
       "  '950\\t3\\tDavison, Mr. Thomas Henry\\tmale\\t\\t1\\t0\\t386525\\t16.1\\t\\tS\\n',\n",
       "  '951\\t1\\tChaudanson, Miss. Victorine\\tfemale\\t36.0\\t0\\t0\\tPC 17608\\t262.375\\tB61\\tC\\n',\n",
       "  '952\\t3\\tDika, Mr. Mirko\\tmale\\t17.0\\t0\\t0\\t349232\\t7.8958\\t\\tS\\n',\n",
       "  '953\\t2\\tMcCrae, Mr. Arthur Gordon\\tmale\\t32.0\\t0\\t0\\t237216\\t13.5\\t\\tS\\n',\n",
       "  '954\\t3\\tBjorklund, Mr. Ernst Herbert\\tmale\\t18.0\\t0\\t0\\t347090\\t7.75\\t\\tS\\n',\n",
       "  '955\\t3\\tBradley, Miss. Bridget Delia\\tfemale\\t22.0\\t0\\t0\\t334914\\t7.725\\t\\tQ\\n',\n",
       "  '956\\t1\\tRyerson, Master. John Borie\\tmale\\t13.0\\t2\\t2\\tPC 17608\\t262.375\\tB57 B59 B63 B66\\tC\\n',\n",
       "  '957\\t2\\tCorey, Mrs. Percy C (Mary Phyllis Elizabeth Miller)\\tfemale\\t\\t0\\t0\\tF.C.C. 13534\\t21.0\\t\\tS\\n',\n",
       "  '958\\t3\\tBurns, Miss. Mary Delia\\tfemale\\t18.0\\t0\\t0\\t330963\\t7.8792\\t\\tQ\\n',\n",
       "  '959\\t1\\tMoore, Mr. Clarence Bloomfield\\tmale\\t47.0\\t0\\t0\\t113796\\t42.4\\t\\tS\\n',\n",
       "  '960\\t1\\tTucker, Mr. Gilbert Milligan Jr\\tmale\\t31.0\\t0\\t0\\t2543\\t28.5375\\tC53\\tC\\n',\n",
       "  '961\\t1\\tFortune, Mrs. Mark (Mary McDougald)\\tfemale\\t60.0\\t1\\t4\\t19950\\t263.0\\tC23 C25 C27\\tS\\n',\n",
       "  '962\\t3\\tMulvihill, Miss. Bertha E\\tfemale\\t24.0\\t0\\t0\\t382653\\t7.75\\t\\tQ\\n',\n",
       "  '963\\t3\\tMinkoff, Mr. Lazar\\tmale\\t21.0\\t0\\t0\\t349211\\t7.8958\\t\\tS\\n',\n",
       "  '964\\t3\\tNieminen, Miss. Manta Josefina\\tfemale\\t29.0\\t0\\t0\\t3101297\\t7.925\\t\\tS\\n',\n",
       "  '965\\t1\\tOvies y Rodriguez, Mr. Servando\\tmale\\t28.5\\t0\\t0\\tPC 17562\\t27.7208\\tD43\\tC\\n',\n",
       "  '966\\t1\\tGeiger, Miss. Amalie\\tfemale\\t35.0\\t0\\t0\\t113503\\t211.5\\tC130\\tC\\n',\n",
       "  '967\\t1\\tKeeping, Mr. Edwin\\tmale\\t32.5\\t0\\t0\\t113503\\t211.5\\tC132\\tC\\n',\n",
       "  '968\\t3\\tMiles, Mr. Frank\\tmale\\t\\t0\\t0\\t359306\\t8.05\\t\\tS\\n',\n",
       "  '969\\t1\\tCornell, Mrs. Robert Clifford (Malvina Helen Lamson)\\tfemale\\t55.0\\t2\\t0\\t11770\\t25.7\\tC101\\tS\\n',\n",
       "  '970\\t2\\tAldworth, Mr. Charles Augustus\\tmale\\t30.0\\t0\\t0\\t248744\\t13.0\\t\\tS\\n',\n",
       "  '971\\t3\\tDoyle, Miss. Elizabeth\\tfemale\\t24.0\\t0\\t0\\t368702\\t7.75\\t\\tQ\\n',\n",
       "  '972\\t3\\tBoulos, Master. Akar\\tmale\\t6.0\\t1\\t1\\t2678\\t15.2458\\t\\tC\\n',\n",
       "  '973\\t1\\tStraus, Mr. Isidor\\tmale\\t67.0\\t1\\t0\\tPC 17483\\t221.7792\\tC55 C57\\tS\\n',\n",
       "  '974\\t1\\tCase, Mr. Howard Brown\\tmale\\t49.0\\t0\\t0\\t19924\\t26.0\\t\\tS\\n',\n",
       "  '975\\t3\\tDemetri, Mr. Marinko\\tmale\\t\\t0\\t0\\t349238\\t7.8958\\t\\tS\\n',\n",
       "  '976\\t2\\tLamb, Mr. John Joseph\\tmale\\t\\t0\\t0\\t240261\\t10.7083\\t\\tQ\\n',\n",
       "  '977\\t3\\tKhalil, Mr. Betros\\tmale\\t\\t1\\t0\\t2660\\t14.4542\\t\\tC\\n',\n",
       "  '978\\t3\\tBarry, Miss. Julia\\tfemale\\t27.0\\t0\\t0\\t330844\\t7.8792\\t\\tQ\\n',\n",
       "  '979\\t3\\tBadman, Miss. Emily Louisa\\tfemale\\t18.0\\t0\\t0\\tA/4 31416\\t8.05\\t\\tS\\n',\n",
       "  \"980\\t3\\tO'Donoghue, Ms. Bridget\\tfemale\\t\\t0\\t0\\t364856\\t7.75\\t\\tQ\\n\",\n",
       "  '981\\t2\\tWells, Master. Ralph Lester\\tmale\\t2.0\\t1\\t1\\t29103\\t23.0\\t\\tS\\n',\n",
       "  '982\\t3\\tDyker, Mrs. Adolf Fredrik (Anna Elisabeth Judith Andersson)\\tfemale\\t22.0\\t1\\t0\\t347072\\t13.9\\t\\tS\\n',\n",
       "  '983\\t3\\tPedersen, Mr. Olaf\\tmale\\t\\t0\\t0\\t345498\\t7.775\\t\\tS\\n',\n",
       "  '984\\t1\\tDavidson, Mrs. Thornton (Orian Hays)\\tfemale\\t27.0\\t1\\t2\\tF.C. 12750\\t52.0\\tB71\\tS\\n',\n",
       "  '985\\t3\\tGuest, Mr. Robert\\tmale\\t\\t0\\t0\\t376563\\t8.05\\t\\tS\\n',\n",
       "  '986\\t1\\tBirnbaum, Mr. Jakob\\tmale\\t25.0\\t0\\t0\\t13905\\t26.0\\t\\tC\\n',\n",
       "  '987\\t3\\tTenglin, Mr. Gunnar Isidor\\tmale\\t25.0\\t0\\t0\\t350033\\t7.7958\\t\\tS\\n',\n",
       "  '988\\t1\\tCavendish, Mrs. Tyrell William (Julia Florence Siegel)\\tfemale\\t76.0\\t1\\t0\\t19877\\t78.85\\tC46\\tS\\n',\n",
       "  '989\\t3\\tMakinen, Mr. Kalle Edvard\\tmale\\t29.0\\t0\\t0\\tSTON/O 2. 3101268\\t7.925\\t\\tS\\n',\n",
       "  '990\\t3\\tBraf, Miss. Elin Ester Maria\\tfemale\\t20.0\\t0\\t0\\t347471\\t7.8542\\t\\tS\\n',\n",
       "  '991\\t3\\tNancarrow, Mr. William Henry\\tmale\\t33.0\\t0\\t0\\tA./5. 3338\\t8.05\\t\\tS\\n',\n",
       "  '992\\t1\\tStengel, Mrs. Charles Emil Henry (Annie May Morris)\\tfemale\\t43.0\\t1\\t0\\t11778\\t55.4417\\tC116\\tC\\n',\n",
       "  '993\\t2\\tWeisz, Mr. Leopold\\tmale\\t27.0\\t1\\t0\\t228414\\t26.0\\t\\tS\\n',\n",
       "  '994\\t3\\tFoley, Mr. William\\tmale\\t\\t0\\t0\\t365235\\t7.75\\t\\tQ\\n',\n",
       "  '995\\t3\\tJohansson Palmquist, Mr. Oskar Leander\\tmale\\t26.0\\t0\\t0\\t347070\\t7.775\\t\\tS\\n',\n",
       "  '996\\t3\\t\"Thomas, Mrs. Alexander (Thamine Thelma\"\")\"\"\"\\tfemale\\t16.0\\t1\\t1\\t2625\\t8.5167\\t\\tC\\n',\n",
       "  '997\\t3\\tHolthen, Mr. Johan Martin\\tmale\\t28.0\\t0\\t0\\tC 4001\\t22.525\\t\\tS\\n',\n",
       "  '998\\t3\\tBuckley, Mr. Daniel\\tmale\\t21.0\\t0\\t0\\t330920\\t7.8208\\t\\tQ\\n',\n",
       "  '999\\t3\\tRyan, Mr. Edward\\tmale\\t\\t0\\t0\\t383162\\t7.75\\t\\tQ\\n',\n",
       "  '1000\\t3\\t\"Willer, Mr. Aaron (Abi Weller\"\")\"\"\"\\tmale\\t\\t0\\t0\\t3410\\t8.7125\\t\\tS\\n',\n",
       "  '1001\\t2\\tSwane, Mr. George\\tmale\\t18.5\\t0\\t0\\t248734\\t13.0\\tF\\tS\\n',\n",
       "  '1002\\t2\\tStanton, Mr. Samuel Ward\\tmale\\t41.0\\t0\\t0\\t237734\\t15.0458\\t\\tC\\n',\n",
       "  '1003\\t3\\tShine, Miss. Ellen Natalia\\tfemale\\t\\t0\\t0\\t330968\\t7.7792\\t\\tQ\\n',\n",
       "  '1004\\t1\\tEvans, Miss. Edith Corse\\tfemale\\t36.0\\t0\\t0\\tPC 17531\\t31.6792\\tA29\\tC\\n',\n",
       "  '1005\\t3\\tBuckley, Miss. Katherine\\tfemale\\t18.5\\t0\\t0\\t329944\\t7.2833\\t\\tQ\\n',\n",
       "  '1006\\t1\\tStraus, Mrs. Isidor (Rosalie Ida Blun)\\tfemale\\t63.0\\t1\\t0\\tPC 17483\\t221.7792\\tC55 C57\\tS\\n',\n",
       "  '1007\\t3\\tChronopoulos, Mr. Demetrios\\tmale\\t18.0\\t1\\t0\\t2680\\t14.4542\\t\\tC\\n',\n",
       "  '1008\\t3\\tThomas, Mr. John\\tmale\\t\\t0\\t0\\t2681\\t6.4375\\t\\tC\\n',\n",
       "  '1009\\t3\\tSandstrom, Miss. Beatrice Irene\\tfemale\\t1.0\\t1\\t1\\tPP 9549\\t16.7\\tG6\\tS\\n',\n",
       "  '1010\\t1\\tBeattie, Mr. Thomson\\tmale\\t36.0\\t0\\t0\\t13050\\t75.2417\\tC6\\tC\\n',\n",
       "  '1011\\t2\\tChapman, Mrs. John Henry (Sara Elizabeth Lawry)\\tfemale\\t29.0\\t1\\t0\\tSC/AH 29037\\t26.0\\t\\tS\\n',\n",
       "  '1012\\t2\\tWatt, Miss. Bertha J\\tfemale\\t12.0\\t0\\t0\\tC.A. 33595\\t15.75\\t\\tS\\n',\n",
       "  '1013\\t3\\tKiernan, Mr. John\\tmale\\t\\t1\\t0\\t367227\\t7.75\\t\\tQ\\n',\n",
       "  '1014\\t1\\tSchabert, Mrs. Paul (Emma Mock)\\tfemale\\t35.0\\t1\\t0\\t13236\\t57.75\\tC28\\tC\\n',\n",
       "  '1015\\t3\\tCarver, Mr. Alfred John\\tmale\\t28.0\\t0\\t0\\t392095\\t7.25\\t\\tS\\n',\n",
       "  '1016\\t3\\tKennedy, Mr. John\\tmale\\t\\t0\\t0\\t368783\\t7.75\\t\\tQ\\n',\n",
       "  '1017\\t3\\tCribb, Miss. Laura Alice\\tfemale\\t17.0\\t0\\t1\\t371362\\t16.1\\t\\tS\\n',\n",
       "  '1018\\t3\\tBrobeck, Mr. Karl Rudolf\\tmale\\t22.0\\t0\\t0\\t350045\\t7.7958\\t\\tS\\n',\n",
       "  '1019\\t3\\tMcCoy, Miss. Alicia\\tfemale\\t\\t2\\t0\\t367226\\t23.25\\t\\tQ\\n',\n",
       "  '1020\\t2\\tBowenur, Mr. Solomon\\tmale\\t42.0\\t0\\t0\\t211535\\t13.0\\t\\tS\\n',\n",
       "  '1021\\t3\\tPetersen, Mr. Marius\\tmale\\t24.0\\t0\\t0\\t342441\\t8.05\\t\\tS\\n',\n",
       "  '1022\\t3\\tSpinner, Mr. Henry John\\tmale\\t32.0\\t0\\t0\\tSTON/OQ. 369943\\t8.05\\t\\tS\\n',\n",
       "  '1023\\t1\\tGracie, Col. Archibald IV\\tmale\\t53.0\\t0\\t0\\t113780\\t28.5\\tC51\\tC\\n',\n",
       "  '1024\\t3\\tLefebre, Mrs. Frank (Frances)\\tfemale\\t\\t0\\t4\\t4133\\t25.4667\\t\\tS\\n',\n",
       "  '1025\\t3\\tThomas, Mr. Charles P\\tmale\\t\\t1\\t0\\t2621\\t6.4375\\t\\tC\\n',\n",
       "  '1026\\t3\\tDintcheff, Mr. Valtcho\\tmale\\t43.0\\t0\\t0\\t349226\\t7.8958\\t\\tS\\n',\n",
       "  '1027\\t3\\tCarlsson, Mr. Carl Robert\\tmale\\t24.0\\t0\\t0\\t350409\\t7.8542\\t\\tS\\n',\n",
       "  '1028\\t3\\tZakarian, Mr. Mapriededer\\tmale\\t26.5\\t0\\t0\\t2656\\t7.225\\t\\tC\\n',\n",
       "  '1029\\t2\\tSchmidt, Mr. August\\tmale\\t26.0\\t0\\t0\\t248659\\t13.0\\t\\tS\\n',\n",
       "  '1030\\t3\\tDrapkin, Miss. Jennie\\tfemale\\t23.0\\t0\\t0\\tSOTON/OQ 392083\\t8.05\\t\\tS\\n',\n",
       "  '1031\\t3\\tGoodwin, Mr. Charles Frederick\\tmale\\t40.0\\t1\\t6\\tCA 2144\\t46.9\\t\\tS\\n',\n",
       "  '1032\\t3\\tGoodwin, Miss. Jessie Allis\\tfemale\\t10.0\\t5\\t2\\tCA 2144\\t46.9\\t\\tS\\n',\n",
       "  '1033\\t1\\tDaniels, Miss. Sarah\\tfemale\\t33.0\\t0\\t0\\t113781\\t151.55\\t\\tS\\n',\n",
       "  '1034\\t1\\tRyerson, Mr. Arthur Larned\\tmale\\t61.0\\t1\\t3\\tPC 17608\\t262.375\\tB57 B59 B63 B66\\tC\\n',\n",
       "  '1035\\t2\\tBeauchamp, Mr. Henry James\\tmale\\t28.0\\t0\\t0\\t244358\\t26.0\\t\\tS\\n',\n",
       "  '1036\\t1\\t\"Lindeberg-Lind, Mr. Erik Gustaf (Mr Edward Lingrey\"\")\"\"\"\\tmale\\t42.0\\t0\\t0\\t17475\\t26.55\\t\\tS\\n',\n",
       "  '1037\\t3\\tVander Planke, Mr. Julius\\tmale\\t31.0\\t3\\t0\\t345763\\t18.0\\t\\tS\\n',\n",
       "  '1038\\t1\\tHilliard, Mr. Herbert Henry\\tmale\\t\\t0\\t0\\t17463\\t51.8625\\tE46\\tS\\n',\n",
       "  '1039\\t3\\tDavies, Mr. Evan\\tmale\\t22.0\\t0\\t0\\tSC/A4 23568\\t8.05\\t\\tS\\n',\n",
       "  '1040\\t1\\tCrafton, Mr. John Bertram\\tmale\\t\\t0\\t0\\t113791\\t26.55\\t\\tS\\n',\n",
       "  '1041\\t2\\tLahtinen, Rev. William\\tmale\\t30.0\\t1\\t1\\t250651\\t26.0\\t\\tS\\n',\n",
       "  '1042\\t1\\tEarnshaw, Mrs. Boulton (Olive Potter)\\tfemale\\t23.0\\t0\\t1\\t11767\\t83.1583\\tC54\\tC\\n',\n",
       "  '1043\\t3\\tMatinoff, Mr. Nicola\\tmale\\t\\t0\\t0\\t349255\\t7.8958\\t\\tC\\n',\n",
       "  '1044\\t3\\tStorey, Mr. Thomas\\tmale\\t60.5\\t0\\t0\\t3701\\t\\t\\tS\\n',\n",
       "  '1045\\t3\\tKlasen, Mrs. (Hulda Kristina Eugenia Lofqvist)\\tfemale\\t36.0\\t0\\t2\\t350405\\t12.1833\\t\\tS\\n',\n",
       "  '1046\\t3\\tAsplund, Master. Filip Oscar\\tmale\\t13.0\\t4\\t2\\t347077\\t31.3875\\t\\tS\\n',\n",
       "  '1047\\t3\\tDuquemin, Mr. Joseph\\tmale\\t24.0\\t0\\t0\\tS.O./P.P. 752\\t7.55\\t\\tS\\n',\n",
       "  '1048\\t1\\tBird, Miss. Ellen\\tfemale\\t29.0\\t0\\t0\\tPC 17483\\t221.7792\\tC97\\tS\\n',\n",
       "  '1049\\t3\\tLundin, Miss. Olga Elida\\tfemale\\t23.0\\t0\\t0\\t347469\\t7.8542\\t\\tS\\n',\n",
       "  '1050\\t1\\tBorebank, Mr. John James\\tmale\\t42.0\\t0\\t0\\t110489\\t26.55\\tD22\\tS\\n',\n",
       "  '1051\\t3\\tPeacock, Mrs. Benjamin (Edith Nile)\\tfemale\\t26.0\\t0\\t2\\tSOTON/O.Q. 3101315\\t13.775\\t\\tS\\n',\n",
       "  '1052\\t3\\tSmyth, Miss. Julia\\tfemale\\t\\t0\\t0\\t335432\\t7.7333\\t\\tQ\\n',\n",
       "  '1053\\t3\\tTouma, Master. Georges Youssef\\tmale\\t7.0\\t1\\t1\\t2650\\t15.2458\\t\\tC\\n',\n",
       "  '1054\\t2\\tWright, Miss. Marion\\tfemale\\t26.0\\t0\\t0\\t220844\\t13.5\\t\\tS\\n',\n",
       "  '1055\\t3\\tPearce, Mr. Ernest\\tmale\\t\\t0\\t0\\t343271\\t7.0\\t\\tS\\n',\n",
       "  '1056\\t2\\tPeruschitz, Rev. Joseph Maria\\tmale\\t41.0\\t0\\t0\\t237393\\t13.0\\t\\tS\\n',\n",
       "  '1057\\t3\\tKink-Heilmann, Mrs. Anton (Luise Heilmann)\\tfemale\\t26.0\\t1\\t1\\t315153\\t22.025\\t\\tS\\n',\n",
       "  '1058\\t1\\tBrandeis, Mr. Emil\\tmale\\t48.0\\t0\\t0\\tPC 17591\\t50.4958\\tB10\\tC\\n',\n",
       "  '1059\\t3\\tFord, Mr. Edward Watson\\tmale\\t18.0\\t2\\t2\\tW./C. 6608\\t34.375\\t\\tS\\n',\n",
       "  '1060\\t1\\tCassebeer, Mrs. Henry Arthur Jr (Eleanor Genevieve Fosdick)\\tfemale\\t\\t0\\t0\\t17770\\t27.7208\\t\\tC\\n',\n",
       "  '1061\\t3\\tHellstrom, Miss. Hilda Maria\\tfemale\\t22.0\\t0\\t0\\t7548\\t8.9625\\t\\tS\\n',\n",
       "  '1062\\t3\\tLithman, Mr. Simon\\tmale\\t\\t0\\t0\\tS.O./P.P. 251\\t7.55\\t\\tS\\n',\n",
       "  '1063\\t3\\tZakarian, Mr. Ortin\\tmale\\t27.0\\t0\\t0\\t2670\\t7.225\\t\\tC\\n',\n",
       "  '1064\\t3\\tDyker, Mr. Adolf Fredrik\\tmale\\t23.0\\t1\\t0\\t347072\\t13.9\\t\\tS\\n',\n",
       "  '1065\\t3\\tTorfa, Mr. Assad\\tmale\\t\\t0\\t0\\t2673\\t7.2292\\t\\tC\\n',\n",
       "  '1066\\t3\\tAsplund, Mr. Carl Oscar Vilhelm Gustafsson\\tmale\\t40.0\\t1\\t5\\t347077\\t31.3875\\t\\tS\\n',\n",
       "  '1067\\t2\\tBrown, Miss. Edith Eileen\\tfemale\\t15.0\\t0\\t2\\t29750\\t39.0\\t\\tS\\n',\n",
       "  '1068\\t2\\tSincock, Miss. Maude\\tfemale\\t20.0\\t0\\t0\\tC.A. 33112\\t36.75\\t\\tS\\n',\n",
       "  '1069\\t1\\tStengel, Mr. Charles Emil Henry\\tmale\\t54.0\\t1\\t0\\t11778\\t55.4417\\tC116\\tC\\n',\n",
       "  '1070\\t2\\tBecker, Mrs. Allen Oliver (Nellie E Baumgardner)\\tfemale\\t36.0\\t0\\t3\\t230136\\t39.0\\tF4\\tS\\n',\n",
       "  '1071\\t1\\tCompton, Mrs. Alexander Taylor (Mary Eliza Ingersoll)\\tfemale\\t64.0\\t0\\t2\\tPC 17756\\t83.1583\\tE45\\tC\\n',\n",
       "  '1072\\t2\\tMcCrie, Mr. James Matthew\\tmale\\t30.0\\t0\\t0\\t233478\\t13.0\\t\\tS\\n',\n",
       "  '1073\\t1\\tCompton, Mr. Alexander Taylor Jr\\tmale\\t37.0\\t1\\t1\\tPC 17756\\t83.1583\\tE52\\tC\\n',\n",
       "  '1074\\t1\\tMarvin, Mrs. Daniel Warner (Mary Graham Carmichael Farquarson)\\tfemale\\t18.0\\t1\\t0\\t113773\\t53.1\\tD30\\tS\\n',\n",
       "  '1075\\t3\\tLane, Mr. Patrick\\tmale\\t\\t0\\t0\\t7935\\t7.75\\t\\tQ\\n',\n",
       "  '1076\\t1\\tDouglas, Mrs. Frederick Charles (Mary Helene Baxter)\\tfemale\\t27.0\\t1\\t1\\tPC 17558\\t247.5208\\tB58 B60\\tC\\n',\n",
       "  '1077\\t2\\tMaybery, Mr. Frank Hubert\\tmale\\t40.0\\t0\\t0\\t239059\\t16.0\\t\\tS\\n',\n",
       "  '1078\\t2\\tPhillips, Miss. Alice Frances Louisa\\tfemale\\t21.0\\t0\\t1\\tS.O./P.P. 2\\t21.0\\t\\tS\\n',\n",
       "  '1079\\t3\\tDavies, Mr. Joseph\\tmale\\t17.0\\t2\\t0\\tA/4 48873\\t8.05\\t\\tS\\n',\n",
       "  '1080\\t3\\tSage, Miss. Ada\\tfemale\\t\\t8\\t2\\tCA. 2343\\t69.55\\t\\tS\\n',\n",
       "  '1081\\t2\\tVeal, Mr. James\\tmale\\t40.0\\t0\\t0\\t28221\\t13.0\\t\\tS\\n',\n",
       "  '1082\\t2\\tAngle, Mr. William A\\tmale\\t34.0\\t1\\t0\\t226875\\t26.0\\t\\tS\\n',\n",
       "  '1083\\t1\\tSalomon, Mr. Abraham L\\tmale\\t\\t0\\t0\\t111163\\t26.0\\t\\tS\\n',\n",
       "  '1084\\t3\\tvan Billiard, Master. Walter John\\tmale\\t11.5\\t1\\t1\\tA/5. 851\\t14.5\\t\\tS\\n',\n",
       "  '1085\\t2\\tLingane, Mr. John\\tmale\\t61.0\\t0\\t0\\t235509\\t12.35\\t\\tQ\\n',\n",
       "  '1086\\t2\\tDrew, Master. Marshall Brines\\tmale\\t8.0\\t0\\t2\\t28220\\t32.5\\t\\tS\\n',\n",
       "  '1087\\t3\\tKarlsson, Mr. Julius Konrad Eugen\\tmale\\t33.0\\t0\\t0\\t347465\\t7.8542\\t\\tS\\n',\n",
       "  '1088\\t1\\tSpedden, Master. Robert Douglas\\tmale\\t6.0\\t0\\t2\\t16966\\t134.5\\tE34\\tC\\n',\n",
       "  '1089\\t3\\tNilsson, Miss. Berta Olivia\\tfemale\\t18.0\\t0\\t0\\t347066\\t7.775\\t\\tS\\n',\n",
       "  '1090\\t2\\tBaimbrigge, Mr. Charles Robert\\tmale\\t23.0\\t0\\t0\\tC.A. 31030\\t10.5\\t\\tS\\n',\n",
       "  '1091\\t3\\tRasmussen, Mrs. (Lena Jacobsen Solvang)\\tfemale\\t\\t0\\t0\\t65305\\t8.1125\\t\\tS\\n',\n",
       "  '1092\\t3\\tMurphy, Miss. Nora\\tfemale\\t\\t0\\t0\\t36568\\t15.5\\t\\tQ\\n',\n",
       "  '1093\\t3\\tDanbom, Master. Gilbert Sigvard Emanuel\\tmale\\t0.33\\t0\\t2\\t347080\\t14.4\\t\\tS\\n',\n",
       "  '1094\\t1\\tAstor, Col. John Jacob\\tmale\\t47.0\\t1\\t0\\tPC 17757\\t227.525\\tC62 C64\\tC\\n',\n",
       "  '1095\\t2\\tQuick, Miss. Winifred Vera\\tfemale\\t8.0\\t1\\t1\\t26360\\t26.0\\t\\tS\\n',\n",
       "  '1096\\t2\\tAndrew, Mr. Frank Thomas\\tmale\\t25.0\\t0\\t0\\tC.A. 34050\\t10.5\\t\\tS\\n',\n",
       "  '1097\\t1\\tOmont, Mr. Alfred Fernand\\tmale\\t\\t0\\t0\\tF.C. 12998\\t25.7417\\t\\tC\\n',\n",
       "  '1098\\t3\\tMcGowan, Miss. Katherine\\tfemale\\t35.0\\t0\\t0\\t9232\\t7.75\\t\\tQ\\n',\n",
       "  '1099\\t2\\tCollett, Mr. Sidney C Stuart\\tmale\\t24.0\\t0\\t0\\t28034\\t10.5\\t\\tS\\n',\n",
       "  '1100\\t1\\tRosenbaum, Miss. Edith Louise\\tfemale\\t33.0\\t0\\t0\\tPC 17613\\t27.7208\\tA11\\tC\\n',\n",
       "  '1101\\t3\\tDelalic, Mr. Redjo\\tmale\\t25.0\\t0\\t0\\t349250\\t7.8958\\t\\tS\\n',\n",
       "  '1102\\t3\\tAndersen, Mr. Albert Karvin\\tmale\\t32.0\\t0\\t0\\tC 4001\\t22.525\\t\\tS\\n',\n",
       "  '1103\\t3\\tFinoli, Mr. Luigi\\tmale\\t\\t0\\t0\\tSOTON/O.Q. 3101308\\t7.05\\t\\tS\\n',\n",
       "  '1104\\t2\\tDeacon, Mr. Percy William\\tmale\\t17.0\\t0\\t0\\tS.O.C. 14879\\t73.5\\t\\tS\\n',\n",
       "  '1105\\t2\\tHoward, Mrs. Benjamin (Ellen Truelove Arman)\\tfemale\\t60.0\\t1\\t0\\t24065\\t26.0\\t\\tS\\n',\n",
       "  '1106\\t3\\tAndersson, Miss. Ida Augusta Margareta\\tfemale\\t38.0\\t4\\t2\\t347091\\t7.775\\t\\tS\\n',\n",
       "  '1107\\t1\\tHead, Mr. Christopher\\tmale\\t42.0\\t0\\t0\\t113038\\t42.5\\tB11\\tS\\n',\n",
       "  '1108\\t3\\tMahon, Miss. Bridget Delia\\tfemale\\t\\t0\\t0\\t330924\\t7.8792\\t\\tQ\\n',\n",
       "  '1109\\t1\\tWick, Mr. George Dennick\\tmale\\t57.0\\t1\\t1\\t36928\\t164.8667\\t\\tS\\n',\n",
       "  '1110\\t1\\tWidener, Mrs. George Dunton (Eleanor Elkins)\\tfemale\\t50.0\\t1\\t1\\t113503\\t211.5\\tC80\\tC\\n',\n",
       "  '1111\\t3\\tThomson, Mr. Alexander Morrison\\tmale\\t\\t0\\t0\\t32302\\t8.05\\t\\tS\\n',\n",
       "  '1112\\t2\\tDuran y More, Miss. Florentina\\tfemale\\t30.0\\t1\\t0\\tSC/PARIS 2148\\t13.8583\\t\\tC\\n',\n",
       "  '1113\\t3\\tReynolds, Mr. Harold J\\tmale\\t21.0\\t0\\t0\\t342684\\t8.05\\t\\tS\\n',\n",
       "  '1114\\t2\\tCook, Mrs. (Selena Rogers)\\tfemale\\t22.0\\t0\\t0\\tW./C. 14266\\t10.5\\tF33\\tS\\n',\n",
       "  '1115\\t3\\tKarlsson, Mr. Einar Gervasius\\tmale\\t21.0\\t0\\t0\\t350053\\t7.7958\\t\\tS\\n',\n",
       "  '1116\\t1\\tCandee, Mrs. Edward (Helen Churchill Hungerford)\\tfemale\\t53.0\\t0\\t0\\tPC 17606\\t27.4458\\t\\tC\\n',\n",
       "  '1117\\t3\\t\"Moubarek, Mrs. George (Omine Amenia\"\" Alexander)\"\"\"\\tfemale\\t\\t0\\t2\\t2661\\t15.2458\\t\\tC\\n',\n",
       "  '1118\\t3\\tAsplund, Mr. Johan Charles\\tmale\\t23.0\\t0\\t0\\t350054\\t7.7958\\t\\tS\\n',\n",
       "  '1119\\t3\\tMcNeill, Miss. Bridget\\tfemale\\t\\t0\\t0\\t370368\\t7.75\\t\\tQ\\n',\n",
       "  '1120\\t3\\tEverett, Mr. Thomas James\\tmale\\t40.5\\t0\\t0\\tC.A. 6212\\t15.1\\t\\tS\\n',\n",
       "  '1121\\t2\\tHocking, Mr. Samuel James Metcalfe\\tmale\\t36.0\\t0\\t0\\t242963\\t13.0\\t\\tS\\n',\n",
       "  '1122\\t2\\tSweet, Mr. George Frederick\\tmale\\t14.0\\t0\\t0\\t220845\\t65.0\\t\\tS\\n',\n",
       "  '1123\\t1\\tWillard, Miss. Constance\\tfemale\\t21.0\\t0\\t0\\t113795\\t26.55\\t\\tS\\n',\n",
       "  '1124\\t3\\tWiklund, Mr. Karl Johan\\tmale\\t21.0\\t1\\t0\\t3101266\\t6.4958\\t\\tS\\n',\n",
       "  '1125\\t3\\tLinehan, Mr. Michael\\tmale\\t\\t0\\t0\\t330971\\t7.8792\\t\\tQ\\n',\n",
       "  '1126\\t1\\tCumings, Mr. John Bradley\\tmale\\t39.0\\t1\\t0\\tPC 17599\\t71.2833\\tC85\\tC\\n',\n",
       "  '1127\\t3\\tVendel, Mr. Olof Edvin\\tmale\\t20.0\\t0\\t0\\t350416\\t7.8542\\t\\tS\\n',\n",
       "  '1128\\t1\\tWarren, Mr. Frank Manley\\tmale\\t64.0\\t1\\t0\\t110813\\t75.25\\tD37\\tC\\n',\n",
       "  '1129\\t3\\tBaccos, Mr. Raffull\\tmale\\t20.0\\t0\\t0\\t2679\\t7.225\\t\\tC\\n',\n",
       "  '1130\\t2\\tHiltunen, Miss. Marta\\tfemale\\t18.0\\t1\\t1\\t250650\\t13.0\\t\\tS\\n',\n",
       "  '1131\\t1\\tDouglas, Mrs. Walter Donald (Mahala Dutton)\\tfemale\\t48.0\\t1\\t0\\tPC 17761\\t106.425\\tC86\\tC\\n',\n",
       "  '1132\\t1\\tLindstrom, Mrs. Carl Johan (Sigrid Posse)\\tfemale\\t55.0\\t0\\t0\\t112377\\t27.7208\\t\\tC\\n',\n",
       "  '1133\\t2\\tChristy, Mrs. (Alice Frances)\\tfemale\\t45.0\\t0\\t2\\t237789\\t30.0\\t\\tS\\n',\n",
       "  '1134\\t1\\tSpedden, Mr. Frederic Oakley\\tmale\\t45.0\\t1\\t1\\t16966\\t134.5\\tE34\\tC\\n',\n",
       "  '1135\\t3\\tHyman, Mr. Abraham\\tmale\\t\\t0\\t0\\t3470\\t7.8875\\t\\tS\\n',\n",
       "  '1136\\t3\\t\"Johnston, Master. William Arthur Willie\"\"\"\"\"\\tmale\\t\\t1\\t2\\tW./C. 6607\\t23.45\\t\\tS\\n',\n",
       "  '1137\\t1\\tKenyon, Mr. Frederick R\\tmale\\t41.0\\t1\\t0\\t17464\\t51.8625\\tD21\\tS\\n',\n",
       "  '1138\\t2\\tKarnes, Mrs. J Frank (Claire Bennett)\\tfemale\\t22.0\\t0\\t0\\tF.C.C. 13534\\t21.0\\t\\tS\\n',\n",
       "  '1139\\t2\\tDrew, Mr. James Vivian\\tmale\\t42.0\\t1\\t1\\t28220\\t32.5\\t\\tS\\n',\n",
       "  '1140\\t2\\tHold, Mrs. Stephen (Annie Margaret Hill)\\tfemale\\t29.0\\t1\\t0\\t26707\\t26.0\\t\\tS\\n',\n",
       "  '1141\\t3\\t\"Khalil, Mrs. Betros (Zahie Maria\"\" Elias)\"\"\"\\tfemale\\t\\t1\\t0\\t2660\\t14.4542\\t\\tC\\n',\n",
       "  '1142\\t2\\tWest, Miss. Barbara J\\tfemale\\t0.92\\t1\\t2\\tC.A. 34651\\t27.75\\t\\tS\\n',\n",
       "  '1143\\t3\\tAbrahamsson, Mr. Abraham August Johannes\\tmale\\t20.0\\t0\\t0\\tSOTON/O2 3101284\\t7.925\\t\\tS\\n',\n",
       "  '1144\\t1\\tClark, Mr. Walter Miller\\tmale\\t27.0\\t1\\t0\\t13508\\t136.7792\\tC89\\tC\\n',\n",
       "  '1145\\t3\\tSalander, Mr. Karl Johan\\tmale\\t24.0\\t0\\t0\\t7266\\t9.325\\t\\tS\\n',\n",
       "  '1146\\t3\\tWenzel, Mr. Linhart\\tmale\\t32.5\\t0\\t0\\t345775\\t9.5\\t\\tS\\n',\n",
       "  '1147\\t3\\tMacKay, Mr. George William\\tmale\\t\\t0\\t0\\tC.A. 42795\\t7.55\\t\\tS\\n',\n",
       "  '1148\\t3\\tMahon, Mr. John\\tmale\\t\\t0\\t0\\tAQ/4 3130\\t7.75\\t\\tQ\\n',\n",
       "  '1149\\t3\\tNiklasson, Mr. Samuel\\tmale\\t28.0\\t0\\t0\\t363611\\t8.05\\t\\tS\\n',\n",
       "  '1150\\t2\\tBentham, Miss. Lilian W\\tfemale\\t19.0\\t0\\t0\\t28404\\t13.0\\t\\tS\\n',\n",
       "  '1151\\t3\\tMidtsjo, Mr. Karl Albert\\tmale\\t21.0\\t0\\t0\\t345501\\t7.775\\t\\tS\\n',\n",
       "  '1152\\t3\\tde Messemaeker, Mr. Guillaume Joseph\\tmale\\t36.5\\t1\\t0\\t345572\\t17.4\\t\\tS\\n',\n",
       "  '1153\\t3\\tNilsson, Mr. August Ferdinand\\tmale\\t21.0\\t0\\t0\\t350410\\t7.8542\\t\\tS\\n',\n",
       "  '1154\\t2\\t\"Wells, Mrs. Arthur Henry (Addie\"\" Dart Trevaskis)\"\"\"\\tfemale\\t29.0\\t0\\t2\\t29103\\t23.0\\t\\tS\\n',\n",
       "  '1155\\t3\\tKlasen, Miss. Gertrud Emilia\\tfemale\\t1.0\\t1\\t1\\t350405\\t12.1833\\t\\tS\\n',\n",
       "  '1156\\t2\\tPortaluppi, Mr. Emilio Ilario Giuseppe\\tmale\\t30.0\\t0\\t0\\tC.A. 34644\\t12.7375\\t\\tC\\n',\n",
       "  '1157\\t3\\tLyntakoff, Mr. Stanko\\tmale\\t\\t0\\t0\\t349235\\t7.8958\\t\\tS\\n',\n",
       "  '1158\\t1\\tChisholm, Mr. Roderick Robert Crispin\\tmale\\t\\t0\\t0\\t112051\\t0.0\\t\\tS\\n',\n",
       "  '1159\\t3\\tWarren, Mr. Charles William\\tmale\\t\\t0\\t0\\tC.A. 49867\\t7.55\\t\\tS\\n',\n",
       "  '1160\\t3\\tHoward, Miss. May Elizabeth\\tfemale\\t\\t0\\t0\\tA. 2. 39186\\t8.05\\t\\tS\\n',\n",
       "  '1161\\t3\\tPokrnic, Mr. Mate\\tmale\\t17.0\\t0\\t0\\t315095\\t8.6625\\t\\tS\\n',\n",
       "  '1162\\t1\\tMcCaffry, Mr. Thomas Francis\\tmale\\t46.0\\t0\\t0\\t13050\\t75.2417\\tC6\\tC\\n',\n",
       "  '1163\\t3\\tFox, Mr. Patrick\\tmale\\t\\t0\\t0\\t368573\\t7.75\\t\\tQ\\n',\n",
       "  '1164\\t1\\tClark, Mrs. Walter Miller (Virginia McDowell)\\tfemale\\t26.0\\t1\\t0\\t13508\\t136.7792\\tC89\\tC\\n',\n",
       "  '1165\\t3\\tLennon, Miss. Mary\\tfemale\\t\\t1\\t0\\t370371\\t15.5\\t\\tQ\\n',\n",
       "  '1166\\t3\\tSaade, Mr. Jean Nassr\\tmale\\t\\t0\\t0\\t2676\\t7.225\\t\\tC\\n',\n",
       "  '1167\\t2\\tBryhl, Miss. Dagmar Jenny Ingeborg \\tfemale\\t20.0\\t1\\t0\\t236853\\t26.0\\t\\tS\\n',\n",
       "  '1168\\t2\\tParker, Mr. Clifford Richard\\tmale\\t28.0\\t0\\t0\\tSC 14888\\t10.5\\t\\tS\\n',\n",
       "  '1169\\t2\\tFaunthorpe, Mr. Harry\\tmale\\t40.0\\t1\\t0\\t2926\\t26.0\\t\\tS\\n',\n",
       "  '1170\\t2\\tWare, Mr. John James\\tmale\\t30.0\\t1\\t0\\tCA 31352\\t21.0\\t\\tS\\n',\n",
       "  '1171\\t2\\tOxenham, Mr. Percy Thomas\\tmale\\t22.0\\t0\\t0\\tW./C. 14260\\t10.5\\t\\tS\\n',\n",
       "  '1172\\t3\\tOreskovic, Miss. Jelka\\tfemale\\t23.0\\t0\\t0\\t315085\\t8.6625\\t\\tS\\n',\n",
       "  '1173\\t3\\tPeacock, Master. Alfred Edward\\tmale\\t0.75\\t1\\t1\\tSOTON/O.Q. 3101315\\t13.775\\t\\tS\\n',\n",
       "  '1174\\t3\\tFleming, Miss. Honora\\tfemale\\t\\t0\\t0\\t364859\\t7.75\\t\\tQ\\n',\n",
       "  '1175\\t3\\tTouma, Miss. Maria Youssef\\tfemale\\t9.0\\t1\\t1\\t2650\\t15.2458\\t\\tC\\n',\n",
       "  '1176\\t3\\tRosblom, Miss. Salli Helena\\tfemale\\t2.0\\t1\\t1\\t370129\\t20.2125\\t\\tS\\n',\n",
       "  '1177\\t3\\tDennis, Mr. William\\tmale\\t36.0\\t0\\t0\\tA/5 21175\\t7.25\\t\\tS\\n',\n",
       "  '1178\\t3\\tFranklin, Mr. Charles (Charles Fardon)\\tmale\\t\\t0\\t0\\tSOTON/O.Q. 3101314\\t7.25\\t\\tS\\n',\n",
       "  '1179\\t1\\tSnyder, Mr. John Pillsbury\\tmale\\t24.0\\t1\\t0\\t21228\\t82.2667\\tB45\\tS\\n',\n",
       "  '1180\\t3\\tMardirosian, Mr. Sarkis\\tmale\\t\\t0\\t0\\t2655\\t7.2292\\tF E46\\tC\\n',\n",
       "  '1181\\t3\\tFord, Mr. Arthur\\tmale\\t\\t0\\t0\\tA/5 1478\\t8.05\\t\\tS\\n',\n",
       "  '1182\\t1\\tRheims, Mr. George Alexander Lucien\\tmale\\t\\t0\\t0\\tPC 17607\\t39.6\\t\\tS\\n',\n",
       "  '1183\\t3\\t\"Daly, Miss. Margaret Marcella Maggie\"\"\"\"\"\\tfemale\\t30.0\\t0\\t0\\t382650\\t6.95\\t\\tQ\\n',\n",
       "  '1184\\t3\\tNasr, Mr. Mustafa\\tmale\\t\\t0\\t0\\t2652\\t7.2292\\t\\tC\\n',\n",
       "  '1185\\t1\\tDodge, Dr. Washington\\tmale\\t53.0\\t1\\t1\\t33638\\t81.8583\\tA34\\tS\\n',\n",
       "  '1186\\t3\\tWittevrongel, Mr. Camille\\tmale\\t36.0\\t0\\t0\\t345771\\t9.5\\t\\tS\\n',\n",
       "  '1187\\t3\\tAngheloff, Mr. Minko\\tmale\\t26.0\\t0\\t0\\t349202\\t7.8958\\t\\tS\\n',\n",
       "  '1188\\t2\\tLaroche, Miss. Louise\\tfemale\\t1.0\\t1\\t2\\tSC/Paris 2123\\t41.5792\\t\\tC\\n',\n",
       "  '1189\\t3\\tSamaan, Mr. Hanna\\tmale\\t\\t2\\t0\\t2662\\t21.6792\\t\\tC\\n',\n",
       "  '1190\\t1\\tLoring, Mr. Joseph Holland\\tmale\\t30.0\\t0\\t0\\t113801\\t45.5\\t\\tS\\n',\n",
       "  '1191\\t3\\tJohansson, Mr. Nils\\tmale\\t29.0\\t0\\t0\\t347467\\t7.8542\\t\\tS\\n',\n",
       "  '1192\\t3\\tOlsson, Mr. Oscar Wilhelm\\tmale\\t32.0\\t0\\t0\\t347079\\t7.775\\t\\tS\\n',\n",
       "  '1193\\t2\\tMalachard, Mr. Noel\\tmale\\t\\t0\\t0\\t237735\\t15.0458\\tD\\tC\\n',\n",
       "  '1194\\t2\\tPhillips, Mr. Escott Robert\\tmale\\t43.0\\t0\\t1\\tS.O./P.P. 2\\t21.0\\t\\tS\\n',\n",
       "  '1195\\t3\\tPokrnic, Mr. Tome\\tmale\\t24.0\\t0\\t0\\t315092\\t8.6625\\t\\tS\\n',\n",
       "  '1196\\t3\\t\"McCarthy, Miss. Catherine Katie\"\"\"\"\"\\tfemale\\t\\t0\\t0\\t383123\\t7.75\\t\\tQ\\n',\n",
       "  '1197\\t1\\tCrosby, Mrs. Edward Gifford (Catherine Elizabeth Halstead)\\tfemale\\t64.0\\t1\\t1\\t112901\\t26.55\\tB26\\tS\\n',\n",
       "  '1198\\t1\\tAllison, Mr. Hudson Joshua Creighton\\tmale\\t30.0\\t1\\t2\\t113781\\t151.55\\tC22 C26\\tS\\n',\n",
       "  '1199\\t3\\tAks, Master. Philip Frank\\tmale\\t0.83\\t0\\t1\\t392091\\t9.35\\t\\tS\\n',\n",
       "  '1200\\t1\\tHays, Mr. Charles Melville\\tmale\\t55.0\\t1\\t1\\t12749\\t93.5\\tB69\\tS\\n',\n",
       "  '1201\\t3\\tHansen, Mrs. Claus Peter (Jennie L Howard)\\tfemale\\t45.0\\t1\\t0\\t350026\\t14.1083\\t\\tS\\n',\n",
       "  '1202\\t3\\tCacic, Mr. Jego Grga\\tmale\\t18.0\\t0\\t0\\t315091\\t8.6625\\t\\tS\\n',\n",
       "  '1203\\t3\\tVartanian, Mr. David\\tmale\\t22.0\\t0\\t0\\t2658\\t7.225\\t\\tC\\n',\n",
       "  '1204\\t3\\tSadowitz, Mr. Harry\\tmale\\t\\t0\\t0\\tLP 1588\\t7.575\\t\\tS\\n',\n",
       "  '1205\\t3\\tCarr, Miss. Jeannie\\tfemale\\t37.0\\t0\\t0\\t368364\\t7.75\\t\\tQ\\n',\n",
       "  '1206\\t1\\tWhite, Mrs. John Stuart (Ella Holmes)\\tfemale\\t55.0\\t0\\t0\\tPC 17760\\t135.6333\\tC32\\tC\\n',\n",
       "  '1207\\t3\\tHagardon, Miss. Kate\\tfemale\\t17.0\\t0\\t0\\tAQ/3. 30631\\t7.7333\\t\\tQ\\n',\n",
       "  '1208\\t1\\tSpencer, Mr. William Augustus\\tmale\\t57.0\\t1\\t0\\tPC 17569\\t146.5208\\tB78\\tC\\n',\n",
       "  '1209\\t2\\tRogers, Mr. Reginald Harry\\tmale\\t19.0\\t0\\t0\\t28004\\t10.5\\t\\tS\\n',\n",
       "  '1210\\t3\\tJonsson, Mr. Nils Hilding\\tmale\\t27.0\\t0\\t0\\t350408\\t7.8542\\t\\tS\\n',\n",
       "  '1211\\t2\\tJefferys, Mr. Ernest Wilfred\\tmale\\t22.0\\t2\\t0\\tC.A. 31029\\t31.5\\t\\tS\\n',\n",
       "  '1212\\t3\\tAndersson, Mr. Johan Samuel\\tmale\\t26.0\\t0\\t0\\t347075\\t7.775\\t\\tS\\n',\n",
       "  '1213\\t3\\tKrekorian, Mr. Neshan\\tmale\\t25.0\\t0\\t0\\t2654\\t7.2292\\tF E57\\tC\\n',\n",
       "  '1214\\t2\\tNesson, Mr. Israel\\tmale\\t26.0\\t0\\t0\\t244368\\t13.0\\tF2\\tS\\n',\n",
       "  '1215\\t1\\tRowe, Mr. Alfred G\\tmale\\t33.0\\t0\\t0\\t113790\\t26.55\\t\\tS\\n',\n",
       "  '1216\\t1\\tKreuchen, Miss. Emilie\\tfemale\\t39.0\\t0\\t0\\t24160\\t211.3375\\t\\tS\\n',\n",
       "  '1217\\t3\\tAssam, Mr. Ali\\tmale\\t23.0\\t0\\t0\\tSOTON/O.Q. 3101309\\t7.05\\t\\tS\\n',\n",
       "  '1218\\t2\\tBecker, Miss. Ruth Elizabeth\\tfemale\\t12.0\\t2\\t1\\t230136\\t39.0\\tF4\\tS\\n',\n",
       "  '1219\\t1\\t\"Rosenshine, Mr. George (Mr George Thorne\"\")\"\"\"\\tmale\\t46.0\\t0\\t0\\tPC 17585\\t79.2\\t\\tC\\n',\n",
       "  '1220\\t2\\tClarke, Mr. Charles Valentine\\tmale\\t29.0\\t1\\t0\\t2003\\t26.0\\t\\tS\\n',\n",
       "  '1221\\t2\\tEnander, Mr. Ingvar\\tmale\\t21.0\\t0\\t0\\t236854\\t13.0\\t\\tS\\n',\n",
       "  '1222\\t2\\tDavies, Mrs. John Morgan (Elizabeth Agnes Mary White) \\tfemale\\t48.0\\t0\\t2\\tC.A. 33112\\t36.75\\t\\tS\\n',\n",
       "  '1223\\t1\\tDulles, Mr. William Crothers\\tmale\\t39.0\\t0\\t0\\tPC 17580\\t29.7\\tA18\\tC\\n',\n",
       "  '1224\\t3\\tThomas, Mr. Tannous\\tmale\\t\\t0\\t0\\t2684\\t7.225\\t\\tC\\n',\n",
       "  '1225\\t3\\t\"Nakid, Mrs. Said (Waika Mary\"\" Mowad)\"\"\"\\tfemale\\t19.0\\t1\\t1\\t2653\\t15.7417\\t\\tC\\n',\n",
       "  '1226\\t3\\tCor, Mr. Ivan\\tmale\\t27.0\\t0\\t0\\t349229\\t7.8958\\t\\tS\\n',\n",
       "  '1227\\t1\\tMaguire, Mr. John Edward\\tmale\\t30.0\\t0\\t0\\t110469\\t26.0\\tC106\\tS\\n',\n",
       "  '1228\\t2\\tde Brito, Mr. Jose Joaquim\\tmale\\t32.0\\t0\\t0\\t244360\\t13.0\\t\\tS\\n',\n",
       "  '1229\\t3\\tElias, Mr. Joseph\\tmale\\t39.0\\t0\\t2\\t2675\\t7.2292\\t\\tC\\n',\n",
       "  '1230\\t2\\tDenbury, Mr. Herbert\\tmale\\t25.0\\t0\\t0\\tC.A. 31029\\t31.5\\t\\tS\\n',\n",
       "  '1231\\t3\\tBetros, Master. Seman\\tmale\\t\\t0\\t0\\t2622\\t7.2292\\t\\tC\\n',\n",
       "  '1232\\t2\\tFillbrook, Mr. Joseph Charles\\tmale\\t18.0\\t0\\t0\\tC.A. 15185\\t10.5\\t\\tS\\n',\n",
       "  '1233\\t3\\tLundstrom, Mr. Thure Edvin\\tmale\\t32.0\\t0\\t0\\t350403\\t7.5792\\t\\tS\\n',\n",
       "  '1234\\t3\\tSage, Mr. John George\\tmale\\t\\t1\\t9\\tCA. 2343\\t69.55\\t\\tS\\n',\n",
       "  '1235\\t1\\tCardeza, Mrs. James Warburton Martinez (Charlotte Wardle Drake)\\tfemale\\t58.0\\t0\\t1\\tPC 17755\\t512.3292\\tB51 B53 B55\\tC\\n',\n",
       "  '1236\\t3\\tvan Billiard, Master. James William\\tmale\\t\\t1\\t1\\tA/5. 851\\t14.5\\t\\tS\\n',\n",
       "  '1237\\t3\\tAbelseth, Miss. Karen Marie\\tfemale\\t16.0\\t0\\t0\\t348125\\t7.65\\t\\tS\\n',\n",
       "  '1238\\t2\\tBotsford, Mr. William Hull\\tmale\\t26.0\\t0\\t0\\t237670\\t13.0\\t\\tS\\n',\n",
       "  '1239\\t3\\tWhabee, Mrs. George Joseph (Shawneene Abi-Saab)\\tfemale\\t38.0\\t0\\t0\\t2688\\t7.2292\\t\\tC\\n',\n",
       "  '1240\\t2\\tGiles, Mr. Ralph\\tmale\\t24.0\\t0\\t0\\t248726\\t13.5\\t\\tS\\n',\n",
       "  '1241\\t2\\tWalcroft, Miss. Nellie\\tfemale\\t31.0\\t0\\t0\\tF.C.C. 13528\\t21.0\\t\\tS\\n',\n",
       "  '1242\\t1\\tGreenfield, Mrs. Leo David (Blanche Strouse)\\tfemale\\t45.0\\t0\\t1\\tPC 17759\\t63.3583\\tD10 D12\\tC\\n',\n",
       "  '1243\\t2\\tStokes, Mr. Philip Joseph\\tmale\\t25.0\\t0\\t0\\tF.C.C. 13540\\t10.5\\t\\tS\\n',\n",
       "  '1244\\t2\\tDibden, Mr. William\\tmale\\t18.0\\t0\\t0\\tS.O.C. 14879\\t73.5\\t\\tS\\n',\n",
       "  '1245\\t2\\tHerman, Mr. Samuel\\tmale\\t49.0\\t1\\t2\\t220845\\t65.0\\t\\tS\\n',\n",
       "  '1246\\t3\\t\"Dean, Miss. Elizabeth Gladys Millvina\"\"\"\"\"\\tfemale\\t0.17\\t1\\t2\\tC.A. 2315\\t20.575\\t\\tS\\n',\n",
       "  '1247\\t1\\tJulian, Mr. Henry Forbes\\tmale\\t50.0\\t0\\t0\\t113044\\t26.0\\tE60\\tS\\n',\n",
       "  '1248\\t1\\tBrown, Mrs. John Murray (Caroline Lane Lamson)\\tfemale\\t59.0\\t2\\t0\\t11769\\t51.4792\\tC101\\tS\\n',\n",
       "  '1249\\t3\\tLockyer, Mr. Edward\\tmale\\t\\t0\\t0\\t1222\\t7.8792\\t\\tS\\n',\n",
       "  \"1250\\t3\\tO'Keefe, Mr. Patrick\\tmale\\t\\t0\\t0\\t368402\\t7.75\\t\\tQ\\n\",\n",
       "  '1251\\t3\\tLindell, Mrs. Edvard Bengtsson (Elin Gerda Persson)\\tfemale\\t30.0\\t1\\t0\\t349910\\t15.55\\t\\tS\\n',\n",
       "  '1252\\t3\\tSage, Master. William Henry\\tmale\\t14.5\\t8\\t2\\tCA. 2343\\t69.55\\t\\tS\\n',\n",
       "  '1253\\t2\\tMallet, Mrs. Albert (Antoinette Magnin)\\tfemale\\t24.0\\t1\\t1\\tS.C./PARIS 2079\\t37.0042\\t\\tC\\n',\n",
       "  '1254\\t2\\tWare, Mrs. John James (Florence Louise Long)\\tfemale\\t31.0\\t0\\t0\\tCA 31352\\t21.0\\t\\tS\\n',\n",
       "  '1255\\t3\\tStrilic, Mr. Ivan\\tmale\\t27.0\\t0\\t0\\t315083\\t8.6625\\t\\tS\\n',\n",
       "  '1256\\t1\\tHarder, Mrs. George Achilles (Dorothy Annan)\\tfemale\\t25.0\\t1\\t0\\t11765\\t55.4417\\tE50\\tC\\n',\n",
       "  '1257\\t3\\tSage, Mrs. John (Annie Bullen)\\tfemale\\t\\t1\\t9\\tCA. 2343\\t69.55\\t\\tS\\n',\n",
       "  '1258\\t3\\tCaram, Mr. Joseph\\tmale\\t\\t1\\t0\\t2689\\t14.4583\\t\\tC\\n',\n",
       "  '1259\\t3\\t\"Riihivouri, Miss. Susanna Juhantytar Sanni\"\"\"\"\"\\tfemale\\t22.0\\t0\\t0\\t3101295\\t39.6875\\t\\tS\\n',\n",
       "  '1260\\t1\\tGibson, Mrs. Leonard (Pauline C Boeson)\\tfemale\\t45.0\\t0\\t1\\t112378\\t59.4\\t\\tC\\n',\n",
       "  '1261\\t2\\tPallas y Castello, Mr. Emilio\\tmale\\t29.0\\t0\\t0\\tSC/PARIS 2147\\t13.8583\\t\\tC\\n',\n",
       "  '1262\\t2\\tGiles, Mr. Edgar\\tmale\\t21.0\\t1\\t0\\t28133\\t11.5\\t\\tS\\n',\n",
       "  '1263\\t1\\tWilson, Miss. Helen Alice\\tfemale\\t31.0\\t0\\t0\\t16966\\t134.5\\tE39 E41\\tC\\n',\n",
       "  '1264\\t1\\tIsmay, Mr. Joseph Bruce\\tmale\\t49.0\\t0\\t0\\t112058\\t0.0\\tB52 B54 B56\\tS\\n',\n",
       "  '1265\\t2\\tHarbeck, Mr. William H\\tmale\\t44.0\\t0\\t0\\t248746\\t13.0\\t\\tS\\n',\n",
       "  '1266\\t1\\tDodge, Mrs. Washington (Ruth Vidaver)\\tfemale\\t54.0\\t1\\t1\\t33638\\t81.8583\\tA34\\tS\\n',\n",
       "  '1267\\t1\\tBowen, Miss. Grace Scott\\tfemale\\t45.0\\t0\\t0\\tPC 17608\\t262.375\\t\\tC\\n',\n",
       "  '1268\\t3\\tKink, Miss. Maria\\tfemale\\t22.0\\t2\\t0\\t315152\\t8.6625\\t\\tS\\n',\n",
       "  '1269\\t2\\t\"Cotterill, Mr. Henry Harry\"\"\"\"\"\\tmale\\t21.0\\t0\\t0\\t29107\\t11.5\\t\\tS\\n',\n",
       "  '1270\\t1\\tHipkins, Mr. William Edward\\tmale\\t55.0\\t0\\t0\\t680\\t50.0\\tC39\\tS\\n',\n",
       "  '1271\\t3\\tAsplund, Master. Carl Edgar\\tmale\\t5.0\\t4\\t2\\t347077\\t31.3875\\t\\tS\\n',\n",
       "  \"1272\\t3\\tO'Connor, Mr. Patrick\\tmale\\t\\t0\\t0\\t366713\\t7.75\\t\\tQ\\n\",\n",
       "  '1273\\t3\\tFoley, Mr. Joseph\\tmale\\t26.0\\t0\\t0\\t330910\\t7.8792\\t\\tQ\\n',\n",
       "  '1274\\t3\\tRisien, Mrs. Samuel (Emma)\\tfemale\\t\\t0\\t0\\t364498\\t14.5\\t\\tS\\n',\n",
       "  \"1275\\t3\\tMcNamee, Mrs. Neal (Eileen O'Leary)\\tfemale\\t19.0\\t1\\t0\\t376566\\t16.1\\t\\tS\\n\",\n",
       "  '1276\\t2\\t\"Wheeler, Mr. Edwin Frederick\"\"\"\"\"\\tmale\\t\\t0\\t0\\tSC/PARIS 2159\\t12.875\\t\\tS\\n',\n",
       "  '1277\\t2\\tHerman, Miss. Kate\\tfemale\\t24.0\\t1\\t2\\t220845\\t65.0\\t\\tS\\n',\n",
       "  '1278\\t3\\tAronsson, Mr. Ernst Axel Algot\\tmale\\t24.0\\t0\\t0\\t349911\\t7.775\\t\\tS\\n',\n",
       "  '1279\\t2\\tAshby, Mr. John\\tmale\\t57.0\\t0\\t0\\t244346\\t13.0\\t\\tS\\n',\n",
       "  '1280\\t3\\tCanavan, Mr. Patrick\\tmale\\t21.0\\t0\\t0\\t364858\\t7.75\\t\\tQ\\n',\n",
       "  '1281\\t3\\tPalsson, Master. Paul Folke\\tmale\\t6.0\\t3\\t1\\t349909\\t21.075\\t\\tS\\n',\n",
       "  '1282\\t1\\tPayne, Mr. Vivian Ponsonby\\tmale\\t23.0\\t0\\t0\\t12749\\t93.5\\tB24\\tS\\n',\n",
       "  '1283\\t1\\tLines, Mrs. Ernest H (Elizabeth Lindsey James)\\tfemale\\t51.0\\t0\\t1\\tPC 17592\\t39.4\\tD28\\tS\\n',\n",
       "  '1284\\t3\\tAbbott, Master. Eugene Joseph\\tmale\\t13.0\\t0\\t2\\tC.A. 2673\\t20.25\\t\\tS\\n',\n",
       "  '1285\\t2\\tGilbert, Mr. William\\tmale\\t47.0\\t0\\t0\\tC.A. 30769\\t10.5\\t\\tS\\n',\n",
       "  '1286\\t3\\tKink-Heilmann, Mr. Anton\\tmale\\t29.0\\t3\\t1\\t315153\\t22.025\\t\\tS\\n',\n",
       "  '1287\\t1\\tSmith, Mrs. Lucien Philip (Mary Eloise Hughes)\\tfemale\\t18.0\\t1\\t0\\t13695\\t60.0\\tC31\\tS\\n',\n",
       "  '1288\\t3\\tColbert, Mr. Patrick\\tmale\\t24.0\\t0\\t0\\t371109\\t7.25\\t\\tQ\\n',\n",
       "  '1289\\t1\\tFrolicher-Stehli, Mrs. Maxmillian (Margaretha Emerentia Stehli)\\tfemale\\t48.0\\t1\\t1\\t13567\\t79.2\\tB41\\tC\\n',\n",
       "  '1290\\t3\\tLarsson-Rondberg, Mr. Edvard A\\tmale\\t22.0\\t0\\t0\\t347065\\t7.775\\t\\tS\\n',\n",
       "  '1291\\t3\\tConlon, Mr. Thomas Henry\\tmale\\t31.0\\t0\\t0\\t21332\\t7.7333\\t\\tQ\\n',\n",
       "  '1292\\t1\\tBonnell, Miss. Caroline\\tfemale\\t30.0\\t0\\t0\\t36928\\t164.8667\\tC7\\tS\\n',\n",
       "  '1293\\t2\\tGale, Mr. Harry\\tmale\\t38.0\\t1\\t0\\t28664\\t21.0\\t\\tS\\n',\n",
       "  '1294\\t1\\tGibson, Miss. Dorothy Winifred\\tfemale\\t22.0\\t0\\t1\\t112378\\t59.4\\t\\tC\\n',\n",
       "  '1295\\t1\\tCarrau, Mr. Jose Pedro\\tmale\\t17.0\\t0\\t0\\t113059\\t47.1\\t\\tS\\n',\n",
       "  '1296\\t1\\tFrauenthal, Mr. Isaac Gerald\\tmale\\t43.0\\t1\\t0\\t17765\\t27.7208\\tD40\\tC\\n',\n",
       "  '1297\\t2\\t\"Nourney, Mr. Alfred (Baron von Drachstedt\"\")\"\"\"\\tmale\\t20.0\\t0\\t0\\tSC/PARIS 2166\\t13.8625\\tD38\\tC\\n',\n",
       "  '1298\\t2\\tWare, Mr. William Jeffery\\tmale\\t23.0\\t1\\t0\\t28666\\t10.5\\t\\tS\\n',\n",
       "  '1299\\t1\\tWidener, Mr. George Dunton\\tmale\\t50.0\\t1\\t1\\t113503\\t211.5\\tC80\\tC\\n',\n",
       "  '1300\\t3\\t\"Riordan, Miss. Johanna Hannah\"\"\"\"\"\\tfemale\\t\\t0\\t0\\t334915\\t7.7208\\t\\tQ\\n',\n",
       "  '1301\\t3\\tPeacock, Miss. Treasteall\\tfemale\\t3.0\\t1\\t1\\tSOTON/O.Q. 3101315\\t13.775\\t\\tS\\n',\n",
       "  '1302\\t3\\tNaughton, Miss. Hannah\\tfemale\\t\\t0\\t0\\t365237\\t7.75\\t\\tQ\\n',\n",
       "  '1303\\t1\\tMinahan, Mrs. William Edward (Lillian E Thorpe)\\tfemale\\t37.0\\t1\\t0\\t19928\\t90.0\\tC78\\tQ\\n',\n",
       "  '1304\\t3\\tHenriksson, Miss. Jenny Lovisa\\tfemale\\t28.0\\t0\\t0\\t347086\\t7.775\\t\\tS\\n',\n",
       "  '1305\\t3\\tSpector, Mr. Woolf\\tmale\\t\\t0\\t0\\tA.5. 3236\\t8.05\\t\\tS\\n',\n",
       "  '1306\\t1\\tOliva y Ocana, Dona. Fermina\\tfemale\\t39.0\\t0\\t0\\tPC 17758\\t108.9\\tC105\\tC\\n',\n",
       "  '1307\\t3\\tSaether, Mr. Simon Sivertsen\\tmale\\t38.5\\t0\\t0\\tSOTON/O.Q. 3101262\\t7.25\\t\\tS\\n',\n",
       "  '1308\\t3\\tWare, Mr. Frederick\\tmale\\t\\t0\\t0\\t359309\\t8.05\\t\\tS\\n',\n",
       "  '1309\\t3\\tPeter, Master. Michael J\\tmale\\t\\t1\\t1\\t2668\\t22.3583\\t\\tC\\n'],\n",
       " 'closed': False,\n",
       " 'len': 28107,\n",
       " 'pos': 28107,\n",
       " 'softspace': 0}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#http://stackoverflow.com/questions/38204064/turn-pandas-dataframe-into-a-file-like-object-in-memory\n",
    "from StringIO import StringIO\n",
    "# text buffer\n",
    "s_buf = StringIO()\n",
    "# saving a data frame to a buffer (same as with a regular file)\n",
    "test_data.to_csv(s_buf,header=False,index=False,sep='\\t')\n",
    "s_buf.__dict__\n",
    "#s_buf.getvalue()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28107"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s_buf.__dict__['pos']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#s_buf.seek(0) #In order to read from the buffer afterwards,\n",
    "#its position should be set to the beginning:\n",
    "s_buf.pos = 0 # Or s_buf.seek(0)\n",
    "cur=con_aws.cursor()\n",
    "cur.copy_from(s_buf,\"train_data_table\",null=\"\",sep='\\t')\n",
    "con_aws.commit()\n",
    "#con_aws.rollback() # To roll back to the previous state if this return as an error."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>passengerid</th>\n",
       "      <th>pclass</th>\n",
       "      <th>name</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>ticket</th>\n",
       "      <th>fare</th>\n",
       "      <th>cabin</th>\n",
       "      <th>embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>None</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>None</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>Moran, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330877</td>\n",
       "      <td>8.4583</td>\n",
       "      <td>None</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>McCarthy, Mr. Timothy J</td>\n",
       "      <td>male</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17463</td>\n",
       "      <td>51.8625</td>\n",
       "      <td>E46</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Master. Gosta Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>349909</td>\n",
       "      <td>21.0750</td>\n",
       "      <td>None</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   passengerid  pclass                            name   sex   age  sibsp  \\\n",
       "0            1       3         Braund, Mr. Owen Harris  male  22.0      1   \n",
       "1            5       3        Allen, Mr. William Henry  male  35.0      0   \n",
       "2            6       3                Moran, Mr. James  male   NaN      0   \n",
       "3            7       1         McCarthy, Mr. Timothy J  male  54.0      0   \n",
       "4            8       3  Palsson, Master. Gosta Leonard  male   2.0      3   \n",
       "\n",
       "   parch     ticket     fare cabin embarked  \n",
       "0      0  A/5 21171   7.2500  None        S  \n",
       "1      0     373450   8.0500  None        S  \n",
       "2      0     330877   8.4583  None        Q  \n",
       "3      0      17463  51.8625   E46        S  \n",
       "4      1     349909  21.0750  None        S  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql_query_command=\"\"\" SELECT * FROM train_data_table Where sex ='male'\"\"\"\n",
    "Survived_data1=pd.read_sql_query(sql_query_command,con_aws) \n",
    "Survived_data1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Survived_data1.shape = (843, 11)\n",
      "Survived_data0.shape = (314, 11)\n"
     ]
    }
   ],
   "source": [
    "print(\"Survived_data1.shape = %s\" % (Survived_data1.shape,))\n",
    "print(\"Survived_data0.shape = %s\" % (Survived_data0.shape,))"
   ]
  }
 ],
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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