LIDC data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "%pylab inline\n",
    "from xml.etree import ElementTree as ET\n",
    "import os\n",
    "import SimpleITK as sitk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "duplicate nodule id 1.3.6.1.4.1.14519.5.2.1.6279.6001.137375498893536422914241295628 nodule 002\n",
      "duplicate nodule id 1.3.6.1.4.1.14519.5.2.1.6279.6001.137375498893536422914241295628 0\n"
     ]
    }
   ],
   "source": [
    "def convert_loc_to_ix(coords, origin, spacing):\n",
    "    return np.absolute(coords - origin) / spacing\n",
    "\n",
    "df_meta=  pd.read_csv(r'E:\\lung\\luna_metadata.csv')\n",
    "dfann = pd.read_csv(r'E:\\lung\\LUNA\\CSVFILES\\annotations.csv')\n",
    "dfann = pd.merge(left=dfann, right=df_meta, how='left', on='seriesuid')\n",
    "dfann['Xnpy'] = dfann.apply(lambda x: convert_loc_to_ix(x['coordX'],x['Xorig'],x['Xspac']),1)\n",
    "dfann['Ynpy'] = dfann.apply(lambda x: convert_loc_to_ix(x['coordY'],x['Yorig'],x['Yspac']),1)\n",
    "dfann['Znpy'] = dfann.apply(lambda x: convert_loc_to_ix(x['coordZ'],x['Zorig'],x['Zspac']),1)\n",
    "\n",
    "df_list = pd.read_csv(r\"C:\\Users\\Daniel\\Downloads\\list3.2.csv\")\n",
    "\n",
    "def get_nodule_aliases(row):\n",
    "    s = set([row['nodIDs'], row['Unnamed: 10'], row['Unnamed: 11'], row['Unnamed: 12'], row['Unnamed: 13'], row['Unnamed: 14'],\n",
    "           row['Unnamed: 15']])\n",
    "    if np.nan in s: \n",
    "        s.remove(np.nan)\n",
    "    return s\n",
    "\n",
    "df_list['aliases'] = df_list.apply(get_nodule_aliases, 1)\n",
    "df_list.drop(['Unnamed: 8', 'nodIDs', 'Unnamed: 10', 'Unnamed: 11', 'Unnamed: 12', 'Unnamed: 13', 'Unnamed: 14', 'Unnamed: 15'],inplace=True,axis=1)\n",
    "\n",
    "dfresults = pd.read_csv(r\"E:\\lung\\LIDC\\results.csv\")\n",
    "dfresults['patient_id'] = dfresults['paths'].apply(lambda path: os.path.split(os.path.dirname(os.path.dirname(os.path.dirname(path))))[1])\n",
    "dfresults['patient_id'] = dfresults['patient_id'].apply(lambda x: x.split('-')[2])\n",
    "\n",
    "#dfresults['series_uid'] = dfresults['xmls'].apply(get_uid)\n",
    "dfresults['series_uid'] = dfresults['paths'].apply(lambda path: os.path.split(os.path.dirname(path))[1])\n",
    "\n",
    "def get_nodule_infos(xml, seriesuid):\n",
    "    \n",
    "    tree = ET.fromstring(xml.lower())\n",
    "    sessions = tree.findall('{http://www.nih.gov}readingsession')\n",
    "    nodule_data = {}\n",
    "    for session in sessions:\n",
    "        for nodule in session.findall('{http://www.nih.gov}unblindedreadnodule'):\n",
    "            assert len(nodule.findall('{http://www.nih.gov}noduleid')) == 1, 'multiple ids per nodule ' + seriesuid\n",
    "            nod_id = nodule.find('{http://www.nih.gov}noduleid').text\n",
    "            if nod_id in nodule_data:\n",
    "                #there is an ambiguous nodule\n",
    "                #just pick one...\n",
    "                subdata = nodule_data[nod_id]\n",
    "                print 'duplicate nodule id', seriesuid, nod_id\n",
    "                \n",
    "            #assert nod_id not in nodule_data, 'duplicate node ids ' + seriesuid + ' ' + nod_id\n",
    "            chars = nodule.findall('{http://www.nih.gov}characteristics')\n",
    "            assert len(chars) <= 1, 'multiple chars per nodule ' + seriesuid\n",
    "            if len(chars) == 0:\n",
    "                continue\n",
    "            chars = chars[0]\n",
    "            subdata = {}\n",
    "\n",
    "            for c in chars:\n",
    "                subdata[c.tag.replace('{http://www.nih.gov}','')] = c.text\n",
    "            nodule_data[nod_id] = subdata\n",
    "    return nodule_data\n",
    "\n",
    "dfresults['nodule_infos_parsed'] =dfresults.apply(lambda x: get_nodule_infos(x['xmls'], x['series_uid']),1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def combine_metadatas(data):\n",
    "    assert type(data) == list\n",
    "    assert len(data) > 0\n",
    "    assert type(data[0]) == dict\n",
    "    subtletys = [int(d['subtlety']) for d in data]\n",
    "    istructures = [int(d['internalstructure']) for d in data]\n",
    "    calcifs = [int(d['calcification']) for d in data]\n",
    "    sphericitys = [int(d['sphericity']) for d in data]\n",
    "    margins = [int(d['margin']) for d in data]\n",
    "    lobulations = [int(d['lobulation']) for d in data]\n",
    "    spiculations = [int(d['spiculation']) for d in data]\n",
    "    textures = [int(d['texture']) for d in data]\n",
    "    malignancys = [int(d['malignancy']) for d in data]\n",
    "    \n",
    "    #numerics get an average\n",
    "    subtlety = np.mean(subtletys) #average, it's numeric\n",
    "    margin = np.mean(margins) #numeric\n",
    "    lobulation = np.mean(lobulations)\n",
    "    spiculation = np.mean(spiculations)\n",
    "    malignancy = np.mean(malignancys)\n",
    "    \n",
    "    #categories get a percentage\n",
    "    internal_structure = np.zeros(4)\n",
    "    for i in istructures:\n",
    "        internal_structure[i-1] += 1.0\n",
    "    internal_structure /= internal_structure.sum()\n",
    "    \n",
    "    calcification = np.zeros(6)\n",
    "    for i in calcifs:\n",
    "        calcification[i-1] += 1.0\n",
    "    calcification /= calcification.sum()\n",
    "    \n",
    "    sphericity = np.zeros(3)\n",
    "    for i in sphericitys:\n",
    "        sphericity[(i-1) / 2] += 1.0\n",
    "    sphericity /= sphericity.sum()\n",
    "    \n",
    "    texture = np.zeros(3)\n",
    "    for i in textures:\n",
    "        texture[(i-1) / 2] += 1.0\n",
    "    texture /= texture.sum()\n",
    "    \n",
    "    return [subtlety, internal_structure, calcification, sphericity, margin, lobulation, spiculation, texture, malignancy]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dfann['characteristics'] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def get_nodule_metadata(uid, dfann, dfxml, dflist):\n",
    "    #there are 13 duplicated uids in the dfxml\n",
    "    #there are a lot in the annotation data.\n",
    "    #we need to match each annotation to a metadata if possible\n",
    "    DISTANCE_THRESHOLD=6\n",
    "    DIAM_THRESHOLD = .15 #relative\n",
    "    \n",
    "    annotations = dfann[dfann['seriesuid'] == uid]\n",
    "    #annotations['nodule_characteristics'] = []\n",
    "    nodule_details = dfxml[dfxml['series_uid'] == uid]\n",
    "    #the XML dataset has the mapping from uid to patient number. this we'll need\n",
    "    patient_no = nodule_details['patient_id'].values[0]\n",
    "    print 'patient num', patient_no\n",
    "    #df list is indexed by patient number\n",
    "    list_entries = dflist[dflist['case'] == int(patient_no)]\n",
    "    #now let's go through each annotation and find the nearest nodule in the list entries\n",
    "    mapped_results = []\n",
    "    for i in range(annotations.shape[0]):\n",
    "        row = annotations.iloc[i]\n",
    "        \n",
    "        ann_loc = np.array([row['Xnpy'], row['Ynpy']])\n",
    "        ann_diam = row['diameter_mm']\n",
    "        #print 'ann loc', ann_loc\n",
    "        dists = []\n",
    "        all_aliases = []\n",
    "        size_diffs = []\n",
    "        for _,list_entry in list_entries.iterrows():\n",
    "            entry_loc = np.array([list_entry['x loc.'], list_entry['y loc.']])\n",
    "            #print 'entry_loc', entry_loc\n",
    "            dists.append( np.sum(abs(ann_loc - entry_loc)) )\n",
    "            all_aliases.append(list_entry['aliases'])\n",
    "            size_diffs.append( abs(1 - (list_entry['eq. diam.'] / ann_diam)) )\n",
    "            #print 'dist', dists[-1], 'size diff', size_diffs[-1]\n",
    "        #find closest\n",
    "        if len(dists) == 0:\n",
    "            #missing data.\n",
    "            print 'missing list data for', patient_no\n",
    "            mapped_results.append([])\n",
    "            continue\n",
    "        min_ix = np.argmin(dists)\n",
    "        #if less than threshold, assume match\n",
    "        if dists[min_ix] < DISTANCE_THRESHOLD and size_diffs[min_ix] < DIAM_THRESHOLD:\n",
    "            #we did it.\n",
    "            #now that we know the nodule aliases, go get them from the xml\n",
    "            aliases = set( a.lower() for a in all_aliases[min_ix])\n",
    "            print 'dist xy', dists[min_ix], 'sizedelta', size_diffs[min_ix], 'aliases', aliases\n",
    "            #now look up each of these in the xml\n",
    "            characteristics = []\n",
    "            for _,xmlrow  in nodule_details.iterrows():\n",
    "                parsed = xmlrow['nodule_infos_parsed']\n",
    "                #print 'parsed', parsed\n",
    "                for node_id, node_chars in parsed.iteritems():\n",
    "                    if node_id in aliases:\n",
    "                        #print 'adding node id', node_id\n",
    "                        characteristics.append(node_chars)\n",
    "                    #else:\n",
    "                        #print 'not adding node id', node_id\n",
    "                        \n",
    "            aggregate_characteristics = combine_metadatas(characteristics)\n",
    "            #print 'agg metadata', aggregate_characteristics\n",
    "            #annotations.iloc[i, 'nodule_characteristics'] = aggregate_characteristics\n",
    "            mapped_results.append(aggregate_characteristics)\n",
    "        else:\n",
    "            print 'unable to map annotation','dist xy', dists[min_ix], 'sizedelta', size_diffs[min_ix]\n",
    "            mapped_results.append([])\n",
    "            \n",
    "    assert len(mapped_results) == annotations.shape[0]\n",
    "    annotations['characteristics'] = mapped_results\n",
    "    return annotations\n",
    "    #return mapped_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patient num 1001\n",
      "dist xy 0.477500741818 sizedelta 0.00292479003565 aliases set(['0', '2141', '22127', 'nodule 001'])\n",
      "dist xy 0.571064707879 sizedelta 0.0436223043149 aliases set(['nodule 003', '22134', '2148'])\n",
      "patient num 0813\n",
      "dist xy 0.533765024 sizedelta 0.0372691364107 aliases set(['mi014_8002', '3', 'nodule 003'])\n",
      "patient num 1002\n",
      "dist xy 0.551611850105 sizedelta 0.0226860346863 aliases set(['0', '1632', 'nodule 004', '5158'])\n",
      "dist xy 0.253869869811 sizedelta 0.00759497929258 aliases set(['5162', '2', 'nodule 003', '1636'])\n",
      "dist xy 0.33114825207 sizedelta 0.00946970120929 aliases set(['1645', '5171', 'nodule 002', '4'])\n",
      "dist xy 0.664318625684 sizedelta 0.00172613595332 aliases set(['1653', '3', '5175', 'nodule 001'])\n",
      "patient num 0182\n",
      "dist xy 0.797318172444 sizedelta 0.0572575281996 aliases set(['0', '162753', '160393', 'nodule 002'])\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:68: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patient num 0187\n",
      "dist xy 0.228861137455 sizedelta 0.012499923997 aliases set(['0', '162958', 'nodule 003', '160495'])\n",
      "patient num 0766\n",
      "dist xy 0.634351043765 sizedelta 0.0183593323251 aliases set(['0', '10717', 'nodule 001', '87247'])\n",
      "patient num 0114\n",
      "dist xy 0.698775948501 sizedelta 0.00797736591022 aliases set(['mi014_17687', '5', 'il057_167386', 'nodule 001'])\n",
      "patient num 0236\n",
      "dist xy 0.859837304 sizedelta 0.0278358387443 aliases set(['0', '184217', '171373', 'nodule 001'])\n",
      "patient num 0278\n",
      "dist xy 0.364998848 sizedelta 0.00183445543621 aliases set(['1', '171380', '168097', 'nodule 002'])\n",
      "dist xy 0.6244587136 sizedelta 0.00713556723141 aliases set(['171383', 'nodule 004', '168098'])\n",
      "patient num 0184\n",
      "dist xy 0.4453500032 sizedelta 0.015573910161 aliases set(['1', '160663', '163136', 'nodule 002'])\n",
      "patient num 0965\n",
      "dist xy 1.12139580632 sizedelta 0.00580084262026 aliases set(['5230', '0', 'nodule 001', '1574'])\n",
      "patient num 0890\n",
      "dist xy 0.522807388262 sizedelta 0.00666972213596 aliases set(['il057_195816', '5811', '81146', 'nodule 001'])\n",
      "patient num 0481\n",
      "dist xy 0.318254905806 sizedelta 0.0185675575282 aliases set(['nodule 013', '2', 'il057_166364', 'mi014_14052'])\n",
      "dist xy 0.222949987097 sizedelta 0.0179386134723 aliases set(['mi014_14051', '0', 'nodule 009'])\n",
      "dist xy 0.418710874839 sizedelta 0.00912385608077 aliases set(['5', 'il057_166482', 'nodule 008'])\n",
      "dist xy 0.228451856516 sizedelta 0.0272884435213 aliases set(['nodule 007', '8', 'mi014_14000', 'il057_166349'])\n",
      "dist xy 0.432856691613 sizedelta 0.022875859119 aliases set(['9', 'mi014_14003', 'il057_166483', 'nodule 006'])\n",
      "dist xy 0.221712796903 sizedelta 0.0234324180042 aliases set(['10', 'nodule 004', 'mi014_14010'])\n",
      "patient num 0122\n",
      "dist xy 0.768119665315 sizedelta 0.0842864379503 aliases set(['mi014_14696', 'il057_196978', 'nodule 001', '0'])\n",
      "patient num 0017\n",
      "dist xy 0.55772119142 sizedelta 0.00622465071549 aliases set(['0', 'nodule 001', 'il057_130635', 'mi014_18053'])\n",
      "patient num 0447\n",
      "dist xy 0.682604620475 sizedelta 0.00143208774638 aliases set(['4384', '81210', 'nodule 001', 'il057_195860'])\n",
      "dist xy 0.522646006906 sizedelta 0.0893810467693 aliases set(['il057_196382', '81219', '4409'])\n",
      "patient num 0606\n",
      "dist xy 0.624478054585 sizedelta 0.00582778795915 aliases set(['39625', '9608', '59325', '0'])\n",
      "patient num 0684\n",
      "dist xy 0.679587318801 sizedelta 0.00846297579347 aliases set(['33762', 'nodule 001', '59871'])\n",
      "patient num 0305\n",
      "dist xy 0.74562576 sizedelta 0.00396008978694 aliases set(['il057_166171', '71288', 'nodule 003', '2732'])\n",
      "dist xy 0.480267024 sizedelta 0.100267522818 aliases set(['71297', 'il057_166418', '2742'])\n",
      "patient num 0341\n",
      "dist xy 0.32853318571 sizedelta 0.0250995903878 aliases set(['54263', 'nodule 003', 'il057_157084', '7378'])\n",
      "dist xy 0.640615385809 sizedelta 0.00324529256335 aliases set(['nodule 007', '54270', 'il057_157088', '7385'])\n",
      "dist xy 0.414493083104 sizedelta 0.00528925484209 aliases set(['54260', '7375', 'il057_157078', 'nodule 008'])\n",
      "patient num 0772\n",
      "dist xy 0.4786212992 sizedelta 0.00678179954747 aliases set(['0', '160607', '163074'])\n",
      "dist xy 0.4951120128 sizedelta 0.0146837852096 aliases set(['1', '160612', '163079', 'nodule 001'])\n",
      "patient num 0124\n",
      "dist xy 0.3512622592 sizedelta 0.000142867667063 aliases set(['115269', '135005', '6'])\n",
      "dist xy 0.62652032 sizedelta 0.0443638164461 aliases set(['11', '135013', 'nodule 004', '116478'])\n",
      "dist xy 0.3867286784 sizedelta 0.00262951205838 aliases set(['19', 'nodule 025', '135002', '115266'])\n",
      "dist xy 0.6841132672 sizedelta 0.0059333420688 aliases set(['135031', '115293', '21'])\n",
      "dist xy 0.534086272 sizedelta 0.00942037283505 aliases set(['24', '115281', '135017'])\n",
      "dist xy 0.5135653888 sizedelta 0.0361403746909 aliases set(['135009', '25', '115273'])\n",
      "dist xy 0.6580832128 sizedelta 0.0674200865453 aliases set(['116515', '135021', '26'])\n",
      "dist xy 0.5485239808 sizedelta 0.00454448091983 aliases set(['115262', '30', 'nodule 002', '135000'])\n",
      "patient num 0088\n",
      "dist xy 0.727103179487 sizedelta 0.0550145321645 aliases set(['162992', '167714', 'nodule 002'])\n",
      "dist xy 0.374115577436 sizedelta 0.0199980658614 aliases set(['167712', '163019', 'nodule 003', '4'])\n",
      "dist xy 0.825350006154 sizedelta 0.0124038928377 aliases set(['178025', '163072', 'nodule 001'])\n",
      "patient num 0828\n",
      "dist xy 0.30751544 sizedelta 0.0166596781612 aliases set(['nodule 001', 'il057_69738', '4859', '6246'])\n",
      "patient num 0722\n",
      "dist xy 0.564311722667 sizedelta 0.0190674051333 aliases set(['nodule 003', '13181', '29569'])\n",
      "dist xy 0.3390090752 sizedelta 0.0388485097792 aliases set(['13171', '29574', 'nodule 002'])\n",
      "dist xy 0.388745097956 sizedelta 0.0464235879443 aliases set(['29567', 'nodule 001', '13194'])\n",
      "patient num 0485\n",
      "dist xy 0.920864912169 sizedelta 0.0232589177421 aliases set(['11', 'nodule 004', 'mi014_17653', 'il057_167352'])\n",
      "dist xy 0.985179442746 sizedelta 0.0172735721407 aliases set(['il057_167355', 'mi014_17655', 'nodule 002'])\n",
      "dist xy 0.737261830892 sizedelta 0.0314103140355 aliases set(['il057_167358', '4', 'nodule 001', 'mi014_17662'])\n",
      "patient num 0810\n",
      "dist xy 0.254980670796 sizedelta 0.000864244712945 aliases set(['9601', '3', '14498', 'nodule 001'])\n",
      "dist xy 0.911920782881 sizedelta 0.00879500398549 aliases set(['0', '9597', 'nodule 002', '14494'])\n",
      "patient num 0874\n",
      "dist xy 0.578319233482 sizedelta 0.0246263156704 aliases set(['nodule 007', '8', '159539', '142116'])\n",
      "patient num 0912\n",
      "dist xy 0.439901214118 sizedelta 0.0245695460891 aliases set(['56608', '4', '14701', 'nodule 002'])\n",
      "dist xy 0.239286555106 sizedelta 0.00387337448886 aliases set(['nodule 006', '5', '15103', '56610'])\n",
      "dist xy 0.651383506823 sizedelta 0.0171735930476 aliases set(['6', 'nodule 004', '56605', '14700'])\n",
      "dist xy 0.747932521412 sizedelta 0.0129250920332 aliases set(['56600', 'nodule 005', '14699', '7'])\n",
      "dist xy 0.571290684235 sizedelta 0.0150919207513 aliases set(['nodule 007', '8', '56612'])\n",
      "patient num 0973\n",
      "dist xy 0.661521820445 sizedelta 0.0136635527371 aliases set(['nodule 004', '13468', '1471'])\n",
      "dist xy 0.602235164444 sizedelta 0.00340421168407 aliases set(['13457', 'nodule 003', '1460'])\n",
      "dist xy 0.756674986667 sizedelta 0.0387664339417 aliases set(['1464', '13461', 'nodule 002'])\n",
      "patient num 0673\n",
      "dist xy 0.460683872884 sizedelta 0.000978007325092 aliases set(['74275', '3', 'nodule 003', '70710'])\n",
      "dist xy 0.57154132314 sizedelta 0.00683077948444 aliases set(['70707', '74272', 'nodule 004', '4'])\n",
      "patient num 0951\n",
      "dist xy 0.366932422379 sizedelta 0.0203899726084 aliases set(['0', '13942', '60335', 'nodule 002'])\n",
      "patient num 0743\n",
      "dist xy 0.223541168 sizedelta 0.0237308865761 aliases set(['22180', 'nodule 003', '1765'])\n",
      "patient num 0376\n",
      "dist xy 0.361662577778 sizedelta 0.00699918793239 aliases set(['1', '60019', 'nodule 001', '52351'])\n",
      "patient num 0350\n",
      "dist xy 0.250251399975 sizedelta 0.0204783418063 aliases set(['4989', '6363', 'il057_69833', 'nodule 002'])\n",
      "patient num 0829\n",
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      "dist xy 0.4612739712 sizedelta 0.0135342873381 aliases set(['0', '161388', 'nodule 001', '163300'])\n",
      "patient num 0353\n",
      "dist xy 0.0996691626667 sizedelta 0.0112383369774 aliases set(['869', 'il057_196271', 'nodule 002', '3668'])\n",
      "dist xy 0.513087786667 sizedelta 0.0438840108418 aliases set(['nodule 001', 'il057_196266', '3663'])\n",
      "dist xy 0.300750563556 sizedelta 0.0631151335059 aliases set(['4656', '873', 'il057_201251'])\n",
      "patient num 0045\n",
      "dist xy 0.308276656954 sizedelta 0.00543756465621 aliases set(['nodule 007', '0', 'mi014_17559', 'il057_123027'])\n",
      "dist xy 0.861018333843 sizedelta 0.0288270607591 aliases set(['nodule 006', 'mi014_17549', 'il057_128062'])\n",
      "dist xy 0.974995885889 sizedelta 0.00990226352654 aliases set(['mi014_17568', '25', 'nodule 018', 'il057_123034'])\n",
      "dist xy 0.564566400791 sizedelta 0.00342232112612 aliases set(['il057_123039', 'mi014_17571', 'nodule 004', '21'])\n",
      "dist xy 0.40817929108 sizedelta 0.00550909424715 aliases set(['il057_123012', 'nodule 001', '22', 'mi014_17544'])\n",
      "dist xy 0.974794494577 sizedelta 0.00380882527641 aliases set(['24', 'mi014_17556', 'nodule 003', 'il057_123021'])\n",
      "dist xy 0.868468316133 sizedelta 0.0028455581863 aliases set(['il057_123019', 'mi014_17551', 'nodule 002', '23'])\n",
      "patient num 0644\n",
      "dist xy 0.901980757766 sizedelta 0.0386964321837 aliases set(['0', '12650', '54694', 'nodule 001'])\n",
      "patient num 0462\n",
      "dist xy 0.624628494222 sizedelta 0.0143905306475 aliases set(['1', '50177', '55664', 'nodule 002'])\n",
      "dist xy 0.101986759111 sizedelta 0.000112895417512 aliases set(['55666', '72295', '4', 'nodule 001'])\n",
      "patient num 0099\n",
      "dist xy 0.7968006528 sizedelta 0.00731807010036 aliases set(['il057_168447', 'nodule 004', '7'])\n",
      "dist xy 0.1394195968 sizedelta 0.00704202087328 aliases set(['il057_168444', '4', 'nodule 001', 'mi014_13958'])\n",
      "patient num 0169\n",
      "dist xy 0.200511856 sizedelta 0.0192044837793 aliases set(['1', '212463', '209783', 'nodule 001'])\n",
      "dist xy 0.623253888 sizedelta 0.0134842655456 aliases set(['212465', '2', '209803', 'nodule 002'])\n",
      "patient num 0598\n",
      "dist xy 0.262572704914 sizedelta 0.0294553231654 aliases set(['0', '1480', 'nodule 002', '13414'])\n",
      "patient num 0697\n",
      "dist xy 0.392964217546 sizedelta 0.0203180699978 aliases set(['il057_195853', '4378', '81239', 'nodule 001'])\n",
      "patient num 0246\n",
      "dist xy 0.810054144 sizedelta 0.0465128663809 aliases set(['1', '174067', 'nodule 001', '172317'])\n",
      "patient num 0734\n",
      "dist xy 0.795631567018 sizedelta 0.0185010283935 aliases set(['0', '15522', '11743', 'nodule 001'])\n",
      "patient num 0170\n",
      "dist xy 0.628878501471 sizedelta 0.00621470456469 aliases set(['160627', '0', '163092', 'nodule 002'])\n",
      "dist xy 0.0732952015084 sizedelta 0.00987272735203 aliases set(['160632', 'nodule 001', '163096'])\n",
      "patient num 0403\n",
      "dist xy 0.784973505512 sizedelta 0.0114185874752 aliases set(['0', '80872', '85422', '15596'])\n",
      "patient num 0583\n",
      "dist xy 0.211587405505 sizedelta 0.0072394629741 aliases set(['0', 'nodule 003', '66119'])\n",
      "dist xy 0.717737554985 sizedelta 0.0373993055824 aliases set(['66114', '14682', 'nodule 001'])\n",
      "dist xy 0.444544258349 sizedelta 0.0162195557297 aliases set(['nodule 007', '34', '14680', '66107'])\n",
      "dist xy 0.248321847584 sizedelta 0.00924927986202 aliases set(['14681', 'nodule 002', '66111', '36'])\n",
      "dist xy 0.865811689297 sizedelta 0.0942745382367 aliases set(['19', 'nodule 005', '14683'])\n",
      "patient num 0498\n",
      "dist xy 0.5360797184 sizedelta 0.0758677198033 aliases set(['74594', '79336', 'nodule 001'])\n",
      "patient num 0671\n",
      "dist xy 1.12022330012 sizedelta 0.0177940335805 aliases set(['54136', '7306', 'nodule 002', 'il057_157566'])\n",
      "dist xy 0.655740852519 sizedelta 0.000653343410118 aliases set(['7303', 'il057_157563', 'nodule 003', '54132'])\n",
      "dist xy 0.990632531141 sizedelta 0.00358349477496 aliases set(['54140', '7309', 'nodule 001', 'il057_157572'])\n",
      "dist xy 0.783178134271 sizedelta 0.0053125424832 aliases set(['54762', '7316', 'il057_160790'])\n",
      "patient num 0542\n",
      "dist xy 0.422479323429 sizedelta 0.00579109091084 aliases set(['74299', '2', 'nodule 002'])\n",
      "patient num 0137\n",
      "dist xy 3.3941880576 sizedelta 0.0216044446501 aliases set(['0', '126768', '114122'])\n",
      "dist xy 0.40554115584 sizedelta 0.0248075205172 aliases set(['126773', 'nodule 003', '2', '114127', 'nodule 002'])\n",
      "patient num 0131\n",
      "dist xy 0.324329144889 sizedelta 0.0227991510818 aliases set(['4', 'nodule 001', 'il057_196960'])\n",
      "patient num 0480\n",
      "dist xy 1.11567931192 sizedelta 0.0249506953351 aliases set(['0', 'nodule 003', '25373', '37568'])\n",
      "patient num 0473\n",
      "dist xy 0.560879520026 sizedelta 0.0109436816311 aliases set(['201', 'nodule 005', 'il057_131654', '5428'])\n",
      "dist xy 0.186188283636 sizedelta 0.0146833994098 aliases set(['nodule 003', '5431', 'il057_85663', '205'])\n",
      "dist xy 0.113433752312 sizedelta 0.023263607222 aliases set(['nodule 010', '208', 'il057_85664'])\n",
      "patient num 0493\n",
      "dist xy 0.674873387739 sizedelta 0.0450755977165 aliases set(['57124', '44275', 'nodule 001'])\n",
      "dist xy 1.2360277237 sizedelta 0.0152538871708 aliases set(['1', '56984', '44269'])\n"
     ]
    }
   ],
   "source": [
    "dfsubs = []\n",
    "for uid in dfann['seriesuid'].unique():\n",
    "    dfsubs.append(get_nodule_metadata(uid,\n",
    "                   dfann, dfresults, df_list))\n",
    "    \n",
    "dfann_mapped = pd.concat(dfsubs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>seriesuid</th>\n",
       "      <th>coordX</th>\n",
       "      <th>coordY</th>\n",
       "      <th>coordZ</th>\n",
       "      <th>diameter_mm</th>\n",
       "      <th>Xorig</th>\n",
       "      <th>Yorig</th>\n",
       "      <th>Zorig</th>\n",
       "      <th>Xspac</th>\n",
       "      <th>Yspac</th>\n",
       "      <th>Zspac</th>\n",
       "      <th>Xnpy</th>\n",
       "      <th>Ynpy</th>\n",
       "      <th>Znpy</th>\n",
       "      <th>characteristics</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100398138793...</td>\n",
       "      <td>69.639017</td>\n",
       "      <td>-140.944586</td>\n",
       "      <td>876.374496</td>\n",
       "      <td>5.786348</td>\n",
       "      <td>-170.687500</td>\n",
       "      <td>-309.687500</td>\n",
       "      <td>716.7</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>1.8</td>\n",
       "      <td>384.522428</td>\n",
       "      <td>269.988663</td>\n",
       "      <td>88.708056</td>\n",
       "      <td>[3.33333333333, [1.0, 0.0, 0.0, 0.0], [0.0, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...</td>\n",
       "      <td>-24.013824</td>\n",
       "      <td>192.102405</td>\n",
       "      <td>-391.081276</td>\n",
       "      <td>8.143262</td>\n",
       "      <td>-120.049467</td>\n",
       "      <td>9.480416</td>\n",
       "      <td>-657.0</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>1.0</td>\n",
       "      <td>172.527190</td>\n",
       "      <td>328.078802</td>\n",
       "      <td>265.918724</td>\n",
       "      <td>[4.5, [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...</td>\n",
       "      <td>2.441547</td>\n",
       "      <td>172.464881</td>\n",
       "      <td>-405.493732</td>\n",
       "      <td>18.545150</td>\n",
       "      <td>-120.049467</td>\n",
       "      <td>9.480416</td>\n",
       "      <td>-657.0</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>1.0</td>\n",
       "      <td>220.054032</td>\n",
       "      <td>292.800162</td>\n",
       "      <td>251.506268</td>\n",
       "      <td>[5.0, [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...</td>\n",
       "      <td>90.931713</td>\n",
       "      <td>149.027266</td>\n",
       "      <td>-426.544715</td>\n",
       "      <td>18.208570</td>\n",
       "      <td>-120.049467</td>\n",
       "      <td>9.480416</td>\n",
       "      <td>-657.0</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>1.0</td>\n",
       "      <td>379.025840</td>\n",
       "      <td>250.694691</td>\n",
       "      <td>230.455285</td>\n",
       "      <td>[5.0, [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...</td>\n",
       "      <td>89.540769</td>\n",
       "      <td>196.405159</td>\n",
       "      <td>-515.073322</td>\n",
       "      <td>16.381276</td>\n",
       "      <td>-120.049467</td>\n",
       "      <td>9.480416</td>\n",
       "      <td>-657.0</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>1.0</td>\n",
       "      <td>376.527020</td>\n",
       "      <td>335.808662</td>\n",
       "      <td>141.926678</td>\n",
       "      <td>[4.75, [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           seriesuid     coordX      coordY  \\\n",
       "2  1.3.6.1.4.1.14519.5.2.1.6279.6001.100398138793...  69.639017 -140.944586   \n",
       "3  1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016... -24.013824  192.102405   \n",
       "4  1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...   2.441547  172.464881   \n",
       "5  1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...  90.931713  149.027266   \n",
       "6  1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...  89.540769  196.405159   \n",
       "\n",
       "       coordZ  diameter_mm       Xorig       Yorig  Zorig     Xspac     Yspac  \\\n",
       "2  876.374496     5.786348 -170.687500 -309.687500  716.7  0.625000  0.625000   \n",
       "3 -391.081276     8.143262 -120.049467    9.480416 -657.0  0.556641  0.556641   \n",
       "4 -405.493732    18.545150 -120.049467    9.480416 -657.0  0.556641  0.556641   \n",
       "5 -426.544715    18.208570 -120.049467    9.480416 -657.0  0.556641  0.556641   \n",
       "6 -515.073322    16.381276 -120.049467    9.480416 -657.0  0.556641  0.556641   \n",
       "\n",
       "   Zspac        Xnpy        Ynpy        Znpy  \\\n",
       "2    1.8  384.522428  269.988663   88.708056   \n",
       "3    1.0  172.527190  328.078802  265.918724   \n",
       "4    1.0  220.054032  292.800162  251.506268   \n",
       "5    1.0  379.025840  250.694691  230.455285   \n",
       "6    1.0  376.527020  335.808662  141.926678   \n",
       "\n",
       "                                     characteristics  \n",
       "2  [3.33333333333, [1.0, 0.0, 0.0, 0.0], [0.0, 0....  \n",
       "3  [4.5, [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0....  \n",
       "4  [5.0, [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0....  \n",
       "5  [5.0, [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0....  \n",
       "6  [4.75, [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0...  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dfann_mapped = dfann_mapped[dfann_mapped['characteristics'].apply(lambda x: len(x)) == 9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = dfann_mapped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "df['c'] = df['characteristics']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if __name__ == '__main__':\n",
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  from ipykernel import kernelapp as app\n",
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  app.launch_new_instance()\n",
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    }
   ],
   "source": [
    "df['subtlety'] = df['c'].apply(lambda x: x[0])\n",
    "df['internal_structure'] = df['c'].apply(lambda x: x[1])\n",
    "df['calcification'] = df['c'].apply(lambda x: x[2])\n",
    "df['sphericity'] = df['c'].apply(lambda x: x[3])\n",
    "df['margin'] = df['c'].apply(lambda x: x[4])\n",
    "df['lobulation'] = df['c'].apply(lambda x: x[5])\n",
    "df['spiculation'] = df['c'].apply(lambda x: x[6])\n",
    "df['texture'] = df['c'].apply(lambda x: x[7])\n",
    "df['malignancy'] = df['c'].apply(lambda x: x[8])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x16f739e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['malignancy'].hist(bins=10); show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.        ,  0.64160593],\n",
       "       [ 0.64160593,  1.        ]])"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.corrcoef(np.log(-3+df['diameter_mm']), df['malignancy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1868cdd8>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1NT1QZgB8D0A/wuGVABJQc4uHw7dicnLS8+e933JhizUR6OQ3PTLKYXqo9PmY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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x188e16a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter(df['diameter_mm'], df['malignancy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.        ,  0.26336369],\n",
       "       [ 0.26336369,  1.        ]])"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.corrcoef(df['texture'].apply(lambda x: x[1]), df['malignancy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Xnumeric = df[['diameter_mm', 'subtlety', 'margin', 'lobulation', 'spiculation']].values\n",
    "Ymalig = df['malignancy'].values\n",
    "\n",
    "from sklearn.linear_model import LogisticRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Xcat = np.zeros((df.shape[0], 4+6+3+3))\n",
    "Xcat[:,0] = df['internal_structure'].apply(lambda x: x[0]).values\n",
    "Xcat[:,1] = df['internal_structure'].apply(lambda x: x[1]).values\n",
    "Xcat[:,2] = df['internal_structure'].apply(lambda x: x[2]).values\n",
    "Xcat[:,3] = df['internal_structure'].apply(lambda x: x[3]).values\n",
    "Xcat[:,4] = df['calcification'].apply(lambda x: x[0]).values\n",
    "Xcat[:,5] = df['calcification'].apply(lambda x: x[1]).values\n",
    "Xcat[:,6] = df['calcification'].apply(lambda x: x[2]).values\n",
    "Xcat[:,7] = df['calcification'].apply(lambda x: x[3]).values\n",
    "Xcat[:,8] = df['calcification'].apply(lambda x: x[4]).values\n",
    "Xcat[:,9] = df['calcification'].apply(lambda x: x[5]).values\n",
    "Xcat[:,10] = df['sphericity'].apply(lambda x: x[0]).values\n",
    "Xcat[:,11] = df['sphericity'].apply(lambda x: x[1]).values\n",
    "Xcat[:,12] = df['sphericity'].apply(lambda x: x[2]).values\n",
    "Xcat[:,13] = df['texture'].apply(lambda x: x[0]).values\n",
    "Xcat[:,14] = df['texture'].apply(lambda x: x[1]).values\n",
    "Xcat[:,15] = df['texture'].apply(lambda x: x[2]).values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.linear_model import "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.88566552901\n",
      "0.0304936330008\n"
     ]
    }
   ],
   "source": [
    "Xnumeric = df[['diameter_mm']].values\n",
    "#Ymalig = df['malignancy'].values\n",
    "Y = np.zeros((df.shape[0],6))\n",
    "\n",
    "Y[:,0] = df['calcification'].apply(lambda x: x[0]).values\n",
    "Y[:,1] = df['calcification'].apply(lambda x: x[1]).values\n",
    "Y[:,2] = df['calcification'].apply(lambda x: x[2]).values\n",
    "Y[:,3] = df['calcification'].apply(lambda x: x[3]).values\n",
    "Y[:,4] = df['calcification'].apply(lambda x: x[4]).values\n",
    "Y[:,5] = df['calcification'].apply(lambda x: x[5]).values\n",
    "\n",
    "# Y[:,0] = df['sphericity'].apply(lambda x: x[0]).values\n",
    "# Y[:,1] = df['sphericity'].apply(lambda x: x[1]).values\n",
    "# Y[:,2] = df['sphericity'].apply(lambda x: x[2]).values\n",
    "\n",
    "# Y[:,0] = df['texture'].apply(lambda x: x[0]).values\n",
    "# Y[:,1] = df['texture'].apply(lambda x: x[1]).values\n",
    "# Y[:,2] = df['texture'].apply(lambda x: x[2]).values\n",
    "\n",
    "# Y[:,0] = df['internal_structure'].apply(lambda x: x[0]).values\n",
    "# Y[:,1] = df['internal_structure'].apply(lambda x: x[1]).values\n",
    "# Y[:,2] = df['internal_structure'].apply(lambda x: x[2]).values\n",
    "# Y[:,3] = df['internal_structure'].apply(lambda x: x[3]).values\n",
    "\n",
    "Yt = np.argmax(Y, axis=1)\n",
    "lr = LogisticRegression(C=1000).fit(Xnumeric, Yt)\n",
    "print lr.score(Xnumeric, Yt)\n",
    "from sklearn.linear_model import Ridge\n",
    "#from sklearn.metrics import \n",
    "ridge = Ridge(alpha=.0001).fit(Y,Xnumeric.ravel())\n",
    "print ridge.score(Y,Xnumeric.ravel())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Y[Yt == 0,0] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Y[Yt == 1,1:] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "92.15\n",
      "186.554761905\n",
      "893.295238095\n"
     ]
    }
   ],
   "source": [
    "np.set_printoptions(precision=4)\n",
    "for i in Y.sum(axis=0):\n",
    "    print i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.083333333333333"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y[:,3].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3 3 3]\n"
     ]
    }
   ],
   "source": [
    "print Y[Y > 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.367494452888\n"
     ]
    }
   ],
   "source": [
    "lr = LogisticRegression(C=1).fit(Xnumeric, Ymalig > 3)\n",
    "from sklearn.metrics import log_loss\n",
    "print log_loss(Ymalig > 3, lr.predict_proba(Xnumeric))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Yresid = (Ymalig > 3) - lr.predict_proba(Xnumeric)[:,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#see what is most predictive of residual\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 1.0\n",
      "1 0.542553339457\n",
      "2 -0.141792970475\n",
      "3 0.549995613446\n",
      "4 0.553989240662\n"
     ]
    }
   ],
   "source": [
    "for i in range(Xnumeric.shape[1]):\n",
    "    print i,np.corrcoef(Xnumeric[:,i],Xnumeric[:,0])[0,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1. , -0.4],\n",
       "       [-0.4,  1. ]])"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.corrcoef(df['margin'], df['malignancy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6XOfsqyJ1gBqK1AFqKlIHaF3lwJf0MUnLkh4fO7ZL0oOSnpD0WUkXj527TdIpSScl3dhW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\n38ysJ/4fUg2J8EsNwdQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18e80400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['margin'].hist(bins=10); show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.597612050876\n"
     ]
    }
   ],
   "source": [
    "lr = LogisticRegression(C=1).fit(Xcat, Ymalig > 3)\n",
    "from sklearn.metrics import log_loss\n",
    "print log_loss(Ymalig > 3, lr.predict_proba(Xcat))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 -0.510468021333\n",
      "1 -0.321192622926\n",
      "2 -0.136589573222\n",
      "3 0.9892273968\n",
      "4 0.0\n",
      "5 0.0\n",
      "6 0.0\n",
      "7 0.0\n",
      "8 0.0\n",
      "9 0.0\n",
      "10 0.0\n",
      "11 0.0\n",
      "12 0.0\n",
      "13 0.0\n",
      "14 0.0\n",
      "15 0.0\n"
     ]
    }
   ],
   "source": [
    "for i,c in enumerate(lr.coef_[0]):\n",
    "    print i, c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.143741440656\n"
     ]
    }
   ],
   "source": [
    "\n",
    "Xcombined = np.hstack([Xnumeric, Xcat])\n",
    "lr = LogisticRegression(C=1).fit(Xcombined, Ymalig > 4)\n",
    "\n",
    "from sklearn.metrics import log_loss\n",
    "print log_loss(Ymalig > 4, lr.predict_proba(Xcombined))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "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>seriesuid</th>\n",
       "      <th>coordX</th>\n",
       "      <th>coordY</th>\n",
       "      <th>coordZ</th>\n",
       "      <th>diameter_mm</th>\n",
       "      <th>Xorig</th>\n",
       "      <th>Yorig</th>\n",
       "      <th>Zorig</th>\n",
       "      <th>Xspac</th>\n",
       "      <th>Yspac</th>\n",
       "      <th>...</th>\n",
       "      <th>Znpy</th>\n",
       "      <th>subtlety</th>\n",
       "      <th>internal_structure</th>\n",
       "      <th>calcification</th>\n",
       "      <th>sphericity</th>\n",
       "      <th>margin</th>\n",
       "      <th>lobulation</th>\n",
       "      <th>spiculation</th>\n",
       "      <th>texture</th>\n",
       "      <th>malignancy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100398138793...</td>\n",
       "      <td>69.639017</td>\n",
       "      <td>-140.944586</td>\n",
       "      <td>876.374496</td>\n",
       "      <td>5.786348</td>\n",
       "      <td>-170.687500</td>\n",
       "      <td>-309.687500</td>\n",
       "      <td>716.7</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>...</td>\n",
       "      <td>88.708056</td>\n",
       "      <td>3.333333</td>\n",
       "      <td>[1.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0, 1.0]</td>\n",
       "      <td>[0.0, 1.0, 0.0]</td>\n",
       "      <td>3.666667</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>[0.0, 0.0, 1.0]</td>\n",
       "      <td>2.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...</td>\n",
       "      <td>-24.013824</td>\n",
       "      <td>192.102405</td>\n",
       "      <td>-391.081276</td>\n",
       "      <td>8.143262</td>\n",
       "      <td>-120.049467</td>\n",
       "      <td>9.480416</td>\n",
       "      <td>-657.0</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>...</td>\n",
       "      <td>265.918724</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>[1.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0, 1.0]</td>\n",
       "      <td>[0.0, 1.0, 0.0]</td>\n",
       "      <td>4.750000</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>[0.0, 0.0, 1.0]</td>\n",
       "      <td>3.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...</td>\n",
       "      <td>2.441547</td>\n",
       "      <td>172.464881</td>\n",
       "      <td>-405.493732</td>\n",
       "      <td>18.545150</td>\n",
       "      <td>-120.049467</td>\n",
       "      <td>9.480416</td>\n",
       "      <td>-657.0</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>...</td>\n",
       "      <td>251.506268</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>[1.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0, 1.0]</td>\n",
       "      <td>[0.0, 0.25, 0.75]</td>\n",
       "      <td>4.750000</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>[0.0, 0.0, 1.0]</td>\n",
       "      <td>4.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...</td>\n",
       "      <td>90.931713</td>\n",
       "      <td>149.027266</td>\n",
       "      <td>-426.544715</td>\n",
       "      <td>18.208570</td>\n",
       "      <td>-120.049467</td>\n",
       "      <td>9.480416</td>\n",
       "      <td>-657.0</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>...</td>\n",
       "      <td>230.455285</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>[1.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0, 1.0]</td>\n",
       "      <td>[0.0, 0.5, 0.5]</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>[0.0, 0.0, 1.0]</td>\n",
       "      <td>3.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...</td>\n",
       "      <td>89.540769</td>\n",
       "      <td>196.405159</td>\n",
       "      <td>-515.073322</td>\n",
       "      <td>16.381276</td>\n",
       "      <td>-120.049467</td>\n",
       "      <td>9.480416</td>\n",
       "      <td>-657.0</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>0.556641</td>\n",
       "      <td>...</td>\n",
       "      <td>141.926678</td>\n",
       "      <td>4.750000</td>\n",
       "      <td>[1.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0, 1.0]</td>\n",
       "      <td>[0.0, 0.25, 0.75]</td>\n",
       "      <td>4.250000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>[0.0, 0.5, 0.5]</td>\n",
       "      <td>3.750000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           seriesuid     coordX      coordY  \\\n",
       "2  1.3.6.1.4.1.14519.5.2.1.6279.6001.100398138793...  69.639017 -140.944586   \n",
       "3  1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016... -24.013824  192.102405   \n",
       "4  1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...   2.441547  172.464881   \n",
       "5  1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...  90.931713  149.027266   \n",
       "6  1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...  89.540769  196.405159   \n",
       "\n",
       "       coordZ  diameter_mm       Xorig       Yorig  Zorig     Xspac     Yspac  \\\n",
       "2  876.374496     5.786348 -170.687500 -309.687500  716.7  0.625000  0.625000   \n",
       "3 -391.081276     8.143262 -120.049467    9.480416 -657.0  0.556641  0.556641   \n",
       "4 -405.493732    18.545150 -120.049467    9.480416 -657.0  0.556641  0.556641   \n",
       "5 -426.544715    18.208570 -120.049467    9.480416 -657.0  0.556641  0.556641   \n",
       "6 -515.073322    16.381276 -120.049467    9.480416 -657.0  0.556641  0.556641   \n",
       "\n",
       "      ...            Znpy  subtlety    internal_structure  \\\n",
       "2     ...       88.708056  3.333333  [1.0, 0.0, 0.0, 0.0]   \n",
       "3     ...      265.918724  4.500000  [1.0, 0.0, 0.0, 0.0]   \n",
       "4     ...      251.506268  5.000000  [1.0, 0.0, 0.0, 0.0]   \n",
       "5     ...      230.455285  5.000000  [1.0, 0.0, 0.0, 0.0]   \n",
       "6     ...      141.926678  4.750000  [1.0, 0.0, 0.0, 0.0]   \n",
       "\n",
       "                    calcification         sphericity    margin lobulation  \\\n",
       "2  [0.0, 0.0, 0.0, 0.0, 0.0, 1.0]    [0.0, 1.0, 0.0]  3.666667   1.333333   \n",
       "3  [0.0, 0.0, 0.0, 0.0, 0.0, 1.0]    [0.0, 1.0, 0.0]  4.750000   1.750000   \n",
       "4  [0.0, 0.0, 0.0, 0.0, 0.0, 1.0]  [0.0, 0.25, 0.75]  4.750000   1.750000   \n",
       "5  [0.0, 0.0, 0.0, 0.0, 0.0, 1.0]    [0.0, 0.5, 0.5]  5.000000   1.750000   \n",
       "6  [0.0, 0.0, 0.0, 0.0, 0.0, 1.0]  [0.0, 0.25, 0.75]  4.250000   1.500000   \n",
       "\n",
       "  spiculation          texture  malignancy  \n",
       "2    1.333333  [0.0, 0.0, 1.0]    2.666667  \n",
       "3    1.500000  [0.0, 0.0, 1.0]    3.750000  \n",
       "4    1.500000  [0.0, 0.0, 1.0]    4.250000  \n",
       "5    1.250000  [0.0, 0.0, 1.0]    3.750000  \n",
       "6    1.500000  [0.0, 0.5, 0.5]    3.750000  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x19b28710>"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gAphPdfXdPPjggz5HZnH7/O3YsQO4wMj6woVUebR8/etfxxqb0Qm8kXoelyqPkVyzv92D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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ab04550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter(df['texture'].apply(lambda x: x[2]), df['malignancy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = df.drop(['characteristics', 'c'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df.to_csv('annotations_enhanced.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1172, 15)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "temp = dfann_mapped[dfann_mapped['characteristics'].apply(lambda x: len(x)) < 9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "dfann_mapped['internal_structure'] = dfann_mapped['characteristics'].apply()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dfann_mapped.to_csv('annotations_mapped2.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patient num 0018\n",
      "dist xy 0.700082866558 sizedelta 0.020074346897 aliases set(['0', 'nodule 004', 'il057_128328'])\n",
      "dist xy 0.101602662704 sizedelta 0.00634965086387 aliases set(['1', 'mi014_11928', 'il057_123112', 'nodule 001'])\n",
      "dist xy 0.451983824933 sizedelta 0.0187765337554 aliases set(['il057_128327', '2', 'nodule 003'])\n",
      "dist xy 0.73825573672 sizedelta 0.0168544975517 aliases set(['il057_123109', 'mi014_11912', '3', 'nodule 002'])\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:63: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
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       "                                              seriesuid      coordX  \\\n",
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       "\n",
       "                                        characteristics  \n",
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     "execution_count": 392,
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    "get_nodule_metadata('1.3.6.1.4.1.14519.5.2.1.6279.6001.882070241245008756731854510592',\n",
    "                   dfann, dfresults, df_list)"
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       "                                             seriesuid     coordX     coordY  \\\n",
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       "      <td>3</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.619372068417...</td>\n",
       "      <td>0002</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.619372068417...</td>\n",
       "      <td>{u'8': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.170706757615...</td>\n",
       "      <td>0003</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.170706757615...</td>\n",
       "      <td>{u'mi014_16599': {u'spiculation': u'2', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.323541312620...</td>\n",
       "      <td>0004</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.323541312620...</td>\n",
       "      <td>{u'mi014_16178': {u'spiculation': u'1', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.129007566048...</td>\n",
       "      <td>0005</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.129007566048...</td>\n",
       "      <td>{u'mi014_11888': {u'spiculation': u'1', u'sphe...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                                              paths  \\\n",
       "1           1  C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...   \n",
       "3           3  C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...   \n",
       "4           4  C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...   \n",
       "6           6  C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...   \n",
       "8           8  C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...   \n",
       "\n",
       "                                                xmls  \\\n",
       "1  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "3  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "4  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "6  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "8  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "\n",
       "                                          series_uid patient_id  \\\n",
       "1  1.3.6.1.4.1.14519.5.2.1.6279.6001.179049373636...       0001   \n",
       "3  1.3.6.1.4.1.14519.5.2.1.6279.6001.619372068417...       0002   \n",
       "4  1.3.6.1.4.1.14519.5.2.1.6279.6001.170706757615...       0003   \n",
       "6  1.3.6.1.4.1.14519.5.2.1.6279.6001.323541312620...       0004   \n",
       "8  1.3.6.1.4.1.14519.5.2.1.6279.6001.129007566048...       0005   \n",
       "\n",
       "                                          seriesuid2  \\\n",
       "1  1.3.6.1.4.1.14519.5.2.1.6279.6001.179049373636...   \n",
       "3  1.3.6.1.4.1.14519.5.2.1.6279.6001.619372068417...   \n",
       "4  1.3.6.1.4.1.14519.5.2.1.6279.6001.170706757615...   \n",
       "6  1.3.6.1.4.1.14519.5.2.1.6279.6001.323541312620...   \n",
       "8  1.3.6.1.4.1.14519.5.2.1.6279.6001.129007566048...   \n",
       "\n",
       "                                 nodule_infos_parsed  \n",
       "1  {u'0': {u'spiculation': u'5', u'sphericity': u...  \n",
       "3  {u'8': {u'spiculation': u'1', u'sphericity': u...  \n",
       "4  {u'mi014_16599': {u'spiculation': u'2', u'sphe...  \n",
       "6  {u'mi014_16178': {u'spiculation': u'1', u'sphe...  \n",
       "8  {u'mi014_11888': {u'spiculation': u'1', u'sphe...  "
      ]
     },
     "execution_count": 302,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfresults.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "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>case</th>\n",
       "      <th>scan</th>\n",
       "      <th>roi</th>\n",
       "      <th>volume</th>\n",
       "      <th>eq. diam.</th>\n",
       "      <th>x loc.</th>\n",
       "      <th>y loc.</th>\n",
       "      <th>slice no.</th>\n",
       "      <th>aliases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3000566</td>\n",
       "      <td>1</td>\n",
       "      <td>6459.75</td>\n",
       "      <td>23.107</td>\n",
       "      <td>317</td>\n",
       "      <td>367</td>\n",
       "      <td>43</td>\n",
       "      <td>{0, MI014_12127, IL057_127364, Nodule 001}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>3000522</td>\n",
       "      <td>1</td>\n",
       "      <td>6663.44</td>\n",
       "      <td>23.347</td>\n",
       "      <td>345</td>\n",
       "      <td>361</td>\n",
       "      <td>77</td>\n",
       "      <td>{8, MI014_11691}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3000611</td>\n",
       "      <td>1</td>\n",
       "      <td>408.79</td>\n",
       "      <td>9.208</td>\n",
       "      <td>308</td>\n",
       "      <td>198</td>\n",
       "      <td>57</td>\n",
       "      <td>{IL057_130602, MI014_16599, Nodule 003, 8}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3000611</td>\n",
       "      <td>2</td>\n",
       "      <td>1165.82</td>\n",
       "      <td>13.058</td>\n",
       "      <td>221</td>\n",
       "      <td>219</td>\n",
       "      <td>56</td>\n",
       "      <td>{9, IL057_130598, Nodule 002, MI014_16595}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>3000611</td>\n",
       "      <td>3</td>\n",
       "      <td>4989.64</td>\n",
       "      <td>21.201</td>\n",
       "      <td>367</td>\n",
       "      <td>350</td>\n",
       "      <td>65</td>\n",
       "      <td>{0, IL057_130591, MI014_16588, Nodule 001}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   case     scan  roi   volume  eq. diam.  x loc.  y loc.  slice no.  \\\n",
       "0     1  3000566    1  6459.75     23.107     317     367         43   \n",
       "1     2  3000522    1  6663.44     23.347     345     361         77   \n",
       "2     3  3000611    1   408.79      9.208     308     198         57   \n",
       "3     3  3000611    2  1165.82     13.058     221     219         56   \n",
       "4     3  3000611    3  4989.64     21.201     367     350         65   \n",
       "\n",
       "                                      aliases  \n",
       "0  {0, MI014_12127, IL057_127364, Nodule 001}  \n",
       "1                            {8, MI014_11691}  \n",
       "2  {IL057_130602, MI014_16599, Nodule 003, 8}  \n",
       "3  {9, IL057_130598, Nodule 002, MI014_16595}  \n",
       "4  {0, IL057_130591, MI014_16588, Nodule 001}  "
      ]
     },
     "execution_count": 296,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_list.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 294,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfresults.shape[0] - len(dfresults['series_uid'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "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>Unnamed: 0</th>\n",
       "      <th>paths</th>\n",
       "      <th>xmls</th>\n",
       "      <th>series_uid</th>\n",
       "      <th>patient_id</th>\n",
       "      <th>seriesuid2</th>\n",
       "      <th>nodule_infos_parsed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.179049373636...</td>\n",
       "      <td>0001</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.179049373636...</td>\n",
       "      <td>{u'0': {u'spiculation': u'5', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.619372068417...</td>\n",
       "      <td>0002</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.619372068417...</td>\n",
       "      <td>{u'8': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.170706757615...</td>\n",
       "      <td>0003</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.170706757615...</td>\n",
       "      <td>{u'mi014_16599': {u'spiculation': u'2', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.323541312620...</td>\n",
       "      <td>0004</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.323541312620...</td>\n",
       "      <td>{u'mi014_16178': {u'spiculation': u'1', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.129007566048...</td>\n",
       "      <td>0005</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.129007566048...</td>\n",
       "      <td>{u'mi014_11888': {u'spiculation': u'1', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.132817748896...</td>\n",
       "      <td>0006</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.132817748896...</td>\n",
       "      <td>{u'il057_127072': {u'spiculation': u'1', u'sph...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.272348349298...</td>\n",
       "      <td>0007</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.272348349298...</td>\n",
       "      <td>{u'mi014_19564': {u'spiculation': u'5', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.774060103415...</td>\n",
       "      <td>0008</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.774060103415...</td>\n",
       "      <td>{u'mi014_11909': {u'spiculation': u'1', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.286061375572...</td>\n",
       "      <td>0009</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.286061375572...</td>\n",
       "      <td>{u'nodule 002': {u'spiculation': u'1', u'spher...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.416701701108...</td>\n",
       "      <td>0010</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.416701701108...</td>\n",
       "      <td>{u'0': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.140253591510...</td>\n",
       "      <td>0011</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.140253591510...</td>\n",
       "      <td>{u'nodule 007': {u'spiculation': u'1', u'spher...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.328789598898...</td>\n",
       "      <td>0012</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.328789598898...</td>\n",
       "      <td>{u'il057_127233': {u'spiculation': u'1', u'sph...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.174907798609...</td>\n",
       "      <td>0013</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.174907798609...</td>\n",
       "      <td>{u'mi014_11946': {u'spiculation': u'1', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.747803439040...</td>\n",
       "      <td>0014</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.747803439040...</td>\n",
       "      <td>{u'0': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.227962600322...</td>\n",
       "      <td>0015</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.227962600322...</td>\n",
       "      <td>{u'il057_130584': {u'spiculation': u'3', u'sph...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>30</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.153536305742...</td>\n",
       "      <td>0016</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.153536305742...</td>\n",
       "      <td>{u'10': {u'spiculation': u'1', u'sphericity': ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>32</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.108231420525...</td>\n",
       "      <td>0017</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.108231420525...</td>\n",
       "      <td>{u'0': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>34</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.882070241245...</td>\n",
       "      <td>0018</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.882070241245...</td>\n",
       "      <td>{u'il057_123112': {u'spiculation': u'1', u'sph...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>35</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.330425234131...</td>\n",
       "      <td>0019</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.330425234131...</td>\n",
       "      <td>{u'0': {u'spiculation': u'5', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>38</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.315214756157...</td>\n",
       "      <td>0020</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.315214756157...</td>\n",
       "      <td>{u'0': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>39</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.188265424231...</td>\n",
       "      <td>0021</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.188265424231...</td>\n",
       "      <td>{u'il057_127399': {u'spiculation': u'1', u'sph...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>42</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.296863826932...</td>\n",
       "      <td>0022</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.296863826932...</td>\n",
       "      <td>{u'0': {u'spiculation': u'2', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>43</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.487745546557...</td>\n",
       "      <td>0023</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.487745546557...</td>\n",
       "      <td>{u'0': {u'spiculation': u'5', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>45</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.206028343897...</td>\n",
       "      <td>0024</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.206028343897...</td>\n",
       "      <td>{u'mi014_16369': {u'spiculation': u'1', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>47</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.564534197011...</td>\n",
       "      <td>0025</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.564534197011...</td>\n",
       "      <td>{u'il057_123831': {u'spiculation': u'1', u'sph...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>49</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.101228986346...</td>\n",
       "      <td>0026</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.101228986346...</td>\n",
       "      <td>{u'0': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>50</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.183843376225...</td>\n",
       "      <td>0027</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.183843376225...</td>\n",
       "      <td>{u'il057_130654': {u'spiculation': u'1', u'sph...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>53</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.203741923654...</td>\n",
       "      <td>0028</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.203741923654...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>55</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.264090899378...</td>\n",
       "      <td>0029</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.264090899378...</td>\n",
       "      <td>{u'mi014_17496': {u'spiculation': u'3', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>57</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.986011151772...</td>\n",
       "      <td>0030</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.986011151772...</td>\n",
       "      <td>{u'mi014_17779': {u'spiculation': u'1', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>1284</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.339882192295...</td>\n",
       "      <td>0990</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.339882192295...</td>\n",
       "      <td>{u'nodule 001': {u'spiculation': u'2', u'spher...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>1285</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.337005960787...</td>\n",
       "      <td>0991</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.337005960787...</td>\n",
       "      <td>{u'5360': {u'spiculation': u'1', u'sphericity'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>1286</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.187803155574...</td>\n",
       "      <td>0992</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.187803155574...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>1287</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.302876782304...</td>\n",
       "      <td>0993</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.302876782304...</td>\n",
       "      <td>{u'29844': {u'spiculation': u'1', u'sphericity...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>1288</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.534006575256...</td>\n",
       "      <td>0994</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.534006575256...</td>\n",
       "      <td>{u'0': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>1289</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.802595762867...</td>\n",
       "      <td>0995</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.802595762867...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>1290</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.842980983137...</td>\n",
       "      <td>0996</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.842980983137...</td>\n",
       "      <td>{u'nodule 002': {u'spiculation': u'1', u'spher...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>1291</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.803987517543...</td>\n",
       "      <td>0997</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.803987517543...</td>\n",
       "      <td>{u'34046': {u'spiculation': u'2', u'sphericity...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>1292</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.120301525825...</td>\n",
       "      <td>0998</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.120301525825...</td>\n",
       "      <td>{u'16522': {u'spiculation': u'1', u'sphericity...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>1293</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-0...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.216882370221...</td>\n",
       "      <td>0999</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.216882370221...</td>\n",
       "      <td>{u'il057_106041': {u'spiculation': u'1', u'sph...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>1294</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.686768766518...</td>\n",
       "      <td>1000</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.686768766518...</td>\n",
       "      <td>{u'11': {u'spiculation': u'1', u'sphericity': ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>1295</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100225287222...</td>\n",
       "      <td>1001</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100225287222...</td>\n",
       "      <td>{u'22127': {u'spiculation': u'1', u'sphericity...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>1296</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...</td>\n",
       "      <td>1002</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...</td>\n",
       "      <td>{u'1645': {u'spiculation': u'1', u'sphericity'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>1297</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.229096941293...</td>\n",
       "      <td>1003</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.229096941293...</td>\n",
       "      <td>{u'1814': {u'spiculation': u'4', u'sphericity'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>1298</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.141511313712...</td>\n",
       "      <td>1004</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.141511313712...</td>\n",
       "      <td>{u'44303': {u'spiculation': u'4', u'sphericity...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>1299</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.142485715518...</td>\n",
       "      <td>1005</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.142485715518...</td>\n",
       "      <td>{u'il057_167512': {u'spiculation': u'1', u'sph...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>1300</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.397062004302...</td>\n",
       "      <td>1006</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.397062004302...</td>\n",
       "      <td>{u'49978': {u'spiculation': u'1', u'sphericity...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>1301</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.675543413149...</td>\n",
       "      <td>1007</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.675543413149...</td>\n",
       "      <td>{u'mi014_16865': {u'spiculation': u'2', u'sphe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302</th>\n",
       "      <td>1302</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.332510758903...</td>\n",
       "      <td>1008</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.332510758903...</td>\n",
       "      <td>{u'15682': {u'spiculation': u'1', u'sphericity...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303</th>\n",
       "      <td>1303</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...</td>\n",
       "      <td>1009</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...</td>\n",
       "      <td>{u'0': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>1304</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...</td>\n",
       "      <td>1009</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...</td>\n",
       "      <td>{u'0': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>1305</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...</td>\n",
       "      <td>1009</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...</td>\n",
       "      <td>{u'0': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>1306</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...</td>\n",
       "      <td>1010</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...</td>\n",
       "      <td>{u'162810': {u'spiculation': u'1', u'sphericit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>1307</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...</td>\n",
       "      <td>1010</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...</td>\n",
       "      <td>{u'162810': {u'spiculation': u'1', u'sphericit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>1308</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...</td>\n",
       "      <td>1010</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...</td>\n",
       "      <td>{u'162810': {u'spiculation': u'1', u'sphericit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>1309</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...</td>\n",
       "      <td>1011</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...</td>\n",
       "      <td>{u'167770': {u'spiculation': u'1', u'sphericit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1310</th>\n",
       "      <td>1310</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...</td>\n",
       "      <td>1011</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...</td>\n",
       "      <td>{u'167770': {u'spiculation': u'1', u'sphericit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1311</th>\n",
       "      <td>1311</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...</td>\n",
       "      <td>1011</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...</td>\n",
       "      <td>{u'167770': {u'spiculation': u'1', u'sphericit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1312</th>\n",
       "      <td>1312</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...</td>\n",
       "      <td>1011</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...</td>\n",
       "      <td>{u'167770': {u'spiculation': u'1', u'sphericit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1313</th>\n",
       "      <td>1313</td>\n",
       "      <td>C:\\Users\\DHammack\\Desktop\\lidc\\DOI\\LIDC-IDRI-1...</td>\n",
       "      <td>&lt;?xml version=\"1.0\" encoding=\"UTF-8\"?&gt;\\r\\n&lt;Lid...</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.153646219551...</td>\n",
       "      <td>1012</td>\n",
       "      <td>1.3.6.1.4.1.14519.5.2.1.6279.6001.153646219551...</td>\n",
       "      <td>{u'0': {u'spiculation': u'1', u'sphericity': u...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1031 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0                                              paths  \\\n",
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       "...          ...                                                ...   \n",
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       "\n",
       "                                                   xmls  \\\n",
       "1     <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "3     <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "4     <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "6     <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "8     <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "10    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "13    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "14    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "17    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "18    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "20    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "21    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "24    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "26    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "28    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "30    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "32    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "34    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "35    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "38    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "39    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "42    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "43    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "45    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "47    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "49    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "50    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "53    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "55    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "57    <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "...                                                 ...   \n",
       "1284  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1285  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1286  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1287  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1288  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1289  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1290  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1291  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1292  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1293  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1294  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1295  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1296  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1297  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1298  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1299  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1300  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1301  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1302  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1303  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1304  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1305  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1306  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1307  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1308  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1309  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1310  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1311  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1312  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "1313  <?xml version=\"1.0\" encoding=\"UTF-8\"?>\\r\\n<Lid...   \n",
       "\n",
       "                                             series_uid patient_id  \\\n",
       "1     1.3.6.1.4.1.14519.5.2.1.6279.6001.179049373636...       0001   \n",
       "3     1.3.6.1.4.1.14519.5.2.1.6279.6001.619372068417...       0002   \n",
       "4     1.3.6.1.4.1.14519.5.2.1.6279.6001.170706757615...       0003   \n",
       "6     1.3.6.1.4.1.14519.5.2.1.6279.6001.323541312620...       0004   \n",
       "8     1.3.6.1.4.1.14519.5.2.1.6279.6001.129007566048...       0005   \n",
       "10    1.3.6.1.4.1.14519.5.2.1.6279.6001.132817748896...       0006   \n",
       "13    1.3.6.1.4.1.14519.5.2.1.6279.6001.272348349298...       0007   \n",
       "14    1.3.6.1.4.1.14519.5.2.1.6279.6001.774060103415...       0008   \n",
       "17    1.3.6.1.4.1.14519.5.2.1.6279.6001.286061375572...       0009   \n",
       "18    1.3.6.1.4.1.14519.5.2.1.6279.6001.416701701108...       0010   \n",
       "20    1.3.6.1.4.1.14519.5.2.1.6279.6001.140253591510...       0011   \n",
       "21    1.3.6.1.4.1.14519.5.2.1.6279.6001.328789598898...       0012   \n",
       "24    1.3.6.1.4.1.14519.5.2.1.6279.6001.174907798609...       0013   \n",
       "26    1.3.6.1.4.1.14519.5.2.1.6279.6001.747803439040...       0014   \n",
       "28    1.3.6.1.4.1.14519.5.2.1.6279.6001.227962600322...       0015   \n",
       "30    1.3.6.1.4.1.14519.5.2.1.6279.6001.153536305742...       0016   \n",
       "32    1.3.6.1.4.1.14519.5.2.1.6279.6001.108231420525...       0017   \n",
       "34    1.3.6.1.4.1.14519.5.2.1.6279.6001.882070241245...       0018   \n",
       "35    1.3.6.1.4.1.14519.5.2.1.6279.6001.330425234131...       0019   \n",
       "38    1.3.6.1.4.1.14519.5.2.1.6279.6001.315214756157...       0020   \n",
       "39    1.3.6.1.4.1.14519.5.2.1.6279.6001.188265424231...       0021   \n",
       "42    1.3.6.1.4.1.14519.5.2.1.6279.6001.296863826932...       0022   \n",
       "43    1.3.6.1.4.1.14519.5.2.1.6279.6001.487745546557...       0023   \n",
       "45    1.3.6.1.4.1.14519.5.2.1.6279.6001.206028343897...       0024   \n",
       "47    1.3.6.1.4.1.14519.5.2.1.6279.6001.564534197011...       0025   \n",
       "49    1.3.6.1.4.1.14519.5.2.1.6279.6001.101228986346...       0026   \n",
       "50    1.3.6.1.4.1.14519.5.2.1.6279.6001.183843376225...       0027   \n",
       "53    1.3.6.1.4.1.14519.5.2.1.6279.6001.203741923654...       0028   \n",
       "55    1.3.6.1.4.1.14519.5.2.1.6279.6001.264090899378...       0029   \n",
       "57    1.3.6.1.4.1.14519.5.2.1.6279.6001.986011151772...       0030   \n",
       "...                                                 ...        ...   \n",
       "1284  1.3.6.1.4.1.14519.5.2.1.6279.6001.339882192295...       0990   \n",
       "1285  1.3.6.1.4.1.14519.5.2.1.6279.6001.337005960787...       0991   \n",
       "1286  1.3.6.1.4.1.14519.5.2.1.6279.6001.187803155574...       0992   \n",
       "1287  1.3.6.1.4.1.14519.5.2.1.6279.6001.302876782304...       0993   \n",
       "1288  1.3.6.1.4.1.14519.5.2.1.6279.6001.534006575256...       0994   \n",
       "1289  1.3.6.1.4.1.14519.5.2.1.6279.6001.802595762867...       0995   \n",
       "1290  1.3.6.1.4.1.14519.5.2.1.6279.6001.842980983137...       0996   \n",
       "1291  1.3.6.1.4.1.14519.5.2.1.6279.6001.803987517543...       0997   \n",
       "1292  1.3.6.1.4.1.14519.5.2.1.6279.6001.120301525825...       0998   \n",
       "1293  1.3.6.1.4.1.14519.5.2.1.6279.6001.216882370221...       0999   \n",
       "1294  1.3.6.1.4.1.14519.5.2.1.6279.6001.686768766518...       1000   \n",
       "1295  1.3.6.1.4.1.14519.5.2.1.6279.6001.100225287222...       1001   \n",
       "1296  1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...       1002   \n",
       "1297  1.3.6.1.4.1.14519.5.2.1.6279.6001.229096941293...       1003   \n",
       "1298  1.3.6.1.4.1.14519.5.2.1.6279.6001.141511313712...       1004   \n",
       "1299  1.3.6.1.4.1.14519.5.2.1.6279.6001.142485715518...       1005   \n",
       "1300  1.3.6.1.4.1.14519.5.2.1.6279.6001.397062004302...       1006   \n",
       "1301  1.3.6.1.4.1.14519.5.2.1.6279.6001.675543413149...       1007   \n",
       "1302  1.3.6.1.4.1.14519.5.2.1.6279.6001.332510758903...       1008   \n",
       "1303  1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...       1009   \n",
       "1304  1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...       1009   \n",
       "1305  1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...       1009   \n",
       "1306  1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...       1010   \n",
       "1307  1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...       1010   \n",
       "1308  1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...       1010   \n",
       "1309  1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...       1011   \n",
       "1310  1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...       1011   \n",
       "1311  1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...       1011   \n",
       "1312  1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...       1011   \n",
       "1313  1.3.6.1.4.1.14519.5.2.1.6279.6001.153646219551...       1012   \n",
       "\n",
       "                                             seriesuid2  \\\n",
       "1     1.3.6.1.4.1.14519.5.2.1.6279.6001.179049373636...   \n",
       "3     1.3.6.1.4.1.14519.5.2.1.6279.6001.619372068417...   \n",
       "4     1.3.6.1.4.1.14519.5.2.1.6279.6001.170706757615...   \n",
       "6     1.3.6.1.4.1.14519.5.2.1.6279.6001.323541312620...   \n",
       "8     1.3.6.1.4.1.14519.5.2.1.6279.6001.129007566048...   \n",
       "10    1.3.6.1.4.1.14519.5.2.1.6279.6001.132817748896...   \n",
       "13    1.3.6.1.4.1.14519.5.2.1.6279.6001.272348349298...   \n",
       "14    1.3.6.1.4.1.14519.5.2.1.6279.6001.774060103415...   \n",
       "17    1.3.6.1.4.1.14519.5.2.1.6279.6001.286061375572...   \n",
       "18    1.3.6.1.4.1.14519.5.2.1.6279.6001.416701701108...   \n",
       "20    1.3.6.1.4.1.14519.5.2.1.6279.6001.140253591510...   \n",
       "21    1.3.6.1.4.1.14519.5.2.1.6279.6001.328789598898...   \n",
       "24    1.3.6.1.4.1.14519.5.2.1.6279.6001.174907798609...   \n",
       "26    1.3.6.1.4.1.14519.5.2.1.6279.6001.747803439040...   \n",
       "28    1.3.6.1.4.1.14519.5.2.1.6279.6001.227962600322...   \n",
       "30    1.3.6.1.4.1.14519.5.2.1.6279.6001.153536305742...   \n",
       "32    1.3.6.1.4.1.14519.5.2.1.6279.6001.108231420525...   \n",
       "34    1.3.6.1.4.1.14519.5.2.1.6279.6001.882070241245...   \n",
       "35    1.3.6.1.4.1.14519.5.2.1.6279.6001.330425234131...   \n",
       "38    1.3.6.1.4.1.14519.5.2.1.6279.6001.315214756157...   \n",
       "39    1.3.6.1.4.1.14519.5.2.1.6279.6001.188265424231...   \n",
       "42    1.3.6.1.4.1.14519.5.2.1.6279.6001.296863826932...   \n",
       "43    1.3.6.1.4.1.14519.5.2.1.6279.6001.487745546557...   \n",
       "45    1.3.6.1.4.1.14519.5.2.1.6279.6001.206028343897...   \n",
       "47    1.3.6.1.4.1.14519.5.2.1.6279.6001.564534197011...   \n",
       "49    1.3.6.1.4.1.14519.5.2.1.6279.6001.101228986346...   \n",
       "50    1.3.6.1.4.1.14519.5.2.1.6279.6001.183843376225...   \n",
       "53    1.3.6.1.4.1.14519.5.2.1.6279.6001.203741923654...   \n",
       "55    1.3.6.1.4.1.14519.5.2.1.6279.6001.264090899378...   \n",
       "57    1.3.6.1.4.1.14519.5.2.1.6279.6001.986011151772...   \n",
       "...                                                 ...   \n",
       "1284  1.3.6.1.4.1.14519.5.2.1.6279.6001.339882192295...   \n",
       "1285  1.3.6.1.4.1.14519.5.2.1.6279.6001.337005960787...   \n",
       "1286  1.3.6.1.4.1.14519.5.2.1.6279.6001.187803155574...   \n",
       "1287  1.3.6.1.4.1.14519.5.2.1.6279.6001.302876782304...   \n",
       "1288  1.3.6.1.4.1.14519.5.2.1.6279.6001.534006575256...   \n",
       "1289  1.3.6.1.4.1.14519.5.2.1.6279.6001.802595762867...   \n",
       "1290  1.3.6.1.4.1.14519.5.2.1.6279.6001.842980983137...   \n",
       "1291  1.3.6.1.4.1.14519.5.2.1.6279.6001.803987517543...   \n",
       "1292  1.3.6.1.4.1.14519.5.2.1.6279.6001.120301525825...   \n",
       "1293  1.3.6.1.4.1.14519.5.2.1.6279.6001.216882370221...   \n",
       "1294  1.3.6.1.4.1.14519.5.2.1.6279.6001.686768766518...   \n",
       "1295  1.3.6.1.4.1.14519.5.2.1.6279.6001.100225287222...   \n",
       "1296  1.3.6.1.4.1.14519.5.2.1.6279.6001.100621383016...   \n",
       "1297  1.3.6.1.4.1.14519.5.2.1.6279.6001.229096941293...   \n",
       "1298  1.3.6.1.4.1.14519.5.2.1.6279.6001.141511313712...   \n",
       "1299  1.3.6.1.4.1.14519.5.2.1.6279.6001.142485715518...   \n",
       "1300  1.3.6.1.4.1.14519.5.2.1.6279.6001.397062004302...   \n",
       "1301  1.3.6.1.4.1.14519.5.2.1.6279.6001.675543413149...   \n",
       "1302  1.3.6.1.4.1.14519.5.2.1.6279.6001.332510758903...   \n",
       "1303  1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...   \n",
       "1304  1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...   \n",
       "1305  1.3.6.1.4.1.14519.5.2.1.6279.6001.855232435861...   \n",
       "1306  1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...   \n",
       "1307  1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...   \n",
       "1308  1.3.6.1.4.1.14519.5.2.1.6279.6001.550599855064...   \n",
       "1309  1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...   \n",
       "1310  1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...   \n",
       "1311  1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...   \n",
       "1312  1.3.6.1.4.1.14519.5.2.1.6279.6001.272123398257...   \n",
       "1313  1.3.6.1.4.1.14519.5.2.1.6279.6001.153646219551...   \n",
       "\n",
       "                                    nodule_infos_parsed  \n",
       "1     {u'0': {u'spiculation': u'5', u'sphericity': u...  \n",
       "3     {u'8': {u'spiculation': u'1', u'sphericity': u...  \n",
       "4     {u'mi014_16599': {u'spiculation': u'2', u'sphe...  \n",
       "6     {u'mi014_16178': {u'spiculation': u'1', u'sphe...  \n",
       "8     {u'mi014_11888': {u'spiculation': u'1', u'sphe...  \n",
       "10    {u'il057_127072': {u'spiculation': u'1', u'sph...  \n",
       "13    {u'mi014_19564': {u'spiculation': u'5', u'sphe...  \n",
       "14    {u'mi014_11909': {u'spiculation': u'1', u'sphe...  \n",
       "17    {u'nodule 002': {u'spiculation': u'1', u'spher...  \n",
       "18    {u'0': {u'spiculation': u'1', u'sphericity': u...  \n",
       "20    {u'nodule 007': {u'spiculation': u'1', u'spher...  \n",
       "21    {u'il057_127233': {u'spiculation': u'1', u'sph...  \n",
       "24    {u'mi014_11946': {u'spiculation': u'1', u'sphe...  \n",
       "26    {u'0': {u'spiculation': u'1', u'sphericity': u...  \n",
       "28    {u'il057_130584': {u'spiculation': u'3', u'sph...  \n",
       "30    {u'10': {u'spiculation': u'1', u'sphericity': ...  \n",
       "32    {u'0': {u'spiculation': u'1', u'sphericity': u...  \n",
       "34    {u'il057_123112': {u'spiculation': u'1', u'sph...  \n",
       "35    {u'0': {u'spiculation': u'5', u'sphericity': u...  \n",
       "38    {u'0': {u'spiculation': u'1', u'sphericity': u...  \n",
       "39    {u'il057_127399': {u'spiculation': u'1', u'sph...  \n",
       "42    {u'0': {u'spiculation': u'2', u'sphericity': u...  \n",
       "43    {u'0': {u'spiculation': u'5', u'sphericity': u...  \n",
       "45    {u'mi014_16369': {u'spiculation': u'1', u'sphe...  \n",
       "47    {u'il057_123831': {u'spiculation': u'1', u'sph...  \n",
       "49    {u'0': {u'spiculation': u'1', u'sphericity': u...  \n",
       "50    {u'il057_130654': {u'spiculation': u'1', u'sph...  \n",
       "53                                                   {}  \n",
       "55    {u'mi014_17496': {u'spiculation': u'3', u'sphe...  \n",
       "57    {u'mi014_17779': {u'spiculation': u'1', u'sphe...  \n",
       "...                                                 ...  \n",
       "1284  {u'nodule 001': {u'spiculation': u'2', u'spher...  \n",
       "1285  {u'5360': {u'spiculation': u'1', u'sphericity'...  \n",
       "1286                                                 {}  \n",
       "1287  {u'29844': {u'spiculation': u'1', u'sphericity...  \n",
       "1288  {u'0': {u'spiculation': u'1', u'sphericity': u...  \n",
       "1289                                                 {}  \n",
       "1290  {u'nodule 002': {u'spiculation': u'1', u'spher...  \n",
       "1291  {u'34046': {u'spiculation': u'2', u'sphericity...  \n",
       "1292  {u'16522': {u'spiculation': u'1', u'sphericity...  \n",
       "1293  {u'il057_106041': {u'spiculation': u'1', u'sph...  \n",
       "1294  {u'11': {u'spiculation': u'1', u'sphericity': ...  \n",
       "1295  {u'22127': {u'spiculation': u'1', u'sphericity...  \n",
       "1296  {u'1645': {u'spiculation': u'1', u'sphericity'...  \n",
       "1297  {u'1814': {u'spiculation': u'4', u'sphericity'...  \n",
       "1298  {u'44303': {u'spiculation': u'4', u'sphericity...  \n",
       "1299  {u'il057_167512': {u'spiculation': u'1', u'sph...  \n",
       "1300  {u'49978': {u'spiculation': u'1', u'sphericity...  \n",
       "1301  {u'mi014_16865': {u'spiculation': u'2', u'sphe...  \n",
       "1302  {u'15682': {u'spiculation': u'1', u'sphericity...  \n",
       "1303  {u'0': {u'spiculation': u'1', u'sphericity': u...  \n",
       "1304  {u'0': {u'spiculation': u'1', u'sphericity': u...  \n",
       "1305  {u'0': {u'spiculation': u'1', u'sphericity': u...  \n",
       "1306  {u'162810': {u'spiculation': u'1', u'sphericit...  \n",
       "1307  {u'162810': {u'spiculation': u'1', u'sphericit...  \n",
       "1308  {u'162810': {u'spiculation': u'1', u'sphericit...  \n",
       "1309  {u'167770': {u'spiculation': u'1', u'sphericit...  \n",
       "1310  {u'167770': {u'spiculation': u'1', u'sphericit...  \n",
       "1311  {u'167770': {u'spiculation': u'1', u'sphericit...  \n",
       "1312  {u'167770': {u'spiculation': u'1', u'sphericit...  \n",
       "1313  {u'0': {u'spiculation': u'1', u'sphericity': u...  \n",
       "\n",
       "[1031 rows x 7 columns]"
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfresults"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation to diameter #"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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