Untitled11.ipynb

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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>Time</th>\n",
       "      <th>user</th>\n",
       "      <th>text</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>27730062</td>\n",
       "      <td>Sat Nov 17 05:51:28 +0000 2018</td>\n",
       "      <td>ibp3000</td>\n",
       "      <td>b'Driving around Chicago. Listening to their h...</td>\n",
       "      <td>41.921692</td>\n",
       "      <td>-87.668659</td>\n",
       "      <td>(41.92169189,-87.66865874)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>114648155</td>\n",
       "      <td>Sat Nov 17 05:50:49 +0000 2018</td>\n",
       "      <td>southlowe</td>\n",
       "      <td>b'I couldn?t decide. #snapseed #chicago @ Chic...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>91243723</td>\n",
       "      <td>Sat Nov 17 05:49:43 +0000 2018</td>\n",
       "      <td>JonathanSWest</td>\n",
       "      <td>b\"Why do I @choosechicago? Tonight's 105th ann...</td>\n",
       "      <td>41.883333</td>\n",
       "      <td>-87.633333</td>\n",
       "      <td>(41.88333333,-87.63333333)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>24905463</td>\n",
       "      <td>Sat Nov 17 05:49:39 +0000 2018</td>\n",
       "      <td>ChefJoeJo</td>\n",
       "      <td>b'Just posted a photo @ Malcolm X College http...</td>\n",
       "      <td>41.877853</td>\n",
       "      <td>-87.675490</td>\n",
       "      <td>(41.87785329,-87.67549038)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>592430543</td>\n",
       "      <td>Sat Nov 17 05:48:55 +0000 2018</td>\n",
       "      <td>rmuench22</td>\n",
       "      <td>b'8 years later and I still can?t shake these ...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>37494340</td>\n",
       "      <td>Sat Nov 17 05:48:03 +0000 2018</td>\n",
       "      <td>ChiraqQua</td>\n",
       "      <td>b'Rock wit us. #RvRRadioShow #ChiraqQua #ChiCi...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>111993437</td>\n",
       "      <td>Sat Nov 17 05:48:02 +0000 2018</td>\n",
       "      <td>syntax72</td>\n",
       "      <td>b'Hail Satan 666 - Drinking a Logsdon Table Br...</td>\n",
       "      <td>41.921700</td>\n",
       "      <td>-87.656200</td>\n",
       "      <td>(41.9217,-87.6562)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>431136327</td>\n",
       "      <td>Sat Nov 17 05:47:11 +0000 2018</td>\n",
       "      <td>SeanTierney66</td>\n",
       "      <td>b'KINGS WIN!!! #KingsWin #KINGSvsCHI #LAKvsCHI...</td>\n",
       "      <td>41.880599</td>\n",
       "      <td>-87.673998</td>\n",
       "      <td>(41.88059904,-87.67399833)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>18954317</td>\n",
       "      <td>Sat Nov 17 05:42:52 +0000 2018</td>\n",
       "      <td>theultimatetv</td>\n",
       "      <td>b'May The Force is with You! #Chitag2018 @ Chi...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2458242680</td>\n",
       "      <td>Sat Nov 17 05:42:00 +0000 2018</td>\n",
       "      <td>TheBrewLife402</td>\n",
       "      <td>b'#FOBAB - Drinking a Daisy Cutter Pale Ale by...</td>\n",
       "      <td>41.880900</td>\n",
       "      <td>-87.647000</td>\n",
       "      <td>(41.8809,-87.647)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>373038991</td>\n",
       "      <td>Sat Nov 17 05:38:02 +0000 2018</td>\n",
       "      <td>JanzenHanz</td>\n",
       "      <td>b'It?s ? out there so I remind you to protect ...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>317998471</td>\n",
       "      <td>Sat Nov 17 05:37:56 +0000 2018</td>\n",
       "      <td>SeanCTheBrand</td>\n",
       "      <td>b'It?s a wrap? #SetLife Living a #Dream #MrBro...</td>\n",
       "      <td>41.885534</td>\n",
       "      <td>-87.627322</td>\n",
       "      <td>(41.88553413,-87.62732172)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>42632503</td>\n",
       "      <td>Sat Nov 17 05:37:20 +0000 2018</td>\n",
       "      <td>GreenEggsNSamm</td>\n",
       "      <td>b'Rhinos make good pillows for pibbles.\\n#pitb...</td>\n",
       "      <td>41.899722</td>\n",
       "      <td>-87.650000</td>\n",
       "      <td>(41.89972222,-87.65)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>17188482</td>\n",
       "      <td>Sat Nov 17 05:37:11 +0000 2018</td>\n",
       "      <td>Radha824</td>\n",
       "      <td>b'Good friends, good wine, good fun. So thankf...</td>\n",
       "      <td>41.939580</td>\n",
       "      <td>-87.663420</td>\n",
       "      <td>(41.93958,-87.66342)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>18954317</td>\n",
       "      <td>Sat Nov 17 05:37:09 +0000 2018</td>\n",
       "      <td>theultimatetv</td>\n",
       "      <td>b'See you there!! #Chitag2018 @ Navy Pier http...</td>\n",
       "      <td>41.891690</td>\n",
       "      <td>-87.608340</td>\n",
       "      <td>(41.891690000000004,-87.60834)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>51271349</td>\n",
       "      <td>Sat Nov 17 05:36:25 +0000 2018</td>\n",
       "      <td>Angelinthepits</td>\n",
       "      <td>b'rezz @ Official Aragon Ballroom https://t.co...</td>\n",
       "      <td>41.969303</td>\n",
       "      <td>-87.658037</td>\n",
       "      <td>(41.96930347,-87.65803652)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>176642704</td>\n",
       "      <td>Sat Nov 17 05:31:06 +0000 2018</td>\n",
       "      <td>SotomayorJade</td>\n",
       "      <td>b\"Showtime at Big Jims in 15 mins. Come thru n...</td>\n",
       "      <td>41.945691</td>\n",
       "      <td>-87.649250</td>\n",
       "      <td>(41.945691100000005,-87.6492505)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>362588867</td>\n",
       "      <td>Sat Nov 17 05:30:53 +0000 2018</td>\n",
       "      <td>gmingay</td>\n",
       "      <td>b\"Hyped. #TurtleRacing #Chicago @ Big Joe's 2 ...</td>\n",
       "      <td>41.976222</td>\n",
       "      <td>-87.675538</td>\n",
       "      <td>(41.976222,-87.675538)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4549162582</td>\n",
       "      <td>Sat Nov 17 05:30:08 +0000 2018</td>\n",
       "      <td>everylotchicago</td>\n",
       "      <td>b'4451 North Springfield Avenue https://t.co/V...</td>\n",
       "      <td>41.962510</td>\n",
       "      <td>-87.725070</td>\n",
       "      <td>(41.962509999999995,-87.72507)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20652816</td>\n",
       "      <td>Sat Nov 17 05:26:33 +0000 2018</td>\n",
       "      <td>lilgayafg</td>\n",
       "      <td>b'Lmao I?m so awkward why do I go out in public'</td>\n",
       "      <td>41.973328</td>\n",
       "      <td>-87.668013</td>\n",
       "      <td>(41.97332764,-87.66801333)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>794160156</td>\n",
       "      <td>Sat Nov 17 05:19:27 +0000 2018</td>\n",
       "      <td>bluecoconut16</td>\n",
       "      <td>b'The study-at-the-bar experiment lasted for a...</td>\n",
       "      <td>41.944660</td>\n",
       "      <td>-87.654104</td>\n",
       "      <td>(41.94466,-87.6541041)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>902523643</td>\n",
       "      <td>Sat Nov 17 05:15:54 +0000 2018</td>\n",
       "      <td>krosschicago</td>\n",
       "      <td>b'TAO taochicago Friday night........#Chicago ...</td>\n",
       "      <td>41.893449</td>\n",
       "      <td>-87.629995</td>\n",
       "      <td>(41.89344867,-87.62999475)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20450591</td>\n",
       "      <td>Sat Nov 17 05:11:20 +0000 2018</td>\n",
       "      <td>emoleechen</td>\n",
       "      <td>b\"I'm at The James Chicago-Magnificent Mile - ...</td>\n",
       "      <td>41.893133</td>\n",
       "      <td>-87.625733</td>\n",
       "      <td>(41.89313254,-87.62573272)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>882122462640656384</td>\n",
       "      <td>Sat Nov 17 05:11:15 +0000 2018</td>\n",
       "      <td>KaitstheName</td>\n",
       "      <td>b'Mom got a new bed frame ... we got a new han...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4549162582</td>\n",
       "      <td>Sat Nov 17 05:10:08 +0000 2018</td>\n",
       "      <td>everylotchicago</td>\n",
       "      <td>b'4459 North Springfield Avenue https://t.co/K...</td>\n",
       "      <td>41.962740</td>\n",
       "      <td>-87.725080</td>\n",
       "      <td>(41.962740000000004,-87.72508)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>111993437</td>\n",
       "      <td>Sat Nov 17 05:10:00 +0000 2018</td>\n",
       "      <td>syntax72</td>\n",
       "      <td>b'Hail Satan. - Drinking a Rohrwerker by @Pipe...</td>\n",
       "      <td>41.921700</td>\n",
       "      <td>-87.656200</td>\n",
       "      <td>(41.9217,-87.6562)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>69174353</td>\n",
       "      <td>Sat Nov 17 05:09:30 +0000 2018</td>\n",
       "      <td>FRANKROB107</td>\n",
       "      <td>b'LESS THAN AN HOUR AWAY UNTIL @windycitylive ...</td>\n",
       "      <td>41.885442</td>\n",
       "      <td>-87.628050</td>\n",
       "      <td>(41.88544236,-87.62805026)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>362588867</td>\n",
       "      <td>Sat Nov 17 05:06:59 +0000 2018</td>\n",
       "      <td>gmingay</td>\n",
       "      <td>b\"These two. A rare sighting seeing them hangi...</td>\n",
       "      <td>41.976222</td>\n",
       "      <td>-87.675538</td>\n",
       "      <td>(41.976222,-87.675538)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2762115149</td>\n",
       "      <td>Sat Nov 17 05:05:53 +0000 2018</td>\n",
       "      <td>jangles308</td>\n",
       "      <td>b'#datenight. I have an original and first @Ma...</td>\n",
       "      <td>41.956493</td>\n",
       "      <td>-87.723677</td>\n",
       "      <td>(41.95649348,-87.72367709999999)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>259756781</td>\n",
       "      <td>Sat Nov 17 05:05:49 +0000 2018</td>\n",
       "      <td>shawnamphotog</td>\n",
       "      <td>b\"Working on a few Chicago pics this weekend. ...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</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>85</th>\n",
       "      <td>14665382</td>\n",
       "      <td>Sat Nov 17 02:36:12 +0000 2018</td>\n",
       "      <td>larryodean</td>\n",
       "      <td>b'Welcome back to the Folk You! stage, Tom Hen...</td>\n",
       "      <td>41.954430</td>\n",
       "      <td>-87.676530</td>\n",
       "      <td>(41.95443,-87.67653)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>1116311</td>\n",
       "      <td>Sat Nov 17 02:36:01 +0000 2018</td>\n",
       "      <td>bcbeatty</td>\n",
       "      <td>b'#fobab - Drinking a Swimming In the Mangrove...</td>\n",
       "      <td>41.866900</td>\n",
       "      <td>-87.646500</td>\n",
       "      <td>(41.8669,-87.6465)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>145469568</td>\n",
       "      <td>Sat Nov 17 02:34:24 +0000 2018</td>\n",
       "      <td>fee4three</td>\n",
       "      <td>b'Right now ! Pull up bourbonondivision #heart...</td>\n",
       "      <td>41.903470</td>\n",
       "      <td>-87.679230</td>\n",
       "      <td>(41.90347,-87.67923)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>260309337</td>\n",
       "      <td>Sat Nov 17 02:34:06 +0000 2018</td>\n",
       "      <td>timdalliday</td>\n",
       "      <td>b'Go Hawks Go! @ United Center https://t.co/9L...</td>\n",
       "      <td>41.880599</td>\n",
       "      <td>-87.673998</td>\n",
       "      <td>(41.88059904,-87.67399833)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>17039396</td>\n",
       "      <td>Sat Nov 17 02:34:06 +0000 2018</td>\n",
       "      <td>JustinAAronson</td>\n",
       "      <td>b'Drinking an Off-Black by @HopewellBrewing @ ...</td>\n",
       "      <td>41.923800</td>\n",
       "      <td>-87.698500</td>\n",
       "      <td>(41.9238,-87.6985)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>249012572</td>\n",
       "      <td>Sat Nov 17 02:34:03 +0000 2018</td>\n",
       "      <td>Sandeezy88</td>\n",
       "      <td>b'Drinking a Willettized Coffee Stout by @lagu...</td>\n",
       "      <td>41.866900</td>\n",
       "      <td>-87.646500</td>\n",
       "      <td>(41.8669,-87.6465)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>970342743397617664</td>\n",
       "      <td>Sat Nov 17 02:32:20 +0000 2018</td>\n",
       "      <td>BrevonDarksteel</td>\n",
       "      <td>b'Our beautiful  view of Chicago , getting rea...</td>\n",
       "      <td>41.892000</td>\n",
       "      <td>-87.627500</td>\n",
       "      <td>(41.891999999999996,-87.6275)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1975824030</td>\n",
       "      <td>Sat Nov 17 02:32:14 +0000 2018</td>\n",
       "      <td>Jennandherjugs</td>\n",
       "      <td>b'\"Let me just say: peace to you if you\\'re wi...</td>\n",
       "      <td>41.945029</td>\n",
       "      <td>-87.690758</td>\n",
       "      <td>(41.94502912,-87.69075804)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>443783189</td>\n",
       "      <td>Sat Nov 17 02:31:52 +0000 2018</td>\n",
       "      <td>TFEBOSS</td>\n",
       "      <td>b\"Tonight's Cook Up ?? #StillWorking #PowerCir...</td>\n",
       "      <td>41.966384</td>\n",
       "      <td>-87.639212</td>\n",
       "      <td>(41.96638353,-87.63921222)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>34136263</td>\n",
       "      <td>Sat Nov 17 02:31:05 +0000 2018</td>\n",
       "      <td>brainsc</td>\n",
       "      <td>b'I like your style. #FOBAB - Drinking a Blend...</td>\n",
       "      <td>41.866900</td>\n",
       "      <td>-87.646500</td>\n",
       "      <td>(41.8669,-87.6465)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>249012572</td>\n",
       "      <td>Sat Nov 17 02:31:02 +0000 2018</td>\n",
       "      <td>Sandeezy88</td>\n",
       "      <td>b'Drinking a Mind FK by @MaplewoodBeer @ FoBAB...</td>\n",
       "      <td>41.866900</td>\n",
       "      <td>-87.646500</td>\n",
       "      <td>(41.8669,-87.6465)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2440034389</td>\n",
       "      <td>Sat Nov 17 02:30:13 +0000 2018</td>\n",
       "      <td>eleria_j</td>\n",
       "      <td>b'the windy city @ Chicago, Illinois https://t...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>4549162582</td>\n",
       "      <td>Sat Nov 17 02:30:07 +0000 2018</td>\n",
       "      <td>everylotchicago</td>\n",
       "      <td>b'3908 West Montrose Avenue https://t.co/xIaKp...</td>\n",
       "      <td>41.961250</td>\n",
       "      <td>-87.725850</td>\n",
       "      <td>(41.96125,-87.72585)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>201144866</td>\n",
       "      <td>Sat Nov 17 02:29:41 +0000 2018</td>\n",
       "      <td>BoDiDeederRMG</td>\n",
       "      <td>b'#linkinbio #trapfever ?? @ South Side, Chica...</td>\n",
       "      <td>41.867100</td>\n",
       "      <td>-87.621600</td>\n",
       "      <td>(41.8671,-87.6216)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2994194153</td>\n",
       "      <td>Sat Nov 17 02:27:23 +0000 2018</td>\n",
       "      <td>jason_pettus</td>\n",
       "      <td>b'Intermission at #mst3klive here in Chicago t...</td>\n",
       "      <td>41.935453</td>\n",
       "      <td>-87.663984</td>\n",
       "      <td>(41.93545345,-87.66398415)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>27296789</td>\n",
       "      <td>Sat Nov 17 02:26:32 +0000 2018</td>\n",
       "      <td>BreezyAllDay</td>\n",
       "      <td>b'All of this is currently at the Gala except ...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>29231959</td>\n",
       "      <td>Sat Nov 17 02:26:27 +0000 2018</td>\n",
       "      <td>iamderrickstwtr</td>\n",
       "      <td>b'#PurpleSkyline @ Chicago Riverwalk https://t...</td>\n",
       "      <td>41.888400</td>\n",
       "      <td>-87.618971</td>\n",
       "      <td>(41.88840017,-87.61897076)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>122204506</td>\n",
       "      <td>Sat Nov 17 02:26:05 +0000 2018</td>\n",
       "      <td>PrincezzAmira</td>\n",
       "      <td>b'Just posted a photo @ Chicago, Illinois http...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>114878796</td>\n",
       "      <td>Sat Nov 17 02:25:29 +0000 2018</td>\n",
       "      <td>PIXSiGHT</td>\n",
       "      <td>b'Getting ready is aways fun with some #mimosa...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>31753577</td>\n",
       "      <td>Sat Nov 17 02:25:12 +0000 2018</td>\n",
       "      <td>gfloreso</td>\n",
       "      <td>b\"I'm at @Pequods Pizzeria in Chicago, IL http...</td>\n",
       "      <td>41.921890</td>\n",
       "      <td>-87.664520</td>\n",
       "      <td>(41.921890000000005,-87.66452)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>456463630</td>\n",
       "      <td>Sat Nov 17 02:24:29 +0000 2018</td>\n",
       "      <td>Pjdaisy13</td>\n",
       "      <td>b'Back when you were one of my people awnasha ...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>15950511</td>\n",
       "      <td>Sat Nov 17 02:24:02 +0000 2018</td>\n",
       "      <td>pmgarcia</td>\n",
       "      <td>b\"#conceptmapping causes of fetal death #nearp...</td>\n",
       "      <td>41.895911</td>\n",
       "      <td>-87.620652</td>\n",
       "      <td>(41.8959115,-87.6206521)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>580439637</td>\n",
       "      <td>Sat Nov 17 02:23:28 +0000 2018</td>\n",
       "      <td>leemaris129</td>\n",
       "      <td>b'Wish my phone camera could capture how prett...</td>\n",
       "      <td>41.883222</td>\n",
       "      <td>-87.632496</td>\n",
       "      <td>(41.883221999999996,-87.632496)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>100376054</td>\n",
       "      <td>Sat Nov 17 02:23:20 +0000 2018</td>\n",
       "      <td>geraldmbailey</td>\n",
       "      <td>b'Playing a live set with brownbabyjesus on dr...</td>\n",
       "      <td>41.887170</td>\n",
       "      <td>-87.651840</td>\n",
       "      <td>(41.887170000000005,-87.65184)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>33880035</td>\n",
       "      <td>Sat Nov 17 02:22:55 +0000 2018</td>\n",
       "      <td>jamiefranz</td>\n",
       "      <td>b'This class act to my ?? turned 40! Happy Bir...</td>\n",
       "      <td>41.930470</td>\n",
       "      <td>-87.688230</td>\n",
       "      <td>(41.93047,-87.68823)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2797920078</td>\n",
       "      <td>Sat Nov 17 02:21:55 +0000 2018</td>\n",
       "      <td>CiderSoms</td>\n",
       "      <td>b'We?ve arrived at the rightbeecider take over...</td>\n",
       "      <td>41.932870</td>\n",
       "      <td>-87.655040</td>\n",
       "      <td>(41.93287,-87.65504)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>20450591</td>\n",
       "      <td>Sat Nov 17 02:21:42 +0000 2018</td>\n",
       "      <td>emoleechen</td>\n",
       "      <td>b\"I'm at Homeslice in Chicago, IL https://t.co...</td>\n",
       "      <td>41.921867</td>\n",
       "      <td>-87.652453</td>\n",
       "      <td>(41.92186675,-87.65245276)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>249012572</td>\n",
       "      <td>Sat Nov 17 02:19:58 +0000 2018</td>\n",
       "      <td>Sandeezy88</td>\n",
       "      <td>b'Drinking a Bourbon County Brand Coffee Barle...</td>\n",
       "      <td>41.866900</td>\n",
       "      <td>-87.646500</td>\n",
       "      <td>(41.8669,-87.6465)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>925744053223800832</td>\n",
       "      <td>Sat Nov 17 02:19:37 +0000 2018</td>\n",
       "      <td>JobsAtInsight</td>\n",
       "      <td>b\"Want to work at Insight? We're #hiring in #C...</td>\n",
       "      <td>41.878114</td>\n",
       "      <td>-87.629798</td>\n",
       "      <td>(41.8781136,-87.62979820000001)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>28103557</td>\n",
       "      <td>Sat Nov 17 02:18:42 +0000 2018</td>\n",
       "      <td>philliprabie</td>\n",
       "      <td>b'Wine, Dine, and everythings Fine...\\n#friend...</td>\n",
       "      <td>41.898150</td>\n",
       "      <td>-87.637329</td>\n",
       "      <td>(41.89815,-87.63732857)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>115 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     id                            Time             user  \\\n",
       "0              27730062  Sat Nov 17 05:51:28 +0000 2018          ibp3000   \n",
       "1             114648155  Sat Nov 17 05:50:49 +0000 2018        southlowe   \n",
       "2              91243723  Sat Nov 17 05:49:43 +0000 2018    JonathanSWest   \n",
       "3              24905463  Sat Nov 17 05:49:39 +0000 2018        ChefJoeJo   \n",
       "4             592430543  Sat Nov 17 05:48:55 +0000 2018        rmuench22   \n",
       "5              37494340  Sat Nov 17 05:48:03 +0000 2018        ChiraqQua   \n",
       "6             111993437  Sat Nov 17 05:48:02 +0000 2018         syntax72   \n",
       "7             431136327  Sat Nov 17 05:47:11 +0000 2018    SeanTierney66   \n",
       "8              18954317  Sat Nov 17 05:42:52 +0000 2018    theultimatetv   \n",
       "9            2458242680  Sat Nov 17 05:42:00 +0000 2018   TheBrewLife402   \n",
       "10            373038991  Sat Nov 17 05:38:02 +0000 2018       JanzenHanz   \n",
       "11            317998471  Sat Nov 17 05:37:56 +0000 2018    SeanCTheBrand   \n",
       "12             42632503  Sat Nov 17 05:37:20 +0000 2018   GreenEggsNSamm   \n",
       "13             17188482  Sat Nov 17 05:37:11 +0000 2018         Radha824   \n",
       "14             18954317  Sat Nov 17 05:37:09 +0000 2018    theultimatetv   \n",
       "15             51271349  Sat Nov 17 05:36:25 +0000 2018   Angelinthepits   \n",
       "16            176642704  Sat Nov 17 05:31:06 +0000 2018    SotomayorJade   \n",
       "17            362588867  Sat Nov 17 05:30:53 +0000 2018          gmingay   \n",
       "18           4549162582  Sat Nov 17 05:30:08 +0000 2018  everylotchicago   \n",
       "19             20652816  Sat Nov 17 05:26:33 +0000 2018        lilgayafg   \n",
       "20            794160156  Sat Nov 17 05:19:27 +0000 2018    bluecoconut16   \n",
       "21            902523643  Sat Nov 17 05:15:54 +0000 2018     krosschicago   \n",
       "22             20450591  Sat Nov 17 05:11:20 +0000 2018       emoleechen   \n",
       "23   882122462640656384  Sat Nov 17 05:11:15 +0000 2018     KaitstheName   \n",
       "24           4549162582  Sat Nov 17 05:10:08 +0000 2018  everylotchicago   \n",
       "25            111993437  Sat Nov 17 05:10:00 +0000 2018         syntax72   \n",
       "26             69174353  Sat Nov 17 05:09:30 +0000 2018      FRANKROB107   \n",
       "27            362588867  Sat Nov 17 05:06:59 +0000 2018          gmingay   \n",
       "28           2762115149  Sat Nov 17 05:05:53 +0000 2018       jangles308   \n",
       "29            259756781  Sat Nov 17 05:05:49 +0000 2018    shawnamphotog   \n",
       "..                  ...                             ...              ...   \n",
       "85             14665382  Sat Nov 17 02:36:12 +0000 2018       larryodean   \n",
       "86              1116311  Sat Nov 17 02:36:01 +0000 2018         bcbeatty   \n",
       "87            145469568  Sat Nov 17 02:34:24 +0000 2018        fee4three   \n",
       "88            260309337  Sat Nov 17 02:34:06 +0000 2018      timdalliday   \n",
       "89             17039396  Sat Nov 17 02:34:06 +0000 2018   JustinAAronson   \n",
       "90            249012572  Sat Nov 17 02:34:03 +0000 2018       Sandeezy88   \n",
       "91   970342743397617664  Sat Nov 17 02:32:20 +0000 2018  BrevonDarksteel   \n",
       "92           1975824030  Sat Nov 17 02:32:14 +0000 2018   Jennandherjugs   \n",
       "93            443783189  Sat Nov 17 02:31:52 +0000 2018          TFEBOSS   \n",
       "94             34136263  Sat Nov 17 02:31:05 +0000 2018          brainsc   \n",
       "95            249012572  Sat Nov 17 02:31:02 +0000 2018       Sandeezy88   \n",
       "96           2440034389  Sat Nov 17 02:30:13 +0000 2018         eleria_j   \n",
       "97           4549162582  Sat Nov 17 02:30:07 +0000 2018  everylotchicago   \n",
       "98            201144866  Sat Nov 17 02:29:41 +0000 2018    BoDiDeederRMG   \n",
       "99           2994194153  Sat Nov 17 02:27:23 +0000 2018     jason_pettus   \n",
       "100            27296789  Sat Nov 17 02:26:32 +0000 2018     BreezyAllDay   \n",
       "101            29231959  Sat Nov 17 02:26:27 +0000 2018  iamderrickstwtr   \n",
       "102           122204506  Sat Nov 17 02:26:05 +0000 2018    PrincezzAmira   \n",
       "103           114878796  Sat Nov 17 02:25:29 +0000 2018         PIXSiGHT   \n",
       "104            31753577  Sat Nov 17 02:25:12 +0000 2018         gfloreso   \n",
       "105           456463630  Sat Nov 17 02:24:29 +0000 2018        Pjdaisy13   \n",
       "106            15950511  Sat Nov 17 02:24:02 +0000 2018         pmgarcia   \n",
       "107           580439637  Sat Nov 17 02:23:28 +0000 2018      leemaris129   \n",
       "108           100376054  Sat Nov 17 02:23:20 +0000 2018    geraldmbailey   \n",
       "109            33880035  Sat Nov 17 02:22:55 +0000 2018       jamiefranz   \n",
       "110          2797920078  Sat Nov 17 02:21:55 +0000 2018        CiderSoms   \n",
       "111            20450591  Sat Nov 17 02:21:42 +0000 2018       emoleechen   \n",
       "112           249012572  Sat Nov 17 02:19:58 +0000 2018       Sandeezy88   \n",
       "113  925744053223800832  Sat Nov 17 02:19:37 +0000 2018    JobsAtInsight   \n",
       "114            28103557  Sat Nov 17 02:18:42 +0000 2018     philliprabie   \n",
       "\n",
       "                                                  text   latitude  longitude  \\\n",
       "0    b'Driving around Chicago. Listening to their h...  41.921692 -87.668659   \n",
       "1    b'I couldn?t decide. #snapseed #chicago @ Chic...  41.883222 -87.632496   \n",
       "2    b\"Why do I @choosechicago? Tonight's 105th ann...  41.883333 -87.633333   \n",
       "3    b'Just posted a photo @ Malcolm X College http...  41.877853 -87.675490   \n",
       "4    b'8 years later and I still can?t shake these ...  41.883222 -87.632496   \n",
       "5    b'Rock wit us. #RvRRadioShow #ChiraqQua #ChiCi...  41.883222 -87.632496   \n",
       "6    b'Hail Satan 666 - Drinking a Logsdon Table Br...  41.921700 -87.656200   \n",
       "7    b'KINGS WIN!!! #KingsWin #KINGSvsCHI #LAKvsCHI...  41.880599 -87.673998   \n",
       "8    b'May The Force is with You! #Chitag2018 @ Chi...  41.883222 -87.632496   \n",
       "9    b'#FOBAB - Drinking a Daisy Cutter Pale Ale by...  41.880900 -87.647000   \n",
       "10   b'It?s ? out there so I remind you to protect ...  41.883222 -87.632496   \n",
       "11   b'It?s a wrap? #SetLife Living a #Dream #MrBro...  41.885534 -87.627322   \n",
       "12   b'Rhinos make good pillows for pibbles.\\n#pitb...  41.899722 -87.650000   \n",
       "13   b'Good friends, good wine, good fun. So thankf...  41.939580 -87.663420   \n",
       "14   b'See you there!! #Chitag2018 @ Navy Pier http...  41.891690 -87.608340   \n",
       "15   b'rezz @ Official Aragon Ballroom https://t.co...  41.969303 -87.658037   \n",
       "16   b\"Showtime at Big Jims in 15 mins. Come thru n...  41.945691 -87.649250   \n",
       "17   b\"Hyped. #TurtleRacing #Chicago @ Big Joe's 2 ...  41.976222 -87.675538   \n",
       "18   b'4451 North Springfield Avenue https://t.co/V...  41.962510 -87.725070   \n",
       "19    b'Lmao I?m so awkward why do I go out in public'  41.973328 -87.668013   \n",
       "20   b'The study-at-the-bar experiment lasted for a...  41.944660 -87.654104   \n",
       "21   b'TAO taochicago Friday night........#Chicago ...  41.893449 -87.629995   \n",
       "22   b\"I'm at The James Chicago-Magnificent Mile - ...  41.893133 -87.625733   \n",
       "23   b'Mom got a new bed frame ... we got a new han...  41.883222 -87.632496   \n",
       "24   b'4459 North Springfield Avenue https://t.co/K...  41.962740 -87.725080   \n",
       "25   b'Hail Satan. - Drinking a Rohrwerker by @Pipe...  41.921700 -87.656200   \n",
       "26   b'LESS THAN AN HOUR AWAY UNTIL @windycitylive ...  41.885442 -87.628050   \n",
       "27   b\"These two. A rare sighting seeing them hangi...  41.976222 -87.675538   \n",
       "28   b'#datenight. I have an original and first @Ma...  41.956493 -87.723677   \n",
       "29   b\"Working on a few Chicago pics this weekend. ...  41.883222 -87.632496   \n",
       "..                                                 ...        ...        ...   \n",
       "85   b'Welcome back to the Folk You! stage, Tom Hen...  41.954430 -87.676530   \n",
       "86   b'#fobab - Drinking a Swimming In the Mangrove...  41.866900 -87.646500   \n",
       "87   b'Right now ! Pull up bourbonondivision #heart...  41.903470 -87.679230   \n",
       "88   b'Go Hawks Go! @ United Center https://t.co/9L...  41.880599 -87.673998   \n",
       "89   b'Drinking an Off-Black by @HopewellBrewing @ ...  41.923800 -87.698500   \n",
       "90   b'Drinking a Willettized Coffee Stout by @lagu...  41.866900 -87.646500   \n",
       "91   b'Our beautiful  view of Chicago , getting rea...  41.892000 -87.627500   \n",
       "92   b'\"Let me just say: peace to you if you\\'re wi...  41.945029 -87.690758   \n",
       "93   b\"Tonight's Cook Up ?? #StillWorking #PowerCir...  41.966384 -87.639212   \n",
       "94   b'I like your style. #FOBAB - Drinking a Blend...  41.866900 -87.646500   \n",
       "95   b'Drinking a Mind FK by @MaplewoodBeer @ FoBAB...  41.866900 -87.646500   \n",
       "96   b'the windy city @ Chicago, Illinois https://t...  41.883222 -87.632496   \n",
       "97   b'3908 West Montrose Avenue https://t.co/xIaKp...  41.961250 -87.725850   \n",
       "98   b'#linkinbio #trapfever ?? @ South Side, Chica...  41.867100 -87.621600   \n",
       "99   b'Intermission at #mst3klive here in Chicago t...  41.935453 -87.663984   \n",
       "100  b'All of this is currently at the Gala except ...  41.883222 -87.632496   \n",
       "101  b'#PurpleSkyline @ Chicago Riverwalk https://t...  41.888400 -87.618971   \n",
       "102  b'Just posted a photo @ Chicago, Illinois http...  41.883222 -87.632496   \n",
       "103  b'Getting ready is aways fun with some #mimosa...  41.883222 -87.632496   \n",
       "104  b\"I'm at @Pequods Pizzeria in Chicago, IL http...  41.921890 -87.664520   \n",
       "105  b'Back when you were one of my people awnasha ...  41.883222 -87.632496   \n",
       "106  b\"#conceptmapping causes of fetal death #nearp...  41.895911 -87.620652   \n",
       "107  b'Wish my phone camera could capture how prett...  41.883222 -87.632496   \n",
       "108  b'Playing a live set with brownbabyjesus on dr...  41.887170 -87.651840   \n",
       "109  b'This class act to my ?? turned 40! Happy Bir...  41.930470 -87.688230   \n",
       "110  b'We?ve arrived at the rightbeecider take over...  41.932870 -87.655040   \n",
       "111  b\"I'm at Homeslice in Chicago, IL https://t.co...  41.921867 -87.652453   \n",
       "112  b'Drinking a Bourbon County Brand Coffee Barle...  41.866900 -87.646500   \n",
       "113  b\"Want to work at Insight? We're #hiring in #C...  41.878114 -87.629798   \n",
       "114  b'Wine, Dine, and everythings Fine...\\n#friend...  41.898150 -87.637329   \n",
       "\n",
       "                             Location  \n",
       "0          (41.92169189,-87.66865874)  \n",
       "1     (41.883221999999996,-87.632496)  \n",
       "2          (41.88333333,-87.63333333)  \n",
       "3          (41.87785329,-87.67549038)  \n",
       "4     (41.883221999999996,-87.632496)  \n",
       "5     (41.883221999999996,-87.632496)  \n",
       "6                  (41.9217,-87.6562)  \n",
       "7          (41.88059904,-87.67399833)  \n",
       "8     (41.883221999999996,-87.632496)  \n",
       "9                   (41.8809,-87.647)  \n",
       "10    (41.883221999999996,-87.632496)  \n",
       "11         (41.88553413,-87.62732172)  \n",
       "12               (41.89972222,-87.65)  \n",
       "13               (41.93958,-87.66342)  \n",
       "14     (41.891690000000004,-87.60834)  \n",
       "15         (41.96930347,-87.65803652)  \n",
       "16   (41.945691100000005,-87.6492505)  \n",
       "17             (41.976222,-87.675538)  \n",
       "18     (41.962509999999995,-87.72507)  \n",
       "19         (41.97332764,-87.66801333)  \n",
       "20             (41.94466,-87.6541041)  \n",
       "21         (41.89344867,-87.62999475)  \n",
       "22         (41.89313254,-87.62573272)  \n",
       "23    (41.883221999999996,-87.632496)  \n",
       "24     (41.962740000000004,-87.72508)  \n",
       "25                 (41.9217,-87.6562)  \n",
       "26         (41.88544236,-87.62805026)  \n",
       "27             (41.976222,-87.675538)  \n",
       "28   (41.95649348,-87.72367709999999)  \n",
       "29    (41.883221999999996,-87.632496)  \n",
       "..                                ...  \n",
       "85               (41.95443,-87.67653)  \n",
       "86                 (41.8669,-87.6465)  \n",
       "87               (41.90347,-87.67923)  \n",
       "88         (41.88059904,-87.67399833)  \n",
       "89                 (41.9238,-87.6985)  \n",
       "90                 (41.8669,-87.6465)  \n",
       "91      (41.891999999999996,-87.6275)  \n",
       "92         (41.94502912,-87.69075804)  \n",
       "93         (41.96638353,-87.63921222)  \n",
       "94                 (41.8669,-87.6465)  \n",
       "95                 (41.8669,-87.6465)  \n",
       "96    (41.883221999999996,-87.632496)  \n",
       "97               (41.96125,-87.72585)  \n",
       "98                 (41.8671,-87.6216)  \n",
       "99         (41.93545345,-87.66398415)  \n",
       "100   (41.883221999999996,-87.632496)  \n",
       "101        (41.88840017,-87.61897076)  \n",
       "102   (41.883221999999996,-87.632496)  \n",
       "103   (41.883221999999996,-87.632496)  \n",
       "104    (41.921890000000005,-87.66452)  \n",
       "105   (41.883221999999996,-87.632496)  \n",
       "106          (41.8959115,-87.6206521)  \n",
       "107   (41.883221999999996,-87.632496)  \n",
       "108    (41.887170000000005,-87.65184)  \n",
       "109              (41.93047,-87.68823)  \n",
       "110              (41.93287,-87.65504)  \n",
       "111        (41.92186675,-87.65245276)  \n",
       "112                (41.8669,-87.6465)  \n",
       "113   (41.8781136,-87.62979820000001)  \n",
       "114           (41.89815,-87.63732857)  \n",
       "\n",
       "[115 rows x 7 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"outfile2.csv\")\n",
    "li = []\n",
    "for index,row in df.iterrows():\n",
    "    lat = \"(\"+str(row['latitude'])\n",
    "    long = str(row['longitude'])+\")\"\n",
    "    location = lat+\",\"+long\n",
    "    li.append(location)\n",
    "li\n",
    "se = pd.Series(li)\n",
    "df['Location'] = se.values\n",
    "df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from textblob import TextBlob\n",
    "li = []\n",
    "for i in df[\"text\"]:\n",
    "    analysis = TextBlob(i)\n",
    "    if analysis.sentiment.polarity > 0:\n",
    "        li.append(0)\n",
    "    elif analysis.sentiment.polarity < 0:\n",
    "        li.append(1)\n",
    "    else:\n",
    "        li.append(1)\n",
    "se = pd.Series(li)\n",
    "df['Sentiment'] = se.values\n",
    "df = df.sort_values(['Sentiment'], ascending=1)\n",
    "df.drop(labels = ['id','Time','user','Location'], inplace =True, axis = 1)\n",
    "df.to_csv(\"senti_.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x24c5cd48eb8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 540x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 525,
       "width": 535
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns \n",
    "sns.set()\n",
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from bs4 import BeautifulSoup\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem import SnowballStemmer\n",
    "from nltk.tokenize import TweetTokenizer\n",
    "\n",
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.model_selection import train_test_split, StratifiedKFold, cross_val_score\n",
    "from sklearn.pipeline import make_pipeline, Pipeline\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.metrics import make_scorer, accuracy_score, f1_score\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.metrics import confusion_matrix, roc_auc_score, recall_score, precision_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "train, test = train_test_split(df, test_size=0.2, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Anjali\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:3694: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    }
   ],
   "source": [
    "train1 = train\n",
    "test1 = test\n",
    "train1.drop(labels= ['latitude','longitude'],inplace=True,axis=1)\n",
    "test1.drop(labels= ['latitude','longitude'],inplace=True,axis=1)\n",
    "y_train = train1['Sentiment']\n",
    "y_test = test1['Sentiment']\n",
    "train1.drop(labels= ['Sentiment'],inplace=True,axis=1)\n",
    "test1.drop(labels= ['Sentiment'],inplace=True,axis=1)\n",
    "X_train = train1\n",
    "X_test = test1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Anjali\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x24c5cd07ac8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 262,
       "width": 367
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns \n",
    "sns.set()\n",
    "sns.distplot( df['Sentiment'],kde=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tokenize(text): \n",
    "    tknzr = TweetTokenizer()\n",
    "    return tknzr.tokenize(text)\n",
    "\n",
    "def stem(doc):\n",
    "    return (stemmer.stem(w) for w in analyzer(doc))\n",
    "\n",
    "en_stopwords = set(stopwords.words(\"english\")) \n",
    "\n",
    "vectorizer = CountVectorizer(\n",
    "    analyzer = 'word',\n",
    "    tokenizer = tokenize,\n",
    "    lowercase = True,\n",
    "    ngram_range=(1, 1),\n",
    "    stop_words = en_stopwords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "kfolds = StratifiedKFold(n_splits=5, shuffle=True, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(1)\n",
    "\n",
    "pipeline_svm = make_pipeline(vectorizer,SVC(probability=True, kernel=\"linear\", class_weight=\"balanced\"))\n",
    "\n",
    "grid_svm = GridSearchCV(pipeline_svm,\n",
    "                        param_grid = {'svc__C': [0.01, 0.1, 1]},\n",
    "                        cv = kfolds,\n",
    "                        scoring = \"roc_auc\",\n",
    "                        verbose=1,\n",
    "                        n_jobs=-1) \n",
    "\n",
    "grid_svm.fit(X_test, y_test)\n",
    "grid_svm.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}