Kickstarter_EDA_Cleaning.ipynb

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    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import os\n",
    "import re\n",
    "import time "
   ]
  },
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   "source": [
    "# Importing the Data\n",
    "This data was taken from the webrobots.io scrape of the kickstarter.com page. I've pulled together data from four different scrape dates (2/16, 2/17, 2/18, and 2/19) and done some initial cleaning. <br><br>For more information on the original dataset and the steps taken for data cleaning, please see the project repository of github <a href = \"https://github.com/pezLyfe/TuftsDataScience\">here</a>"
   ]
  },
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.008048772811889648 Python file\n",
      "2.142122507095337 2016Cleaned.csv 152455\n",
      "4.739030122756958 2017Cleaned.csv 327540\n",
      "7.769051790237427 2018Cleaned.csv 523154\n",
      "11.14200234413147 2019Cleaned.csv 731628\n",
      "11.150022745132446 Python file\n"
     ]
    }
   ],
   "source": [
    "start = time.time()\n",
    "df = pd.DataFrame() #Initialize a dataframe\n",
    "for filename in os.listdir(): #Create an iterator for all objects in the working directory\n",
    "    try: #I'm using try/except here because I'm lazy and didn't clean out the folder\n",
    "        df = df.append(pd.read_csv(filename), ignore_index = False) #When python finds a valid .csv file, append it\n",
    "        end = time.time()\n",
    "        print((end - start), filename, len(df)) #Print the filename and the total # of rows so far to track progress\n",
    "    except:\n",
    "        end = time.time()\n",
    "        print((end - start),'Python file') #Print some message when something is wrong    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# De-duplicating Entries\n",
    "The scraping method used by webrobots includes historical projects, so each scrape date will likely contain duplicates of previous projects\n",
    "\n",
    "Additionally, the scrape is done by searching through each sub-category in Kickstarter's organization structure. Since a project can be listed under multiple sub-categories of a single parent category, there will be mupltiple entries of the same project via this method as well. \n",
    "\n",
    "Let's determine the extent of the duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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     "text": [
      "0.8811798095703125\n"
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>backers_count</th>\n",
       "      <th>blurb</th>\n",
       "      <th>category</th>\n",
       "      <th>country</th>\n",
       "      <th>created_at</th>\n",
       "      <th>creator</th>\n",
       "      <th>currency</th>\n",
       "      <th>deadline</th>\n",
       "      <th>goal</th>\n",
       "      <th>id</th>\n",
       "      <th>...</th>\n",
       "      <th>name</th>\n",
       "      <th>pledged</th>\n",
       "      <th>slug</th>\n",
       "      <th>spotlight</th>\n",
       "      <th>staff_pick</th>\n",
       "      <th>state</th>\n",
       "      <th>state_changed_at</th>\n",
       "      <th>static_usd_rate</th>\n",
       "      <th>urls</th>\n",
       "      <th>usd_pledged</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9</td>\n",
       "      <td>Funds towards exhibiting photography at an Art...</td>\n",
       "      <td>['Conceptual Art', 'art/conceptual art']</td>\n",
       "      <td>GB</td>\n",
       "      <td>1365783741</td>\n",
       "      <td>['Interlope (Ali Farmer)', '765699764']</td>\n",
       "      <td>GBP</td>\n",
       "      <td>1368652795</td>\n",
       "      <td>300.0</td>\n",
       "      <td>64486721</td>\n",
       "      <td>...</td>\n",
       "      <td>Along The Lines Of...</td>\n",
       "      <td>300.0</td>\n",
       "      <td>along-the-lines-of</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1368652795</td>\n",
       "      <td>1.53414</td>\n",
       "      <td>https://www.kickstarter.com/projects/765699764...</td>\n",
       "      <td>460.241994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>This is Portrait of #NOW. I'm going to make a ...</td>\n",
       "      <td>['Conceptual Art', 'art/conceptual art']</td>\n",
       "      <td>US</td>\n",
       "      <td>1313619704</td>\n",
       "      <td>['Tom Schreiber', '544719087']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1314486963</td>\n",
       "      <td>500.0</td>\n",
       "      <td>755137951</td>\n",
       "      <td>...</td>\n",
       "      <td>Portrait of #NOW</td>\n",
       "      <td>595.0</td>\n",
       "      <td>portrait-of-now</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1314486965</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>https://www.kickstarter.com/projects/544719087...</td>\n",
       "      <td>595.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15</td>\n",
       "      <td>Hope, faith, superstition, expectation, disapp...</td>\n",
       "      <td>['Conceptual Art', 'art/conceptual art']</td>\n",
       "      <td>US</td>\n",
       "      <td>1352126529</td>\n",
       "      <td>['Richard Minsky', '1506051579']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1355377577</td>\n",
       "      <td>300.0</td>\n",
       "      <td>796895846</td>\n",
       "      <td>...</td>\n",
       "      <td>A Dollar and a Dream</td>\n",
       "      <td>1071.0</td>\n",
       "      <td>a-dollar-and-a-dream-0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1355377577</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>https://www.kickstarter.com/projects/150605157...</td>\n",
       "      <td>1071.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40</td>\n",
       "      <td>Sharing an interactive postal-art project with...</td>\n",
       "      <td>['Conceptual Art', 'art/conceptual art']</td>\n",
       "      <td>US</td>\n",
       "      <td>1372738515</td>\n",
       "      <td>['Yael Roberts', '70316641']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1379563140</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>2136864323</td>\n",
       "      <td>...</td>\n",
       "      <td>Correspondences: The Exhibition</td>\n",
       "      <td>1735.0</td>\n",
       "      <td>correspondences-the-exhibition</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1379563143</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>https://www.kickstarter.com/projects/yaelrober...</td>\n",
       "      <td>1735.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17</td>\n",
       "      <td>What is Utopia and who gets to decide? Is ther...</td>\n",
       "      <td>['Conceptual Art', 'art/conceptual art']</td>\n",
       "      <td>US</td>\n",
       "      <td>1360082467</td>\n",
       "      <td>['Emily L Vosburgh', '1511559983']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1363119207</td>\n",
       "      <td>750.0</td>\n",
       "      <td>989395377</td>\n",
       "      <td>...</td>\n",
       "      <td>Abstraction of Utopia</td>\n",
       "      <td>760.0</td>\n",
       "      <td>abstraction-of-utopia</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1363119208</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>https://www.kickstarter.com/projects/151155998...</td>\n",
       "      <td>760.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   backers_count                                              blurb  \\\n",
       "0              9  Funds towards exhibiting photography at an Art...   \n",
       "1              5  This is Portrait of #NOW. I'm going to make a ...   \n",
       "2             15  Hope, faith, superstition, expectation, disapp...   \n",
       "3             40  Sharing an interactive postal-art project with...   \n",
       "4             17  What is Utopia and who gets to decide? Is ther...   \n",
       "\n",
       "                                   category country  created_at  \\\n",
       "0  ['Conceptual Art', 'art/conceptual art']      GB  1365783741   \n",
       "1  ['Conceptual Art', 'art/conceptual art']      US  1313619704   \n",
       "2  ['Conceptual Art', 'art/conceptual art']      US  1352126529   \n",
       "3  ['Conceptual Art', 'art/conceptual art']      US  1372738515   \n",
       "4  ['Conceptual Art', 'art/conceptual art']      US  1360082467   \n",
       "\n",
       "                                   creator currency    deadline    goal  \\\n",
       "0  ['Interlope (Ali Farmer)', '765699764']      GBP  1368652795   300.0   \n",
       "1           ['Tom Schreiber', '544719087']      USD  1314486963   500.0   \n",
       "2         ['Richard Minsky', '1506051579']      USD  1355377577   300.0   \n",
       "3             ['Yael Roberts', '70316641']      USD  1379563140  1600.0   \n",
       "4       ['Emily L Vosburgh', '1511559983']      USD  1363119207   750.0   \n",
       "\n",
       "           id     ...                                  name pledged  \\\n",
       "0    64486721     ...                 Along The Lines Of...   300.0   \n",
       "1   755137951     ...                      Portrait of #NOW   595.0   \n",
       "2   796895846     ...                  A Dollar and a Dream  1071.0   \n",
       "3  2136864323     ...       Correspondences: The Exhibition  1735.0   \n",
       "4   989395377     ...                 Abstraction of Utopia   760.0   \n",
       "\n",
       "                             slug  spotlight staff_pick       state  \\\n",
       "0              along-the-lines-of       True      False  successful   \n",
       "1                 portrait-of-now       True      False  successful   \n",
       "2          a-dollar-and-a-dream-0       True      False  successful   \n",
       "3  correspondences-the-exhibition       True      False  successful   \n",
       "4           abstraction-of-utopia       True      False  successful   \n",
       "\n",
       "   state_changed_at static_usd_rate  \\\n",
       "0        1368652795         1.53414   \n",
       "1        1314486965         1.00000   \n",
       "2        1355377577         1.00000   \n",
       "3        1379563143         1.00000   \n",
       "4        1363119208         1.00000   \n",
       "\n",
       "                                                urls  usd_pledged  \n",
       "0  https://www.kickstarter.com/projects/765699764...   460.241994  \n",
       "1  https://www.kickstarter.com/projects/544719087...   595.000000  \n",
       "2  https://www.kickstarter.com/projects/150605157...  1071.000000  \n",
       "3  https://www.kickstarter.com/projects/yaelrober...  1735.000000  \n",
       "4  https://www.kickstarter.com/projects/151155998...   760.000000  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start = time.time()\n",
    "df.reset_index(inplace = True)\n",
    "df.drop(labels = 'Unnamed: 0', axis = 1, inplace = True)\n",
    "df.drop(labels = 'index', axis = 1, inplace = True)\n",
    "end = time.time()\n",
    "print(end - start)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "      <th>index</th>\n",
       "      <th>backers_count</th>\n",
       "      <th>blurb</th>\n",
       "      <th>category</th>\n",
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       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>731623</th>\n",
       "      <td>731623</td>\n",
       "      <td>4</td>\n",
       "      <td>An assortment of herbs, clays, salts, butters,...</td>\n",
       "      <td>['DIY', 'crafts/diy']</td>\n",
       "      <td>US</td>\n",
       "      <td>1482342519</td>\n",
       "      <td>['Amber Oliver', '1884940353']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1487702405</td>\n",
       "      <td>7600.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Monthly Herbal Boxes!</td>\n",
       "      <td>311.0</td>\n",
       "      <td>monthly-herbal-boxes</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>failed</td>\n",
       "      <td>1487702405</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>https://www.kickstarter.com/projects/188494035...</td>\n",
       "      <td>311.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731624</th>\n",
       "      <td>731624</td>\n",
       "      <td>180</td>\n",
       "      <td>A necromantic resource management brawler for ...</td>\n",
       "      <td>['Tabletop Games', 'games/tabletop games']</td>\n",
       "      <td>US</td>\n",
       "      <td>1532827661</td>\n",
       "      <td>['Archon Games', '1725571104']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1538402564</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Nexus Infernum</td>\n",
       "      <td>11355.0</td>\n",
       "      <td>nexus-infernum</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1538402564</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>https://www.kickstarter.com/projects/archongam...</td>\n",
       "      <td>11355.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731625</th>\n",
       "      <td>731625</td>\n",
       "      <td>6</td>\n",
       "      <td>KRMA radio talk show host brings current event...</td>\n",
       "      <td>['Radio &amp; Podcasts', 'publishing/radio &amp; podca...</td>\n",
       "      <td>US</td>\n",
       "      <td>1419196731</td>\n",
       "      <td>['Maggie on the Couch', '414493849']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1421867423</td>\n",
       "      <td>300.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Maggie on the Couch</td>\n",
       "      <td>328.0</td>\n",
       "      <td>maggie-on-the-couch</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1421867423</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>https://www.kickstarter.com/projects/414493849...</td>\n",
       "      <td>328.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731626</th>\n",
       "      <td>731626</td>\n",
       "      <td>39</td>\n",
       "      <td>Help turn the bestselling Darkslayer series in...</td>\n",
       "      <td>['Fiction', 'publishing/fiction']</td>\n",
       "      <td>US</td>\n",
       "      <td>1349284663</td>\n",
       "      <td>['Craig Halloran', '84206924']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1473190167</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>The Darkslayer Project: Craig Halloran Audio B...</td>\n",
       "      <td>3055.0</td>\n",
       "      <td>the-darkslayer-project-craig-halloran-audio-bo...</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1473190167</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>https://www.kickstarter.com/projects/84206924/...</td>\n",
       "      <td>3055.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731627</th>\n",
       "      <td>731627</td>\n",
       "      <td>6</td>\n",
       "      <td>Under Foot is a dance installation for all kin...</td>\n",
       "      <td>['Dance', 'dance']</td>\n",
       "      <td>GB</td>\n",
       "      <td>1357217424</td>\n",
       "      <td>['Joe Wright &amp; Laura Street', '64763158']</td>\n",
       "      <td>GBP</td>\n",
       "      <td>1362196500</td>\n",
       "      <td>100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Under Foot</td>\n",
       "      <td>100.0</td>\n",
       "      <td>under-foot-0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1362196500</td>\n",
       "      <td>1.631058</td>\n",
       "      <td>https://www.kickstarter.com/projects/64763158/...</td>\n",
       "      <td>163.105795</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         index  backers_count  \\\n",
       "731623  731623              4   \n",
       "731624  731624            180   \n",
       "731625  731625              6   \n",
       "731626  731626             39   \n",
       "731627  731627              6   \n",
       "\n",
       "                                                    blurb  \\\n",
       "731623  An assortment of herbs, clays, salts, butters,...   \n",
       "731624  A necromantic resource management brawler for ...   \n",
       "731625  KRMA radio talk show host brings current event...   \n",
       "731626  Help turn the bestselling Darkslayer series in...   \n",
       "731627  Under Foot is a dance installation for all kin...   \n",
       "\n",
       "                                                 category country  created_at  \\\n",
       "731623                              ['DIY', 'crafts/diy']      US  1482342519   \n",
       "731624         ['Tabletop Games', 'games/tabletop games']      US  1532827661   \n",
       "731625  ['Radio & Podcasts', 'publishing/radio & podca...      US  1419196731   \n",
       "731626                  ['Fiction', 'publishing/fiction']      US  1349284663   \n",
       "731627                                 ['Dance', 'dance']      GB  1357217424   \n",
       "\n",
       "                                          creator currency    deadline  \\\n",
       "731623             ['Amber Oliver', '1884940353']      USD  1487702405   \n",
       "731624             ['Archon Games', '1725571104']      USD  1538402564   \n",
       "731625       ['Maggie on the Couch', '414493849']      USD  1421867423   \n",
       "731626             ['Craig Halloran', '84206924']      USD  1473190167   \n",
       "731627  ['Joe Wright & Laura Street', '64763158']      GBP  1362196500   \n",
       "\n",
       "          goal      ...       \\\n",
       "731623  7600.0      ...        \n",
       "731624  9000.0      ...        \n",
       "731625   300.0      ...        \n",
       "731626  3000.0      ...        \n",
       "731627   100.0      ...        \n",
       "\n",
       "                                                     name  pledged  \\\n",
       "731623                              Monthly Herbal Boxes!    311.0   \n",
       "731624                                     Nexus Infernum  11355.0   \n",
       "731625                                Maggie on the Couch    328.0   \n",
       "731626  The Darkslayer Project: Craig Halloran Audio B...   3055.0   \n",
       "731627                                         Under Foot    100.0   \n",
       "\n",
       "                                                     slug spotlight  \\\n",
       "731623                               monthly-herbal-boxes     False   \n",
       "731624                                     nexus-infernum      True   \n",
       "731625                                maggie-on-the-couch      True   \n",
       "731626  the-darkslayer-project-craig-halloran-audio-bo...      True   \n",
       "731627                                       under-foot-0      True   \n",
       "\n",
       "        staff_pick       state  state_changed_at  static_usd_rate  \\\n",
       "731623       False      failed        1487702405         1.000000   \n",
       "731624       False  successful        1538402564         1.000000   \n",
       "731625       False  successful        1421867423         1.000000   \n",
       "731626       False  successful        1473190167         1.000000   \n",
       "731627       False  successful        1362196500         1.631058   \n",
       "\n",
       "                                                     urls   usd_pledged  \n",
       "731623  https://www.kickstarter.com/projects/188494035...    311.000000  \n",
       "731624  https://www.kickstarter.com/projects/archongam...  11355.000000  \n",
       "731625  https://www.kickstarter.com/projects/414493849...    328.000000  \n",
       "731626  https://www.kickstarter.com/projects/84206924/...   3055.000000  \n",
       "731627  https://www.kickstarter.com/projects/64763158/...    163.105795  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail() #Check that the indices at the end of the dataframe match as well"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "731628"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "267113 731628\n"
     ]
    }
   ],
   "source": [
    "#Compare the total number of unique values in the \"ID\" column with the number of entries in the dataframe\n",
    "print(len(df.id.value_counts()), len(df)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "267113"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = df.id.value_counts()\n",
    "uniqueIDs = np.unique(df.id.values) #make an array of the unique project ID's\n",
    "len(uniqueIDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>backers_count</th>\n",
       "      <th>blurb</th>\n",
       "      <th>category</th>\n",
       "      <th>country</th>\n",
       "      <th>created_at</th>\n",
       "      <th>creator</th>\n",
       "      <th>currency</th>\n",
       "      <th>deadline</th>\n",
       "      <th>goal</th>\n",
       "      <th>id</th>\n",
       "      <th>...</th>\n",
       "      <th>name</th>\n",
       "      <th>pledged</th>\n",
       "      <th>slug</th>\n",
       "      <th>spotlight</th>\n",
       "      <th>staff_pick</th>\n",
       "      <th>state</th>\n",
       "      <th>state_changed_at</th>\n",
       "      <th>static_usd_rate</th>\n",
       "      <th>urls</th>\n",
       "      <th>usd_pledged</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>731623</th>\n",
       "      <td>4</td>\n",
       "      <td>An assortment of herbs, clays, salts, butters,...</td>\n",
       "      <td>['DIY', 'crafts/diy']</td>\n",
       "      <td>US</td>\n",
       "      <td>1482342519</td>\n",
       "      <td>['Amber Oliver', '1884940353']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1487702405</td>\n",
       "      <td>7600.0</td>\n",
       "      <td>2054018879</td>\n",
       "      <td>...</td>\n",
       "      <td>Monthly Herbal Boxes!</td>\n",
       "      <td>311.0</td>\n",
       "      <td>monthly-herbal-boxes</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>failed</td>\n",
       "      <td>1487702405</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>https://www.kickstarter.com/projects/188494035...</td>\n",
       "      <td>311.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731624</th>\n",
       "      <td>180</td>\n",
       "      <td>A necromantic resource management brawler for ...</td>\n",
       "      <td>['Tabletop Games', 'games/tabletop games']</td>\n",
       "      <td>US</td>\n",
       "      <td>1532827661</td>\n",
       "      <td>['Archon Games', '1725571104']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1538402564</td>\n",
       "      <td>9000.0</td>\n",
       "      <td>98652640</td>\n",
       "      <td>...</td>\n",
       "      <td>Nexus Infernum</td>\n",
       "      <td>11355.0</td>\n",
       "      <td>nexus-infernum</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1538402564</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>https://www.kickstarter.com/projects/archongam...</td>\n",
       "      <td>11355.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731625</th>\n",
       "      <td>6</td>\n",
       "      <td>KRMA radio talk show host brings current event...</td>\n",
       "      <td>['Radio &amp; Podcasts', 'publishing/radio &amp; podca...</td>\n",
       "      <td>US</td>\n",
       "      <td>1419196731</td>\n",
       "      <td>['Maggie on the Couch', '414493849']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1421867423</td>\n",
       "      <td>300.0</td>\n",
       "      <td>297614288</td>\n",
       "      <td>...</td>\n",
       "      <td>Maggie on the Couch</td>\n",
       "      <td>328.0</td>\n",
       "      <td>maggie-on-the-couch</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1421867423</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>https://www.kickstarter.com/projects/414493849...</td>\n",
       "      <td>328.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731626</th>\n",
       "      <td>39</td>\n",
       "      <td>Help turn the bestselling Darkslayer series in...</td>\n",
       "      <td>['Fiction', 'publishing/fiction']</td>\n",
       "      <td>US</td>\n",
       "      <td>1349284663</td>\n",
       "      <td>['Craig Halloran', '84206924']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1473190167</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>689001578</td>\n",
       "      <td>...</td>\n",
       "      <td>The Darkslayer Project: Craig Halloran Audio B...</td>\n",
       "      <td>3055.0</td>\n",
       "      <td>the-darkslayer-project-craig-halloran-audio-bo...</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1473190167</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>https://www.kickstarter.com/projects/84206924/...</td>\n",
       "      <td>3055.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731627</th>\n",
       "      <td>6</td>\n",
       "      <td>Under Foot is a dance installation for all kin...</td>\n",
       "      <td>['Dance', 'dance']</td>\n",
       "      <td>GB</td>\n",
       "      <td>1357217424</td>\n",
       "      <td>['Joe Wright &amp; Laura Street', '64763158']</td>\n",
       "      <td>GBP</td>\n",
       "      <td>1362196500</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1019891842</td>\n",
       "      <td>...</td>\n",
       "      <td>Under Foot</td>\n",
       "      <td>100.0</td>\n",
       "      <td>under-foot-0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1362196500</td>\n",
       "      <td>1.631058</td>\n",
       "      <td>https://www.kickstarter.com/projects/64763158/...</td>\n",
       "      <td>163.105795</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        backers_count                                              blurb  \\\n",
       "731623              4  An assortment of herbs, clays, salts, butters,...   \n",
       "731624            180  A necromantic resource management brawler for ...   \n",
       "731625              6  KRMA radio talk show host brings current event...   \n",
       "731626             39  Help turn the bestselling Darkslayer series in...   \n",
       "731627              6  Under Foot is a dance installation for all kin...   \n",
       "\n",
       "                                                 category country  created_at  \\\n",
       "731623                              ['DIY', 'crafts/diy']      US  1482342519   \n",
       "731624         ['Tabletop Games', 'games/tabletop games']      US  1532827661   \n",
       "731625  ['Radio & Podcasts', 'publishing/radio & podca...      US  1419196731   \n",
       "731626                  ['Fiction', 'publishing/fiction']      US  1349284663   \n",
       "731627                                 ['Dance', 'dance']      GB  1357217424   \n",
       "\n",
       "                                          creator currency    deadline  \\\n",
       "731623             ['Amber Oliver', '1884940353']      USD  1487702405   \n",
       "731624             ['Archon Games', '1725571104']      USD  1538402564   \n",
       "731625       ['Maggie on the Couch', '414493849']      USD  1421867423   \n",
       "731626             ['Craig Halloran', '84206924']      USD  1473190167   \n",
       "731627  ['Joe Wright & Laura Street', '64763158']      GBP  1362196500   \n",
       "\n",
       "          goal          id      ...       \\\n",
       "731623  7600.0  2054018879      ...        \n",
       "731624  9000.0    98652640      ...        \n",
       "731625   300.0   297614288      ...        \n",
       "731626  3000.0   689001578      ...        \n",
       "731627   100.0  1019891842      ...        \n",
       "\n",
       "                                                     name  pledged  \\\n",
       "731623                              Monthly Herbal Boxes!    311.0   \n",
       "731624                                     Nexus Infernum  11355.0   \n",
       "731625                                Maggie on the Couch    328.0   \n",
       "731626  The Darkslayer Project: Craig Halloran Audio B...   3055.0   \n",
       "731627                                         Under Foot    100.0   \n",
       "\n",
       "                                                     slug  spotlight  \\\n",
       "731623                               monthly-herbal-boxes      False   \n",
       "731624                                     nexus-infernum       True   \n",
       "731625                                maggie-on-the-couch       True   \n",
       "731626  the-darkslayer-project-craig-halloran-audio-bo...       True   \n",
       "731627                                       under-foot-0       True   \n",
       "\n",
       "       staff_pick       state  state_changed_at static_usd_rate  \\\n",
       "731623      False      failed        1487702405        1.000000   \n",
       "731624      False  successful        1538402564        1.000000   \n",
       "731625      False  successful        1421867423        1.000000   \n",
       "731626      False  successful        1473190167        1.000000   \n",
       "731627      False  successful        1362196500        1.631058   \n",
       "\n",
       "                                                     urls   usd_pledged  \n",
       "731623  https://www.kickstarter.com/projects/188494035...    311.000000  \n",
       "731624  https://www.kickstarter.com/projects/archongam...  11355.000000  \n",
       "731625  https://www.kickstarter.com/projects/414493849...    328.000000  \n",
       "731626  https://www.kickstarter.com/projects/84206924/...   3055.000000  \n",
       "731627  https://www.kickstarter.com/projects/64763158/...    163.105795  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = df.copy()\n",
    "a.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'a' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-11cfd0d849a3>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0ma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'a' is not defined"
     ]
    }
   ],
   "source": [
    "a.loc[0][:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "1.181581974029541\n"
     ]
    }
   ],
   "source": [
    "#Drop items from A on each iteration, this should speed up the execution time\n",
    "start = time.time()\n",
    "a = df.copy()\n",
    "b = pd.DataFrame()\n",
    "dupMask = pd.DataFrame()\n",
    "for i in range(100):\n",
    "    zMask = a.id == uniqueIDs[i]\n",
    "    z = a[zMask]\n",
    "    b = b.append(z.iloc[0][:])\n",
    "    print(i, len(a))\n",
    "end = time.time()\n",
    "print (end - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.07365965843200684 0 1\n",
      "0.21155858039855957 1 2\n",
      "0.2837505340576172 2 3\n",
      "0.3619554042816162 3 4\n",
      "0.4321415424346924 4 5\n",
      "0.5063402652740479 5 6\n",
      "0.6056022644042969 6 7\n",
      "0.6948399543762207 7 8\n",
      "0.779064416885376 8 9\n",
      "0.8823387622833252 9 10\n",
      "1.0096173286437988 10 11\n",
      "1.116398572921753 11 12\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-25-dfaa345e89de>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     10\u001b[0m     \u001b[0mpledged\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mz\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'pledged'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     11\u001b[0m     \u001b[0mb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mz\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 12\u001b[1;33m     \u001b[0maaMask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'id'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mnumber\u001b[0m \u001b[1;33m&\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'category'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mcat\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m|\u001b[0m \u001b[1;33m~\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'pledged'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mpledged\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     13\u001b[0m     \u001b[0maa\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0maaMask\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     14\u001b[0m     \u001b[0mb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maa\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mignore_index\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(self, other, axis)\u001b[0m\n\u001b[0;32m   1281\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1282\u001b[0m             \u001b[1;32mwith\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0merrstate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mall\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'ignore'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1283\u001b[1;33m                 \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mna_op\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mother\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1284\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mres\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1285\u001b[0m                 raise TypeError('Could not compare {typ} type with Series'\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mna_op\u001b[1;34m(x, y)\u001b[0m\n\u001b[0;32m   1141\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1142\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0mis_object_dtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1143\u001b[1;33m             \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_comp_method_OBJECT_ARRAY\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1144\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1145\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0mis_datetimelike_v_numeric\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "a = df.copy()\n",
    "b = pd.DataFrame()\n",
    "dupMask = pd.DataFrame()\n",
    "start = time.time()\n",
    "for i in range(3000):\n",
    "    zMask = a.id == uniqueIDs[i]\n",
    "    z = a[zMask]\n",
    "    number = z.iloc[0]['id']\n",
    "    cat = z.iloc[0]['category']\n",
    "    pledged = z.iloc[0]['pledged']\n",
    "    b = b.append(z.iloc[0][:])\n",
    "    aaMask = a['id'] == number & ((a['category'] != cat) | ~(a['pledged'] != pledged))\n",
    "    aa = a[aaMask]\n",
    "    b = b.append(aa, ignore_index = True)\n",
    "    #a.drop(z.index[:], inplace = True)\n",
    "    end = time.time()\n",
    "    print((end - start),i, len(b))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "unsupported operand type(s) for &: 'str' and 'bool'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mna_op\u001b[1;34m(x, y)\u001b[0m\n\u001b[0;32m   1303\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1304\u001b[1;33m             \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1305\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for &: 'float' and 'bool'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-182-6bcf3cd22000>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mbigMask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcategory\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mdupMask\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mCategory\u001b[0m \u001b[1;33m&\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpledged\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mdupMask\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPledged\u001b[0m \u001b[1;33m&\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mid\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mdupMask\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mNumber\u001b[0m \u001b[1;33m&\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mdupMask\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mIndices\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mdeDuped\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mbigMask\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m   1348\u001b[0m                       else fill_bool)\n\u001b[0;32m   1349\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1350\u001b[1;33m             \u001b[0mres_values\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mna_op\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mother\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1351\u001b[0m             unfilled = self._constructor(res_values,\n\u001b[0;32m   1352\u001b[0m                                          index=self.index, name=name)\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\ops.py\u001b[0m in \u001b[0;36mna_op\u001b[1;34m(x, y)\u001b[0m\n\u001b[0;32m   1313\u001b[0m                     \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_ensure_object\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1314\u001b[0m                     \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_ensure_object\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1315\u001b[1;33m                     \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlibops\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvec_binop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1316\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1317\u001b[0m                 \u001b[1;31m# let null fall thru\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\ops.pyx\u001b[0m in \u001b[0;36mpandas._libs.ops.vec_binop\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\ops.pyx\u001b[0m in \u001b[0;36mpandas._libs.ops.vec_binop\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for &: 'str' and 'bool'"
     ]
    }
   ],
   "source": [
    "bigMask = df.category == dupMask.Category & df.pledged == dupMask.Pledged & df.id == dupMask.Number & df.index != dupMask.Indices\n",
    "deDuped = a[bigMask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "deduped.to_csv('deDupedMaybe?', sep = ',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-174-4ddbcaf6f0da>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      6\u001b[0m         \u001b[0mfirstIndex\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mz\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mj\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mz\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mj\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'category'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mz\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mj\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'category'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mz\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mj\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'pledged'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mz\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mj\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'pledged'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m             \u001b[0ma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mfirstIndex\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minplace\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      9\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36mdrop\u001b[1;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[0;32m   3695\u001b[0m                                            \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3696\u001b[0m                                            \u001b[0mlevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minplace\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minplace\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3697\u001b[1;33m                                            errors=errors)\n\u001b[0m\u001b[0;32m   3698\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3699\u001b[0m     @rewrite_axis_style_signature('mapper', [('copy', True),\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36mdrop\u001b[1;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[0;32m   3109\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabels\u001b[0m \u001b[1;32min\u001b[0m \u001b[0maxes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3110\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mlabels\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3111\u001b[1;33m                 \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_drop_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3112\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3113\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0minplace\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m_drop_axis\u001b[1;34m(self, labels, axis, level, errors)\u001b[0m\n\u001b[0;32m   3142\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3143\u001b[0m                 \u001b[0mnew_axis\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3144\u001b[1;33m             \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0maxis_name\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mnew_axis\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3145\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3146\u001b[0m         \u001b[1;31m# Case for non-unique axis\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\util\\_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    185\u001b[0m         \u001b[1;33m@\u001b[0m\u001b[0mwraps\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    186\u001b[0m         \u001b[1;32mdef\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 187\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    188\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    189\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mPY2\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36mreindex\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m   3564\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'axis'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3565\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'labels'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3566\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3567\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3568\u001b[0m     \u001b[1;33m@\u001b[0m\u001b[0mAppender\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_shared_docs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'reindex_axis'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0m_shared_doc_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36mreindex\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m   3687\u001b[0m         \u001b[1;31m# perform the reindex on the axes\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3688\u001b[0m         return self._reindex_axes(axes, level, limit, tolerance, method,\n\u001b[1;32m-> 3689\u001b[1;33m                                   fill_value, copy).__finalize__(self)\n\u001b[0m\u001b[0;32m   3690\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3691\u001b[0m     def _reindex_axes(self, axes, level, limit, tolerance, method, fill_value,\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_reindex_axes\u001b[1;34m(self, axes, level, limit, tolerance, method, fill_value, copy)\u001b[0m\n\u001b[0;32m   3499\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mindex\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3500\u001b[0m             frame = frame._reindex_index(index, method, copy, level,\n\u001b[1;32m-> 3501\u001b[1;33m                                          fill_value, limit, tolerance)\n\u001b[0m\u001b[0;32m   3502\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3503\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mframe\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_reindex_index\u001b[1;34m(self, new_index, method, copy, level, fill_value, limit, tolerance)\u001b[0m\n\u001b[0;32m   3510\u001b[0m         return self._reindex_with_indexers({0: [new_index, indexer]},\n\u001b[0;32m   3511\u001b[0m                                            \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfill_value\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfill_value\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3512\u001b[1;33m                                            allow_dups=False)\n\u001b[0m\u001b[0;32m   3513\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3514\u001b[0m     def _reindex_columns(self, new_columns, method, copy, level,\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m_reindex_with_indexers\u001b[1;34m(self, reindexers, fill_value, copy, allow_dups)\u001b[0m\n\u001b[0;32m   3808\u001b[0m                                                 \u001b[0mfill_value\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfill_value\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3809\u001b[0m                                                 \u001b[0mallow_dups\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mallow_dups\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3810\u001b[1;33m                                                 copy=copy)\n\u001b[0m\u001b[0;32m   3811\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3812\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mcopy\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mnew_data\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36mreindex_indexer\u001b[1;34m(self, new_axis, indexer, axis, fill_value, allow_dups, copy)\u001b[0m\n\u001b[0;32m   4423\u001b[0m             new_blocks = [blk.take_nd(indexer, axis=axis, fill_tuple=(\n\u001b[0;32m   4424\u001b[0m                 fill_value if fill_value is not None else blk.fill_value,))\n\u001b[1;32m-> 4425\u001b[1;33m                 for blk in self.blocks]\n\u001b[0m\u001b[0;32m   4426\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4427\u001b[0m         \u001b[0mnew_axes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m   4423\u001b[0m             new_blocks = [blk.take_nd(indexer, axis=axis, fill_tuple=(\n\u001b[0;32m   4424\u001b[0m                 fill_value if fill_value is not None else blk.fill_value,))\n\u001b[1;32m-> 4425\u001b[1;33m                 for blk in self.blocks]\n\u001b[0m\u001b[0;32m   4426\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4427\u001b[0m         \u001b[0mnew_axes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36mtake_nd\u001b[1;34m(self, indexer, axis, new_mgr_locs, fill_tuple)\u001b[0m\n\u001b[0;32m   1256\u001b[0m             \u001b[0mfill_value\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfill_tuple\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1257\u001b[0m             new_values = algos.take_nd(values, indexer, axis=axis,\n\u001b[1;32m-> 1258\u001b[1;33m                                        allow_fill=True, fill_value=fill_value)\n\u001b[0m\u001b[0;32m   1259\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1260\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mnew_mgr_locs\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "a = df.copy()\n",
    "for i in range(len(uniqueIDs)):\n",
    "    zMask = a.id == uniqueIDs[i]\n",
    "    z = a[zMask]\n",
    "    for j in range(len(z)-1):\n",
    "        firstIndex = z.index[j]\n",
    "        if z.iloc[j]['category'] == z.iloc[j+1]['category'] and z.iloc[j]['pledged'] == z.iloc[j+1]['pledged']:\n",
    "            a.drop([firstIndex], axis = 0, inplace = True)\n",
    "    print(i, len(a))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "731608"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>backers_count</th>\n",
       "      <th>blurb</th>\n",
       "      <th>category</th>\n",
       "      <th>country</th>\n",
       "      <th>created_at</th>\n",
       "      <th>creator</th>\n",
       "      <th>currency</th>\n",
       "      <th>deadline</th>\n",
       "      <th>goal</th>\n",
       "      <th>...</th>\n",
       "      <th>name</th>\n",
       "      <th>pledged</th>\n",
       "      <th>slug</th>\n",
       "      <th>spotlight</th>\n",
       "      <th>staff_pick</th>\n",
       "      <th>state</th>\n",
       "      <th>state_changed_at</th>\n",
       "      <th>static_usd_rate</th>\n",
       "      <th>urls</th>\n",
       "      <th>usd_pledged</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>97928</th>\n",
       "      <td>97928</td>\n",
       "      <td>79</td>\n",
       "      <td>These teens have worked hard to bring out thei...</td>\n",
       "      <td>['Indie Rock', 'music/indie rock']</td>\n",
       "      <td>US</td>\n",
       "      <td>1357440464</td>\n",
       "      <td>['Aaron Thomas', '1824481488']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1360514977</td>\n",
       "      <td>1450.0</td>\n",
       "      <td>...</td>\n",
       "      <td>North Eugene High School Ukulele Orchestra's F...</td>\n",
       "      <td>1593.99</td>\n",
       "      <td>north-eugene-high-school-ukulele-orchestras-first</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>successful</td>\n",
       "      <td>1360514978</td>\n",
       "      <td>1.0</td>\n",
       "      <td>https://www.kickstarter.com/projects/nehsukes/...</td>\n",
       "      <td>1593.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61842</th>\n",
       "      <td>61842</td>\n",
       "      <td>79</td>\n",
       "      <td>These teens have worked hard to bring out thei...</td>\n",
       "      <td>['Indie Rock', 'music/indie rock']</td>\n",
       "      <td>US</td>\n",
       "      <td>1357440464</td>\n",
       "      <td>['Aaron Thomas', '1824481488']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1360514977</td>\n",
       "      <td>1450.0</td>\n",
       "      <td>...</td>\n",
       "      <td>North Eugene High School Ukulele Orchestra's F...</td>\n",
       "      <td>1593.99</td>\n",
       "      <td>north-eugene-high-school-ukulele-orchestras-first</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>successful</td>\n",
       "      <td>1360514978</td>\n",
       "      <td>1.0</td>\n",
       "      <td>https://www.kickstarter.com/projects/nehsukes/...</td>\n",
       "      <td>1593.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132587</th>\n",
       "      <td>132587</td>\n",
       "      <td>79</td>\n",
       "      <td>These teens have worked hard to bring out thei...</td>\n",
       "      <td>['Indie Rock', 'music/indie rock']</td>\n",
       "      <td>US</td>\n",
       "      <td>1357440464</td>\n",
       "      <td>['Aaron Thomas', '1824481488']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1360514977</td>\n",
       "      <td>1450.0</td>\n",
       "      <td>...</td>\n",
       "      <td>North Eugene High School Ukulele Orchestra's F...</td>\n",
       "      <td>1593.99</td>\n",
       "      <td>north-eugene-high-school-ukulele-orchestras-first</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>successful</td>\n",
       "      <td>1360514978</td>\n",
       "      <td>1.0</td>\n",
       "      <td>https://www.kickstarter.com/projects/nehsukes/...</td>\n",
       "      <td>1593.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35623</th>\n",
       "      <td>35623</td>\n",
       "      <td>79</td>\n",
       "      <td>These teens have worked hard to bring out thei...</td>\n",
       "      <td>['Indie Rock', 'music/indie rock']</td>\n",
       "      <td>US</td>\n",
       "      <td>1357440464</td>\n",
       "      <td>['Aaron Thomas', '1824481488']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1360514977</td>\n",
       "      <td>1450.0</td>\n",
       "      <td>...</td>\n",
       "      <td>North Eugene High School Ukulele Orchestra's F...</td>\n",
       "      <td>1593.99</td>\n",
       "      <td>north-eugene-high-school-ukulele-orchestras-first</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>successful</td>\n",
       "      <td>1360514978</td>\n",
       "      <td>1.0</td>\n",
       "      <td>https://www.kickstarter.com/projects/nehsukes/...</td>\n",
       "      <td>1593.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0  backers_count  \\\n",
       "97928        97928             79   \n",
       "61842        61842             79   \n",
       "132587      132587             79   \n",
       "35623        35623             79   \n",
       "\n",
       "                                                    blurb  \\\n",
       "97928   These teens have worked hard to bring out thei...   \n",
       "61842   These teens have worked hard to bring out thei...   \n",
       "132587  These teens have worked hard to bring out thei...   \n",
       "35623   These teens have worked hard to bring out thei...   \n",
       "\n",
       "                                  category country  created_at  \\\n",
       "97928   ['Indie Rock', 'music/indie rock']      US  1357440464   \n",
       "61842   ['Indie Rock', 'music/indie rock']      US  1357440464   \n",
       "132587  ['Indie Rock', 'music/indie rock']      US  1357440464   \n",
       "35623   ['Indie Rock', 'music/indie rock']      US  1357440464   \n",
       "\n",
       "                               creator currency    deadline    goal  \\\n",
       "97928   ['Aaron Thomas', '1824481488']      USD  1360514977  1450.0   \n",
       "61842   ['Aaron Thomas', '1824481488']      USD  1360514977  1450.0   \n",
       "132587  ['Aaron Thomas', '1824481488']      USD  1360514977  1450.0   \n",
       "35623   ['Aaron Thomas', '1824481488']      USD  1360514977  1450.0   \n",
       "\n",
       "           ...                                                    name  \\\n",
       "97928      ...       North Eugene High School Ukulele Orchestra's F...   \n",
       "61842      ...       North Eugene High School Ukulele Orchestra's F...   \n",
       "132587     ...       North Eugene High School Ukulele Orchestra's F...   \n",
       "35623      ...       North Eugene High School Ukulele Orchestra's F...   \n",
       "\n",
       "        pledged                                               slug spotlight  \\\n",
       "97928   1593.99  north-eugene-high-school-ukulele-orchestras-first      True   \n",
       "61842   1593.99  north-eugene-high-school-ukulele-orchestras-first      True   \n",
       "132587  1593.99  north-eugene-high-school-ukulele-orchestras-first      True   \n",
       "35623   1593.99  north-eugene-high-school-ukulele-orchestras-first      True   \n",
       "\n",
       "        staff_pick       state  state_changed_at  static_usd_rate  \\\n",
       "97928         True  successful        1360514978              1.0   \n",
       "61842         True  successful        1360514978              1.0   \n",
       "132587        True  successful        1360514978              1.0   \n",
       "35623         True  successful        1360514978              1.0   \n",
       "\n",
       "                                                     urls  usd_pledged  \n",
       "97928   https://www.kickstarter.com/projects/nehsukes/...      1593.99  \n",
       "61842   https://www.kickstarter.com/projects/nehsukes/...      1593.99  \n",
       "132587  https://www.kickstarter.com/projects/nehsukes/...      1593.99  \n",
       "35623   https://www.kickstarter.com/projects/nehsukes/...      1593.99  \n",
       "\n",
       "[4 rows x 23 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exampleMask = df['id'] == 197154\n",
    "example = df[exampleMask]\n",
    "example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
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       " ...}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicateID = []\n",
    "for i in len(df):\n",
    "    \n",
    "\n",
    "grouped = df.groupby(\"id\")\n",
    "grouped.groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>backers_count</th>\n",
       "      <th>blurb</th>\n",
       "      <th>category</th>\n",
       "      <th>country</th>\n",
       "      <th>created_at</th>\n",
       "      <th>creator</th>\n",
       "      <th>currency</th>\n",
       "      <th>deadline</th>\n",
       "      <th>goal</th>\n",
       "      <th>id</th>\n",
       "      <th>...</th>\n",
       "      <th>name</th>\n",
       "      <th>pledged</th>\n",
       "      <th>slug</th>\n",
       "      <th>spotlight</th>\n",
       "      <th>staff_pick</th>\n",
       "      <th>state</th>\n",
       "      <th>state_changed_at</th>\n",
       "      <th>static_usd_rate</th>\n",
       "      <th>urls</th>\n",
       "      <th>usd_pledged</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9</td>\n",
       "      <td>Funds towards exhibiting photography at an Art...</td>\n",
       "      <td>['Conceptual Art', 'art/conceptual art']</td>\n",
       "      <td>GB</td>\n",
       "      <td>1365783741</td>\n",
       "      <td>['Interlope (Ali Farmer)', '765699764']</td>\n",
       "      <td>GBP</td>\n",
       "      <td>1368652795</td>\n",
       "      <td>300.0</td>\n",
       "      <td>64486721</td>\n",
       "      <td>...</td>\n",
       "      <td>Along The Lines Of...</td>\n",
       "      <td>300.0</td>\n",
       "      <td>along-the-lines-of</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1368652795</td>\n",
       "      <td>1.53414</td>\n",
       "      <td>https://www.kickstarter.com/projects/765699764...</td>\n",
       "      <td>460.241994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>This is Portrait of #NOW. I'm going to make a ...</td>\n",
       "      <td>['Conceptual Art', 'art/conceptual art']</td>\n",
       "      <td>US</td>\n",
       "      <td>1313619704</td>\n",
       "      <td>['Tom Schreiber', '544719087']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1314486963</td>\n",
       "      <td>500.0</td>\n",
       "      <td>755137951</td>\n",
       "      <td>...</td>\n",
       "      <td>Portrait of #NOW</td>\n",
       "      <td>595.0</td>\n",
       "      <td>portrait-of-now</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1314486965</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>https://www.kickstarter.com/projects/544719087...</td>\n",
       "      <td>595.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15</td>\n",
       "      <td>Hope, faith, superstition, expectation, disapp...</td>\n",
       "      <td>['Conceptual Art', 'art/conceptual art']</td>\n",
       "      <td>US</td>\n",
       "      <td>1352126529</td>\n",
       "      <td>['Richard Minsky', '1506051579']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1355377577</td>\n",
       "      <td>300.0</td>\n",
       "      <td>796895846</td>\n",
       "      <td>...</td>\n",
       "      <td>A Dollar and a Dream</td>\n",
       "      <td>1071.0</td>\n",
       "      <td>a-dollar-and-a-dream-0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1355377577</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>https://www.kickstarter.com/projects/150605157...</td>\n",
       "      <td>1071.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40</td>\n",
       "      <td>Sharing an interactive postal-art project with...</td>\n",
       "      <td>['Conceptual Art', 'art/conceptual art']</td>\n",
       "      <td>US</td>\n",
       "      <td>1372738515</td>\n",
       "      <td>['Yael Roberts', '70316641']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1379563140</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>2136864323</td>\n",
       "      <td>...</td>\n",
       "      <td>Correspondences: The Exhibition</td>\n",
       "      <td>1735.0</td>\n",
       "      <td>correspondences-the-exhibition</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1379563143</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>https://www.kickstarter.com/projects/yaelrober...</td>\n",
       "      <td>1735.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17</td>\n",
       "      <td>What is Utopia and who gets to decide? Is ther...</td>\n",
       "      <td>['Conceptual Art', 'art/conceptual art']</td>\n",
       "      <td>US</td>\n",
       "      <td>1360082467</td>\n",
       "      <td>['Emily L Vosburgh', '1511559983']</td>\n",
       "      <td>USD</td>\n",
       "      <td>1363119207</td>\n",
       "      <td>750.0</td>\n",
       "      <td>989395377</td>\n",
       "      <td>...</td>\n",
       "      <td>Abstraction of Utopia</td>\n",
       "      <td>760.0</td>\n",
       "      <td>abstraction-of-utopia</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>successful</td>\n",
       "      <td>1363119208</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>https://www.kickstarter.com/projects/151155998...</td>\n",
       "      <td>760.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   backers_count                                              blurb  \\\n",
       "0              9  Funds towards exhibiting photography at an Art...   \n",
       "1              5  This is Portrait of #NOW. I'm going to make a ...   \n",
       "2             15  Hope, faith, superstition, expectation, disapp...   \n",
       "3             40  Sharing an interactive postal-art project with...   \n",
       "4             17  What is Utopia and who gets to decide? Is ther...   \n",
       "\n",
       "                                   category country  created_at  \\\n",
       "0  ['Conceptual Art', 'art/conceptual art']      GB  1365783741   \n",
       "1  ['Conceptual Art', 'art/conceptual art']      US  1313619704   \n",
       "2  ['Conceptual Art', 'art/conceptual art']      US  1352126529   \n",
       "3  ['Conceptual Art', 'art/conceptual art']      US  1372738515   \n",
       "4  ['Conceptual Art', 'art/conceptual art']      US  1360082467   \n",
       "\n",
       "                                   creator currency    deadline    goal  \\\n",
       "0  ['Interlope (Ali Farmer)', '765699764']      GBP  1368652795   300.0   \n",
       "1           ['Tom Schreiber', '544719087']      USD  1314486963   500.0   \n",
       "2         ['Richard Minsky', '1506051579']      USD  1355377577   300.0   \n",
       "3             ['Yael Roberts', '70316641']      USD  1379563140  1600.0   \n",
       "4       ['Emily L Vosburgh', '1511559983']      USD  1363119207   750.0   \n",
       "\n",
       "           id     ...                                  name pledged  \\\n",
       "0    64486721     ...                 Along The Lines Of...   300.0   \n",
       "1   755137951     ...                      Portrait of #NOW   595.0   \n",
       "2   796895846     ...                  A Dollar and a Dream  1071.0   \n",
       "3  2136864323     ...       Correspondences: The Exhibition  1735.0   \n",
       "4   989395377     ...                 Abstraction of Utopia   760.0   \n",
       "\n",
       "                             slug  spotlight staff_pick       state  \\\n",
       "0              along-the-lines-of       True      False  successful   \n",
       "1                 portrait-of-now       True      False  successful   \n",
       "2          a-dollar-and-a-dream-0       True      False  successful   \n",
       "3  correspondences-the-exhibition       True      False  successful   \n",
       "4           abstraction-of-utopia       True      False  successful   \n",
       "\n",
       "   state_changed_at static_usd_rate  \\\n",
       "0        1368652795         1.53414   \n",
       "1        1314486965         1.00000   \n",
       "2        1355377577         1.00000   \n",
       "3        1379563143         1.00000   \n",
       "4        1363119208         1.00000   \n",
       "\n",
       "                                                urls  usd_pledged  \n",
       "0  https://www.kickstarter.com/projects/765699764...   460.241994  \n",
       "1  https://www.kickstarter.com/projects/544719087...   595.000000  \n",
       "2  https://www.kickstarter.com/projects/150605157...  1071.000000  \n",
       "3  https://www.kickstarter.com/projects/yaelrober...  1735.000000  \n",
       "4  https://www.kickstarter.com/projects/151155998...   760.000000  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Succesful =  363492 Spotlighted = 363492 Staff Picks = 79168 93579\n",
      "P-general =  0.4968262559661467 P-Spotlight =  0.4968262559661467 P-Staff Picks =  0.8460017739022644 P-Picked for Staff =  0.1279051649198773\n"
     ]
    }
   ],
   "source": [
    "successFrame = a[a['state'] == 'successful']\n",
    "spotFrame = a[(a['spotlight'] == True) & (a['state'] == 'successful')]\n",
    "staFrame = a[a['staff_pick'] == True]\n",
    "staSucFrame = a[(a['staff_pick'] == True) & (a['state'] == 'successful')]\n",
    "print('Succesful = ',len(successFrame), 'Spotlighted =', len(spotFrame), 'Staff Picks =', len(staSucFrame), len(staFrame))\n",
    "pGen = len(successFrame)/len(a)\n",
    "pSpot = len(spotFrame)/len(a)\n",
    "pStaff = len(staSucFrame)/len(staFrame)\n",
    "pPicked = len(staFrame)/len(a)\n",
    "print('P-general = ', pGen,\n",
    "     'P-Spotlight = ', pSpot,\n",
    "     'P-Staff Picks = ', pStaff,\n",
    "     'P-Picked for Staff = ', pPicked)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Succesful =  363492 Spotlighted = 363492 Staff Picks = 79168 92267\n",
      "P-general =  0.5252182557457397 P-Spotlight =  0.5252182557457397 P-Staff Picks =  0.8580315822558444 P-Picked for Staff =  0.1333187877666968\n"
     ]
    }
   ],
   "source": [
    "canFrame = a[~((a['state'] == 'canceled') | (a['state'] == 'active')) ]\n",
    "successFrame = canFrame[canFrame['state'] == 'successful']\n",
    "spotFrame = canFrame[(canFrame['spotlight'] == True) & (canFrame['state'] == 'successful')]\n",
    "staFrame = canFrame[canFrame['staff_pick'] == True]\n",
    "staSucFrame = canFrame[(canFrame['staff_pick'] == True) & (canFrame['state'] == 'successful')]\n",
    "print('Succesful = ',len(successFrame), 'Spotlighted =', len(spotFrame), 'Staff Picks =', len(staSucFrame), len(staFrame))\n",
    "pGen = len(successFrame)/len(canFrame)\n",
    "pSpot = len(spotFrame)/len(canFrame)\n",
    "pStaff = len(staSucFrame)/len(staFrame)\n",
    "pPicked = len(staFrame)/len(canFrame)\n",
    "print('P-general = ', pGen,\n",
    "     'P-Spotlight = ', pSpot,\n",
    "     'P-Staff Picks = ', pStaff,\n",
    "     'P-Picked for Staff = ', pPicked)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x0000006764407B70>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist('goal', bins = 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sortbyPrice = df.sort_values('converted_pledged_amount', axis = 0, ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = [1000, 3000, 7000, 15000, 50000, 150000, 1000000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sortbyPrice.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "\"['converted_pledged_amount'] not in index\"",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-9-ddbb32f93add>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'converted_pledged_amount'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbins\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbins\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\plotting\\_core.py\u001b[0m in \u001b[0;36mhist_frame\u001b[1;34m(data, column, by, grid, xlabelsize, xrot, ylabelsize, yrot, ax, sharex, sharey, figsize, layout, bins, **kwds)\u001b[0m\n\u001b[0;32m   2400\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcolumn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mlist\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mIndex\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2401\u001b[0m             \u001b[0mcolumn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mcolumn\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2402\u001b[1;33m         \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcolumn\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2403\u001b[0m     \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_numeric_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2404\u001b[0m     \u001b[0mnaxes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   2680\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mSeries\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mIndex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2681\u001b[0m             \u001b[1;31m# either boolean or fancy integer index\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2682\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_array\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2683\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mDataFrame\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2684\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_frame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_getitem_array\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   2724\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_take\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2725\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2726\u001b[1;33m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_convert_to_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2727\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_take\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2728\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_convert_to_indexer\u001b[1;34m(self, obj, axis, is_setter)\u001b[0m\n\u001b[0;32m   1325\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0mmask\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0many\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1326\u001b[0m                     raise KeyError('{mask} not in index'\n\u001b[1;32m-> 1327\u001b[1;33m                                    .format(mask=objarr[mask]))\n\u001b[0m\u001b[0;32m   1328\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1329\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_values_from_object\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: \"['converted_pledged_amount'] not in index\""
     ]
    }
   ],
   "source": [
    "df.hist('converted_pledged_amount', bins = bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpl.pyplot.scatter(df['converted_pledged_amount'], df['backers_count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpl.pyplot.boxplot(mergedData['converted_pledged_amount'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x1a194067f0>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>backers_count</th>\n",
       "      <th>blurb</th>\n",
       "      <th>category</th>\n",
       "      <th>converted_pledged_amount</th>\n",
       "      <th>country</th>\n",
       "      <th>created_at</th>\n",
       "      <th>creator</th>\n",
       "      <th>currency</th>\n",
       "      <th>currency_symbol</th>\n",
       "      <th>...</th>\n",
       "      <th>slug</th>\n",
       "      <th>source_url</th>\n",
       "      <th>spotlight</th>\n",
       "      <th>staff_pick</th>\n",
       "      <th>state</th>\n",
       "      <th>state_changed_at</th>\n",
       "      <th>static_usd_rate</th>\n",
       "      <th>urls</th>\n",
       "      <th>usd_pledged</th>\n",
       "      <th>usd_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>NaN</td>\n",
       "      <td>68929.0</td>\n",
       "      <td>Pebble is a customizable watch. Download new w...</td>\n",
       "      <td>{\"id\":28,\"name\":\"Product Design\",\"slug\":\"desig...</td>\n",
       "      <td>10266845.0</td>\n",
       "      <td>US</td>\n",
       "      <td>1.332451e+09</td>\n",
       "      <td>{\"id\":597507018,\"name\":\"Pebble Technology\",\"sl...</td>\n",
       "      <td>USD</td>\n",
       "      <td>$</td>\n",
       "      <td>...</td>\n",
       "      <td>pebble-e-paper-watch-for-iphone-and-android</td>\n",
       "      <td>https://www.kickstarter.com/discover/categorie...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>successful</td>\n",
       "      <td>1.337396e+09</td>\n",
       "      <td>1.0</td>\n",
       "      <td>{\"web\":{\"project\":\"https://www.kickstarter.com...</td>\n",
       "      <td>10266845.74</td>\n",
       "      <td>domestic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1651</th>\n",
       "      <td>NaN</td>\n",
       "      <td>68929.0</td>\n",
       "      <td>Pebble is a customizable watch. Download new w...</td>\n",
       "      <td>{\"id\":28,\"name\":\"Product Design\",\"slug\":\"desig...</td>\n",
       "      <td>10266845.0</td>\n",
       "      <td>US</td>\n",
       "      <td>1.332451e+09</td>\n",
       "      <td>{\"id\":597507018,\"name\":\"Pebble Technology\",\"sl...</td>\n",
       "      <td>USD</td>\n",
       "      <td>$</td>\n",
       "      <td>...</td>\n",
       "      <td>pebble-e-paper-watch-for-iphone-and-android</td>\n",
       "      <td>https://www.kickstarter.com/discover/categorie...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>successful</td>\n",
       "      <td>1.337396e+09</td>\n",
       "      <td>1.0</td>\n",
       "      <td>{\"web\":{\"project\":\"https://www.kickstarter.com...</td>\n",
       "      <td>10266845.74</td>\n",
       "      <td>international</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2335</th>\n",
       "      <td>NaN</td>\n",
       "      <td>63416.0</td>\n",
       "      <td>Cracking open the last closed platform: the TV...</td>\n",
       "      <td>{\"id\":270,\"name\":\"Gaming Hardware\",\"slug\":\"gam...</td>\n",
       "      <td>8596474.0</td>\n",
       "      <td>US</td>\n",
       "      <td>1.337045e+09</td>\n",
       "      <td>{\"id\":33844207,\"name\":\"OUYA\",\"slug\":\"ouya\",\"is...</td>\n",
       "      <td>USD</td>\n",
       "      <td>$</td>\n",
       "      <td>...</td>\n",
       "      <td>ouya-a-new-kind-of-video-game-console</td>\n",
       "      <td>https://www.kickstarter.com/discover/categorie...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>successful</td>\n",
       "      <td>1.344492e+09</td>\n",
       "      <td>1.0</td>\n",
       "      <td>{\"web\":{\"project\":\"https://www.kickstarter.com...</td>\n",
       "      <td>8596474.58</td>\n",
       "      <td>international</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2133</th>\n",
       "      <td>NaN</td>\n",
       "      <td>63416.0</td>\n",
       "      <td>Cracking open the last closed platform: the TV...</td>\n",
       "      <td>{\"id\":270,\"name\":\"Gaming Hardware\",\"slug\":\"gam...</td>\n",
       "      <td>8596474.0</td>\n",
       "      <td>US</td>\n",
       "      <td>1.337045e+09</td>\n",
       "      <td>{\"id\":33844207,\"name\":\"OUYA\",\"slug\":\"ouya\",\"is...</td>\n",
       "      <td>USD</td>\n",
       "      <td>$</td>\n",
       "      <td>...</td>\n",
       "      <td>ouya-a-new-kind-of-video-game-console</td>\n",
       "      <td>https://www.kickstarter.com/discover/categorie...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>successful</td>\n",
       "      <td>1.344492e+09</td>\n",
       "      <td>1.0</td>\n",
       "      <td>{\"web\":{\"project\":\"https://www.kickstarter.com...</td>\n",
       "      <td>8596474.58</td>\n",
       "      <td>international</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1682</th>\n",
       "      <td>NaN</td>\n",
       "      <td>69320.0</td>\n",
       "      <td>Yu Suzuki presents the long awaited third inst...</td>\n",
       "      <td>{\"id\":35,\"name\":\"Video Games\",\"slug\":\"games/vi...</td>\n",
       "      <td>6333295.0</td>\n",
       "      <td>US</td>\n",
       "      <td>1.433238e+09</td>\n",
       "      <td>{\"id\":1569150382,\"name\":\"Ys Net\",\"slug\":\"ysnet...</td>\n",
       "      <td>USD</td>\n",
       "      <td>$</td>\n",
       "      <td>...</td>\n",
       "      <td>shenmue-3</td>\n",
       "      <td>https://www.kickstarter.com/discover/categorie...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>successful</td>\n",
       "      <td>1.437184e+09</td>\n",
       "      <td>1.0</td>\n",
       "      <td>{\"web\":{\"project\":\"https://www.kickstarter.com...</td>\n",
       "      <td>6333295.77</td>\n",
       "      <td>international</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  backers_count  \\\n",
       "511         NaN        68929.0   \n",
       "1651        NaN        68929.0   \n",
       "2335        NaN        63416.0   \n",
       "2133        NaN        63416.0   \n",
       "1682        NaN        69320.0   \n",
       "\n",
       "                                                  blurb  \\\n",
       "511   Pebble is a customizable watch. Download new w...   \n",
       "1651  Pebble is a customizable watch. Download new w...   \n",
       "2335  Cracking open the last closed platform: the TV...   \n",
       "2133  Cracking open the last closed platform: the TV...   \n",
       "1682  Yu Suzuki presents the long awaited third inst...   \n",
       "\n",
       "                                               category  \\\n",
       "511   {\"id\":28,\"name\":\"Product Design\",\"slug\":\"desig...   \n",
       "1651  {\"id\":28,\"name\":\"Product Design\",\"slug\":\"desig...   \n",
       "2335  {\"id\":270,\"name\":\"Gaming Hardware\",\"slug\":\"gam...   \n",
       "2133  {\"id\":270,\"name\":\"Gaming Hardware\",\"slug\":\"gam...   \n",
       "1682  {\"id\":35,\"name\":\"Video Games\",\"slug\":\"games/vi...   \n",
       "\n",
       "      converted_pledged_amount country    created_at  \\\n",
       "511                 10266845.0      US  1.332451e+09   \n",
       "1651                10266845.0      US  1.332451e+09   \n",
       "2335                 8596474.0      US  1.337045e+09   \n",
       "2133                 8596474.0      US  1.337045e+09   \n",
       "1682                 6333295.0      US  1.433238e+09   \n",
       "\n",
       "                                                creator currency  \\\n",
       "511   {\"id\":597507018,\"name\":\"Pebble Technology\",\"sl...      USD   \n",
       "1651  {\"id\":597507018,\"name\":\"Pebble Technology\",\"sl...      USD   \n",
       "2335  {\"id\":33844207,\"name\":\"OUYA\",\"slug\":\"ouya\",\"is...      USD   \n",
       "2133  {\"id\":33844207,\"name\":\"OUYA\",\"slug\":\"ouya\",\"is...      USD   \n",
       "1682  {\"id\":1569150382,\"name\":\"Ys Net\",\"slug\":\"ysnet...      USD   \n",
       "\n",
       "     currency_symbol      ...        \\\n",
       "511                $      ...         \n",
       "1651               $      ...         \n",
       "2335               $      ...         \n",
       "2133               $      ...         \n",
       "1682               $      ...         \n",
       "\n",
       "                                             slug  \\\n",
       "511   pebble-e-paper-watch-for-iphone-and-android   \n",
       "1651  pebble-e-paper-watch-for-iphone-and-android   \n",
       "2335        ouya-a-new-kind-of-video-game-console   \n",
       "2133        ouya-a-new-kind-of-video-game-console   \n",
       "1682                                    shenmue-3   \n",
       "\n",
       "                                             source_url  spotlight staff_pick  \\\n",
       "511   https://www.kickstarter.com/discover/categorie...       True       True   \n",
       "1651  https://www.kickstarter.com/discover/categorie...       True       True   \n",
       "2335  https://www.kickstarter.com/discover/categorie...       True       True   \n",
       "2133  https://www.kickstarter.com/discover/categorie...       True       True   \n",
       "1682  https://www.kickstarter.com/discover/categorie...       True       True   \n",
       "\n",
       "           state  state_changed_at  static_usd_rate  \\\n",
       "511   successful      1.337396e+09              1.0   \n",
       "1651  successful      1.337396e+09              1.0   \n",
       "2335  successful      1.344492e+09              1.0   \n",
       "2133  successful      1.344492e+09              1.0   \n",
       "1682  successful      1.437184e+09              1.0   \n",
       "\n",
       "                                                   urls  usd_pledged  \\\n",
       "511   {\"web\":{\"project\":\"https://www.kickstarter.com...  10266845.74   \n",
       "1651  {\"web\":{\"project\":\"https://www.kickstarter.com...  10266845.74   \n",
       "2335  {\"web\":{\"project\":\"https://www.kickstarter.com...   8596474.58   \n",
       "2133  {\"web\":{\"project\":\"https://www.kickstarter.com...   8596474.58   \n",
       "1682  {\"web\":{\"project\":\"https://www.kickstarter.com...   6333295.77   \n",
       "\n",
       "           usd_type  \n",
       "511        domestic  \n",
       "1651  international  \n",
       "2335  international  \n",
       "2133  international  \n",
       "1682  international  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x1a227bbc88>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FxgBLI2Jj2t6ngRWSLgN+QlGYzMysBdQsFBHxA6p/jrAm0+dy4PIq8TXV+kXE4xR3RZmZWYvxN7PNzCzLhcLMzLJcKMzMLMuFwszMslwozMwsy4XCzMyyXCjMzCzLhcLMzLJcKMzMLMuFwszMslwozMwsy4XCzMyy2rpQTFv8XaYt/m6zh2Fm1tLaulCYmVltLhRmZpblQmFmZlkuFGZmluVCYWZmWS4UZmaW5UJhZmZZNQuFpKmS7pL0iKSNkj6e4gdLWidpU3qcmOKSdLWkHkkPSTq2tK0Fqf0mSQtK8XdI2pD6XC1JeyNZMzPbc/WcUewGFkXEEcAs4HxJM4HFwJ0RMQO4My0DnALMSNNC4FooCgtwEXA8cBxwUX9xSW0WlvrNGXpqZmY2HGoWiojYFhE/TvPPAY8Ak4G5wLLUbBlwepqfC9wYhbuBCZImAScD6yJiZ0TsAtYBc9K610fEjyIigBtL2zIzsybr2JPGkqYBxwD3AJ0RsQ2KYiLp0NRsMrCl1K03xXLx3irxavtfSHHmQWdnJ5VKZU+G/7LOcbDoqN0vLze6ndGkr6+vLfLs1275gnNuF83Iue5CIelA4FvAJyLiN5mPEaqtiAbirw5GLAGWAHR1dUV3d3eNUVd3zfJVXLnhldQ3n9XYdkaTSqVCo8/XaNRu+YJzbhfNyLmuu54k7UdRJJZHxG0pvD1dNiI97kjxXmBqqfsUYGuN+JQqcTMzawH13PUk4HrgkYj4UmnVaqD/zqUFwKpSfH66+2kW8Gy6RLUWmC1pYvoQezawNq17TtKstK/5pW2ZmVmT1XPp6QTgg8AGSQ+k2GeAK4CVks4FngTel9atAU4FeoAXgLMBImKnpEuB+1K7SyJiZ5o/D7gBGAfckSYzM2sBNQtFRPyA6p8jAJxUpX0A5w+yraXA0irx9cDbao3FzMxGnr+ZbWZmWS4UZmaW5UJhZmZZe/SFu33Vnvzd7M1XnLYXR2Jm1np8RmFmZlkuFGZmluVCYWZmWS4UZmaW5UJhZmZZLhRmZpblQmFmZlkuFGZmluVCYWZmWS4UZmaW5UJhZmZZLhRmZpblQmFmZlkuFGZmluVCYWZmWS4UZmaWVbNQSFoqaYekh0uxiyU9JemBNJ1aWnehpB5Jj0k6uRSfk2I9khaX4tMl3SNpk6RbJI0dzgTNzGxo6jmjuAGYUyV+VUQcnaY1AJJmAvOAI1Ofr0kaI2kM8FXgFGAmcGZqC/DFtK0ZwC7g3KEkZGZmw6tmoYiI7wM769zeXGBFRLwYEU8APcBxaeqJiMcj4vfACmCuJAEnArem/suA0/cwBzMz24uG8jezL5A0H1gPLIqIXcBk4O5Sm94UA9gyIH488AbgmYjYXaX9q0haCCwE6OzspFKpNDTwznGw6KjdtRtW0eg+m62vr2/Ujr0R7ZYvOOd20YycGy0U1wKXApEerwTOAVSlbVD9zCUy7auKiCXAEoCurq7o7u7eo0H3u2b5Kq7c0Fjqm89qbJ/NVqlUaPT5Go3aLV9wzu2iGTk39G4ZEdv75yV9A7g9LfYCU0tNpwBb03y1+NPABEkd6ayi3N7MzFpAQ7fHSppUWnwv0H9H1GpgnqT9JU0HZgD3AvcBM9IdTmMpPvBeHREB3AWckfovAFY1MiYzM9s7ap5RSLoZ6AYOkdQLXAR0Szqa4jLRZuAjABGxUdJK4KfAbuD8iHgpbecCYC0wBlgaERvTLj4NrJB0GfAT4Pphy87MzIasZqGIiDOrhAd9M4+Iy4HLq8TXAGuqxB+nuCvKzMxakL+ZbWZmWS4UZmaW5UJhZmZZLhRmZpblQmFmZlkuFGZmluVCYWZmWS4UZmaW5UJhZmZZLhRmZpblQmFmZlkuFGZmluVCYWZmWS4UZmaW5UJhZmZZLhRmZpblQmFmZlkuFGZmluVCYWZmWTULhaSlknZIergUO1jSOkmb0uPEFJekqyX1SHpI0rGlPgtS+02SFpTi75C0IfW5WpKGO0kzM2tcPWcUNwBzBsQWA3dGxAzgzrQMcAowI00LgWuhKCzARcDxwHHARf3FJbVZWOo3cF9mZtZENQtFRHwf2DkgPBdYluaXAaeX4jdG4W5ggqRJwMnAuojYGRG7gHXAnLTu9RHxo4gI4MbStszMrAV0NNivMyK2AUTENkmHpvhkYEupXW+K5eK9VeJVSVpIcfZBZ2cnlUqlscGPg0VH7W6ob6P7bLa+vr5RO/ZGtFu+4JzbRTNybrRQDKba5wvRQLyqiFgCLAHo6uqK7u7uBoYI1yxfxZUbGkt981mN7bPZKpUKjT5fo1G75QvOuV00I+dG73rani4bkR53pHgvMLXUbgqwtUZ8SpW4mZm1iEYLxWqg/86lBcCqUnx+uvtpFvBsukS1FpgtaWL6EHs2sDate07SrHS30/zStszMrAXUvP4i6WagGzhEUi/F3UtXACslnQs8CbwvNV8DnAr0AC8AZwNExE5JlwL3pXaXRET/B+TnUdxZNQ64I01mZtYiahaKiDhzkFUnVWkbwPmDbGcpsLRKfD3wtlrjMDOz5vA3s83MLMuFwszMslwozMwsy4XCzMyyXCjMzCzLhcLMzLJcKMzMLMuFwszMslwozMwsy4XCzMyyXCjMzCzLhcLMzLJcKMzMLMuFwszMslwozMwsy4XCzMyyXCjMzCzLhcLMzLJcKMzMLMuFwszMsjqG0lnSZuA54CVgd0R0SToYuAWYBmwG3h8RuyQJ+BvgVOAF4EMR8eO0nQXA59JmL4uIZUMZ1940bfF3m7LfzVec1pT9mpkNxxnFv4+IoyOiKy0vBu6MiBnAnWkZ4BRgRpoWAtcCpMJyEXA8cBxwkaSJwzAuMzMbBnvj0tNcoP+MYBlweil+YxTuBiZImgScDKyLiJ0RsQtYB8zZC+MyM7MGDOnSExDAP0kK4OsRsQTojIhtABGxTdKhqe1kYEupb2+KDRZ/FUkLKc5G6OzspFKpNDToznGw6KjdDfVtlkZz7dfX1zfkbYwm7ZYvOOd20Yych1ooToiIrakYrJP0aKatqsQiE391sChESwC6urqiu7t7D4dbuGb5Kq7cMNTUR9bms7qH1L9SqdDo8zUatVu+4JzbRTNyHtKlp4jYmh53AN+m+Ixhe7qkRHrckZr3AlNL3acAWzNxMzNrAQ0XCknjJb2ufx6YDTwMrAYWpGYLgFVpfjUwX4VZwLPpEtVaYLakielD7NkpZmZmLWAo1186gW8Xd73SAXwzIv5R0n3ASknnAk8C70vt11DcGttDcXvs2QARsVPSpcB9qd0lEbFzCOMyM7Nh1HChiIjHgbdXif8aOKlKPIDzB9nWUmBpo2MxM7O9x9/MNjOzLBcKMzPLcqEwM7MsFwozM8tyoTAzsywXCjMzy3KhMDOzLBcKMzPLcqEwM7MsFwozM8saXb+13caG+idYFx21mw816c+4NkO75QvOuV3cMGf8iO/TZxRmZpblQmFmZlkuFGZmluVCYWZmWS4UZmaW5UJhZmZZLhRmZpblQmFmZlkuFGZmltUyhULSHEmPSeqRtLjZ4zEzs0JLFApJY4CvAqcAM4EzJc1s7qjMzAxapFAAxwE9EfF4RPweWAHMbfKYzMwMUEQ0ewxIOgOYExEfTssfBI6PiAsGtFsILEyLbwUea3CXhwBPN9h3tGq3nNstX3DO7WKoOb85It64Jx1a5ddjVSX2qgoWEUuAJUPembQ+IrqGup3RpN1ybrd8wTm3i2bk3CqXnnqBqaXlKcDWJo3FzMxKWqVQ3AfMkDRd0lhgHrC6yWMyMzNa5NJTROyWdAGwFhgDLI2IjXtxl0O+fDUKtVvO7ZYvOOd2MeI5t8SH2WZm1rpa5dKTmZm1KBcKMzPLaqtCMdp+JkTSVEl3SXpE0kZJH0/xgyWtk7QpPU5McUm6OuX3kKRjS9takNpvkrSgFH+HpA2pz9WSlNvHCOY+RtJPJN2elqdLuieN55Z00wOS9k/LPWn9tNI2LkzxxySdXIpXfR0Mto8RyneCpFslPZqO9zv39eMs6ZPpdf2wpJslHbCvHWdJSyXtkPRwKda045rbR1ZEtMVE8SH5z4G3AGOBB4GZzR5XjTFPAo5N868DfkbxEyf/G1ic4ouBL6b5U4E7KL6XMgu4J8UPBh5PjxPT/MS07l7gnanPHcApKV51HyOY+38HvgncnpZXAvPS/HXAeWn+Y8B1aX4ecEuan5mO8f7A9HTsx+ReB4PtY4TyXQZ8OM2PBSbsy8cZmAw8AYwrPfcf2teOM/Au4Fjg4VKsacd1sH3UzGOk/iE0e0pP5trS8oXAhc0e1x7msAr4DxTfSJ+UYpOAx9L814EzS+0fS+vPBL5ein89xSYBj5biL7cbbB8jlOcU4E7gROD29KJ+GugYeCwp7pR7Z5rvSO008Pj2txvsdZDbxwjk+3qKN00NiO+zx5miUGxJb34d6TifvC8eZ2Aaf1womnZcB9tHrRza6dJT/wuzX2+KjQrpVPsY4B6gMyK2AaTHQ1OzwXLMxXurxMnsYyR8GfgU8C9p+Q3AMxGxu8o4X84trX82td/T5yK3j73tLcCvgL9TcbntbyWNZx8+zhHxFPDXwJPANorjdj/79nHu18zj2tD7YDsVirp+JqQVSToQ+BbwiYj4Ta5plVg0EG8aSe8BdkTE/eVwlaZRY91oei46KC5PXBsRxwDPU1wuGMxoyq2qdM18LsXlosOA8RS/Hj3QvnScaxmJXBrKv50Kxaj8mRBJ+1EUieURcVsKb5c0Ka2fBOxI8cFyzMWnVInn9rG3nQD8J0mbKX5F+ESKM4wJkvq/IFoe58u5pfUHATvZ8+fi6cw+9rZeoDci7knLt1IUjn35OL8beCIifhURfwBuA/4t+/Zx7tfM49rQ+2A7FYpR9zMh6Q6G64FHIuJLpVWrgf47HxZQfHbRH5+f7myYBTybTjvXArMlTUz/k5tNcV12G/CcpFlpX/MHbKvaPvaqiLgwIqZExDSKY/S9iDgLuAs4o8p4yuM8I7WPFJ+X7paZDsyg+OCv6usg9RlsH3tVRPwS2CLprSl0EvBT9uHjTHHJaZak16Yx9ee8zx7nkmYe18H2kTcSH1y1ykTxif/PKO6G+Gyzx1PHeP+U4rTwIeCBNJ1KcZ31TmBTejw4tRfFH4D6ObAB6Cpt6xygJ01nl+JdwMOpz1d45dv6Vfcxwvl388pdT2+heAPoAf4e2D/FD0jLPWn9W0r9P5vyeox0N0judTDYPkYo16OB9elY/wPF3S379HEGPg88msZ1E8WdS/vUcQZupvgM5g8U/5s/t5nHNbeP3OSf8DAzs6x2uvRkZmYNcKEwM7MsFwozM8tyoTAzsywXCjMzy3KhMDOzLBcKMzPL+v8wU7JungYCHQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a22014c50>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ys6vzxRFVvcRzceVRAS1yp5m77wJ2AfT29tZ+N1qLqefcgzbuibS2alZPrQU+aGY3ABcDl5LreXSb2ezQm1gInAz1TwCLgBNmNht4C3CqoDyv8DVx5VIFJQ0UkUpVPDzl7lvdfaG7LyE3kb3f3W8BngQ+FKptAh4LP+8NjwnP73d3D+U3h9VVS4HlwPeBZ4DlYTXWnPAeeyttb7voHxph7Y79LN3yOGt37I+cp9Dcg4hUqh77ND4HPGRm24Eh4N5Qfi/wTTM7Sq6HcTOAuz9vZo8ALwDngE+6+ySAmX0KGAA6gPvc/fk6tLdlRKUIufPhZ7nz4WenpTrXuQwiUinzOiSkS1Nvb68PDg6m3YxUrN2xP3LYqVC5u7xFpD2Y2SF37y1VT2lEMiDJkFISSSay//bgsYquLSICChqpq2W+piQT2ecd5YISkYopaKSslnsmoia4494zb1v/MMu27mPJlsdZtnVfzU/qE5HWooSFKat0z0SxFOQ7Bw4XndvIXzt/xGte/ohXQPMeIhJJPY2UVZKvqdiQVt+qHp7acg2v7LiRrpicUvlrN+qIVxFpHQoaKatkz0TSIa27bvr9otdu5BGvItIaNDyVskr2TCQd0ip17Q6zyAChI15FJI6CRgbMzNd0y9ef5s6Hn516vHbZfB78+AemHpeTBqRYLqiNqxdNm9MoLBcRiaLhqYy55etP89SLp6aVPfXiKW75+tNTj2uVBmR738qqj3gVkfainkbGzAwYUeW1TANS7RGvItJeFDSalFKQi0gaNDwlIiKJqadRJ9v6h9l98DiT7tMyzJaydtn8yCGqtcvm16OZIiJlUU+jDvI7rfPLWfM7rZOk6Hjw4x+4IEDMXD2VVK0SIYqI5KmnUQfFdlon6W1UEiBmijpbY+ueXNDSXIiIVEo9jTrIwk7rWiZCFBHJU0+jRVWaCFEap1jSSZGsUtCoAwOi+hSNTM5Rzq7xOJVO5ktpGj6UZqWgUQdxg1CNTAO4ed2KaR9KUN6u8bi06Qdf+ideGj0bG0gKvz13dc5i/Nx53FHQmaHY8KGChmSZgkYdZCERYLW7xuMm84+89uupn2eevzHz2/PZifOxddudhg+lWWkivA7iEv41OhFg/myNl3fcyFNbrinrG2w5k/b5ABP17Tmubrur5BwVkSxQT6PG+odGePIno9PKGjU0U2xitdxJ17jeUpR8vSTfknVWR061w4ciaVHQqKGZwzOQ+yC466aVZY9Tl/shX2xiFSh70jUubXqU/LBb3OR7VN12V8ukkyKNZN5i3/x6e3t9cHAwlfdeu2N/7IdmOb2NqODTOcu45OLZjJ2diPyAiXvvnjDcEffcU1uuiW1H4eqpYvLp1KPaHVdXRLLFzA65e2+peupp1FCx4ZlyJoKj5gYmzjunz04A0T2FSiZWSw0nFaZNX7Z1X2TwMN64n5nfnrV6SqT1KGjU0Fu6OhkbnyhaJ0kqkSRzA+MTk3x+z3N89pEfFu0JLOjuYuzs6/z69Qu//c+d0xHximhxw1W3rFk87bFStou0Nq2eqpH+oRF+/fq5kvWSTAQnXUFzduJ80et1zjI2r1vB2YiAAcSWR2m2U/6UrFGkPtTTqJGdA4eZmCwdEJJMBC95a+kJ5SQuuXg2fat6pp03Xqjc2axmOeVPu61F6qfinoaZLTKzJ83sx2b2vJn9aSifb2ZPmNmR8Pu8UG5mdo+ZHTWz58zsqoJrbQr1j5jZpoLy95nZcHjNPWbZXXqTdFNWkr0aB146XW1zABgLcyBxgapVVzIpWaNI/VTT0zgHfNbdf2BmbwYOmdkTwEeB77j7DjPbAmwBPgdcDywPv1YDXwNWm9l84AtAL7kvv4fMbK+7nw517gAOAPuA9cC3q2hz3XTP7ZyaqC6lVE6nWu1lyA9zxc1HNHqzYTG1TN6n3dYi9VNx0HD3V4FXw8+/NLMfAz3ABuDqUO1+4LvkgsYG4AHPrfE9YGbdZnZFqPuEu58CCIFnvZl9F7jU3Z8O5Q8AfWQ0aCT9nJ/54R21qirJxrq5nbOmpemYqXCjWP66lSYfrGc21v6hEf587/PTFhBUO5xUi2SNIhKtJhPhZrYEWAUcBN4eAko+sLwtVOsBCnNInAhlxcpPRJRn0pkSq6ZKKUyvUaoH0NXZwX+96ffp6oz+6+swu2BD4fa+lbx41w28suNGXrzrhrICxtY9w4yMjeO88YFei4nl/LWjVpxVM5y0ed0KujqnrwzTbmuR2qg6aJjZJcDfAXe6+y+KVY0o8wrKo9pwh5kNmtng6OhoVJW6q/ZbbGHPYuZKJQPeNKcDI7chLx8QfhPT0zjvXrOeQNz8wJ0PP1v1qqRSuaoqHU7qW9XDXTetpKe764I/s3a1rX+YZVv3sWTL4yzbui/R0cMiUapaPWVmneQCxoPuvicU/8zMrnD3V8Pw02uh/ARQ+BV6IXAylF89o/y7oXxhRP0LuPsuYBfkdoRXcUsVi8olVK5t/cNTPYBSK5W29Q/Hrn6qNoAl3Qle7TBSqaDQPbeTtTv2VzQspv0ib4hLcw/KOCzlq2b1lAH3Aj929/9e8NReIL8CahPwWEH5bWEV1RrgTBi+GgCuM7N5YaXVdcBAeO6XZrYmvNdtBdfKhMK9ADsHDnPV4rdUddBS0gywMz8ECnV1dvBHv3t5xXsU8tdOOhlfzTBSseDW2WH86jfn6jIs1m6KnVkvUq5qehprgX8DDJtZfiPA54EdwCNmdjtwDPhweG4fcANwFDgLfAzA3U+Z2ZeAZ0K9L+YnxYFPAN8AushNgGdmEjxqL8DJ8AFXqaQf1MX+s/+r9/Xwd4dGKt6jUMkHSakeQ9xqsbje2by5nbhzwVyHDimqTBbOrJfWUc3qqf9D/Amm10bUd+CTMde6D7gvonwQeHelbaynqPH4av8LzkrYTSn2n/3Jn4xWdSJcJR8ks8xYuuXxyCGkJEMjUSuzlmx5PPK9tGy2fFk4FExah9KIVKguH15OouGXYpv1qt2jUOzaX/7Iey9YlQS5QBA3hFRqaCTqoKj+oZHYbyNaNlu+rBwKJq1BaUQSuuXrT/PUi6emHnfOgiLbJCpyHqZ6BHF7I/qHRri4c1ZkAsKNqxfx5E9GK96jsK1/OLansXH1oguy2M6K+AY7s1dTbGgk7h53DhyO7LUZaNlsBardpyNSSEEjgZkBA2ofMPJOjo3H5k4a/OmpafMVeUYu22zcmRZJ9ijETa4XXhumr0pammAIKW5oZJbFHwwV1ytylDuqUs2SN0yyT8NTCcwMGPW0oLsrdm/E7oPHI5f0LujumvahXskehbhhpFlmsR82Sc65jhsCuWj2rNi5l7jr9mhoSiR1ChoZYuS+ccdluI0b6hkJvZO8wnmCzetWsHPgcMnlt5WssEmy8zoupXrcxsSTY+Pa0S2SYRqeypBS65aK5aSKWlZbTorwSlbYJD3nOmpopNjci87PFskuBY0E1i6b39AhqiidHcZH/vkidn//OJPnL/xwj1pWWyxF+MwP4Eoz4Va68zpqj0Zhb0I7ukWySUEjRn5lz8jYeCbWs79pTu6vKipg5M2cQC5n+W2jV9iU6k2USh8vIulQ0CgQl3MpCztnx8YnSu7WnjmBXG6K8EavsInrTShXkkh2aSI8KDfnUhqKtS1qorgeE8qNOHtbuZJEsks9jSDND6SLZs/it+eq2/hxccTZGqWGgMo9XKnY/pEnfzJas0lr5UoSyS4FjSCND6Suzg7uumkln3n42dKVSzh9doLPPPwsgz89NW0IJ24IqJyVVcVSpY9PTPLggWNTK7+qTZcOypUkkmUKGkGSI1ZryeyNw4xqxckdJ9v7jvklP7DjVlZ9fs9zfPaRH05NQL/z8rkcee3XJd935nVKJUgs1stphjPNRdqVgkaw5p3zGrqstp7x6c4ZPY6oD+i4lVWF545PupcMGHGKJUgs1ctRriSR7DJvsXHi3t5eHxwcLPt1a3fsj92J3azWLpvPC6/+ktNnp59L0dXZwUWzZ0WezV0uI3pTYk93F09tuSa6XTF/1sVeIyL1ZWaH3L23VD2tngpa8ZyGp148dUHAgNzwkRmRac7L0dPdxS1rFpe9Qqva9O0ikh4FjaDdzmkYOztxQWLDcuaZb12zmKe2XMP2vpVlJ0hMkuhQRLJJcxrBkrdGb4RrVfkcT8VO2ctb/rY38dLo2dj5hXJTfpRKISIi2aWgQe7DMu3cUo0U9wHdqAnorCQkLHefiohoIhyAZVv3tdXGMQPeVaT30A4fpnGHVSU5e0SkFSWdCFdPg9bdadw5y7jk4tkXTIY7TFtKW5jbqfcd8xNv+mtm5WQAFpE3aCIcypoAbiY7P/wehv7zdYl3Uu8+eLzoh2kr0QoukcooaABds1vzj2Hwp7l5mqQ9qUn32MUArfZhqhVcIpVpzU/LMp2NOXq02eWTMNYiZ1OrfZjqSFmRyihotLB8D6PanE2t+GHat6qn7P0lIqKJ8JaW719s71vJy6O/mras+O1vnsPPfzVRcuiqp8rVU1leiaUjZUXK1/Y9jXocIpQVc+fkhl/6h0b4wbEz0577xW8m+as/eQ89RYad8j2MagLG1j3DjIyN47yxEquV/8xFWl3bB40/q2Fq8qw5+3puFVSxFVFRY/sz61SqXVZiibSTzAcNM1tvZofN7KiZban19VtzCjwnP3ldbHlpfmw/TjWrprSsVaT1ZDpomFkH8BXgeuBKYKOZXZluq5pD4eR1qeWlfat6Yoepqlk1pWWtIq0n00EDeD9w1N1fcvfXgYeADSm3KTM6zHhlx428suNGvvyR98auBEqyvLQeS1C1rFWk9WR99VQPcLzg8QlgdUptyZzCpbTFVgIlSRBYjySCWUlMKCK1k/WgEbUr7YI1omZ2B3AHwOLFi+vdpoabZdBhkN+DOMvgX69eXFb22STLS+uxBFXLWkVaS9aDxgmgcGfaQuDkzEruvgvYBbkst41pWnXWLpvPD46duWB10UzKvCoiWZL1OY1ngOVmttTM5gA3A3tTblPZZtkbXaYOM25ds5gHP/6BqR3J+XKAeXM76e7q1C5lEcmkzJ+nYWY3AF8GOoD73P2/FKtfyXkaS7Y8XkX7cgkPxyfOa8xeRJpWy5yn4e77gH31fI9XdtxYz8uLiLSMrA9PiYhIhihoiIhIYgoaIiKSmIKGiIgkpqAhIiKJZX7JbbnMbBT4aYUvvwz4eQ2bk2XtdK/QXvere21N9b7Xd7j75aUqtVzQqIaZDSZZp9wK2uleob3uV/famrJyrxqeEhGRxBQ0REQkMQWN6Xal3YAGaqd7hfa6X91ra8rEvWpOQ0REElNPQ0REEmvLoGFm683ssJkdNbMtEc9fZGYPh+cPmtmSxreyNhLc65+Z2Qtm9pyZfcfM3pFGO2uh1L0W1PuQmbmZpb4SpRpJ7tfM/iT8/T5vZn/b6DbWSoJ/x4vN7EkzGwr/lm9Io521YGb3mdlrZvajmOfNzO4JfxbPmdlVDW2gu7fVL3Ip1l8E3gnMAX4IXDmjzr8H/jr8fDPwcNrtruO9/hEwN/z8iVa+11DvzcD3gANAb9rtrvPf7XJgCJgXHr8t7XbX8V53AZ8IP18JvJJ2u6u43z8ErgJ+FPP8DcC3yR3TswY42Mj2tWNP4/3AUXd/yd1fBx4CNsyoswG4P/z8KHCtmUUdPZt1Je/V3Z9097Ph4QFypyM2oyR/rwBfAv4S+E0jG1cHSe7348BX3P00gLu/1uA21kqSe3Xg0vDzW4g44bNZuPv3gFNFqmwAHvCcA0C3mV3RmNa15/BUD3C84PGJUBZZx93PAWeAtzakdbWV5F4L3U7uG0wzKnmvZrYKWOTuf9/IhtVJkr/b3wF+x8yeMrMDZra+Ya2rrST3+ufArWZ2gtz5O59uTNNSUe7/65rK/CFMdRDVY5i5hCxJnWaQ+D7M7FagF/gXdW1R/RS9VzObBdwNfLRRDaqzJH+3s8kNUV1Nrgf5j2b2bncfq3Pbai3JvW4EvuHuf2VmHwC+Ge71fP2b13Cpfj61Y0/jBLCo4PFCLuzKTtUxs9nkurvFuotZleReMbM/Bv4T8EF3/22D2lZrpe71zcC7ge+a2SvkxoL3NvFkeNJ/x4+5+4Qi75guAAACUklEQVS7vwwcJhdEmk2Se70deATA3Z8GLiaXq6kVJfp/XS/tGDSeAZab2VIzm0NuonvvjDp7gU3h5w8B+z3MQDWZkvcahmz+J7mA0axj3lDiXt39jLtf5u5L3H0JufmbD7p7eQfKZ0eSf8f95BY6YGaXkRuueqmhrayNJPd6DLgWwMz+GbmgMdrQVjbOXuC2sIpqDXDG3V9t1Ju33fCUu58zs08BA+RWZdzn7s+b2ReBQXffC9xLrnt7lFwP4+b0Wly5hPe6E7gE+N9hrv+Yu38wtUZXKOG9toyE9zsAXGdmLwCTwGZ3/6f0Wl2ZhPf6WeDrZvYZckM1H23SL3qY2W5yQ4qXhTmaLwCdAO7+1+TmbG4AjgJngY81tH1N+ucqIiIpaMfhKRERqZCChoiIJKagISIiiSloiIhIYgoaIiJNrFSCwxl17zazZ8Ov/2tmZW/01OopEZEmZmZ/CPyKXD6qd5fxuk8Dq9z935bzfuppiIg0sagEh2a2zMz+wcwOmdk/mtnvRrx0I7C73Pdru819IiJtYBfw79z9iJmtBr4KXJN/MpybsxTYX+6FFTRERFqImV0C/AFvZHkAuGhGtZuBR919stzrK2iIiLSWWcCYu7+3SJ2bgU9WenEREWkR7v4L4GUz+zBMHQ/7nvzzZrYCmAc8Xcn1FTRERJpYSHD4NLDCzE6Y2e3ALcDtZvZD4Hmmn3S4EXio0oSOWnIrIiKJqachIiKJKWiIiEhiChoiIpKYgoaIiCSmoCEiIokpaIiISGIKGiIikpiChoiIJPb/AQGifAjH0bJgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x1a24b29160>,\n",
       "  <matplotlib.lines.Line2D at 0x1a24b294a8>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x1a24b297f0>,\n",
       "  <matplotlib.lines.Line2D at 0x1a24b29b38>],\n",
       " 'boxes': [<matplotlib.lines.Line2D at 0x1a24b20908>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x1a24b29e80>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x1a24b33208>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}