ModeMedianMean.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy import stats\n",
    "from scipy.stats import kendalltau\n",
    "\n",
    "\n",
    "house_df = pd.read_csv(\"Arlington_County_Sales_2017.csv\")\n",
    "house_df.head()\n",
    "pd.set_option(\"display.max_columns\", 500)\n",
    "counter = 0\n",
    "for column in house_df:\n",
    "\n",
    "    if house_df[column].isnull().sum()>= 1000:\n",
    "        house_df.drop(column, axis=1, inplace = True)\n",
    "house_df.to_csv(\"Trimmed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>FullStreetAddress</th>\n",
       "      <th>Amenities</th>\n",
       "      <th>Appliances</th>\n",
       "      <th>AssessmentYear</th>\n",
       "      <th>Attic</th>\n",
       "      <th>Baths</th>\n",
       "      <th>BathsFull</th>\n",
       "      <th>BathsHalf</th>\n",
       "      <th>Beds</th>\n",
       "      <th>CityName</th>\n",
       "      <th>CloseDate</th>\n",
       "      <th>ClosePrice</th>\n",
       "      <th>ContractDate</th>\n",
       "      <th>County</th>\n",
       "      <th>CountyTax</th>\n",
       "      <th>CountyTaxPaymentFreq</th>\n",
       "      <th>DaysOnMarket</th>\n",
       "      <th>DomProperty</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>Foreclosure</th>\n",
       "      <th>Heating</th>\n",
       "      <th>HOA</th>\n",
       "      <th>HotWater</th>\n",
       "      <th>ImprovementAssessmentAmount</th>\n",
       "      <th>ImprovementAssessmentPaymentFreq</th>\n",
       "      <th>InteriorFeatures</th>\n",
       "      <th>LandAssessmentAmount</th>\n",
       "      <th>LandAssessmentPaymentFreq</th>\n",
       "      <th>Stories</th>\n",
       "      <th>ListDate</th>\n",
       "      <th>ListPrice</th>\n",
       "      <th>ListingLowPrice</th>\n",
       "      <th>ListingType</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>ListingID</th>\n",
       "      <th>OriginalListPrice</th>\n",
       "      <th>Ownership</th>\n",
       "      <th>Parking</th>\n",
       "      <th>PropertyType</th>\n",
       "      <th>Remarks</th>\n",
       "      <th>ShowDays</th>\n",
       "      <th>StreetName</th>\n",
       "      <th>StreetNumber</th>\n",
       "      <th>Style</th>\n",
       "      <th>ListingTaxID</th>\n",
       "      <th>TotalAssessment</th>\n",
       "      <th>TotalOpenHouses</th>\n",
       "      <th>TotalShowings</th>\n",
       "      <th>LivingArea</th>\n",
       "      <th>TotalTaxes</th>\n",
       "      <th>TotalTours</th>\n",
       "      <th>Type</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Zip4</th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>CloseMonth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3601 5TH ST S #504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dishwasher, Disposal, Refrigerator, Range Hood...</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>2017-02-22</td>\n",
       "      <td>185000.0</td>\n",
       "      <td>2017-01-15</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>1872.62</td>\n",
       "      <td>Annually</td>\n",
       "      <td>688</td>\n",
       "      <td>688</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>Summer / Winter Changeover</td>\n",
       "      <td>False</td>\n",
       "      <td>Natural Gas</td>\n",
       "      <td>154100.0</td>\n",
       "      <td>Annually</td>\n",
       "      <td>Floor Plan-Traditional</td>\n",
       "      <td>36400.0</td>\n",
       "      <td>Annually</td>\n",
       "      <td>1</td>\n",
       "      <td>2015-02-27</td>\n",
       "      <td>192500.0</td>\n",
       "      <td>192500.0</td>\n",
       "      <td>Excl. Right</td>\n",
       "      <td>-77.09676</td>\n",
       "      <td>AR8563022</td>\n",
       "      <td>229000.0</td>\n",
       "      <td>Condo</td>\n",
       "      <td>Unassigned</td>\n",
       "      <td>Residential</td>\n",
       "      <td>This condo has been thoroughly renovated just ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5TH</td>\n",
       "      <td>3601.0</td>\n",
       "      <td>Contemporary</td>\n",
       "      <td>23-015-111</td>\n",
       "      <td>190500</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1011</td>\n",
       "      <td>1897.38</td>\n",
       "      <td>1</td>\n",
       "      <td>Mid-Rise 5-8 Floors</td>\n",
       "      <td>1958</td>\n",
       "      <td>1636.0</td>\n",
       "      <td>22204</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1600 OAK ST #1915/1914</td>\n",
       "      <td>Built-in Bookcases, Chair Railing, Crown Moldi...</td>\n",
       "      <td>Cooktop, Dishwasher, Disposal, Dryer, Exhaust ...</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>2017-02-21</td>\n",
       "      <td>1700000.0</td>\n",
       "      <td>2016-11-16</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>514</td>\n",
       "      <td>514</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>Heat Pump(s)</td>\n",
       "      <td>True</td>\n",
       "      <td>Natural Gas</td>\n",
       "      <td>1648000.0</td>\n",
       "      <td>Annually</td>\n",
       "      <td>Floor Plan-Open</td>\n",
       "      <td>122000.0</td>\n",
       "      <td>Annually</td>\n",
       "      <td>1</td>\n",
       "      <td>2015-06-22</td>\n",
       "      <td>1850000.0</td>\n",
       "      <td>1850000.0</td>\n",
       "      <td>Excl. Right</td>\n",
       "      <td>-77.07377</td>\n",
       "      <td>AR8673996</td>\n",
       "      <td>2800000.0</td>\n",
       "      <td>Condo</td>\n",
       "      <td>Garage</td>\n",
       "      <td>Residential</td>\n",
       "      <td>A blend of two homes-3,390 interior sqft. w/mu...</td>\n",
       "      <td>All Days</td>\n",
       "      <td>OAK</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>Contemporary</td>\n",
       "      <td>17-003-291</td>\n",
       "      <td>1770000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3390</td>\n",
       "      <td>17629.00</td>\n",
       "      <td>1</td>\n",
       "      <td>Hi-Rise 9+ Floors</td>\n",
       "      <td>1986</td>\n",
       "      <td>2760.0</td>\n",
       "      <td>22209</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1719 GREENBRIER ST</td>\n",
       "      <td>Attic - Finished, Automatic Garage Door Opener...</td>\n",
       "      <td>ENERGY STAR Dishwasher, ENERGY STAR Refrigerat...</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>2017-03-03</td>\n",
       "      <td>1625000.0</td>\n",
       "      <td>2017-01-08</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>7353.82</td>\n",
       "      <td>Annually</td>\n",
       "      <td>489</td>\n",
       "      <td>489</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>ENERGY STAR Heating System, Forced Air, Heat P...</td>\n",
       "      <td>False</td>\n",
       "      <td>Natural Gas, 60 or More Gallon Tank</td>\n",
       "      <td>173100.0</td>\n",
       "      <td>Annually</td>\n",
       "      <td>Floor Plan-Open</td>\n",
       "      <td>575000.0</td>\n",
       "      <td>Annually</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-08</td>\n",
       "      <td>1695000.0</td>\n",
       "      <td>1695000.0</td>\n",
       "      <td>Excl. Right</td>\n",
       "      <td>-77.13037</td>\n",
       "      <td>AR8742330</td>\n",
       "      <td>1751000.0</td>\n",
       "      <td>Fee Simple</td>\n",
       "      <td>Garage, Basement Garage, Drvwy/Off Str, Paved ...</td>\n",
       "      <td>Residential</td>\n",
       "      <td>New Custom Arts and Crafts home by Calvert Hom...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GREENBRIER</td>\n",
       "      <td>1719.0</td>\n",
       "      <td>Arts &amp; Crafts</td>\n",
       "      <td>09-016-016</td>\n",
       "      <td>748100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5994</td>\n",
       "      <td>7451.08</td>\n",
       "      <td>1</td>\n",
       "      <td>Detached</td>\n",
       "      <td>2016</td>\n",
       "      <td>3629.0</td>\n",
       "      <td>22205</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3723 FOUR MILE RUN DR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dishwasher, Disposal, Oven / Range - Gas, Refr...</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>2017-01-17</td>\n",
       "      <td>430000.0</td>\n",
       "      <td>2016-12-03</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>3361.86</td>\n",
       "      <td>Annually</td>\n",
       "      <td>121</td>\n",
       "      <td>121</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>Forced Air</td>\n",
       "      <td>False</td>\n",
       "      <td>Natural Gas</td>\n",
       "      <td>152000.0</td>\n",
       "      <td>Annually</td>\n",
       "      <td>Floor Plan-Open</td>\n",
       "      <td>190000.0</td>\n",
       "      <td>Annually</td>\n",
       "      <td>3</td>\n",
       "      <td>2015-09-20</td>\n",
       "      <td>475000.0</td>\n",
       "      <td>475000.0</td>\n",
       "      <td>Excl. Right</td>\n",
       "      <td>-77.09023</td>\n",
       "      <td>AR8747453</td>\n",
       "      <td>450000.0</td>\n",
       "      <td>Fee Simple</td>\n",
       "      <td>Street</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Perfect location!  This is your client's oppor...</td>\n",
       "      <td>All Days</td>\n",
       "      <td>FOUR MILE RUN</td>\n",
       "      <td>3723.0</td>\n",
       "      <td>Federal</td>\n",
       "      <td>31-030-066</td>\n",
       "      <td>342000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3406.32</td>\n",
       "      <td>1</td>\n",
       "      <td>Semi-Detached</td>\n",
       "      <td>1945</td>\n",
       "      <td>2332.0</td>\n",
       "      <td>22206</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2005 KEY BLVD #11579</td>\n",
       "      <td>Bathroom(s) - Ceramic Tile, Countertop(s) - Gr...</td>\n",
       "      <td>Dishwasher, Disposal, Exhaust Fan, Microwave, ...</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>2017-04-07</td>\n",
       "      <td>362000.0</td>\n",
       "      <td>2017-03-06</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>3386.81</td>\n",
       "      <td>Annually</td>\n",
       "      <td>81</td>\n",
       "      <td>81</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>Heat Pump(s), Forced Air</td>\n",
       "      <td>True</td>\n",
       "      <td>Electric</td>\n",
       "      <td>309700.0</td>\n",
       "      <td>Annually</td>\n",
       "      <td>Floor Plan-Traditional</td>\n",
       "      <td>36600.0</td>\n",
       "      <td>Annually</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-12-10</td>\n",
       "      <td>365000.0</td>\n",
       "      <td>365000.0</td>\n",
       "      <td>Excl. Right</td>\n",
       "      <td>-77.08380</td>\n",
       "      <td>AR9823220</td>\n",
       "      <td>369000.0</td>\n",
       "      <td>Condo</td>\n",
       "      <td>Street</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Fully updated 2BR/1BA corner unit in Colonial ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KEY</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>Rambler</td>\n",
       "      <td>16-026-213</td>\n",
       "      <td>346300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>852</td>\n",
       "      <td>3431.80</td>\n",
       "      <td>0</td>\n",
       "      <td>Garden 1-4 Floors</td>\n",
       "      <td>1940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22201</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        FullStreetAddress                                          Amenities  \\\n",
       "0      3601 5TH ST S #504                                                NaN   \n",
       "1  1600 OAK ST #1915/1914  Built-in Bookcases, Chair Railing, Crown Moldi...   \n",
       "2      1719 GREENBRIER ST  Attic - Finished, Automatic Garage Door Opener...   \n",
       "3   3723 FOUR MILE RUN DR                                                NaN   \n",
       "4    2005 KEY BLVD #11579  Bathroom(s) - Ceramic Tile, Countertop(s) - Gr...   \n",
       "\n",
       "                                          Appliances  AssessmentYear Attic  \\\n",
       "0  Dishwasher, Disposal, Refrigerator, Range Hood...          2014.0    No   \n",
       "1  Cooktop, Dishwasher, Disposal, Dryer, Exhaust ...          2015.0    No   \n",
       "2  ENERGY STAR Dishwasher, ENERGY STAR Refrigerat...          2015.0   Yes   \n",
       "3  Dishwasher, Disposal, Oven / Range - Gas, Refr...          2015.0   Yes   \n",
       "4  Dishwasher, Disposal, Exhaust Fan, Microwave, ...          2016.0    No   \n",
       "\n",
       "   Baths  BathsFull  BathsHalf  Beds   CityName   CloseDate  ClosePrice  \\\n",
       "0      1          1          0     2  ARLINGTON  2017-02-22    185000.0   \n",
       "1      3          2          1     3  ARLINGTON  2017-02-21   1700000.0   \n",
       "2      8          7          1     7  ARLINGTON  2017-03-03   1625000.0   \n",
       "3      3          2          1     2  ARLINGTON  2017-01-17    430000.0   \n",
       "4      1          1          0     2  ARLINGTON  2017-04-07    362000.0   \n",
       "\n",
       "  ContractDate     County  CountyTax CountyTaxPaymentFreq  DaysOnMarket  \\\n",
       "0   2017-01-15  ARLINGTON    1872.62             Annually           688   \n",
       "1   2016-11-16  ARLINGTON        NaN                  NaN           514   \n",
       "2   2017-01-08  ARLINGTON    7353.82             Annually           489   \n",
       "3   2016-12-03  ARLINGTON    3361.86             Annually           121   \n",
       "4   2017-03-06  ARLINGTON    3386.81             Annually            81   \n",
       "\n",
       "   DomProperty  Fireplaces  Foreclosure  \\\n",
       "0          688           0        False   \n",
       "1          514           0        False   \n",
       "2          489           1        False   \n",
       "3          121           0        False   \n",
       "4           81           0        False   \n",
       "\n",
       "                                             Heating    HOA  \\\n",
       "0                         Summer / Winter Changeover  False   \n",
       "1                                       Heat Pump(s)   True   \n",
       "2  ENERGY STAR Heating System, Forced Air, Heat P...  False   \n",
       "3                                         Forced Air  False   \n",
       "4                           Heat Pump(s), Forced Air   True   \n",
       "\n",
       "                              HotWater  ImprovementAssessmentAmount  \\\n",
       "0                          Natural Gas                     154100.0   \n",
       "1                          Natural Gas                    1648000.0   \n",
       "2  Natural Gas, 60 or More Gallon Tank                     173100.0   \n",
       "3                          Natural Gas                     152000.0   \n",
       "4                             Electric                     309700.0   \n",
       "\n",
       "  ImprovementAssessmentPaymentFreq        InteriorFeatures  \\\n",
       "0                         Annually  Floor Plan-Traditional   \n",
       "1                         Annually         Floor Plan-Open   \n",
       "2                         Annually         Floor Plan-Open   \n",
       "3                         Annually         Floor Plan-Open   \n",
       "4                         Annually  Floor Plan-Traditional   \n",
       "\n",
       "   LandAssessmentAmount LandAssessmentPaymentFreq  Stories    ListDate  \\\n",
       "0               36400.0                  Annually        1  2015-02-27   \n",
       "1              122000.0                  Annually        1  2015-06-22   \n",
       "2              575000.0                  Annually        4  2015-09-08   \n",
       "3              190000.0                  Annually        3  2015-09-20   \n",
       "4               36600.0                  Annually        1  2016-12-10   \n",
       "\n",
       "   ListPrice  ListingLowPrice  ListingType  Longitude  ListingID  \\\n",
       "0   192500.0         192500.0  Excl. Right  -77.09676  AR8563022   \n",
       "1  1850000.0        1850000.0  Excl. Right  -77.07377  AR8673996   \n",
       "2  1695000.0        1695000.0  Excl. Right  -77.13037  AR8742330   \n",
       "3   475000.0         475000.0  Excl. Right  -77.09023  AR8747453   \n",
       "4   365000.0         365000.0  Excl. Right  -77.08380  AR9823220   \n",
       "\n",
       "   OriginalListPrice   Ownership  \\\n",
       "0           229000.0       Condo   \n",
       "1          2800000.0       Condo   \n",
       "2          1751000.0  Fee Simple   \n",
       "3           450000.0  Fee Simple   \n",
       "4           369000.0       Condo   \n",
       "\n",
       "                                             Parking PropertyType  \\\n",
       "0                                         Unassigned  Residential   \n",
       "1                                             Garage  Residential   \n",
       "2  Garage, Basement Garage, Drvwy/Off Str, Paved ...  Residential   \n",
       "3                                             Street  Residential   \n",
       "4                                             Street  Residential   \n",
       "\n",
       "                                             Remarks  ShowDays     StreetName  \\\n",
       "0  This condo has been thoroughly renovated just ...       NaN            5TH   \n",
       "1  A blend of two homes-3,390 interior sqft. w/mu...  All Days            OAK   \n",
       "2  New Custom Arts and Crafts home by Calvert Hom...       NaN     GREENBRIER   \n",
       "3  Perfect location!  This is your client's oppor...  All Days  FOUR MILE RUN   \n",
       "4  Fully updated 2BR/1BA corner unit in Colonial ...       NaN            KEY   \n",
       "\n",
       "   StreetNumber          Style ListingTaxID  TotalAssessment  TotalOpenHouses  \\\n",
       "0        3601.0   Contemporary   23-015-111           190500                0   \n",
       "1        1600.0   Contemporary   17-003-291          1770000                0   \n",
       "2        1719.0  Arts & Crafts   09-016-016           748100                0   \n",
       "3        3723.0        Federal   31-030-066           342000                0   \n",
       "4        2005.0        Rambler   16-026-213           346300                0   \n",
       "\n",
       "   TotalShowings  LivingArea  TotalTaxes  TotalTours                 Type  \\\n",
       "0              0        1011     1897.38           1  Mid-Rise 5-8 Floors   \n",
       "1              0        3390    17629.00           1    Hi-Rise 9+ Floors   \n",
       "2              0        5994     7451.08           1             Detached   \n",
       "3              1           0     3406.32           1        Semi-Detached   \n",
       "4              0         852     3431.80           0    Garden 1-4 Floors   \n",
       "\n",
       "   YearBuilt    Zip4  PostalCode CloseMonth  \n",
       "0       1958  1636.0       22204         02  \n",
       "1       1986  2760.0       22209         02  \n",
       "2       2016  3629.0       22205         03  \n",
       "3       1945  2332.0       22206         01  \n",
       "4       1940     NaN       22201         04  "
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for ix,row in house_df.iterrows():\n",
    "    house_df.at[ix,\"CloseMonth\"] = row['CloseDate'].split('-')[1]\n",
    "\n",
    "house_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "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>ClosePrice</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CloseMonth</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>01</th>\n",
       "      <td>621377.368750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>02</th>\n",
       "      <td>659519.503030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03</th>\n",
       "      <td>640787.904000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04</th>\n",
       "      <td>682190.573705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05</th>\n",
       "      <td>696128.954605</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               ClosePrice\n",
       "CloseMonth               \n",
       "01          621377.368750\n",
       "02          659519.503030\n",
       "03          640787.904000\n",
       "04          682190.573705\n",
       "05          696128.954605"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean=house_df.groupby(\"CloseMonth\").mean()\n",
    "mean_org=mean[[\"ClosePrice\"]]\n",
    "#mean_org=mean[\"ClosePrice\"]=mean_org=mean[\"ClosePrice\"].map(\"${:,.2f}\".format)\n",
    "mean_org.head()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CloseMonth\n",
       "01    552450.0\n",
       "02    542000.0\n",
       "03    517500.0\n",
       "04    625000.0\n",
       "05    620000.0\n",
       "06    630950.0\n",
       "07    585000.0\n",
       "08    545000.0\n",
       "09    523300.0\n",
       "10    599900.0\n",
       "11    582000.0\n",
       "12    575000.0\n",
       "Name: ClosePrice, dtype: float64"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "median_df=house_df.groupby(\"CloseMonth\").median()\n",
    "median_df=median_df[[\"ClosePrice\"]]\n",
    "mean_org.head()  \n",
    "median_df[\"ClosePrice\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d61bf9b198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.clf()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "mode=house_df.groupby(\"CloseMonth\").agg({'ClosePrice': lambda x:stats.mode(x)[0]})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "mode_data = list(mode['ClosePrice'])\n",
    "mean_data = list(mean_org['ClosePrice'])\n",
    "median_data = list(median_df['ClosePrice'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d61a7ceb38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d613337198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.plot(mean_data,color=\"red\", label=\"Mean Price\")\n",
    "plt.plot(median_data,color=\"green\", label=\"Median Price\")\n",
    "#mode_line,=plt.plot(mode_data,color=\"blue\", label=\"Mode Price\")\n",
    "plt.plot(mode_data,color='blue',label = \"Mode Price\")\n",
    "plt.legend(loc=\"best\")\n",
    "labels=[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"]\n",
    "#loc = np.arange(0,len(labels))\n",
    "plt.xticks(np.arange(0,len(labels)),labels,rotation = 'vertical')\n",
    "plt.title(\"Arlington: Properties price development sold in 2017\\nMean, Median and Mode Price\",fontsize=20)\n",
    "plt.xlabel(\"Months\")\n",
    "plt.ylabel(\"Property Price($)\")\n",
    "plt.show()\n",
    "plt.savefig('real_estate.png')\n",
    "#loc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "merged_df = pd.merge(median_df,mean_org,left_index=True,right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_df = pd.merge(merged_df,mode,left_index=True,right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_df.rename?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_df.rename(columns = {'ClosePrice_x':'Median Price','ClosePrice_y':'Mean Price','ClosePrice':'Mode Price'},inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d61bad7518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "merged_df.plot()\n",
    "plt.xticks(np.arange(0,len(labels)),labels,rotation = 'vertical')\n",
    "plt.title(\"Arlington: Properties sold in 2017\\nMean, Median and Mode Price\")\n",
    "plt.xlabel(\"Months\")\n",
    "plt.ylabel(\"Property Price($)\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "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>YearBuilt</th>\n",
       "      <th>ClosePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1900</td>\n",
       "      <td>2125000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1904</td>\n",
       "      <td>1290000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1905</td>\n",
       "      <td>780000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1907</td>\n",
       "      <td>810000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1909</td>\n",
       "      <td>737900.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   YearBuilt  ClosePrice\n",
       "0       1900   2125000.0\n",
       "1       1904   1290000.0\n",
       "2       1905    780000.0\n",
       "3       1907    810000.0\n",
       "4       1909    737900.0"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "builtyear=house_df.groupby(\"YearBuilt\").mean()[\"ClosePrice\"]\n",
    "builtyear=builtyear.reset_index()\n",
    "builtyear.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d61c11da58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.set(style=\"ticks\")\n",
    "x=builtyear[\"YearBuilt\"]\n",
    "\n",
    "y=builtyear[\"ClosePrice\"]\n",
    "\n",
    "\n",
    "yearbuilt_sns=sns.jointplot(x,y, kind=\"hex\", stat_func=kendalltau, color=\"#c918c9\")\n",
    "\n",
    "yearbuilt_sns=yearbuilt_sns.fig.suptitle(\"Price vs Age of the property\\n \",fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "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
   },
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