Housing price proj.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <center> Housing Price Timeline</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd #datastructure &tools\n",
    "#scipy functions & datavisualization\n",
    "#visualization libraries\n",
    "#matplotlib , seaborn\n",
    "import matplotlib.pyplot as plt \n",
    "#algorithm libraries\n",
    "#scikit-learn - regression\n",
    "#statsmodels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>RegionID</th>\n",
       "      <th>SizeRank</th>\n",
       "      <th>RegionName</th>\n",
       "      <th>RegionType</th>\n",
       "      <th>StateName</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "      <th>Metro</th>\n",
       "      <th>CountyName</th>\n",
       "      <th>1996-01-31</th>\n",
       "      <th>...</th>\n",
       "      <th>2019-06-30</th>\n",
       "      <th>2019-07-31</th>\n",
       "      <th>2019-08-31</th>\n",
       "      <th>2019-09-30</th>\n",
       "      <th>2019-10-31</th>\n",
       "      <th>2019-11-30</th>\n",
       "      <th>2019-12-31</th>\n",
       "      <th>2020-01-31</th>\n",
       "      <th>2020-02-29</th>\n",
       "      <th>2020-03-31</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>61639</td>\n",
       "      <td>0</td>\n",
       "      <td>10025</td>\n",
       "      <td>Zip</td>\n",
       "      <td>NY</td>\n",
       "      <td>NY</td>\n",
       "      <td>New York</td>\n",
       "      <td>New York-Newark-Jersey City</td>\n",
       "      <td>New York County</td>\n",
       "      <td>222928.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1247957.0</td>\n",
       "      <td>1237765.0</td>\n",
       "      <td>1217910.0</td>\n",
       "      <td>1202019.0</td>\n",
       "      <td>1187806.0</td>\n",
       "      <td>1181753.0</td>\n",
       "      <td>1175189.0</td>\n",
       "      <td>1152836.0</td>\n",
       "      <td>1122702.0</td>\n",
       "      <td>1085142.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>84654</td>\n",
       "      <td>1</td>\n",
       "      <td>60657</td>\n",
       "      <td>Zip</td>\n",
       "      <td>IL</td>\n",
       "      <td>IL</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>Chicago-Naperville-Elgin</td>\n",
       "      <td>Cook County</td>\n",
       "      <td>210254.0</td>\n",
       "      <td>...</td>\n",
       "      <td>491901.0</td>\n",
       "      <td>492090.0</td>\n",
       "      <td>491467.0</td>\n",
       "      <td>490569.0</td>\n",
       "      <td>489634.0</td>\n",
       "      <td>488733.0</td>\n",
       "      <td>488090.0</td>\n",
       "      <td>488145.0</td>\n",
       "      <td>489488.0</td>\n",
       "      <td>491246.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>61637</td>\n",
       "      <td>2</td>\n",
       "      <td>10023</td>\n",
       "      <td>Zip</td>\n",
       "      <td>NY</td>\n",
       "      <td>NY</td>\n",
       "      <td>New York</td>\n",
       "      <td>New York-Newark-Jersey City</td>\n",
       "      <td>New York County</td>\n",
       "      <td>249810.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1202909.0</td>\n",
       "      <td>1200070.0</td>\n",
       "      <td>1192096.0</td>\n",
       "      <td>1176335.0</td>\n",
       "      <td>1166441.0</td>\n",
       "      <td>1168883.0</td>\n",
       "      <td>1188089.0</td>\n",
       "      <td>1207863.0</td>\n",
       "      <td>1221435.0</td>\n",
       "      <td>1221711.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>91982</td>\n",
       "      <td>3</td>\n",
       "      <td>77494</td>\n",
       "      <td>Zip</td>\n",
       "      <td>TX</td>\n",
       "      <td>TX</td>\n",
       "      <td>Katy</td>\n",
       "      <td>Houston-The Woodlands-Sugar Land</td>\n",
       "      <td>Harris County</td>\n",
       "      <td>200343.0</td>\n",
       "      <td>...</td>\n",
       "      <td>335353.0</td>\n",
       "      <td>335695.0</td>\n",
       "      <td>335756.0</td>\n",
       "      <td>335907.0</td>\n",
       "      <td>335933.0</td>\n",
       "      <td>335897.0</td>\n",
       "      <td>335966.0</td>\n",
       "      <td>335670.0</td>\n",
       "      <td>335844.0</td>\n",
       "      <td>336286.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>84616</td>\n",
       "      <td>4</td>\n",
       "      <td>60614</td>\n",
       "      <td>Zip</td>\n",
       "      <td>IL</td>\n",
       "      <td>IL</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>Chicago-Naperville-Elgin</td>\n",
       "      <td>Cook County</td>\n",
       "      <td>284417.0</td>\n",
       "      <td>...</td>\n",
       "      <td>643892.0</td>\n",
       "      <td>643827.0</td>\n",
       "      <td>643100.0</td>\n",
       "      <td>641800.0</td>\n",
       "      <td>640753.0</td>\n",
       "      <td>639321.0</td>\n",
       "      <td>637969.0</td>\n",
       "      <td>637587.0</td>\n",
       "      <td>637683.0</td>\n",
       "      <td>638027.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 300 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   RegionID  SizeRank  RegionName RegionType StateName State      City  \\\n",
       "0     61639         0       10025        Zip        NY    NY  New York   \n",
       "1     84654         1       60657        Zip        IL    IL   Chicago   \n",
       "2     61637         2       10023        Zip        NY    NY  New York   \n",
       "3     91982         3       77494        Zip        TX    TX      Katy   \n",
       "4     84616         4       60614        Zip        IL    IL   Chicago   \n",
       "\n",
       "                              Metro       CountyName  1996-01-31  ...  \\\n",
       "0       New York-Newark-Jersey City  New York County    222928.0  ...   \n",
       "1          Chicago-Naperville-Elgin      Cook County    210254.0  ...   \n",
       "2       New York-Newark-Jersey City  New York County    249810.0  ...   \n",
       "3  Houston-The Woodlands-Sugar Land    Harris County    200343.0  ...   \n",
       "4          Chicago-Naperville-Elgin      Cook County    284417.0  ...   \n",
       "\n",
       "   2019-06-30  2019-07-31  2019-08-31  2019-09-30  2019-10-31  2019-11-30  \\\n",
       "0   1247957.0   1237765.0   1217910.0   1202019.0   1187806.0   1181753.0   \n",
       "1    491901.0    492090.0    491467.0    490569.0    489634.0    488733.0   \n",
       "2   1202909.0   1200070.0   1192096.0   1176335.0   1166441.0   1168883.0   \n",
       "3    335353.0    335695.0    335756.0    335907.0    335933.0    335897.0   \n",
       "4    643892.0    643827.0    643100.0    641800.0    640753.0    639321.0   \n",
       "\n",
       "   2019-12-31  2020-01-31  2020-02-29  2020-03-31  \n",
       "0   1175189.0   1152836.0   1122702.0   1085142.0  \n",
       "1    488090.0    488145.0    489488.0    491246.0  \n",
       "2   1188089.0   1207863.0   1221435.0   1221711.0  \n",
       "3    335966.0    335670.0    335844.0    336286.0  \n",
       "4    637969.0    637587.0    637683.0    638027.0  \n",
       "\n",
       "[5 rows x 300 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Download the path monthly\n",
    "csv_path = \"Zip_Zhvi_AllHomes.csv\"\n",
    "df = pd.read_csv(csv_path) # df = data frame\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "cal_prices = df.loc[df[\"State\"] == 'CA']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "cv_city_names = (\"Cathedral City\", \"Indio\", \"La Quinta\", \"Desert Hot Springs\", \"Rancho Mirage\", \"Thousand Palms\", \"Palm Desert\",\"Palm Springs\",\"Indian Wells\")  \n",
    "cv_prices = cal_prices[cal_prices.City.str.contains('|'.join(cv_city_names))]\n",
    "cv_prices = cv_prices.loc[691:24119, 'RegionName':'2020-03-31']\n",
    "cv_prices = cv_prices.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "dates = cv_prices.columns[7:].to_list()#MAybe not needed\n",
    "zip_codes = cv_prices['RegionName'].to_list()\n",
    "city_names = cv_prices['City'].to_list()\n",
    "merg_list = zip (zip_codes, city_names)\n",
    "loc_dict = dict(merg_list)\n",
    "cv_prices = cv_prices.drop(columns=['RegionType','StateName','State','Metro','CountyName','City'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RegionName</th>\n",
       "      <th>1996-01-31</th>\n",
       "      <th>1996-02-29</th>\n",
       "      <th>1996-03-31</th>\n",
       "      <th>1996-04-30</th>\n",
       "      <th>1996-05-31</th>\n",
       "      <th>1996-06-30</th>\n",
       "      <th>1996-07-31</th>\n",
       "      <th>1996-08-31</th>\n",
       "      <th>1996-09-30</th>\n",
       "      <th>...</th>\n",
       "      <th>2019-06-30</th>\n",
       "      <th>2019-07-31</th>\n",
       "      <th>2019-08-31</th>\n",
       "      <th>2019-09-30</th>\n",
       "      <th>2019-10-31</th>\n",
       "      <th>2019-11-30</th>\n",
       "      <th>2019-12-31</th>\n",
       "      <th>2020-01-31</th>\n",
       "      <th>2020-02-29</th>\n",
       "      <th>2020-03-31</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>13.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
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       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>92240.384615</td>\n",
       "      <td>153763.250000</td>\n",
       "      <td>153054.250000</td>\n",
       "      <td>152512.416667</td>\n",
       "      <td>151453.583333</td>\n",
       "      <td>150653.916667</td>\n",
       "      <td>150141.833333</td>\n",
       "      <td>149721.333333</td>\n",
       "      <td>149644.416667</td>\n",
       "      <td>149477.416667</td>\n",
       "      <td>...</td>\n",
       "      <td>377969.384615</td>\n",
       "      <td>379879.230769</td>\n",
       "      <td>382078.461538</td>\n",
       "      <td>383766.076923</td>\n",
       "      <td>385415.000000</td>\n",
       "      <td>386101.000000</td>\n",
       "      <td>387878.230769</td>\n",
       "      <td>388197.461538</td>\n",
       "      <td>389037.076923</td>\n",
       "      <td>389470.923077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>26.600559</td>\n",
       "      <td>81128.211949</td>\n",
       "      <td>80322.398827</td>\n",
       "      <td>79814.617362</td>\n",
       "      <td>78988.848828</td>\n",
       "      <td>78640.455272</td>\n",
       "      <td>78541.105165</td>\n",
       "      <td>78516.768766</td>\n",
       "      <td>78713.466104</td>\n",
       "      <td>78829.524219</td>\n",
       "      <td>...</td>\n",
       "      <td>139846.074042</td>\n",
       "      <td>139917.641550</td>\n",
       "      <td>140042.069126</td>\n",
       "      <td>139912.474467</td>\n",
       "      <td>140061.602821</td>\n",
       "      <td>139762.914734</td>\n",
       "      <td>139987.849224</td>\n",
       "      <td>139313.175858</td>\n",
       "      <td>138815.572590</td>\n",
       "      <td>137920.066476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>92201.000000</td>\n",
       "      <td>65985.000000</td>\n",
       "      <td>66171.000000</td>\n",
       "      <td>66446.000000</td>\n",
       "      <td>66915.000000</td>\n",
       "      <td>67213.000000</td>\n",
       "      <td>67607.000000</td>\n",
       "      <td>67867.000000</td>\n",
       "      <td>68421.000000</td>\n",
       "      <td>68661.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>225416.000000</td>\n",
       "      <td>226294.000000</td>\n",
       "      <td>227500.000000</td>\n",
       "      <td>228569.000000</td>\n",
       "      <td>230247.000000</td>\n",
       "      <td>231383.000000</td>\n",
       "      <td>233175.000000</td>\n",
       "      <td>233997.000000</td>\n",
       "      <td>234994.000000</td>\n",
       "      <td>235903.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>92211.000000</td>\n",
       "      <td>99809.500000</td>\n",
       "      <td>99355.250000</td>\n",
       "      <td>98999.250000</td>\n",
       "      <td>98315.500000</td>\n",
       "      <td>97849.750000</td>\n",
       "      <td>97408.750000</td>\n",
       "      <td>96851.000000</td>\n",
       "      <td>96560.500000</td>\n",
       "      <td>96337.250000</td>\n",
       "      <td>...</td>\n",
       "      <td>288148.000000</td>\n",
       "      <td>289660.000000</td>\n",
       "      <td>291245.000000</td>\n",
       "      <td>292372.000000</td>\n",
       "      <td>294034.000000</td>\n",
       "      <td>294849.000000</td>\n",
       "      <td>296608.000000</td>\n",
       "      <td>297038.000000</td>\n",
       "      <td>297854.000000</td>\n",
       "      <td>298335.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>92241.000000</td>\n",
       "      <td>134432.500000</td>\n",
       "      <td>133796.000000</td>\n",
       "      <td>133229.500000</td>\n",
       "      <td>132303.000000</td>\n",
       "      <td>131574.000000</td>\n",
       "      <td>130969.500000</td>\n",
       "      <td>130304.000000</td>\n",
       "      <td>129977.000000</td>\n",
       "      <td>129781.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>359666.000000</td>\n",
       "      <td>360956.000000</td>\n",
       "      <td>362386.000000</td>\n",
       "      <td>363433.000000</td>\n",
       "      <td>364979.000000</td>\n",
       "      <td>365636.000000</td>\n",
       "      <td>367278.000000</td>\n",
       "      <td>367310.000000</td>\n",
       "      <td>367601.000000</td>\n",
       "      <td>367347.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>92262.000000</td>\n",
       "      <td>177898.750000</td>\n",
       "      <td>177203.750000</td>\n",
       "      <td>176714.750000</td>\n",
       "      <td>175720.000000</td>\n",
       "      <td>175007.000000</td>\n",
       "      <td>174447.250000</td>\n",
       "      <td>173918.750000</td>\n",
       "      <td>173787.000000</td>\n",
       "      <td>173786.750000</td>\n",
       "      <td>...</td>\n",
       "      <td>441051.000000</td>\n",
       "      <td>444458.000000</td>\n",
       "      <td>448377.000000</td>\n",
       "      <td>451490.000000</td>\n",
       "      <td>452700.000000</td>\n",
       "      <td>452644.000000</td>\n",
       "      <td>454034.000000</td>\n",
       "      <td>454391.000000</td>\n",
       "      <td>455053.000000</td>\n",
       "      <td>455309.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>92276.000000</td>\n",
       "      <td>354735.000000</td>\n",
       "      <td>351708.000000</td>\n",
       "      <td>349705.000000</td>\n",
       "      <td>346214.000000</td>\n",
       "      <td>344183.000000</td>\n",
       "      <td>343442.000000</td>\n",
       "      <td>343096.000000</td>\n",
       "      <td>343905.000000</td>\n",
       "      <td>344010.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>739622.000000</td>\n",
       "      <td>741774.000000</td>\n",
       "      <td>744337.000000</td>\n",
       "      <td>745797.000000</td>\n",
       "      <td>747972.000000</td>\n",
       "      <td>747834.000000</td>\n",
       "      <td>749943.000000</td>\n",
       "      <td>748334.000000</td>\n",
       "      <td>747902.000000</td>\n",
       "      <td>745907.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 292 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         RegionName     1996-01-31     1996-02-29     1996-03-31  \\\n",
       "count     13.000000      12.000000      12.000000      12.000000   \n",
       "mean   92240.384615  153763.250000  153054.250000  152512.416667   \n",
       "std       26.600559   81128.211949   80322.398827   79814.617362   \n",
       "min    92201.000000   65985.000000   66171.000000   66446.000000   \n",
       "25%    92211.000000   99809.500000   99355.250000   98999.250000   \n",
       "50%    92241.000000  134432.500000  133796.000000  133229.500000   \n",
       "75%    92262.000000  177898.750000  177203.750000  176714.750000   \n",
       "max    92276.000000  354735.000000  351708.000000  349705.000000   \n",
       "\n",
       "          1996-04-30     1996-05-31     1996-06-30     1996-07-31  \\\n",
       "count      12.000000      12.000000      12.000000      12.000000   \n",
       "mean   151453.583333  150653.916667  150141.833333  149721.333333   \n",
       "std     78988.848828   78640.455272   78541.105165   78516.768766   \n",
       "min     66915.000000   67213.000000   67607.000000   67867.000000   \n",
       "25%     98315.500000   97849.750000   97408.750000   96851.000000   \n",
       "50%    132303.000000  131574.000000  130969.500000  130304.000000   \n",
       "75%    175720.000000  175007.000000  174447.250000  173918.750000   \n",
       "max    346214.000000  344183.000000  343442.000000  343096.000000   \n",
       "\n",
       "          1996-08-31     1996-09-30  ...     2019-06-30     2019-07-31  \\\n",
       "count      12.000000      12.000000  ...      13.000000      13.000000   \n",
       "mean   149644.416667  149477.416667  ...  377969.384615  379879.230769   \n",
       "std     78713.466104   78829.524219  ...  139846.074042  139917.641550   \n",
       "min     68421.000000   68661.000000  ...  225416.000000  226294.000000   \n",
       "25%     96560.500000   96337.250000  ...  288148.000000  289660.000000   \n",
       "50%    129977.000000  129781.000000  ...  359666.000000  360956.000000   \n",
       "75%    173787.000000  173786.750000  ...  441051.000000  444458.000000   \n",
       "max    343905.000000  344010.000000  ...  739622.000000  741774.000000   \n",
       "\n",
       "          2019-08-31     2019-09-30     2019-10-31     2019-11-30  \\\n",
       "count      13.000000      13.000000      13.000000      13.000000   \n",
       "mean   382078.461538  383766.076923  385415.000000  386101.000000   \n",
       "std    140042.069126  139912.474467  140061.602821  139762.914734   \n",
       "min    227500.000000  228569.000000  230247.000000  231383.000000   \n",
       "25%    291245.000000  292372.000000  294034.000000  294849.000000   \n",
       "50%    362386.000000  363433.000000  364979.000000  365636.000000   \n",
       "75%    448377.000000  451490.000000  452700.000000  452644.000000   \n",
       "max    744337.000000  745797.000000  747972.000000  747834.000000   \n",
       "\n",
       "          2019-12-31     2020-01-31     2020-02-29     2020-03-31  \n",
       "count      13.000000      13.000000      13.000000      13.000000  \n",
       "mean   387878.230769  388197.461538  389037.076923  389470.923077  \n",
       "std    139987.849224  139313.175858  138815.572590  137920.066476  \n",
       "min    233175.000000  233997.000000  234994.000000  235903.000000  \n",
       "25%    296608.000000  297038.000000  297854.000000  298335.000000  \n",
       "50%    367278.000000  367310.000000  367601.000000  367347.000000  \n",
       "75%    454034.000000  454391.000000  455053.000000  455309.000000  \n",
       "max    749943.000000  748334.000000  747902.000000  745907.000000  \n",
       "\n",
       "[8 rows x 292 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_prices.dtypes\n",
    "cv_prices.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>RegionName</th>\n",
       "      <th>92201.0</th>\n",
       "      <th>92253.0</th>\n",
       "      <th>92234.0</th>\n",
       "      <th>92260.0</th>\n",
       "      <th>92211.0</th>\n",
       "      <th>92262.0</th>\n",
       "      <th>92240.0</th>\n",
       "      <th>92264.0</th>\n",
       "      <th>92203.0</th>\n",
       "      <th>92270.0</th>\n",
       "      <th>92241.0</th>\n",
       "      <th>92210.0</th>\n",
       "      <th>92276.0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1996-01-31</th>\n",
       "      <td>102880.0</td>\n",
       "      <td>197083.0</td>\n",
       "      <td>101030.0</td>\n",
       "      <td>150643.0</td>\n",
       "      <td>171504.0</td>\n",
       "      <td>96148.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>118222.0</td>\n",
       "      <td>162244.0</td>\n",
       "      <td>239583.0</td>\n",
       "      <td>85102.0</td>\n",
       "      <td>354735.0</td>\n",
       "      <td>65985.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-02-29</th>\n",
       "      <td>102544.0</td>\n",
       "      <td>196220.0</td>\n",
       "      <td>100586.0</td>\n",
       "      <td>150059.0</td>\n",
       "      <td>170865.0</td>\n",
       "      <td>95663.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>117533.0</td>\n",
       "      <td>161416.0</td>\n",
       "      <td>238361.0</td>\n",
       "      <td>85525.0</td>\n",
       "      <td>351708.0</td>\n",
       "      <td>66171.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-03-31</th>\n",
       "      <td>102490.0</td>\n",
       "      <td>195800.0</td>\n",
       "      <td>100246.0</td>\n",
       "      <td>149457.0</td>\n",
       "      <td>170353.0</td>\n",
       "      <td>95259.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>117002.0</td>\n",
       "      <td>161185.0</td>\n",
       "      <td>237210.0</td>\n",
       "      <td>84996.0</td>\n",
       "      <td>349705.0</td>\n",
       "      <td>66446.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-04-30</th>\n",
       "      <td>102210.0</td>\n",
       "      <td>194875.0</td>\n",
       "      <td>99647.0</td>\n",
       "      <td>148371.0</td>\n",
       "      <td>169335.0</td>\n",
       "      <td>94321.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116235.0</td>\n",
       "      <td>160142.0</td>\n",
       "      <td>235475.0</td>\n",
       "      <td>83703.0</td>\n",
       "      <td>346214.0</td>\n",
       "      <td>66915.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-05-31</th>\n",
       "      <td>102043.0</td>\n",
       "      <td>194393.0</td>\n",
       "      <td>99285.0</td>\n",
       "      <td>147414.0</td>\n",
       "      <td>168545.0</td>\n",
       "      <td>93544.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>115734.0</td>\n",
       "      <td>159918.0</td>\n",
       "      <td>234265.0</td>\n",
       "      <td>81310.0</td>\n",
       "      <td>344183.0</td>\n",
       "      <td>67213.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2019-11-30</th>\n",
       "      <td>294849.0</td>\n",
       "      <td>457676.0</td>\n",
       "      <td>323437.0</td>\n",
       "      <td>372499.0</td>\n",
       "      <td>355816.0</td>\n",
       "      <td>452644.0</td>\n",
       "      <td>231383.0</td>\n",
       "      <td>395258.0</td>\n",
       "      <td>365636.0</td>\n",
       "      <td>522758.0</td>\n",
       "      <td>236456.0</td>\n",
       "      <td>747834.0</td>\n",
       "      <td>263067.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31</th>\n",
       "      <td>296608.0</td>\n",
       "      <td>459991.0</td>\n",
       "      <td>325611.0</td>\n",
       "      <td>373921.0</td>\n",
       "      <td>357652.0</td>\n",
       "      <td>454034.0</td>\n",
       "      <td>233175.0</td>\n",
       "      <td>396512.0</td>\n",
       "      <td>367278.0</td>\n",
       "      <td>525516.0</td>\n",
       "      <td>237372.0</td>\n",
       "      <td>749943.0</td>\n",
       "      <td>264804.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-31</th>\n",
       "      <td>297038.0</td>\n",
       "      <td>459957.0</td>\n",
       "      <td>326141.0</td>\n",
       "      <td>373908.0</td>\n",
       "      <td>357584.0</td>\n",
       "      <td>454391.0</td>\n",
       "      <td>233997.0</td>\n",
       "      <td>396894.0</td>\n",
       "      <td>367310.0</td>\n",
       "      <td>525816.0</td>\n",
       "      <td>239118.0</td>\n",
       "      <td>748334.0</td>\n",
       "      <td>266079.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-29</th>\n",
       "      <td>297854.0</td>\n",
       "      <td>460724.0</td>\n",
       "      <td>327255.0</td>\n",
       "      <td>374336.0</td>\n",
       "      <td>358000.0</td>\n",
       "      <td>455053.0</td>\n",
       "      <td>234994.0</td>\n",
       "      <td>397565.0</td>\n",
       "      <td>367601.0</td>\n",
       "      <td>526683.0</td>\n",
       "      <td>241059.0</td>\n",
       "      <td>747902.0</td>\n",
       "      <td>268456.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-31</th>\n",
       "      <td>298335.0</td>\n",
       "      <td>461236.0</td>\n",
       "      <td>327942.0</td>\n",
       "      <td>374176.0</td>\n",
       "      <td>358050.0</td>\n",
       "      <td>455309.0</td>\n",
       "      <td>235903.0</td>\n",
       "      <td>397643.0</td>\n",
       "      <td>367347.0</td>\n",
       "      <td>526952.0</td>\n",
       "      <td>243619.0</td>\n",
       "      <td>745907.0</td>\n",
       "      <td>270703.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>291 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "RegionName   92201.0   92253.0   92234.0   92260.0   92211.0   92262.0  \\\n",
       "1996-01-31  102880.0  197083.0  101030.0  150643.0  171504.0   96148.0   \n",
       "1996-02-29  102544.0  196220.0  100586.0  150059.0  170865.0   95663.0   \n",
       "1996-03-31  102490.0  195800.0  100246.0  149457.0  170353.0   95259.0   \n",
       "1996-04-30  102210.0  194875.0   99647.0  148371.0  169335.0   94321.0   \n",
       "1996-05-31  102043.0  194393.0   99285.0  147414.0  168545.0   93544.0   \n",
       "...              ...       ...       ...       ...       ...       ...   \n",
       "2019-11-30  294849.0  457676.0  323437.0  372499.0  355816.0  452644.0   \n",
       "2019-12-31  296608.0  459991.0  325611.0  373921.0  357652.0  454034.0   \n",
       "2020-01-31  297038.0  459957.0  326141.0  373908.0  357584.0  454391.0   \n",
       "2020-02-29  297854.0  460724.0  327255.0  374336.0  358000.0  455053.0   \n",
       "2020-03-31  298335.0  461236.0  327942.0  374176.0  358050.0  455309.0   \n",
       "\n",
       "RegionName   92240.0   92264.0   92203.0   92270.0   92241.0   92210.0  \\\n",
       "1996-01-31       NaN  118222.0  162244.0  239583.0   85102.0  354735.0   \n",
       "1996-02-29       NaN  117533.0  161416.0  238361.0   85525.0  351708.0   \n",
       "1996-03-31       NaN  117002.0  161185.0  237210.0   84996.0  349705.0   \n",
       "1996-04-30       NaN  116235.0  160142.0  235475.0   83703.0  346214.0   \n",
       "1996-05-31       NaN  115734.0  159918.0  234265.0   81310.0  344183.0   \n",
       "...              ...       ...       ...       ...       ...       ...   \n",
       "2019-11-30  231383.0  395258.0  365636.0  522758.0  236456.0  747834.0   \n",
       "2019-12-31  233175.0  396512.0  367278.0  525516.0  237372.0  749943.0   \n",
       "2020-01-31  233997.0  396894.0  367310.0  525816.0  239118.0  748334.0   \n",
       "2020-02-29  234994.0  397565.0  367601.0  526683.0  241059.0  747902.0   \n",
       "2020-03-31  235903.0  397643.0  367347.0  526952.0  243619.0  745907.0   \n",
       "\n",
       "RegionName   92276.0  \n",
       "1996-01-31   65985.0  \n",
       "1996-02-29   66171.0  \n",
       "1996-03-31   66446.0  \n",
       "1996-04-30   66915.0  \n",
       "1996-05-31   67213.0  \n",
       "...              ...  \n",
       "2019-11-30  263067.0  \n",
       "2019-12-31  264804.0  \n",
       "2020-01-31  266079.0  \n",
       "2020-02-29  268456.0  \n",
       "2020-03-31  270703.0  \n",
       "\n",
       "[291 rows x 13 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_format = cv_prices.T\n",
    "new_headers = cv_format.iloc[0]\n",
    "cv_format = cv_format[1:]\n",
    "cv_format.columns = new_headers\n",
    "cv_format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "a =cv_format.index.values\n",
    "x_values = [datetime.strptime(d,\"%Y-%m-%d\").date() for d in a]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# style\n",
    "plt.style.use('ggplot')\n",
    "#print(plt.style.available)\n",
    "#Refernce: https://matplotlib.org/3.1.1/gallery/style_sheets/style_sheets_reference.html\n",
    "    \n",
    "# create a color palette\n",
    "palette = plt.get_cmap('tab10')\n",
    "#https://matplotlib.org/tutorials/colors/colormaps.html\n",
    "    \n",
    "# multiple line plot\n",
    "num=0\n",
    "plt.rcParams['figure.figsize'] = [14, 10]\n",
    "for column in cv_format.drop(92201.0, axis=1):\n",
    "    num+=1\n",
    "    plt.plot(x_values, cv_format[column], marker='', color=palette(num), linewidth=1, alpha=0.9, label=loc_dict[column])\n",
    "    \n",
    "# Add legend\n",
    "plt.legend(loc=2, ncol=2,framealpha=0.1)\n",
    " \n",
    "# Add titles\n",
    "plt.title(\"Spaghetti plot\", loc='center', fontsize=12, fontweight=0, color='orange')\n",
    "plt.xlabel(\"Time (Years)\",fontsize=18)\n",
    "plt.ylabel(\"Price (US Dollars)\",fontsize=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "La Quinta\n",
      "Cathedral City\n",
      "Palm Desert\n",
      "Palm Desert\n",
      "Palm Springs\n",
      "Desert Hot Springs\n",
      "Palm Springs\n",
      "Indio\n",
      "Rancho Mirage\n",
      "Desert Hot Springs\n",
      "Indian Wells\n",
      "Thousand Palms\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initialize the figure\n",
    "plt.style.use('seaborn-darkgrid')\n",
    " \n",
    "# create a color palette\n",
    "palette = plt.get_cmap('Set1')\n",
    " \n",
    "# multiple line plot\n",
    "num=0\n",
    "for column in cv_format.drop(92201.0, axis=1):\n",
    "    num+=1\n",
    " \n",
    "    # Find the right spot on the plot\n",
    "    plt.subplot(4,3, num)\n",
    " \n",
    "    # Plot the lineplot\n",
    "    #plt.plot(x_values, cv_format[column], marker='', color=palette(num), linewidth=1.9, alpha=0.9, label=column)\n",
    "    plt.plot(x_values, cv_format[column], marker='', color=palette(num), linewidth=1, alpha=0.9, label=loc_dict[column])\n",
    "    print(loc_dict[column])\n",
    "        \n",
    "    # Same limits for everybody!\n",
    "    #plt.xlim(0,10)\n",
    "    #plt.ylim(-2,22)\n",
    " \n",
    "    # Not ticks everywhere\n",
    "    \"\"\"\n",
    "    if num in range(7) :\n",
    "        plt.tick_params(labelbottom='off')\n",
    "    if num not in [1,4,7] :\n",
    "        plt.tick_params(labelleft='off')\n",
    "     \"\"\" \n",
    "    # Add title\n",
    "    plt.title(column, loc='left', fontsize=12, fontweight=0, color=palette(num) )\n",
    " \n",
    "# general title\n",
    "#plt.suptitle(\"How the 9 students improved\\nthese past few days?\", fontsize=13, fontweight=0, color='black', style='italic', y=1.02)\n",
    " \n",
    "# Axis title\n",
    "#plt.text(0.5, 0.02, 'Time', ha='center', va='center')\n",
    "#plt.text(0.06, 0.5, 'Note', ha='center', va='center', rotation='vertical')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize the figure\n",
    "plt.style.use('seaborn-darkgrid')\n",
    " \n",
    "# create a color palette\n",
    "palette = plt.get_cmap('Set1')\n",
    " \n",
    "# multiple line plot\n",
    "num=0\n",
    "for column in cv_format.drop(92201.0, axis=1):\n",
    "    num+=1\n",
    " \n",
    "    # Find the right spot on the plot\n",
    "    plt.subplot(4,4, num)\n",
    " \n",
    "    # plot every groups, but discreet\n",
    "    for v in cv_format.drop(92201.0, axis=1):\n",
    "        plt.plot(x_values, cv_format[v], marker='', color='grey', linewidth=0.6, alpha=0.3)\n",
    " \n",
    "    # Plot the lineplot\n",
    "    plt.plot(x_values, cv_format[column], marker='', color=palette(num), linewidth=2.4, alpha=0.9, label=loc_dict[column])\n",
    " \n",
    "    # Same limits for everybody!\n",
    "    #plt.xlim(0,10)\n",
    "    #plt.ylim(-2,22)\n",
    " \n",
    "    # Not ticks everywhere\n",
    "    \"\"\"\n",
    "    if num in range(7) :\n",
    "        plt.tick_params(labelbottom='off')\n",
    "    if num not in [1,4,7] :\n",
    "        plt.tick_params(labelleft='off')\n",
    " \n",
    "    # Add title\n",
    "    plt.title(column, loc='left', fontsize=12, fontweight=0, color=palette(num) )\n",
    "     \n",
    "# general title\n",
    "plt.suptitle(\"How the 9 students improved\\nthese past few days?\", fontsize=13, fontweight=0, color='black', style='italic', y=1.02)\n",
    " \n",
    "# Axis title\n",
    "plt.text(0.5, 0.02, 'Time', ha='center', va='center')\n",
    "plt.text(0.06, 0.5, 'Note', ha='center', va='center', rotation='vertical')\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#multiple linear regresion to get above predictor \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#Make a Dashboard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_dashboard(x, gdp_change, unemployment, title, file_name):\n",
    "    #output_file(file_name)\n",
    "    p = figure(title=title, x_axis_label='year', y_axis_label='%')\n",
    "    p.line(x.squeeze(), gdp_change.squeeze(), color=\"firebrick\", line_width=4, legend=\"% GDP change\")\n",
    "    p.line(x.squeeze(), unemployment.squeeze(), line_width=4, legend=\"% unemployed\")\n",
    "    show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## By Knowing certain features I can predict price range of house\n",
    "use a linear model "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({'foo': ['one', 'one', 'one', 'two', 'two','two'],\n",
    "                   'bar': ['A', 'B', 'C', 'A', 'B', 'C'],\n",
    "                   'baz': [1, 2, 3, 4, 5, 6],\n",
    "                   'zoo': ['x', 'y', 'z', 'q', 'w', 't']})\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for column in df.drop('bar', axis=1):\n",
    "    print(column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = df.iloc[:,0].to_list()\n",
    "type(a[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a =(df.index.values)\n",
    "type(a[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Row_list =[] \n",
    "  \n",
    "# Iterate over each row \n",
    "for index, rows in df.iterrows(): \n",
    "    # Create list for the current row \n",
    "    print(rows[1:])\n",
    "    my_list =[rows.foo,rows.bar] \n",
    "      \n",
    "    # append the list to the final list \n",
    "    Row_list.append(my_list) \n",
    "  \n",
    "# Print the list \n",
    "print(Row_list) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Work with the dataset\n",
    "https://www.kaggle.com/burhanykiyakoglu/predicting-house-prices\n",
    "\n",
    "https://towardsdatascience.com/predicting-house-prices-with-linear-regression-machine-learning-from-scratch-part-ii-47a0238aeac1\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#Data Resources\n",
    "- Datasets \n",
    "    * http://www.mls.com/Search/California.mvc\n",
    "    * http://www.desertmlssearch.com/\n",
    "    *\n",
    "    \n",
    "- Scraping data \n",
    "    * https://towardsdatascience.com/looking-for-a-house-build-a-web-scraper-to-help-you-5ab25badc83e\n",
    "    \n",
    "    * https://www.scrapehero.com/how-to-scrape-real-estate-listings-on-zillow-com-using-python-and-lxml/\n",
    "    \n",
    "    * https://www.palmspringsluxuryrealty.com/homes-for-sale-results/?cityId%5B%5D=73&cityId%5B%5D=401&cityId%5B%5D=402&cityId%5B%5D=444&cityId%5B%5D=674&cityId%5B%5D=675&cityId%5B%5D=752&propertyType=SFR&cityId%5B%5D=&bedrooms=0&bathCount=0&minListPrice=&maxListPrice=\n",
    "    \n",
    "    * http://www.palmspringsrealestates.com/home-search/desert-area-mls-search/\n",
    "    \n",
    "    * https://realpython.com/beautiful-soup-web-scraper-python/ \n",
    "   * https://my.flexmls.com/palmspringspalmdesert/search/idx_links/20190529005248336809000000/listings\n",
    "    * https://www.mlslistings.com/Search/Result/19c56727-caaf-480e-aa79-546518b72758/1\n",
    "    * https://www.promptcloud.com/blog/scraping-real-estate-data-from-zillow-using-python/\n",
    "    \n",
    " - Housing lookup sites\n",
    "     *  https://www.realtor.com/realestateandhomes-search/92235?view=map&pos=34.02758,-116.608027,33.570533,-116.182307,11&qdm=true\n",
    "     * https://www.fortunebuilders.com/real-estate-license/\n",
    "     \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://www.investopedia.com/terms/m/multiple-listing-service-mls.asp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "understanding the housing market\n",
    "https://www.fortunebuilders.com/comparable-home-sales/\n",
    "https://www.inman.com/2015/05/04/dont-worry-about-listing-data-its-sold-data-thats-going-to-hurt-you/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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