Update housing unstacked with county name

baoalvin1 · Nov 3, 2019 · 15523be · 15523be
1 parent d383abe
commit 15523be
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Showing 2 changed files with 270,136 additions and 267,826 deletions.
diff --git a/Data.ipynb b/Data.ipynb
@@ -16530,7 +16530,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 90,
    "metadata": {},
    "outputs": [
     {
@@ -16673,6 +16673,7 @@
        "      <th>2019-07</th>\n",
        "      <th>2019-08</th>\n",
        "      <th>2019-09</th>\n",
+       "      <th>County State</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -16797,6 +16798,7 @@
        "      <td>174317.0</td>\n",
        "      <td>189000.0</td>\n",
        "      <td>184500.0</td>\n",
+       "      <td>Valdez Cordova , AK</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -16919,6 +16921,7 @@
        "      <td>400000.0</td>\n",
        "      <td>399000.0</td>\n",
        "      <td>397000.0</td>\n",
+       "      <td>Sitka , AK</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -17041,6 +17044,7 @@
        "      <td>279900.0</td>\n",
        "      <td>279000.0</td>\n",
        "      <td>276450.0</td>\n",
+       "      <td>Matanuska Susitna , AK</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -17163,6 +17167,7 @@
        "      <td>319250.0</td>\n",
        "      <td>297250.0</td>\n",
        "      <td>289000.0</td>\n",
+       "      <td>Ketchikan Gateway , AK</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -17285,6 +17290,7 @@
        "      <td>325000.0</td>\n",
        "      <td>325000.0</td>\n",
        "      <td>318000.0</td>\n",
+       "      <td>Anchorage , AK</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -17403,21 +17409,29 @@
        "3  322500.0  300000.0  287000.0  285000.0  280000.0  287250.0  285000.0   \n",
        "4  319638.5  314777.0  310000.0  310000.0  309900.0  310000.0  314000.0   \n",
        "\n",
-       "    2019-03   2019-04   2019-05   2019-06   2019-07   2019-08   2019-09  \n",
-       "0  149500.0  150000.0  172500.0  168036.0  174317.0  189000.0  184500.0  \n",
-       "1  457000.0  424500.0  428500.0  419000.0  400000.0  399000.0  397000.0  \n",
-       "2  276500.0  279950.0  279900.0  279900.0  279900.0  279000.0  276450.0  \n",
-       "3  309000.0  310000.0  329000.0  325000.0  319250.0  297250.0  289000.0  \n",
-       "4  318000.0  329000.0  335000.0  330000.0  325000.0  325000.0  318000.0  "
+       "    2019-03   2019-04   2019-05   2019-06   2019-07   2019-08   2019-09  \\\n",
+       "0  149500.0  150000.0  172500.0  168036.0  174317.0  189000.0  184500.0   \n",
+       "1  457000.0  424500.0  428500.0  419000.0  400000.0  399000.0  397000.0   \n",
+       "2  276500.0  279950.0  279900.0  279900.0  279900.0  279000.0  276450.0   \n",
+       "3  309000.0  310000.0  329000.0  325000.0  319250.0  297250.0  289000.0   \n",
+       "4  318000.0  329000.0  335000.0  330000.0  325000.0  325000.0  318000.0   \n",
+       "\n",
+       "             County State  \n",
+       "0     Valdez Cordova , AK  \n",
+       "1              Sitka , AK  \n",
+       "2  Matanuska Susitna , AK  \n",
+       "3  Ketchikan Gateway , AK  \n",
+       "4          Anchorage , AK  "
       ]
      },
-     "execution_count": 55,
+     "execution_count": 90,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "housing = pd.read_csv(\"data/Housing Parsing.csv\")\n",
+    "housing[\"County State\"] = housing[\"RegionName\"] + \", \" + housing[\"State\"]\n",
     "housing.head()"
    ]
   },
@@ -17431,15 +17445,15 @@
     "i = 0\n",
     "for key, value in housing[housing.columns[2:]].iteritems():\n",
     "    for val in range(len(value)):\n",
-    "        di[i] = {\"region\": housing[\"RegionName\"][val], \"key\": key, \"value\": value[val]}\n",
+    "        di[i] = {\"County State\": housing[\"RegionName\"][val], \"key\": key, \"value\": value[val]}\n",
     "        i = i + 1\n",
     "\n",
     "newHousing = pd.DataFrame.from_dict(di, \"index\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 89,
    "metadata": {},
    "outputs": [
     {
@@ -17907,15 +17921,22 @@
        "[267813 rows x 3 columns]"
       ]
      },
-     "execution_count": 88,
+     "execution_count": 89,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "newHousing.to_csv(\"Ho\")\n",
+    "newHousing.to_csv(\"Housing Unstacked Parsed.csv\")\n",
     "newHousing"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {