Merge pull request #147 from dataquestio/task/casey/py3.8_294

Rerun Mission294Solutions.ipynb in Python 3.8

Mission294Solutions.ipynb

@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -64,26 +64,28 @@
       "<class 'pandas.core.frame.DataFrame'>\n",
       "RangeIndex: 50000 entries, 0 to 49999\n",
       "Data columns (total 20 columns):\n",
-      "dateCrawled            50000 non-null object\n",
-      "name                   50000 non-null object\n",
-      "seller                 50000 non-null object\n",
-      "offerType              50000 non-null object\n",
-      "price                  50000 non-null object\n",
-      "abtest                 50000 non-null object\n",
-      "vehicleType            44905 non-null object\n",
-      "yearOfRegistration     50000 non-null int64\n",
-      "gearbox                47320 non-null object\n",
-      "powerPS                50000 non-null int64\n",
-      "model                  47242 non-null object\n",
-      "odometer               50000 non-null object\n",
-      "monthOfRegistration    50000 non-null int64\n",
-      "fuelType               45518 non-null object\n",
-      "brand                  50000 non-null object\n",
-      "notRepairedDamage      40171 non-null object\n",
-      "dateCreated            50000 non-null object\n",
-      "nrOfPictures           50000 non-null int64\n",
-      "postalCode             50000 non-null int64\n",
-      "lastSeen               50000 non-null object\n",
+      " #   Column               Non-Null Count  Dtype \n",
+      "---  ------               --------------  ----- \n",
+      " 0   dateCrawled          50000 non-null  object\n",
+      " 1   name                 50000 non-null  object\n",
+      " 2   seller               50000 non-null  object\n",
+      " 3   offerType            50000 non-null  object\n",
+      " 4   price                50000 non-null  object\n",
+      " 5   abtest               50000 non-null  object\n",
+      " 6   vehicleType          44905 non-null  object\n",
+      " 7   yearOfRegistration   50000 non-null  int64 \n",
+      " 8   gearbox              47320 non-null  object\n",
+      " 9   powerPS              50000 non-null  int64 \n",
+      " 10  model                47242 non-null  object\n",
+      " 11  odometer             50000 non-null  object\n",
+      " 12  monthOfRegistration  50000 non-null  int64 \n",
+      " 13  fuelType             45518 non-null  object\n",
+      " 14  brand                50000 non-null  object\n",
+      " 15  notRepairedDamage    40171 non-null  object\n",
+      " 16  dateCreated          50000 non-null  object\n",
+      " 17  nrOfPictures         50000 non-null  int64 \n",
+      " 18  postalCode           50000 non-null  int64 \n",
+      " 19  lastSeen             50000 non-null  object\n",
       "dtypes: int64(5), object(15)\n",
       "memory usage: 7.6+ MB\n"
      ]
@@ -288,7 +290,7 @@
        "4       39218  2016-04-01 14:38:50  "
       ]
      },
-     "execution_count": 15,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -352,7 +354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -555,7 +557,7 @@
        "4  2016-04-01 14:38:50  "
       ]
      },
-     "execution_count": 16,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -680,7 +682,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>top</th>\n",
-       "      <td>2016-03-09 11:54:38</td>\n",
+       "      <td>2016-03-10 15:36:24</td>\n",
        "      <td>Ford_Fiesta</td>\n",
        "      <td>privat</td>\n",
        "      <td>Angebot</td>\n",
@@ -893,7 +895,7 @@
        "               date_crawled         name  seller offer_type  price ab_test  \\\n",
        "count                 50000        50000   50000      50000  50000   50000   \n",
        "unique                48213        38754       2          2   2357       2   \n",
-       "top     2016-03-09 11:54:38  Ford_Fiesta  privat    Angebot     $0    test   \n",
+       "top     2016-03-10 15:36:24  Ford_Fiesta  privat    Angebot     $0    test   \n",
        "freq                      3           78   49999      49999   1421   25756   \n",
        "mean                    NaN          NaN     NaN        NaN    NaN     NaN   \n",
        "std                     NaN          NaN     NaN        NaN    NaN     NaN   \n",
@@ -994,7 +996,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1010,7 +1012,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -1024,7 +1026,7 @@
        "Name: price, dtype: int64"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1040,7 +1042,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -1054,7 +1056,7 @@
        "Name: odometer_km, dtype: int64"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1275,7 +1277,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1292,7 +1294,7 @@
        "Name: price, dtype: float64"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1328,7 +1330,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1401,7 +1403,7 @@
        "4  2016-04-01 14:38:50  2016-04-01 00:00:00  2016-04-01 14:38:50"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1412,7 +1414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1455,7 +1457,7 @@
        "Name: date_crawled, dtype: float64"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1470,7 +1472,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -1496,8 +1498,8 @@
        "2016-03-22    0.032987\n",
        "2016-03-09    0.033090\n",
        "2016-03-08    0.033296\n",
-       "2016-03-30    0.033687\n",
        "2016-04-01    0.033687\n",
+       "2016-03-30    0.033687\n",
        "2016-03-29    0.034099\n",
        "2016-03-15    0.034284\n",
        "2016-03-19    0.034778\n",
@@ -1513,7 +1515,7 @@
        "Name: date_crawled, dtype: float64"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1535,7 +1537,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1578,7 +1580,7 @@
        "Name: last_seen, dtype: float64"
       ]
      },
-     "execution_count": 150,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1602,7 +1604,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -1620,57 +1622,7 @@
        "2015-09-09    0.000021\n",
        "2015-11-10    0.000021\n",
        "2015-12-05    0.000021\n",
-       "2015-12-30    0.000021\n",
-       "2016-01-03    0.000021\n",
-       "2016-01-07    0.000021\n",
-       "2016-01-10    0.000041\n",
-       "2016-01-13    0.000021\n",
-       "2016-01-14    0.000021\n",
-       "2016-01-16    0.000021\n",
-       "2016-01-22    0.000021\n",
-       "2016-01-27    0.000062\n",
-       "2016-01-29    0.000021\n",
-       "2016-02-01    0.000021\n",
-       "2016-02-02    0.000041\n",
-       "2016-02-05    0.000041\n",
-       "2016-02-07    0.000021\n",
-       "2016-02-08    0.000021\n",
-       "2016-02-09    0.000021\n",
-       "2016-02-11    0.000021\n",
-       "2016-02-12    0.000041\n",
-       "2016-02-14    0.000041\n",
-       "2016-02-16    0.000021\n",
-       "2016-02-17    0.000021\n",
-       "2016-02-18    0.000041\n",
-       "2016-02-19    0.000062\n",
-       "2016-02-20    0.000041\n",
-       "2016-02-21    0.000062\n",
        "                ...   \n",
-       "2016-03-09    0.033151\n",
-       "2016-03-10    0.031895\n",
-       "2016-03-11    0.032904\n",
-       "2016-03-12    0.036755\n",
-       "2016-03-13    0.017008\n",
-       "2016-03-14    0.035190\n",
-       "2016-03-15    0.034016\n",
-       "2016-03-16    0.030125\n",
-       "2016-03-17    0.031278\n",
-       "2016-03-18    0.013590\n",
-       "2016-03-19    0.033687\n",
-       "2016-03-20    0.037949\n",
-       "2016-03-21    0.037579\n",
-       "2016-03-22    0.032801\n",
-       "2016-03-23    0.032060\n",
-       "2016-03-24    0.029280\n",
-       "2016-03-25    0.031751\n",
-       "2016-03-26    0.032266\n",
-       "2016-03-27    0.030989\n",
-       "2016-03-28    0.034984\n",
-       "2016-03-29    0.034037\n",
-       "2016-03-30    0.033501\n",
-       "2016-03-31    0.031875\n",
-       "2016-04-01    0.033687\n",
-       "2016-04-02    0.035149\n",
        "2016-04-03    0.038855\n",
        "2016-04-04    0.036858\n",
        "2016-04-05    0.011819\n",
@@ -1679,7 +1631,7 @@
        "Name: ad_created, Length: 76, dtype: float64"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1702,7 +1654,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1719,7 +1671,7 @@
        "Name: registration_year, dtype: float64"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1753,16 +1705,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.038793369710697002"
+       "0.038793369710697"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1827,7 +1779,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -1876,7 +1828,7 @@
        "Name: brand, dtype: float64"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1896,7 +1848,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -1915,21 +1867,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'audi': 9336,\n",
+       "{'volkswagen': 5402,\n",
        " 'bmw': 8332,\n",
-       " 'ford': 3749,\n",
-       " 'mercedes_benz': 8628,\n",
        " 'opel': 2975,\n",
-       " 'volkswagen': 5402}"
+       " 'mercedes_benz': 8628,\n",
+       " 'audi': 9336,\n",
+       " 'ford': 3749}"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1994,28 +1946,28 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>audi</th>\n",
-       "      <td>9336</td>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>5402</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bmw</th>\n",
        "      <td>8332</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>ford</th>\n",
-       "      <td>3749</td>\n",
+       "      <th>opel</th>\n",
+       "      <td>2975</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mercedes_benz</th>\n",
        "      <td>8628</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>opel</th>\n",
-       "      <td>2975</td>\n",
+       "      <th>audi</th>\n",
+       "      <td>9336</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>volkswagen</th>\n",
-       "      <td>5402</td>\n",
+       "      <th>ford</th>\n",
+       "      <td>3749</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2023,12 +1975,12 @@
       ],
       "text/plain": [
        "               mean_price\n",
-       "audi                 9336\n",
+       "volkswagen           5402\n",
        "bmw                  8332\n",
-       "ford                 3749\n",
-       "mercedes_benz        8628\n",
        "opel                 2975\n",
-       "volkswagen           5402"
+       "mercedes_benz        8628\n",
+       "audi                 9336\n",
+       "ford                 3749"
       ]
      },
      "execution_count": 26,
@@ -2043,7 +1995,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2060,7 +2012,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -2126,7 +2078,7 @@
        "ford                 124266"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2138,7 +2090,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -2211,7 +2163,7 @@
        "ford                 124266        3749"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2245,7 +2197,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.7"
+   "version": "3.8.2"
   }
  },
  "nbformat": 4,