Adding missing figure in chapter 02

02_end_to_end_machine_learning_project.ipynb

@@ -14,6 +14,13 @@
     "*This notebook contains all the sample code and solutions to the exercices in chapter 2.*"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Note**: You may find little differences between the code outputs in the book and in these Jupyter notebooks: these slight differences are mostly due to the random nature of many training algorithms: although I have tried to make these notebooks' outputs as constant as possible, it is impossible to guarantee that they will produce the exact same output on every platform. Also, some data structures (such as dictionaries) do not preserve the item order. Finally, I fixed a few minor bugs (I added notes next to the concerned cells) which lead to slightly different results, without changing the ideas presented in the book."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -408,6 +415,17 @@
   {
    "cell_type": "code",
    "execution_count": 23,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "housing[\"income_cat\"].hist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -425,7 +443,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -438,7 +456,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -462,7 +480,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -475,7 +493,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -499,7 +517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {
     "collapsed": true,
     "deletable": true,
@@ -512,7 +530,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -526,7 +544,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -538,9 +556,16 @@
     "save_fig(\"better_visualization_plot\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The argument `sharex=False` fixes a display bug (the x-axis values and legend were not displayed). This is a temporary fix (see: https://github.com/pandas-dev/pandas/issues/10611). Thanks to Wilmer Arellano for pointing it out."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -551,16 +576,14 @@
     "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.4,\n",
     "    s=housing[\"population\"]/100, label=\"population\", figsize=(10,7),\n",
     "    c=\"median_house_value\", cmap=plt.get_cmap(\"jet\"), colorbar=True,\n",
-    "    sharex=False) # sharex=False fixes a bug (temporary solution)\n",
-    "                  # See: https://github.com/pandas-dev/pandas/issues/10611\n",
-    "                  # Thanks to Wilmer Arellano for pointing it out.\n",
+    "    sharex=False)\n",
     "plt.legend()\n",
     "save_fig(\"housing_prices_scatterplot\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -592,7 +615,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {
     "collapsed": true,
     "deletable": true,
@@ -605,7 +628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -618,7 +641,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -634,7 +657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -652,7 +675,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 38,
    "metadata": {
     "collapsed": true,
     "deletable": true,
@@ -665,9 +688,16 @@
     "housing[\"population_per_household\"]=housing[\"population\"]/housing[\"households\"]"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note: there was a bug in the previous cell, in the definition of the `rooms_per_household` attribute. This explains why the correlation value below differs slightly from the value in the book (unless you are reading the latest version)."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 39,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -681,7 +711,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 40,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -697,7 +727,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 41,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -720,7 +750,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 42,
    "metadata": {
     "collapsed": true,
     "deletable": true,
@@ -732,19 +762,6 @@
     "housing_labels = strat_train_set[\"median_house_value\"].copy()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {
-    "collapsed": false,
-    "deletable": true,
-    "editable": true
-   },
-   "outputs": [],
-   "source": [
-    "housing.iloc[21:24]"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 43,
@@ -755,8 +772,7 @@
    },
    "outputs": [],
    "source": [
-    "housing_copy = housing.copy().iloc[21:24]\n",
-    "housing_copy.dropna(subset=[\"total_bedrooms\"])    # option 1"
+    "housing.iloc[21:24]"
    ]
   },
   {
@@ -770,7 +786,7 @@
    "outputs": [],
    "source": [
     "housing_copy = housing.copy().iloc[21:24]\n",
-    "housing_copy.drop(\"total_bedrooms\", axis=1)       # option 2"
+    "housing_copy.dropna(subset=[\"total_bedrooms\"])    # option 1"
    ]
   },
   {
@@ -782,6 +798,20 @@
     "editable": true
    },
    "outputs": [],
+   "source": [
+    "housing_copy = housing.copy().iloc[21:24]\n",
+    "housing_copy.drop(\"total_bedrooms\", axis=1)       # option 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
+   },
+   "outputs": [],
    "source": [
     "housing_copy = housing.copy().iloc[21:24]\n",
     "median = housing_copy[\"total_bedrooms\"].median()\n",
@@ -791,7 +821,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 47,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -804,7 +834,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 48,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -819,7 +849,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 49,
    "metadata": {
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     "deletable": true,
@@ -841,7 +871,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 50,
    "metadata": {
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@@ -856,7 +886,7 @@
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-   "execution_count": 50,
+   "execution_count": 51,
    "metadata": {
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@@ -869,7 +899,7 @@
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   {
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-   "execution_count": 51,
+   "execution_count": 52,
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@@ -882,7 +912,7 @@
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+   "execution_count": 53,
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@@ -895,7 +925,7 @@
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-   "execution_count": 53,
+   "execution_count": 54,
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@@ -908,7 +938,7 @@
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   {
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-   "execution_count": 54,
+   "execution_count": 55,
    "metadata": {
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@@ -921,7 +951,7 @@
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   {
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+   "execution_count": 56,
    "metadata": {
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@@ -934,7 +964,7 @@
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   {
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-   "execution_count": 56,
+   "execution_count": 57,
    "metadata": {
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     "deletable": true,
@@ -947,7 +977,7 @@
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   {
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-   "execution_count": 57,
+   "execution_count": 58,
    "metadata": {
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@@ -960,7 +990,7 @@
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-   "execution_count": 58,
+   "execution_count": 59,
    "metadata": {
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@@ -974,7 +1004,7 @@
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   {
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-   "execution_count": 59,
+   "execution_count": 60,
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@@ -992,7 +1022,7 @@
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   {
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+   "execution_count": 61,
    "metadata": {
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@@ -1005,7 +1035,7 @@
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   {
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-   "execution_count": 61,
+   "execution_count": 62,
    "metadata": {
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@@ -1022,7 +1052,7 @@
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   {
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-   "execution_count": 62,
+   "execution_count": 63,
    "metadata": {
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@@ -1035,7 +1065,7 @@
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   {
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-   "execution_count": 63,
+   "execution_count": 64,
    "metadata": {
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@@ -1052,7 +1082,7 @@
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   {
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-   "execution_count": 64,
+   "execution_count": 65,
    "metadata": {
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@@ -1085,7 +1115,7 @@
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   {
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-   "execution_count": 65,
+   "execution_count": 66,
    "metadata": {
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@@ -1099,7 +1129,7 @@
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-   "execution_count": 66,
+   "execution_count": 67,
    "metadata": {
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@@ -1121,7 +1151,7 @@
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-   "execution_count": 67,
+   "execution_count": 68,
    "metadata": {
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@@ -1134,7 +1164,7 @@
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   {
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-   "execution_count": 68,
+   "execution_count": 69,
    "metadata": {
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     "deletable": true,
@@ -1155,7 +1185,7 @@
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-   "execution_count": 69,
+   "execution_count": 70,
    "metadata": {
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@@ -1181,7 +1211,7 @@
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   {
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-   "execution_count": 70,
+   "execution_count": 71,
    "metadata": {
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@@ -1199,7 +1229,7 @@
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   {
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+   "execution_count": 72,
    "metadata": {
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@@ -1213,7 +1243,7 @@
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   {
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+   "execution_count": 73,
    "metadata": {
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@@ -1236,7 +1266,7 @@
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-   "execution_count": 73,
+   "execution_count": 74,
    "metadata": {
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     "deletable": true,
@@ -1252,7 +1282,7 @@
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   {
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-   "execution_count": 74,
+   "execution_count": 75,
    "metadata": {
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     "deletable": true,
@@ -1270,7 +1300,7 @@
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   {
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-   "execution_count": 75,
+   "execution_count": 76,
    "metadata": {
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@@ -1283,7 +1313,7 @@
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   {
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-   "execution_count": 76,
+   "execution_count": 77,
    "metadata": {
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     "deletable": true,
@@ -1296,7 +1326,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 78,
    "metadata": {
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     "deletable": true,
@@ -1314,7 +1344,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 79,
    "metadata": {
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     "deletable": true,
@@ -1330,7 +1360,7 @@
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   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 80,
    "metadata": {
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     "deletable": true,
@@ -1346,7 +1376,7 @@
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   {
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-   "execution_count": 80,
+   "execution_count": 81,
    "metadata": {
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@@ -1372,7 +1402,7 @@
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   {
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+   "execution_count": 82,
    "metadata": {
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@@ -1389,7 +1419,7 @@
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+   "execution_count": 83,
    "metadata": {
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@@ -1407,7 +1437,7 @@
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+   "execution_count": 84,
    "metadata": {
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@@ -1423,7 +1453,7 @@
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+   "execution_count": 85,
    "metadata": {
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@@ -1439,7 +1469,7 @@
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+   "execution_count": 86,
    "metadata": {
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@@ -1455,7 +1485,7 @@
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+   "execution_count": 87,
    "metadata": {
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@@ -1473,7 +1503,7 @@
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   {
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+   "execution_count": 88,
    "metadata": {
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@@ -1487,7 +1517,7 @@
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   {
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+   "execution_count": 89,
    "metadata": {
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@@ -1507,7 +1537,7 @@
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+   "execution_count": 90,
    "metadata": {
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@@ -1530,7 +1560,7 @@
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   {
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-   "execution_count": 90,
+   "execution_count": 91,
    "metadata": {
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@@ -1543,7 +1573,7 @@
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+   "execution_count": 92,
    "metadata": {
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@@ -1556,7 +1586,7 @@
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+   "execution_count": 93,
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@@ -1571,7 +1601,7 @@
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+   "execution_count": 94,
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@@ -1584,7 +1614,7 @@
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+   "execution_count": 95,
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@@ -1608,7 +1638,7 @@
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+   "execution_count": 96,
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@@ -1623,7 +1653,7 @@
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+   "execution_count": 97,
    "metadata": {
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@@ -1637,7 +1667,7 @@
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-   "execution_count": 97,
+   "execution_count": 98,
    "metadata": {
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@@ -1653,7 +1683,7 @@
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+   "execution_count": 99,
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@@ -1675,7 +1705,7 @@
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+   "execution_count": 100,
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@@ -1711,7 +1741,7 @@
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+   "execution_count": 101,
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@@ -1748,7 +1778,7 @@
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+   "execution_count": 102,
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@@ -1761,7 +1791,7 @@
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+   "execution_count": 103,
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@@ -1787,7 +1817,7 @@
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   {
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-   "execution_count": 103,
+   "execution_count": 104,
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@@ -1837,7 +1867,7 @@
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+   "execution_count": 105,
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@@ -1870,7 +1900,7 @@
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+   "execution_count": 106,
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@@ -1895,7 +1925,7 @@
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   {
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-   "execution_count": 106,
+   "execution_count": 107,
    "metadata": {
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@@ -1938,7 +1968,7 @@
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+   "execution_count": 108,
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@@ -1978,7 +2008,7 @@
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+   "execution_count": 109,
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@@ -2003,7 +2033,7 @@
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+   "execution_count": 110,
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@@ -2036,7 +2066,7 @@
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-   "execution_count": 110,
+   "execution_count": 111,
    "metadata": {
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     "deletable": true,
@@ -2068,7 +2098,7 @@
   },
   {
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-   "execution_count": 111,
+   "execution_count": 112,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2120,7 +2150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 113,
    "metadata": {
     "collapsed": true,
     "deletable": true,
@@ -2166,7 +2196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 114,
    "metadata": {
     "collapsed": true,
     "deletable": true,
@@ -2189,7 +2219,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 115,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2203,7 +2233,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 116,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2226,7 +2256,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
+   "execution_count": 117,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2249,7 +2279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 117,
+   "execution_count": 118,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2265,7 +2295,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 119,
    "metadata": {
     "collapsed": true,
     "deletable": true,
@@ -2288,7 +2318,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 120,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2311,7 +2341,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 121,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2354,7 +2384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 121,
+   "execution_count": 122,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2371,7 +2401,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 123,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2394,7 +2424,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 124,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2441,7 +2471,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 125,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2461,7 +2491,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 126,
    "metadata": {
     "collapsed": false,
     "deletable": true,
@@ -2484,7 +2514,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 127,
    "metadata": {
     "collapsed": false,
     "deletable": true,