final fix in ml2/3_4

ml2/3_4_Visualisation_Pandas.ipynb

@@ -484,13 +484,17 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-03-06T17:31:13.351504Z",
+     "start_time": "2019-03-06T17:31:13.092499Z"
+    }
+   },
    "outputs": [],
    "source": [
     "#Small touches\n",
     "\n",
     "pclass_labels = ['First', 'Second', 'Third']\n",
-    "sex_labels = {'Female': 0, 'Male': 1}\n",
     "sex_labels = ['Female', 'Male']\n",
     "\n",
     "plt = df.query('Age < 20 and Survived == 1').groupby(['Sex','Pclass']).size().unstack(['Sex']).plot(kind='bar', \n",
@@ -504,12 +508,16 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-03-06T17:31:13.578569Z",
+     "start_time": "2019-03-06T17:31:13.353882Z"
+    }
+   },
    "outputs": [],
    "source": [
     "#The same horizontal\n",
     "pclass_labels = ['First', 'Second', 'Third']\n",
-    "sex_labels = {'Female': 0, 'Male': 1}\n",
     "sex_labels = ['Female', 'Male']\n",
     "\n",
     "plt = df.query('Age > 25 and Survived == 1').groupby(['Sex','Pclass']).size().unstack(['Sex']).plot(kind='barh', \n",