From a6153e50201f629ea778b1113e151fb6ea03df6e Mon Sep 17 00:00:00 2001
From: Donne Martin <donne.martin@gmail.com>
Date: Fri, 20 Mar 2015 12:54:20 -0400
Subject: [PATCH] Tweaked slicing indices to use single : instead of ::, which
 I find more readable.  Tweaked Feature: Sex headers.

---
 kaggle/titanic.ipynb | 19 ++++++++++---------
 1 file changed, 10 insertions(+), 9 deletions(-)

diff --git a/kaggle/titanic.ipynb b/kaggle/titanic.ipynb
index 3ae77e3..f78e43b 100644
--- a/kaggle/titanic.ipynb
+++ b/kaggle/titanic.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:708d730926b0a00b95815375c1e8d7f632ca75b748195364102868ffc231fc0c"
+  "signature": "sha256:46dbdb2807e4db85f0d0d4ed570394551bba3d8cbcdb541f8dd2115388981545"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -26,7 +26,7 @@
       "* Setup Imports and Variables\n",
       "* Explore the Data\n",
       "* Feature: Passenger Classes\n",
-      "* Feature: Sex (Gender)\n",
+      "* Feature: Sex\n",
       "* Feature: Embarked\n",
       "* Feature: Age\n",
       "* Feature: Family Size\n",
@@ -854,7 +854,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "## Feature: Sex (Gender)"
+      "## Feature: Sex"
      ]
     },
     {
@@ -2403,10 +2403,10 @@
      "collapsed": false,
      "input": [
       "# Training data (features), skip the first column 'Survived'\n",
-      "training_input = train_data[0::, 1::]\n",
+      "training_input = train_data[:, 1:]\n",
       "\n",
       "# 'Survived' column values\n",
-      "target_values = train_data[0::, 0]\n",
+      "target_values = train_data[:, 0]\n",
       "\n",
       "# Fit the model to our training data\n",
       "forest = forest.fit(training_input, target_values)"
@@ -2556,7 +2556,7 @@
      "collapsed": false,
      "input": [
       "# Test data (features), skip the first column 'PassengerId'\n",
-      "test_input = test_data[0::, 1::]\n",
+      "test_input = test_data[:, 1:]\n",
       "\n",
       "# Predict the Survival values for the test data\n",
       "output = forest.predict(test_input)"
@@ -2584,8 +2584,9 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "# Concatenate PassengerId and Survived predictions\n",
       "result = np.c_[test_data[:, 0].astype(int), output.astype(int)]\n",
-      "df_result = pd.DataFrame(result[:, 0:2], columns=['PassengerId', 'Survived'])\n",
+      "df_result = pd.DataFrame(result[:, :], columns=['PassengerId', 'Survived'])\n",
       "df_result.head(10)"
      ],
      "language": "python",
@@ -2659,7 +2660,7 @@
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 43,
+       "prompt_number": 61,
        "text": [
         "   PassengerId  Survived\n",
         "0          892         0\n",
@@ -2675,7 +2676,7 @@
        ]
       }
      ],
-     "prompt_number": 43
+     "prompt_number": 61
     },
     {
      "cell_type": "markdown",