From 45634da9ff997a1f0fd28cc62419ba78b751b9bf Mon Sep 17 00:00:00 2001
From: Donne Martin <donne.martin@gmail.com>
Date: Sat, 31 Jan 2015 07:46:16 -0500
Subject: [PATCH] Seeded random for more predictability between iterations. 
 Added snippets for setting a fill value for indices that do not overlap for
 arithmetic operations.

---
 pandas/pandas.ipynb | 216 +++++++++++++++++++++++++++++++++-----------
 1 file changed, 161 insertions(+), 55 deletions(-)

diff --git a/pandas/pandas.ipynb b/pandas/pandas.ipynb
index 94a0c4b..1198a7c 100644
--- a/pandas/pandas.ipynb
+++ b/pandas/pandas.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:f58e882e3019ecb243505ef140cb0aedee21ecd47d1210ca8e6b4e2281c1316e"
+  "signature": "sha256:56fea349850ffa0f72e6b8900647ed0f5ede765deae5932b1a26237f03166107"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -3332,6 +3332,7 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "np.random.seed(0)\n",
       "ser_6 = Series(np.random.randn(5),\n",
       "               index=['a', 'b', 'c', 'd', 'e'])\n",
       "ser_6\n"
@@ -3344,11 +3345,11 @@
        "output_type": "pyout",
        "prompt_number": 64,
        "text": [
-        "a   -0.224292\n",
-        "b   -1.166149\n",
-        "c   -2.078194\n",
-        "d    2.060130\n",
-        "e    0.292102\n",
+        "a    1.764052\n",
+        "b    0.400157\n",
+        "c    0.978738\n",
+        "d    2.240893\n",
+        "e    1.867558\n",
         "dtype: float64"
        ]
       }
@@ -3359,6 +3360,7 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "np.random.seed(1)\n",
       "ser_7 = Series(np.random.randn(5),\n",
       "               index=['a', 'c', 'e', 'f', 'g'])\n",
       "ser_7"
@@ -3371,11 +3373,11 @@
        "output_type": "pyout",
        "prompt_number": 65,
        "text": [
-        "a   -0.329560\n",
-        "c    1.009019\n",
-        "e   -2.489898\n",
-        "f   -0.731142\n",
-        "g   -0.025979\n",
+        "a    1.624345\n",
+        "c   -0.611756\n",
+        "e   -0.528172\n",
+        "f   -1.072969\n",
+        "g    0.865408\n",
         "dtype: float64"
        ]
       }
@@ -3386,7 +3388,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "Adding objects results in the union of index pairs if the pairs are not the same, resulting in NAs for indices that do not overlap:"
+      "Adding objects results in the union of index pairs if the pairs are not the same, resulting in NaN for indices that do not overlap:"
      ]
     },
     {
@@ -3403,11 +3405,11 @@
        "output_type": "pyout",
        "prompt_number": 66,
        "text": [
-        "a   -0.553851\n",
+        "a    3.388398\n",
         "b         NaN\n",
-        "c   -1.069176\n",
+        "c    0.366982\n",
         "d         NaN\n",
-        "e   -2.197796\n",
+        "e    1.339386\n",
         "f         NaN\n",
         "g         NaN\n",
         "dtype: float64"
@@ -3416,10 +3418,45 @@
      ],
      "prompt_number": 66
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Set a fill value instead of NaN for indices that do not overlap:"
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "ser_6.add(ser_7, fill_value=0)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 67,
+       "text": [
+        "a    3.388398\n",
+        "b    0.400157\n",
+        "c    0.366982\n",
+        "d    2.240893\n",
+        "e    1.339386\n",
+        "f   -1.072969\n",
+        "g    0.865408\n",
+        "dtype: float64"
+       ]
+      }
+     ],
+     "prompt_number": 67
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "np.random.seed(0)\n",
       "frame_8 = DataFrame(np.random.rand(9).reshape((3, 3)),\n",
       "                    columns=['a', 'b', 'c'])\n",
       "frame_8"
@@ -3442,21 +3479,21 @@
         "  <tbody>\n",
         "    <tr>\n",
         "      <th>0</th>\n",
-        "      <td> 0.529893</td>\n",
-        "      <td> 0.251433</td>\n",
-        "      <td> 0.111151</td>\n",
+        "      <td> 0.548814</td>\n",
+        "      <td> 0.715189</td>\n",
+        "      <td> 0.602763</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>1</th>\n",
-        "      <td> 0.088052</td>\n",
-        "      <td> 0.595180</td>\n",
-        "      <td> 0.128917</td>\n",
+        "      <td> 0.544883</td>\n",
+        "      <td> 0.423655</td>\n",
+        "      <td> 0.645894</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>2</th>\n",
-        "      <td> 0.237248</td>\n",
-        "      <td> 0.515434</td>\n",
-        "      <td> 0.720097</td>\n",
+        "      <td> 0.437587</td>\n",
+        "      <td> 0.891773</td>\n",
+        "      <td> 0.963663</td>\n",
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
@@ -3464,21 +3501,22 @@
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 67,
+       "prompt_number": 68,
        "text": [
         "          a         b         c\n",
-        "0  0.529893  0.251433  0.111151\n",
-        "1  0.088052  0.595180  0.128917\n",
-        "2  0.237248  0.515434  0.720097"
+        "0  0.548814  0.715189  0.602763\n",
+        "1  0.544883  0.423655  0.645894\n",
+        "2  0.437587  0.891773  0.963663"
        ]
       }
      ],
-     "prompt_number": 67
+     "prompt_number": 68
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "np.random.seed(1)\n",
       "frame_9 = DataFrame(np.random.rand(9).reshape((3, 3)),\n",
       "                    columns=['b', 'c', 'd'])\n",
       "frame_9"
@@ -3501,21 +3539,21 @@
         "  <tbody>\n",
         "    <tr>\n",
         "      <th>0</th>\n",
-        "      <td> 0.924304</td>\n",
-        "      <td> 0.058943</td>\n",
-        "      <td> 0.434582</td>\n",
+        "      <td> 0.417022</td>\n",
+        "      <td> 0.720324</td>\n",
+        "      <td> 0.000114</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>1</th>\n",
-        "      <td> 0.730805</td>\n",
-        "      <td> 0.545480</td>\n",
-        "      <td> 0.299172</td>\n",
+        "      <td> 0.302333</td>\n",
+        "      <td> 0.146756</td>\n",
+        "      <td> 0.092339</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>2</th>\n",
-        "      <td> 0.280603</td>\n",
-        "      <td> 0.703927</td>\n",
-        "      <td> 0.790074</td>\n",
+        "      <td> 0.186260</td>\n",
+        "      <td> 0.345561</td>\n",
+        "      <td> 0.396767</td>\n",
         "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
@@ -3523,22 +3561,22 @@
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 68,
+       "prompt_number": 69,
        "text": [
         "          b         c         d\n",
-        "0  0.924304  0.058943  0.434582\n",
-        "1  0.730805  0.545480  0.299172\n",
-        "2  0.280603  0.703927  0.790074"
+        "0  0.417022  0.720324  0.000114\n",
+        "1  0.302333  0.146756  0.092339\n",
+        "2  0.186260  0.345561  0.396767"
        ]
       }
      ],
-     "prompt_number": 68
+     "prompt_number": 69
     },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "Adding objects results in the union of index pairs for rows and columns if the pairs are not the same, resulting in NAs for indices that do not overlap:"
+      "Adding objects results in the union of index pairs for rows and columns if the pairs are not the same, resulting in NaN for indices that do not overlap:"
      ]
     },
     {
@@ -3567,22 +3605,22 @@
         "    <tr>\n",
         "      <th>0</th>\n",
         "      <td>NaN</td>\n",
-        "      <td> 1.175738</td>\n",
-        "      <td> 0.170094</td>\n",
+        "      <td> 1.132211</td>\n",
+        "      <td> 1.323088</td>\n",
         "      <td>NaN</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>1</th>\n",
         "      <td>NaN</td>\n",
-        "      <td> 1.325985</td>\n",
-        "      <td> 0.674397</td>\n",
+        "      <td> 0.725987</td>\n",
+        "      <td> 0.792650</td>\n",
         "      <td>NaN</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>2</th>\n",
         "      <td>NaN</td>\n",
-        "      <td> 0.796037</td>\n",
-        "      <td> 1.424024</td>\n",
+        "      <td> 1.078033</td>\n",
+        "      <td> 1.309223</td>\n",
         "      <td>NaN</td>\n",
         "    </tr>\n",
         "  </tbody>\n",
@@ -3591,16 +3629,84 @@
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 69,
+       "prompt_number": 70,
        "text": [
         "    a         b         c   d\n",
-        "0 NaN  1.175738  0.170094 NaN\n",
-        "1 NaN  1.325985  0.674397 NaN\n",
-        "2 NaN  0.796037  1.424024 NaN"
+        "0 NaN  1.132211  1.323088 NaN\n",
+        "1 NaN  0.725987  0.792650 NaN\n",
+        "2 NaN  1.078033  1.309223 NaN"
        ]
       }
      ],
-     "prompt_number": 69
+     "prompt_number": 70
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Set a fill value instead of NaN for indices that do not overlap:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "frame_8.add(frame_9, fill_value=0)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>a</th>\n",
+        "      <th>b</th>\n",
+        "      <th>c</th>\n",
+        "      <th>d</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</th>\n",
+        "      <td> 0.548814</td>\n",
+        "      <td> 1.132211</td>\n",
+        "      <td> 1.323088</td>\n",
+        "      <td> 0.000114</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>1</th>\n",
+        "      <td> 0.544883</td>\n",
+        "      <td> 0.725987</td>\n",
+        "      <td> 0.792650</td>\n",
+        "      <td> 0.092339</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2</th>\n",
+        "      <td> 0.437587</td>\n",
+        "      <td> 1.078033</td>\n",
+        "      <td> 1.309223</td>\n",
+        "      <td> 0.396767</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 71,
+       "text": [
+        "          a         b         c         d\n",
+        "0  0.548814  1.132211  1.323088  0.000114\n",
+        "1  0.544883  0.725987  0.792650  0.092339\n",
+        "2  0.437587  1.078033  1.309223  0.396767"
+       ]
+      }
+     ],
+     "prompt_number": 71
     }
    ],
    "metadata": {}