02. DataVisualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature Manipulation in Pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a companion notebook for videos part of unit 2 for the data mining course.\n",
    "\n",
    "Here let's look at a different dataset that will allow us to really dive into some meaningful statistics. This data set is publically available, but is also part of a Kaggle competition.\n",
    "\n",
    "You can get the data from here: https://www.kaggle.com/c/titanic-gettingStarted \n",
    "\n",
    "There are lots of iPython notebooks for looking at the Titanic data. Check them out and see you like any!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from IPython.display import YouTubeVideo\n",
    "# YouTubeVideo(\"9xoqXVjBEF8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load the Titanic dataset\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "df = pd.read_csv('data/titanic.csv') # read in the csv file\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Fare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>714.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.383838</td>\n",
       "      <td>2.308642</td>\n",
       "      <td>29.699118</td>\n",
       "      <td>0.523008</td>\n",
       "      <td>0.381594</td>\n",
       "      <td>32.204208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>257.353842</td>\n",
       "      <td>0.486592</td>\n",
       "      <td>0.836071</td>\n",
       "      <td>14.526497</td>\n",
       "      <td>1.102743</td>\n",
       "      <td>0.806057</td>\n",
       "      <td>49.693429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>223.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.125000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.910400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.454200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>668.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>512.329200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       PassengerId    Survived      Pclass         Age       SibSp  \\\n",
       "count   891.000000  891.000000  891.000000  714.000000  891.000000   \n",
       "mean    446.000000    0.383838    2.308642   29.699118    0.523008   \n",
       "std     257.353842    0.486592    0.836071   14.526497    1.102743   \n",
       "min       1.000000    0.000000    1.000000    0.420000    0.000000   \n",
       "25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n",
       "50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n",
       "75%     668.500000    1.000000    3.000000   38.000000    1.000000   \n",
       "max     891.000000    1.000000    3.000000   80.000000    8.000000   \n",
       "\n",
       "            Parch        Fare  \n",
       "count  891.000000  891.000000  \n",
       "mean     0.381594   32.204208  \n",
       "std      0.806057   49.693429  \n",
       "min      0.000000    0.000000  \n",
       "25%      0.000000    7.910400  \n",
       "50%      0.000000   14.454200  \n",
       "75%      0.000000   31.000000  \n",
       "max      6.000000  512.329200  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PassengerId      int64\n",
      "Survived         int64\n",
      "Pclass           int64\n",
      "Name            object\n",
      "Sex             object\n",
      "Age            float64\n",
      "SibSp            int64\n",
      "Parch            int64\n",
      "Ticket          object\n",
      "Fare           float64\n",
      "Cabin           object\n",
      "Embarked        object\n",
      "dtype: object\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 891 entries, 0 to 890\n",
      "Data columns (total 12 columns):\n",
      "PassengerId    891 non-null int64\n",
      "Survived       891 non-null int64\n",
      "Pclass         891 non-null int64\n",
      "Name           891 non-null object\n",
      "Sex            891 non-null object\n",
      "Age            714 non-null float64\n",
      "SibSp          891 non-null int64\n",
      "Parch          891 non-null int64\n",
      "Ticket         891 non-null object\n",
      "Fare           891 non-null float64\n",
      "Cabin          204 non-null object\n",
      "Embarked       889 non-null object\n",
      "dtypes: float64(2), int64(5), object(5)\n",
      "memory usage: 83.6+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print (df.dtypes)\n",
    "print (df.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "61.61616161616161"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the percentage of individuals that died on the titanic\n",
    "len(df[df.Survived==0])/len(df)*100.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pclass\n",
      "1    136\n",
      "2     87\n",
      "3    119\n",
      "Name: Survived, dtype: int64\n",
      "---------------------------------------\n",
      "Pclass\n",
      "1    216\n",
      "2    184\n",
      "3    491\n",
      "Name: Survived, dtype: int64\n",
      "---------------------------------------\n",
      "Pclass\n",
      "1    0.629630\n",
      "2    0.472826\n",
      "3    0.242363\n",
      "Name: Survived, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Lets aggregate by class and count survival rates\n",
    "df_grouped = df.groupby(by='Pclass')\n",
    "print (df_grouped.Survived.sum())\n",
    "print ('---------------------------------------')\n",
    "print (df_grouped.Survived.count())\n",
    "print ('---------------------------------------')\n",
    "print (df_grouped.Survived.sum() / df_grouped.Survived.count())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Discretization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count       714\n",
       "unique        3\n",
       "top       adult\n",
       "freq        606\n",
       "Name: age_range, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let's break up the age variable\n",
    "df['age_range'] = pd.cut(df.Age,[0,16,65,1e6],3,labels=['child','adult','senior']) # this creates a new variable\n",
    "df.age_range.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of survivors in each group:\n",
      "Pclass  age_range\n",
      "1       child        88.888889\n",
      "        adult        65.317919\n",
      "        senior       25.000000\n",
      "2       child        90.476190\n",
      "        adult        42.666667\n",
      "        senior        0.000000\n",
      "3       child        40.000000\n",
      "        adult        20.141343\n",
      "        senior        0.000000\n",
      "Name: Survived, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# now lets group with the new variable\n",
    "df_grouped = df.groupby(by=['Pclass','age_range'])\n",
    "print (\"Percentage of survivors in each group:\")\n",
    "print (df_grouped.Survived.sum() / df_grouped.Survived.count() *100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                Age                                                         \\\n",
      "              count       mean        std    min    25%   50%    75%   max   \n",
      "Pclass SibSp                                                                 \n",
      "1      0      113.0  39.181416  14.844591   4.00  28.00  37.0  50.00  80.0   \n",
      "       1       65.0  37.414154  14.690355   0.92  28.00  38.0  49.00  70.0   \n",
      "       2        5.0  37.200000  16.513631  18.00  21.00  44.0  50.00  53.0   \n",
      "       3        3.0  22.000000   2.645751  19.00  21.00  23.0  23.50  24.0   \n",
      "2      0      109.0  31.934220  13.486824   0.83  23.00  30.0  39.00  70.0   \n",
      "       1       55.0  27.363636  14.609811   0.67  21.50  29.0  35.00  60.0   \n",
      "       2        8.0  19.125000  10.776131   1.00  16.75  23.5  24.00  32.0   \n",
      "       3        1.0  30.000000        NaN  30.00  30.00  30.0  30.00  30.0   \n",
      "3      0      249.0  27.630201  11.501377   0.42  20.00  26.0  33.00  74.0   \n",
      "       1       63.0  24.912698  11.439018   1.00  17.50  25.0  32.50  48.0   \n",
      "       2       12.0  18.875000  13.276560   0.75   8.00  19.5  26.50  41.0   \n",
      "       3        8.0   8.875000  10.260013   2.00   2.75   6.0   9.25  33.0   \n",
      "       4       18.0   7.055556   4.880601   1.00   3.25   6.5   9.00  17.0   \n",
      "       5        5.0  10.200000   5.805170   1.00   9.00  11.0  14.00  16.0   \n",
      "       8        0.0        NaN        NaN    NaN    NaN   NaN    NaN   NaN   \n",
      "\n",
      "               Fare             ...  Parch      Survived                      \\\n",
      "              count        mean ...    75%  max    count      mean       std   \n",
      "Pclass SibSp                    ...                                            \n",
      "1      0      137.0   75.223356 ...    0.0  2.0    137.0  0.562044  0.497956   \n",
      "       1       71.0   88.492021 ...    1.0  4.0     71.0  0.746479  0.438123   \n",
      "       2        5.0  159.975840 ...    2.0  2.0      5.0  0.800000  0.447214   \n",
      "       3        3.0  263.000000 ...    2.0  2.0      3.0  0.666667  0.577350   \n",
      "2      0      120.0   15.532327 ...    0.0  2.0    120.0  0.416667  0.495074   \n",
      "       1       55.0   28.385682 ...    1.0  3.0     55.0  0.581818  0.497807   \n",
      "       2        8.0   44.468750 ...    1.0  3.0      8.0  0.500000  0.534522   \n",
      "       3        1.0   21.000000 ...    0.0  0.0      1.0  1.000000       NaN   \n",
      "3      0      351.0    9.832689 ...    0.0  5.0    351.0  0.236467  0.425519   \n",
      "       1       83.0   16.658487 ...    1.0  6.0     83.0  0.325301  0.471335   \n",
      "       2       15.0   19.564993 ...    1.0  2.0     15.0  0.333333  0.487950   \n",
      "       3       12.0   24.378483 ...    2.0  2.0     12.0  0.083333  0.288675   \n",
      "       4       18.0   31.855556 ...    2.0  2.0     18.0  0.166667  0.383482   \n",
      "       5        5.0   46.900000 ...    2.0  2.0      5.0  0.000000  0.000000   \n",
      "       8        7.0   69.550000 ...    2.0  2.0      7.0  0.000000  0.000000   \n",
      "\n",
      "                                       \n",
      "              min  25%  50%  75%  max  \n",
      "Pclass SibSp                           \n",
      "1      0      0.0  0.0  1.0  1.0  1.0  \n",
      "       1      0.0  0.5  1.0  1.0  1.0  \n",
      "       2      0.0  1.0  1.0  1.0  1.0  \n",
      "       3      0.0  0.5  1.0  1.0  1.0  \n",
      "2      0      0.0  0.0  0.0  1.0  1.0  \n",
      "       1      0.0  0.0  1.0  1.0  1.0  \n",
      "       2      0.0  0.0  0.5  1.0  1.0  \n",
      "       3      1.0  1.0  1.0  1.0  1.0  \n",
      "3      0      0.0  0.0  0.0  0.0  1.0  \n",
      "       1      0.0  0.0  0.0  1.0  1.0  \n",
      "       2      0.0  0.0  0.0  1.0  1.0  \n",
      "       3      0.0  0.0  0.0  0.0  1.0  \n",
      "       4      0.0  0.0  0.0  0.0  1.0  \n",
      "       5      0.0  0.0  0.0  0.0  0.0  \n",
      "       8      0.0  0.0  0.0  0.0  0.0  \n",
      "\n",
      "[15 rows x 32 columns]\n"
     ]
    }
   ],
   "source": [
    "# let's clean the dataset a little before moving on\n",
    "\n",
    "# 1. Remove attributes that just arent useful for us\n",
    "for col in ['PassengerId','Name','Cabin','Ticket']:\n",
    "    if col in df:\n",
    "        del df[col]\n",
    "\n",
    "# 2. Impute some missing values, grouped by their Pclass and SibSp numbers\n",
    "df_grouped = df.groupby(by=['Pclass','SibSp'])\n",
    "print (df_grouped.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 891 entries, 0 to 890\n",
      "Data columns (total 8 columns):\n",
      "Survived    891 non-null int64\n",
      "Age         884 non-null float64\n",
      "Parch       891 non-null int64\n",
      "Fare        891 non-null float64\n",
      "Pclass      891 non-null int64\n",
      "SibSp       891 non-null int64\n",
      "Sex         891 non-null object\n",
      "Embarked    889 non-null object\n",
      "dtypes: float64(2), int64(4), object(2)\n",
      "memory usage: 55.8+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# now use this grouping to fill the data set in each group, then transform back\n",
    "df_imputed = df_grouped.transform(lambda grp: grp.fillna(grp.median()))\n",
    "df_imputed[['Pclass','SibSp','Sex','Embarked']] = df[['Pclass','SibSp','Sex','Embarked']]\n",
    "\n",
    "print (df_imputed.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 891 entries, 0 to 890\n",
      "Data columns (total 9 columns):\n",
      "Survived     891 non-null int64\n",
      "Age          884 non-null float64\n",
      "Parch        891 non-null int64\n",
      "Fare         891 non-null float64\n",
      "Pclass       891 non-null int64\n",
      "SibSp        891 non-null int64\n",
      "Sex          891 non-null object\n",
      "Embarked     889 non-null object\n",
      "age_range    884 non-null category\n",
      "dtypes: category(1), float64(2), int64(4), object(2)\n",
      "memory usage: 56.7+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# 3. Computed discrete features agains now with the newest values\n",
    "df_imputed['age_range'] = pd.cut(df_imputed.Age,[0,16,65,1e6],3,labels=['child','adult','senior']) # this creates a new variable\n",
    "\n",
    "print (df_imputed.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 882 entries, 0 to 890\n",
      "Data columns (total 9 columns):\n",
      "Survived     882 non-null int64\n",
      "Age          882 non-null float64\n",
      "age_range    882 non-null category\n",
      "Sex          882 non-null object\n",
      "Parch        882 non-null int64\n",
      "SibSp        882 non-null int64\n",
      "Pclass       882 non-null int64\n",
      "Fare         882 non-null float64\n",
      "Embarked     882 non-null object\n",
      "dtypes: category(1), float64(2), int64(4), object(2)\n",
      "memory usage: 63.0+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# 4. drop rows that still had missing values after grouped imputation\n",
    "df_imputed.dropna(inplace=True)\n",
    "\n",
    "# 5. Rearrange the columns\n",
    "df_imputed = df_imputed[['Survived','Age','age_range','Sex','Parch','SibSp','Pclass','Fare','Embarked']]\n",
    "\n",
    "print (df_imputed.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of survivors in each group, with imputed values:\n",
      "Pclass  age_range\n",
      "1       child        88.888889\n",
      "        adult        62.189055\n",
      "        senior       25.000000\n",
      "2       child        90.476190\n",
      "        adult        42.236025\n",
      "        senior        0.000000\n",
      "3       child        37.837838\n",
      "        adult        22.303922\n",
      "        senior        0.000000\n",
      "Name: Survived, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# did the statistics of survival change much? Let' check by repeating the previous grouped calcualtions\n",
    "df_grouped = df_imputed.groupby(by=['Pclass','age_range'])\n",
    "print (\"Percentage of survivors in each group, with imputed values:\")\n",
    "print (df_grouped.Survived.sum() / df_grouped.Survived.count() *100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         Survived         Age      Pclass        Fare\n",
      "count  882.000000  882.000000  882.000000  882.000000\n",
      "mean     0.385488    0.362094    0.653061    0.062068\n",
      "std      0.486986    0.166808    0.417871    0.097168\n",
      "min      0.000000    0.000000    0.000000    0.000000\n",
      "25%      0.000000    0.271174    0.500000    0.015412\n",
      "50%      0.000000    0.321438    1.000000    0.028213\n",
      "75%      1.000000    0.459663    1.000000    0.059532\n",
      "max      1.000000    1.000000    1.000000    1.000000\n"
     ]
    }
   ],
   "source": [
    "df_sub = df_imputed[['Survived','Age','Pclass','Fare']]\n",
    "df_normalized = (df_sub-df_sub.min())/(df_sub.max()-df_sub.min())\n",
    "\n",
    "print (df_normalized.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1. 1. 1. 1.]\n",
      "[ 6.04203007e-18  1.53064762e-16 -1.89316942e-16 -6.04203007e-17]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "df_matrix = df_imputed[['Survived','Age','Pclass','Fare']].values\n",
    "\n",
    "s_obj = StandardScaler()\n",
    "df_matrix_norm = s_obj.fit_transform(df_matrix)\n",
    "\n",
    "print (np.std(df_matrix_norm, axis=0) )# unit std\n",
    "print (np.mean(df_matrix_norm, axis=0)) # zero mean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# One Hot Encoding with Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender_female</th>\n",
       "      <th>gender_male</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gender_female  gender_male\n",
       "0              0            1\n",
       "1              1            0\n",
       "2              1            0\n",
       "3              1            0\n",
       "4              0            1"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# using one hot encoding representations\n",
    "tmpdf = pd.get_dummies(df_imputed['Sex'],prefix='gender')\n",
    "tmpdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class_1</th>\n",
       "      <th>class_2</th>\n",
       "      <th>class_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   class_1  class_2  class_3\n",
       "0        0        0        1\n",
       "1        1        0        0\n",
       "2        0        0        1\n",
       "3        1        0        0\n",
       "4        0        0        1"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# using one hot encoding representations\n",
    "tmpdf = pd.get_dummies(df_imputed['Pclass'],prefix='class')\n",
    "tmpdf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Visualization in Python with Pandas, Matplotlib, and Others"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this python magics will allow plot to be embedded into the notebook\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "warnings.simplefilter('ignore', DeprecationWarning)\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pandas has plenty of plotting abilities built in. Let's take a look at a few of the different graphing capabilities of Pandas with only matplotlib. Afterward, we can make the visualizations more beautiful."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Start by just plotting what we previsously grouped!\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "df_grouped = df_imputed.groupby(by=['Pclass','age_range'])\n",
    "survival_rate = df_grouped['Survived'].sum() / df_grouped['Survived'].count()\n",
    "ax = survival_rate.plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Survived</th>\n",
       "      <th>False</th>\n",
       "      <th>True</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pclass</th>\n",
       "      <th>age_range</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">1</th>\n",
       "      <th>adult</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>child</th>\n",
       "      <td>76</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>senior</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2</th>\n",
       "      <th>adult</th>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>child</th>\n",
       "      <td>93</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>senior</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">3</th>\n",
       "      <th>adult</th>\n",
       "      <td>46</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>child</th>\n",
       "      <td>317</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>senior</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Survived          False  True \n",
       "Pclass age_range              \n",
       "1      adult          1      8\n",
       "       child         76    125\n",
       "       senior         3      1\n",
       "2      adult          2     19\n",
       "       child         93     68\n",
       "       senior         2      0\n",
       "3      adult         46     28\n",
       "       child        317     91\n",
       "       senior         2      0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the cross tab operator provides an easy way to get these numbers\n",
    "survival = pd.crosstab(index=[df_imputed['Pclass'],df_imputed['age_range']], \n",
    "                       columns = df_imputed['Survived'].astype(bool))\n",
    "survival"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "survival_rate = survival.div(survival.sum(axis=1).astype(float),\n",
    "                             axis=0) # normalize the value in a new series\n",
    "\n",
    "# print survival_rate\n",
    "survival_rate.plot(kind='barh', \n",
    "                   stacked=True)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff58638ea90>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cross tabulate example from http://nbviewer.ipython.org/gist/fonnesbeck/5850463# \n",
    "survival_counts = pd.crosstab(index=[df_imputed['Pclass'],df_imputed['Sex']], \n",
    "                              columns=df_imputed.Survived.astype(bool))\n",
    "survival_counts.plot(kind='bar', \n",
    "                     stacked=True)\n",
    "\n",
    "# divide the counts to get rates\n",
    "survival_rate = survival_counts.div(survival_counts.sum(axis=1).astype(float),axis=0)\n",
    "survival_rate.plot(kind='barh', \n",
    "                   stacked=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pandas has some really powerful extensions to matplotlib for scientific computing \n",
    "ax = df_imputed.boxplot()\n",
    "ax.set_yscale('log')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_imputed.boxplot(column='Fare', by = 'Pclass')\n",
    "ax.set_yscale('log')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1152 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# lets look at the boxplots separately\n",
    "vars_to_plot_separate = [['Survived','SibSp','Pclass'],\n",
    "                         ['Parch'],\n",
    "                         ['Age'],\n",
    "                         ['Fare'] ]\n",
    "plt.figure(figsize=(20, 16))\n",
    "\n",
    "for index, plot_vars in enumerate(vars_to_plot_separate):\n",
    "    plt.subplot(len(vars_to_plot_separate)/2, \n",
    "                2, \n",
    "                index+1)\n",
    "    ax = df_imputed.boxplot(column=plot_vars)\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 288x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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89re/7bT92VLAJycny5QpU6xdRpvdHPDZ2dkSHBwsY8eOlffff1+cnJzMXs01ZskSzY4dO8TR0VHq6upERCQ6Olq7WupmxcXFAkD+8Y9/tPl4egK+ydpOkZGROHfuHA4cOIC4uDj8+OOPmD17NqKjo83ecLtZ3759za6kGTRoEPR6vfbBJV9fX2RmZuLEiRN4/vnn4erqimeffRZDhw5FYWGhWV/jxo3T/u7l5YXQ0FCzD0DZEhHBypUr4eXlhZEjRyI0NBQvvfSStcvqdEFBQXj99deRnJxs7VLaZd++fXBzc0Pv3r0xbNgwBAcHY+vWrcjKykJYWJjZh8xas2PHDkycOBF+fn5wc3PDo48+iurqau2N43/7t3/DJ598gmHDhuG3v/0t9u7dq31wz8vLC0uWLMH06dNx//33IykpCadPn+6UY+7OGPAdwMHBAREREXjmmWewa9cubNiwAbt370ZGRsZt9dPcfwihoaF47LHH8MEHH+Do0aPIzc3F22+/fdv93MrkyZPNrmzpTC4uLjh8+DBu3LiBwsJCpKamtvlj+JbIyclBVFRUp/V/O3VcvHgRI0eOtHYp7TJ27FgcO3YMJ0+eREVFBdLS0hAcHAyg6dU7t/L111/j4YcfxsSJE7Fz504cOXIE77zzDgCguroaADB9+nRcunQJiYmJqKysRGxsLO677z7tU7nr169HVlYWpk2bhv3792PYsGF49913O/iIuzcGfCcIDQ0FgCZn2o1dvXrV7OPcZ86cQVFRkfbY5gQFBcHFxaVJv40vwbx27RpOnTp1y36I2qp3794ICQlBUFCQ2XX84eHhyM7OtvhEoeHS3lWrVmHs2LEYNGhQs4/19vbGvHnz8O677+KLL77A/v37zV6dDhs2DP/+7/+OvXv34l//9V/x3nvvtf8gFeJg7QK6u0mTJmHevHkYPXo0+vbti7NnzyIhIQGenp7aNcTNcXFxweLFi/HXv/5V+w6T4cOHa2ebTzzxBHx9fXHfffchICAAJpMJr7/+OkpKSsy+w0Sn0+HZZ5/FmjVr4OXlhcTERLi6ut7yWmeijjZv3jysXr0a0dHRWL16NQYMGIDz58/DZDJh7ty5TdoPHjwYV69eRUpKCqZMmYLMzEy89dZbZm0SExMRHh6OoUOHws7ODlu2bIGbmxsCAgJw9uxZrF+/Hg8++CD8/f2Rn5+PAwcOYNSoUV11yN0Cz+Db6f7778eWLVswY8YMDB48GIsXL8bAgQNx8OBB6PX6Fh/Xv39/LFu2DLNnz0ZkZCR69+6NnTt3ai9zp02bhqysLMybNw+DBg3CjBkzUFBQgD179mDatGlaP3Z2dnj55Zfx2GOPYfTo0SgoKMAXX3xh9qlUos7m4uKiLZM88sgjCA0NRXx8PCoqKppt/8ADDyAxMREJCQkYPnw4tm3bhldffdWsjbOzM1544QWEh4dj9OjROH78OPbu3QsPDw+4urrihx9+wCOPPIJBgwZh9uzZiIiIaPJlaT2dTm53wZZsxoYNG7BkyRLtmxiJiBrjGTwRkaIY8EREiuISDRGRongGT0SkKAY8EZGiGPBERIrqtA86NfdrQLZAr9fDZDJZu4xux9bHrbkfJ+lKnO/qseWxs3S+8wyeiEhRDHgiIkUx4ImIFMWAJyJSlEVvssbHx8PZ2Rl2dnawt7dHUlJSZ9dFRETtZPFVNCtXruzUH2bobGPGjDG70sHPzw+HDx+2YkVERJ2rRyzRNIR7eHg4cnJyEB4ejvz8fIwZM8bapRERdRqLz+D//Oc/A/j5e8pt4SfQbkdDuH/22WfQ6/X47LPPEB0djaysLGuXRkTUaSz6srHi4mJ4e3vj+vXrWLVqFRYvXoywsDCzNunp6di1axfKy8uRkpKi/a6iLXByckJOTg769+8PBwcH1NbWoqCgAEFBQaiqqrJ2ed1Cw7jZKkdHxy7dny3P98Zs/XmzZbY8dpbO99v+Nsnt27fD2dkZ0dHRt2xnS5/sMxgMZmfwJpNJO4PPy8uzdnndgi1/qg/gJ1lbYuvPmy2z5bHrsE+yVlZWaj+7VVlZiePHjyMgIKB91XUxPz8/ZGVlITo6GgUFBVq4WzsUiIg6U6tr8NevX8df/vIXAEBdXR3Gjx+Pu+++u9ML60iHDx/GmDFjkJWVhaCgIAC8ioaI1NdqwPfr16/Jj+F2Rw1hbssvu4iIOlKPuEySiKgnYsATESmKAU9EpCgGPBGRohjwRESKYsATESmKAU9EpCgGPBGRohjwRESKYsATESmKAU9EpCgGPBGRohjwRESKYsATESmKAU9EpCgGPBGRohjwRESKYsATESmKAU9EpCgGPBGRohjwRESKYsATESmKAU9EpCgGPBGRohjwRESKYsATESmKAU9EpCgGPBGRohjwRESKYsATESnK4oCvr6/Hs88+i6SkpM6sh4iIOojFAb9nzx4YDIbOrKVTGQwGGAwGODk5aX+n1s2fPx9GoxFOTk4wGo2YP3++tUsiIgtZFPBFRUU4cuQIpk6d2tn1dIqGMNfpdNi9ezd0Op3Zdmre/PnzsX//fsTGxqKwsBCxsbHYv38/Q56om3CwpNGGDRsQGxuLioqKzq6n0+h0OuTm5kKv1yM3NxdGoxEiYu2ybFpGRgYWLFiApKQkeHh4aMtzmzdvtnJlRGQJnbSScllZWTh69CiWLFmC7OxsfP7551ixYkWTdunp6di1axfKy8uRkpKC6urqTiv6djk5OWH37t2YNm0aHBwcUFtbi7S0NDzwwAOoqqqydnk2y8nJCYWFhfDw8NDG7fr167jjjjtsbtwcHR27dH+2PN8ba3je6PbZ8thZOt9bDfitW7ciIyMD9vb2qK6uRkVFBe655x489dRTt+w4Pz/f8mo7mcFgMDuDN5lM2hl8Xl6etcuzWUajEbGxsUhKStLGbcWKFdi8eTNyc3OtXZ4ZPz8/q+7fluZ7Yw3PG90+Wx47S+d7q0s08+fP19ZcG87gWwt3WyQiMBqN+Pzzz/Hggw9yecYCEydOxKZNmwAAycnJWLFiBTZt2oRJkyZZuTIiskSPuA6+4SxdRPDAAw9o4c6z91vbunUrJk2ahM2bN+OOO+7A5s2bMWnSJGzdutXapRGRBVpdomkrvmRVi62PG5dommfrz5sts+Wxs3S+94gzeCKinogBT0SkKAY8EZGiGPBERIpiwBMRKYoBT0SkKAY8EZGiGPBERIpiwBMRKYoBT0SkKAY8EZGiGPBERIpiwBMRKYoBT0SkKAY8EZGiGPBERIpiwBMRKYoBT0SkKAY8EZGiGPBERIpiwBMRKYoBT0SkKAY8EZGiGPBERIpiwBMRKYoBT0SkKAY8EZGiGPBERIpiwBMRKYoBT0SkKAY8EZGiHFprUF1djZUrV6K2thZ1dXW49957ERMT0xW1dSiDwdBkW15enhUq6V6ioqJw8uRJ7XZoaCjS09OtWBERWarVM/hevXph5cqVePXVV7F69WocO3YMZ86c6YraOkxDuPfq1Qv79u1Dr169zLZT8xrCfdq0acjLy8O0adNw8uRJREVFWbs0IrJAqwGv0+ng7OwMAKirq0NdXR10Ol2nF9bRevXqhZycHIwbNw45OTlayFPLGsJ9w4YN0Ov12LBhgxbyRGT7dCIirTWqr6/Hc889hytXrmD69OmIjY1t0iY9PR27du1CeXk5UlJSUF1d3SkFt4WTkxP27duHcePGwcHBAbW1tfjqq68wefJkVFVVWbs8m+Xk5IS8vDzo9Xpt3EwmEwwGg82Nm6OjY5fuz9bme+q6s7f9mMXxIZ1QSfdTuGA6pPQGACBgT1aL7S7NCAcA6NzcccemL7uktpZYOt8tCvgGZWVl+Mtf/oLFixcjICDglm3z8/Mt7bbTGQwG7Qxer9fDZDIhKCgINTU1XIe/BYPBYHYGbzKZsGjRIqSlpdncuPn5+Vl1/9ae73VLo2G//rMm2xueN0vb90Tdcewsne+3dRWNq6srwsLCcOzYsTYVZU01NTUICgrCV199pYU73VpoaCjS0tKwaNEis3APDQ21dmlEZIFWA76kpARlZWUAfr6i5p///Ge3e3Oy4WyzpqYGkydP1sLd1s5CbU16eroW8gaDQQt3XkVD1D20epnkTz/9hHXr1qG+vh4ignHjxiE8PLwrautQDWHe0ssual5DmHPciLqfVgM+MDAQq1ev7opaiIioA/GTrEREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpyqG1BiaTCevWrcO1a9eg0+kQFRWFGTNmdEVtRETUDq0GvL29PRYsWIDg4GBUVFRgxYoVGDFiBIxGY1fUR0REbdTqEo2XlxeCg4MBAL1794bBYEBxcXGnF0ZERO3T6hl8Y4WFhbhw4QJCQkKa3Jeeno5du3ahvLwcKSkp0Ov1HVZkezk5ObV4X1VVVRdW0r1w3Fpma/P9RwB1S6Ob3d4cnZu71Wu2FalRG4GPrjVzT3PbAERtxOJuMnY6ERFLGlZWVmLlypWYNWsWxo4d22r7/Pz8dhfXGeqWRsN+/WfWLqPbsfVx8/Pzs+r+Od+7r5bGSK/Xw2QyWdy+K1k63y26iqa2thbJycmYMGGCReFORETW12rAiwjeeecdGAwGPPDAA11RExERdYBW1+BPnz6NjIwMBAQE4Pe//z0AYN68eRg1alSnF0dERG3XasAPGTIE27dv74paiIioA/GTrEREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpigFPRKQoBjwRkaIY8EREimLAExEpyqG1Bm+99RaOHDkCDw8PJCcnd0VNRETUAVo9g588eTISEhK6ohYiIupArQZ8WFgY3NzcuqIWIiLqQFyDJyJSVKtr8JZKT0/Hrl27UF5ejpSUFOj1+o7quk0KF0yHlN5o9r66pdFNtunc3HHHpi87u6xuoaWx47j9P1ub7405OTmZbzAYtL9WVVV1cTW270f8/9wO2JPVYrtLM8IB/Dznben5vpUOC/ioqChERUVpt00mU0d13SZSegP26z9rsl2v1zdbW93SaKvXbCuaGztbHzc/P78u3Z+tzffG8vLytL/f/LzZUp22ovFcz2u0vaU5D1h/HC2d71yiISJSVKtn8K+99hpOnDiBGzdu4PHHH0dMTAzuu+++rqiNiIjaodWAf/rpp7uiDiIi6mBcoiEiUhQDnohIUQx4IiJFMeCJiBTFgCciUhQDnohIUQx4IiJFMeCJiBTFgCciUhQDnohIUQx4IiJFMeCJiBTFgCciUhQDnohIUQx4IiJFMeCJiBTFgCciUhQDnohIUQx4IiJFMeCJiBTFgCciUhQDnohIUQx4IiJFMeCJiBTFgCciUhQDnohIUQx4IiJFMeCJiBTFgCciUhQDnohIUQ6WNDp27BhSU1NRX1+PqVOn4qGHHursuoiIqJ1aPYOvr69HSkoKEhIS8Ne//hUHDx5Ebm5uV9RGRETt0GrAnz17Fr6+vujXrx8cHBwQERGBw4cPd0VtRETUDq0GfHFxMXx8fLTbPj4+KC4u7tSiiIio/VpdgxeRJtt0Ol2Tbenp6di1axfKy8uRkpICvV7fMRW2UWrURuCja83c09w2AFEbsdjKNduK5seO49aYrc33ljg4ONhsbbZOhbHTSXMJ3siZM2fw8ccfIzExEQCwc+dOAMCvfvWrW3acn5/fQSV2LL1eD5PJZO0yuh1bHzc/Pz+r7p/zXT22PHaWzvdWl2gGDBiAgoICFBYWora2Fv/7v/+L0aNHt7tAIiLqXK0u0djb2+PXv/41/vznP6O+vh5TpkyBv79/V9RGRETtYNF18KMWbB1sAAAFt0lEQVRGjcKoUaM6uxYiIupA/CQrEZGiGPBERIpiwBMRKYoBT0SkKAY8EZGiWv2gExERdU897gx+xYoV1i6hW+K4dU983tpOhbHrcQFPRNRTMOCJiBTV4wI+KirK2iV0Sxy37onPW9upMHZ8k5WISFE97gyeiKinsOjLxlTAHw5vm7feegtHjhyBh4cHkpOTrV0O3QbO+bZRac73iDN4/nB4202ePBkJCQnWLoNuE+d826k053tEwPOHw9suLCwMbm5u1i6DbhPnfNupNOd7RMDzh8Opp+GcJ6CHBLylPxxOpArOeQJ6SMD7+PigqKhIu11UVAQvLy8rVkTUuTjnCeghAc8fDqeehnOegB70QacjR47gb3/7m/bD4bNmzbJ2Sd3Ca6+9hhMnTuDGjRvw8PBATEwM7rvvPmuXRRbgnG8bleZ8jwl4IqKepkcs0RAR9UQMeCIiRTHgiYgUxYAnIlIUA56ISFEMeBvz3nvv4ZNPPunwfrdv34433nijw/slai/O+c7TY74uuL1OnTqFzZs34/Lly7Czs4PRaERcXBxCQkI6dD/Lli3r0P6I2opzvvtjwFugvLwcSUlJWLJkCSIiIlBbW4uTJ0+iV69et9WPiEBEYGfHF05k2zjn1cCAt0BBQQEAYPz48QAAR0dH3HXXXQB+fhl45coVPPXUUwCAwsJC/OY3v8GHH34Ie3t7vPjiixg8eDBOnDiB8+fPY9asWTh8+DCSkpK0/nfv3o3s7Gw899xzWLduHXx8fPDII49g+fLliI2NRXh4OACgrq4Oy5YtQ2JiIoKDg3HmzBls3LgRubm56Nu3LxYtWoShQ4dqdaxbtw4XLlzAwIED4efn12XjRd0f57wa+N+qBfr37w87OzusXbsWR48eRWlp6W09PiMjA8uWLcPGjRtx//33Iz8/X/sHBAAHDx7U/iE1FhkZiYMHD2q3v/vuO7i7uyM4OBjFxcVISkrCrFmz8MEHH2DBggVITk5GSUkJAOD1119HcHAwUlJSMHv2bOzfv7+NR089Eee8GhjwFnBxccFLL70EnU6Hd999F0uWLMF//ud/4tq1axY9fvLkyfD394e9vT1cXFwwevRobRIXFBQgLy+v2S+CGj9+PL799ltUVVUBADIzM7V/FBkZGRg5ciRGjRoFOzs7jBgxAgMGDMCRI0dgMplw7tw5zJ07F7169UJYWJh2RkRkCc55NXCJxkJGoxHx8fEAgLy8PLz55pvYsGGDRS8DG//wAvDzJN60aRPmzJmDzMxMjBkzBk5OTk0e5+vrC4PBgKysLISHh+Pbb7/F6tWrAQAmkwmHDh1CVlaW1r6urg5Dhw5FcXExXF1d4ezsrN3Xt29fmEymNh079Uyc890fA74NDAYDJk+ejLS0NAQHB6O6ulq7r7kznJt/aOGuu+7CunXrkJOTg4MHDyIuLq7FfUVGRiIzMxP19fUwGo3w9fUF8PM/oAkTJuDxxx9v8pirV6+irKwMlZWV2oTv6ROd2odzvnviEo0F8vLy8Pnnn2s/oGAymXDw4EEMHDgQQUFBOHnyJEwmE8rLy/Hpp5+22p+9vT3uvfdebNq0CaWlpRgxYkSLbSMjI3H8+HGkpaWZrVlOmDABWVlZOHbsGOrr61FdXY3s7GwUFRWhb9++GDBgALZv347a2lqcOnXK7KyHqDWc82rgGbwFevfujR9++AG7d+9GeXk5XFxcEB4ejtjYWLi4uGDcuHH43e9+B3d3d/zyl7/Et99+22qf48ePx8qVK/GLX/wC9vb2Lbbz8vLCoEGDcOLECSxfvlzbrtfr8eyzz2Lz5s14/fXXYWdnh5CQECxduhQA8NRTT2HdunVYvHgxBg0ahIkTJ6KsrKz9g0E9Aue8Gvh98EREiuISDRGRohjwRESKYsATESmKAU9EpCgGPBGRohjwRESKYsATESmKAU9EpCgGPBGRov4PxbhONGYDtdIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 288x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# lets look at the boxplots separately\n",
    "# these are examples of POOR plotting \n",
    "#   using integers on a boxplot in this case doesnt reveal much\n",
    "\n",
    "vars_to_plot_separate = [['SibSp','Pclass'],\n",
    "                         ['Parch'],\n",
    "                         ['Age'],\n",
    "                         ['Fare']]\n",
    "\n",
    "for index, plot_vars in enumerate(vars_to_plot_separate):\n",
    "    plt.figure(figsize=(4, 4))\n",
    "    ax = df_imputed.boxplot(column=plot_vars, by='Survived')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 36 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#color options?\n",
    "\n",
    "from pandas.plotting import scatter_matrix\n",
    "\n",
    "ax = scatter_matrix(df_imputed,figsize=(15, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jat055000_gmail_com/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py:4401: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self[name] = value\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff58413d5c0>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import parallel_coordinates\n",
    "\n",
    "# this plot is more meaningful when values are normalized\n",
    "# parallel_coordinates(df_imputed[['Survived','Age','Pclass','Fare']],'Survived')\n",
    "\n",
    "df_sub = df_imputed[['Survived','Age','Pclass','Sex']]\n",
    "df_sub.Sex = df_sub.Sex=='male' \n",
    "\n",
    "df_normalized = (df_sub-df_sub.mean())/(df_sub.std())\n",
    "df_normalized.Survived = df_sub.Survived\n",
    "\n",
    "# add some jitter to the Pclass and Sex variables\n",
    "df_normalized.Pclass = df_normalized.Pclass+np.random.rand(*df_normalized.Pclass.shape)/2\n",
    "df_normalized.Sex = df_normalized.Sex+np.random.rand(*df_normalized.Sex.shape)/2\n",
    "\n",
    "\n",
    "parallel_coordinates(df_normalized,'Survived')\n",
    "\n",
    "plt.figure()\n",
    "parallel_coordinates(df_normalized[df_sub.Pclass>1],'Survived')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from pandas.tools.plotting import andrews_curves\n",
    "\n",
    "# # using frequency analysis to breakdwon the prediction\n",
    "# plt.figure(figsize=(20,6))\n",
    "# andrews_curves(df_imputed,\"Survived\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import numpy as np\n",
    "\n",
    "# make empirical CDFs\n",
    "plt.figure(figsize=(20,10))\n",
    "for fi,feature in enumerate(['Age','Fare']):\n",
    "    plt.subplot(3,3,fi+1)\n",
    "    x_ax = np.sort(df_imputed[feature])\n",
    "    y_ax = np.cumsum(x_ax)\n",
    "    y_ax = y_ax/np.max(y_ax)\n",
    "    plt.plot(x_ax,y_ax)\n",
    "    plt.title(feature)\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make percentile plots\n",
    "plt.figure(figsize=(20,10))\n",
    "for fi,feature in enumerate(['Age','Fare']):\n",
    "    plt.subplot(3,3,fi+1)\n",
    "    x_ax = np.linspace(0,100,10)\n",
    "    y_ax = [np.percentile(df_imputed[feature], x_val) for x_val in x_ax]\n",
    "    plt.plot(x_ax,y_ax)\n",
    "    plt.title(feature)\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simplifying with Seaborn\n",
    "Now let's take a look at what we get from our previous import statement: \n",
    "+ `import seaborn as sns` \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "cmap = sns.diverging_palette(220, 10, as_cmap=True) # one of the many color mappings\n",
    "\n",
    "# now try plotting some of the previous plots, way more visually appealing!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7ff57e55a9b0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 924.75x864 with 42 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#can import seaborn and use matplotlib and it will benefit?\n",
    "\n",
    "df_imputed_jitter = df_imputed.copy()\n",
    "df_imputed_jitter[['Parch','SibSp','Pclass']] = df_imputed_jitter[['Parch','SibSp','Pclass']].values + np.random.rand(len(df_imputed_jitter),3)/2 \n",
    "sns.pairplot(df_imputed_jitter, hue=\"Survived\", size=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the correlation matrix using seaborn\n",
    "sns.set(style=\"darkgrid\") # one of the many styles to plot using\n",
    "\n",
    "f, ax = plt.subplots(figsize=(9, 9))\n",
    "\n",
    "sns.heatmap(df_imputed.corr(), cmap=cmap, annot=True)\n",
    "\n",
    "f.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff5857fccc0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize=(9, 9))\n",
    "\n",
    "sns.violinplot(x=\"SibSp\", y=\"Age\", hue=\"Survived\", data=df_imputed, \n",
    "               split=True, inner=\"quart\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7ff57f0e0b70>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 553x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# this generic plotting for categorically grouped data\n",
    "sns.factorplot(x='age_range',y='Fare',hue='Survived',data=df_imputed, \n",
    "               kind='violin', # other options: violin, bar, box, and others \n",
    "               palette='PRGn',\n",
    "               size=7,ci=95)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jat055000_gmail_com/anaconda3/lib/python3.6/site-packages/matplotlib/contour.py:1004: UserWarning: The following kwargs were not used by contour: 'label', 'color'\n",
      "  s)\n",
      "/home/jat055000_gmail_com/anaconda3/lib/python3.6/site-packages/matplotlib/contour.py:1004: UserWarning: The following kwargs were not used by contour: 'label', 'color'\n",
      "  s)\n",
      "/home/jat055000_gmail_com/anaconda3/lib/python3.6/site-packages/matplotlib/contour.py:1004: UserWarning: The following kwargs were not used by contour: 'label', 'color'\n",
      "  s)\n",
      "No handles with labels found to put in legend.\n",
      "No handles with labels found to put in legend.\n",
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7ff5861ffcf8>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 540x540 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"white\")\n",
    "\n",
    "# create a plot grid\n",
    "g = sns.PairGrid(df_imputed[['Fare','Survived','SibSp']], diag_sharey=False)\n",
    "g.map_lower(sns.kdeplot, cmap=\"Blues_d\") # use joint kde on the lower triangle\n",
    "g.map_upper(plt.scatter) # scatter on the upper\n",
    "g.map_diag(sns.kdeplot, lw=3) # kde histogram on the diagonal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'DataFrame' object has no attribute 'sort'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-38-22e1d08b987f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0mdf_sub\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf_imputed\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Survived'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'Age'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'Pclass'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'Fare'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0mdf_normalized\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf_sub\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mdf_sub\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_sub\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0mdf_sorted\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf_normalized\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msort\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'Survived'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0mY\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdistance\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpdist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_sorted\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"euclidean\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0mA\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdistance\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msquareform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mY\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   4370\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4371\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4372\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   4373\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4374\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'sort'"
     ]
    }
   ],
   "source": [
    "# plot the similarity matrix using matplotlib\n",
    "from scipy.spatial import distance\n",
    "\n",
    "sns.set(rc={'image.cmap': 'cubehelix'})\n",
    "\n",
    "# get a subset of the data, and normalize it\n",
    "df_sub = df_imputed[['Survived','Age','Pclass','Fare']]\n",
    "df_normalized = (df_sub-df_sub.mean())/(df_sub.std())\n",
    "df_sorted = df_normalized.sort(columns='Survived')\n",
    "Y = distance.pdist(df_sorted, \"euclidean\")\n",
    "A = distance.squareform(Y)\n",
    "S = 0.5/(1+np.exp(A)) # convert from distance to similarity\n",
    "#plot the similarity matrix using seaborn color utilities\n",
    "\n",
    "# plt.figure(figsize=(20,10))\n",
    "plt.pcolormesh(S)\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Update: Using the now open source version of Plotly\n",
    "- https://plot.ly/python/getting-started/\n",
    "\n",
    "More updates to come to this section of the notebook. Plotly is a major step in the direction of using JavaScript and python together and I would argue it has a much better implementation than using MPLD3. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# directly from the getting started example...\n",
    "import plotly\n",
    "print (plotly.__version__    )        # version 1.9.x required\n",
    "plotly.offline.init_notebook_mode() # run at the start of every notebook\n",
    "plotly.offline.iplot({\n",
    "    \"data\": [{\n",
    "        \"x\": [1, 2, 3],\n",
    "        \"y\": [4, 2, 5]\n",
    "    }],\n",
    "    \"layout\": {\n",
    "        \"title\": \"hello world\"\n",
    "    }\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from plotly.graph_objs import *\n",
    "# let's manipulate the example to serve our purposes\n",
    "plotly.offline.iplot({\n",
    "    'data':[\n",
    "        Scatter(x=df_imputed.SibSp.values+np.random.rand(*df_imputed.SibSp.shape)/5,\n",
    "                y=df_imputed.Age,\n",
    "                text=df_imputed.Survived.values.astype(str),\n",
    "                marker=Marker(size=df_imputed.Fare, sizemode='area', sizeref=1,),\n",
    "                mode='markers')\n",
    "            ],\n",
    "    'layout': Layout(xaxis=XAxis(title='Sibling and Spouses'), yaxis=YAxis(title='Age'))\n",
    "}, show_link=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualizing more than three attributes requires a good deal of thought. In the following graph, lets use interactivity to help bolster the analysis. We will create a graph with custom text overlays that help refine the passenger we are looking at. We will \n",
    "- color code whether they survived\n",
    "- Scatter plot Age and Social class\n",
    "- Code the number of siblings/spouses traveling with them through the size of the marker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_text(df_row):\n",
    "    return 'Age: %d<br>Class: %d<br>Fare: %.2f<br>SibSpouse: %d<br>ParChildren: %d'%(df_row.Age,df_row.Pclass,df_row.Fare,df_row.SibSp,df_row.Parch)\n",
    "\n",
    "df_imputed['text'] = df_imputed.apply(get_text,axis=1)\n",
    "textstring = ['Perished','Survived', ]\n",
    "\n",
    "plotly.offline.iplot({\n",
    "    'data': [\n",
    "        Scatter(x=df_imputed.Pclass[df_imputed.Survived==val].values+np.random.rand(*df_imputed.SibSp[df_imputed.Survived==val].shape)/2,\n",
    "                y=df_imputed.Age[df_imputed.Survived==val],\n",
    "                text=df_imputed.text[df_imputed.Survived==val].values.astype(str),\n",
    "                marker=Marker(size=df_imputed[df_imputed.Survived==val].SibSp, sizemode='area', sizeref=0.01,),\n",
    "                mode='markers',\n",
    "                name=textstring[val]) for val in [0,1]\n",
    "    ],\n",
    "    'layout': Layout(xaxis=XAxis(title='Class'), yaxis=YAxis(title='Age'))\n",
    "}, show_link=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Seaborn, Matplotlib, and Plotly\n",
    "If we can capture the matplotlib figure, then we can usually export it to plotly, like so:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from plotly.offline import iplot_mpl\n",
    "\n",
    "fig = plt.figure()\n",
    "\n",
    "sns.set_palette(\"hls\")\n",
    "sns.distplot(df_imputed.Age);\n",
    "\n",
    "iplot_mpl(fig, strip_style = False) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But it can't do everything'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "f, ax = plt.subplots(figsize=(9, 9))\n",
    "\n",
    "sns.violinplot(x=\"SibSp\", y=\"Age\", hue=\"Survived\", data=df_imputed, \n",
    "               split=True, inner=\"quart\")\n",
    "\n",
    "iplot_mpl(f) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Other visualization options\n",
    "There are many visualization libraries in python (most of which connect with pandas or numpy). So try out different visuals. Here is a great article on using different visualizations:\n",
    "- https://dansaber.wordpress.com/2016/10/02/a-dramatic-tour-through-pythons-data-visualization-landscape-including-ggplot-and-altair/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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