Visualization_Area_plot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing the libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function    #adds compatibility to Python2\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#using the inline backend\n",
    "%matplotlib inline\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Matplotlib version: 3.1.3\n"
     ]
    }
   ],
   "source": [
    "print(\"Matplotlib version:\", mpl.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark-palette', 'seaborn-dark', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'seaborn', 'Solarize_Light2', 'tableau-colorblind10', '_classic_test']\n"
     ]
    }
   ],
   "source": [
    "print(plt.style.available)\n",
    "mpl.style.use(['ggplot'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_can = pd.read_excel(\"Canada.xlsx\", sheet_name= \"Canada by Citizenship\", skiprows= range(20), skipfooter=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic Operations and cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>Type</th>\n",
       "      <th>Coverage</th>\n",
       "      <th>OdName</th>\n",
       "      <th>AREA</th>\n",
       "      <th>AreaName</th>\n",
       "      <th>REG</th>\n",
       "      <th>RegName</th>\n",
       "      <th>DEV</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>...</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Immigrants</td>\n",
       "      <td>Foreigners</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>935</td>\n",
       "      <td>Asia</td>\n",
       "      <td>5501</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>902</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>2978</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Immigrants</td>\n",
       "      <td>Foreigners</td>\n",
       "      <td>Albania</td>\n",
       "      <td>908</td>\n",
       "      <td>Europe</td>\n",
       "      <td>925</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>901</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1450</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Immigrants</td>\n",
       "      <td>Foreigners</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>903</td>\n",
       "      <td>Africa</td>\n",
       "      <td>912</td>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>902</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>3616</td>\n",
       "      <td>3626</td>\n",
       "      <td>4807</td>\n",
       "      <td>3623</td>\n",
       "      <td>4005</td>\n",
       "      <td>5393</td>\n",
       "      <td>4752</td>\n",
       "      <td>4325</td>\n",
       "      <td>3774</td>\n",
       "      <td>4331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Immigrants</td>\n",
       "      <td>Foreigners</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>909</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>957</td>\n",
       "      <td>Polynesia</td>\n",
       "      <td>902</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Immigrants</td>\n",
       "      <td>Foreigners</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>908</td>\n",
       "      <td>Europe</td>\n",
       "      <td>925</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>901</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Type    Coverage          OdName  AREA AreaName   REG  \\\n",
       "0  Immigrants  Foreigners     Afghanistan   935     Asia  5501   \n",
       "1  Immigrants  Foreigners         Albania   908   Europe   925   \n",
       "2  Immigrants  Foreigners         Algeria   903   Africa   912   \n",
       "3  Immigrants  Foreigners  American Samoa   909  Oceania   957   \n",
       "4  Immigrants  Foreigners         Andorra   908   Europe   925   \n",
       "\n",
       "           RegName  DEV             DevName  1980  ...  2004  2005  2006  \\\n",
       "0    Southern Asia  902  Developing regions    16  ...  2978  3436  3009   \n",
       "1  Southern Europe  901   Developed regions     1  ...  1450  1223   856   \n",
       "2  Northern Africa  902  Developing regions    80  ...  3616  3626  4807   \n",
       "3        Polynesia  902  Developing regions     0  ...     0     0     1   \n",
       "4  Southern Europe  901   Developed regions     0  ...     0     0     1   \n",
       "\n",
       "   2007  2008  2009  2010  2011  2012  2013  \n",
       "0  2652  2111  1746  1758  2203  2635  2004  \n",
       "1   702   560   716   561   539   620   603  \n",
       "2  3623  4005  5393  4752  4325  3774  4331  \n",
       "3     0     0     0     0     0     0     0  \n",
       "4     1     0     0     0     0     1     1  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 195 entries, 0 to 194\n",
      "Data columns (total 43 columns):\n",
      " #   Column    Non-Null Count  Dtype \n",
      "---  ------    --------------  ----- \n",
      " 0   Type      195 non-null    object\n",
      " 1   Coverage  195 non-null    object\n",
      " 2   OdName    195 non-null    object\n",
      " 3   AREA      195 non-null    int64 \n",
      " 4   AreaName  195 non-null    object\n",
      " 5   REG       195 non-null    int64 \n",
      " 6   RegName   195 non-null    object\n",
      " 7   DEV       195 non-null    int64 \n",
      " 8   DevName   195 non-null    object\n",
      " 9   1980      195 non-null    int64 \n",
      " 10  1981      195 non-null    int64 \n",
      " 11  1982      195 non-null    int64 \n",
      " 12  1983      195 non-null    int64 \n",
      " 13  1984      195 non-null    int64 \n",
      " 14  1985      195 non-null    int64 \n",
      " 15  1986      195 non-null    int64 \n",
      " 16  1987      195 non-null    int64 \n",
      " 17  1988      195 non-null    int64 \n",
      " 18  1989      195 non-null    int64 \n",
      " 19  1990      195 non-null    int64 \n",
      " 20  1991      195 non-null    int64 \n",
      " 21  1992      195 non-null    int64 \n",
      " 22  1993      195 non-null    int64 \n",
      " 23  1994      195 non-null    int64 \n",
      " 24  1995      195 non-null    int64 \n",
      " 25  1996      195 non-null    int64 \n",
      " 26  1997      195 non-null    int64 \n",
      " 27  1998      195 non-null    int64 \n",
      " 28  1999      195 non-null    int64 \n",
      " 29  2000      195 non-null    int64 \n",
      " 30  2001      195 non-null    int64 \n",
      " 31  2002      195 non-null    int64 \n",
      " 32  2003      195 non-null    int64 \n",
      " 33  2004      195 non-null    int64 \n",
      " 34  2005      195 non-null    int64 \n",
      " 35  2006      195 non-null    int64 \n",
      " 36  2007      195 non-null    int64 \n",
      " 37  2008      195 non-null    int64 \n",
      " 38  2009      195 non-null    int64 \n",
      " 39  2010      195 non-null    int64 \n",
      " 40  2011      195 non-null    int64 \n",
      " 41  2012      195 non-null    int64 \n",
      " 42  2013      195 non-null    int64 \n",
      "dtypes: int64(37), object(6)\n",
      "memory usage: 65.6+ KB\n"
     ]
    }
   ],
   "source": [
    "df_can.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Type', 'Coverage', 'OdName', 'AREA', 'AreaName', 'REG', 'RegName',\n",
       "       'DEV', 'DevName', 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987,\n",
       "       1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998,\n",
       "       1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009,\n",
       "       2010, 2011, 2012, 2013], dtype=object)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(195, 43)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clean the dataset to remove some columns which are not required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_can.drop(['Type','Coverage','REG','AREA','DEV'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rename some columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_can.rename(columns= {\"OdName\":\"Country\", \"AreaName\":\"Continent\", \"RegName\":\"Region\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>Country</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>...</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>...</td>\n",
       "      <td>2978</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1450</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>Africa</td>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>63</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>3616</td>\n",
       "      <td>3626</td>\n",
       "      <td>4807</td>\n",
       "      <td>3623</td>\n",
       "      <td>4005</td>\n",
       "      <td>5393</td>\n",
       "      <td>4752</td>\n",
       "      <td>4325</td>\n",
       "      <td>3774</td>\n",
       "      <td>4331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>American Samoa</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>Polynesia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Country Continent           Region             DevName  1980  1981  \\\n",
       "0     Afghanistan      Asia    Southern Asia  Developing regions    16    39   \n",
       "1         Albania    Europe  Southern Europe   Developed regions     1     0   \n",
       "2         Algeria    Africa  Northern Africa  Developing regions    80    67   \n",
       "3  American Samoa   Oceania        Polynesia  Developing regions     0     1   \n",
       "4         Andorra    Europe  Southern Europe   Developed regions     0     0   \n",
       "\n",
       "   1982  1983  1984  1985  ...  2004  2005  2006  2007  2008  2009  2010  \\\n",
       "0    39    47    71   340  ...  2978  3436  3009  2652  2111  1746  1758   \n",
       "1     0     0     0     0  ...  1450  1223   856   702   560   716   561   \n",
       "2    71    69    63    44  ...  3616  3626  4807  3623  4005  5393  4752   \n",
       "3     0     0     0     0  ...     0     0     1     0     0     0     0   \n",
       "4     0     0     0     0  ...     0     0     1     1     0     0     0   \n",
       "\n",
       "   2011  2012  2013  \n",
       "0  2203  2635  2004  \n",
       "1   539   620   603  \n",
       "2  4325  3774  4331  \n",
       "3     0     0     0  \n",
       "4     0     1     1  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding the Total column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_can[\"Total\"]=df_can.sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country      0\n",
       "Continent    0\n",
       "Region       0\n",
       "DevName      0\n",
       "1980         0\n",
       "1981         0\n",
       "1982         0\n",
       "1983         0\n",
       "1984         0\n",
       "1985         0\n",
       "1986         0\n",
       "1987         0\n",
       "1988         0\n",
       "1989         0\n",
       "1990         0\n",
       "1991         0\n",
       "1992         0\n",
       "1993         0\n",
       "1994         0\n",
       "1995         0\n",
       "1996         0\n",
       "1997         0\n",
       "1998         0\n",
       "1999         0\n",
       "2000         0\n",
       "2001         0\n",
       "2002         0\n",
       "2003         0\n",
       "2004         0\n",
       "2005         0\n",
       "2006         0\n",
       "2007         0\n",
       "2008         0\n",
       "2009         0\n",
       "2010         0\n",
       "2011         0\n",
       "2012         0\n",
       "2013         0\n",
       "Total        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Indexing the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_can.set_index(\"Country\", inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Opposite of the set_index() function is reset_index() function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>1986</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>496</td>\n",
       "      <td>...</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "      <td>58639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "      <td>15699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>63</td>\n",
       "      <td>44</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>3626</td>\n",
       "      <td>4807</td>\n",
       "      <td>3623</td>\n",
       "      <td>4005</td>\n",
       "      <td>5393</td>\n",
       "      <td>4752</td>\n",
       "      <td>4325</td>\n",
       "      <td>3774</td>\n",
       "      <td>4331</td>\n",
       "      <td>69439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>Oceania</td>\n",
       "      <td>Polynesia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Continent           Region             DevName  1980  1981  \\\n",
       "Country                                                                     \n",
       "Afghanistan         Asia    Southern Asia  Developing regions    16    39   \n",
       "Albania           Europe  Southern Europe   Developed regions     1     0   \n",
       "Algeria           Africa  Northern Africa  Developing regions    80    67   \n",
       "American Samoa   Oceania        Polynesia  Developing regions     0     1   \n",
       "Andorra           Europe  Southern Europe   Developed regions     0     0   \n",
       "\n",
       "                1982  1983  1984  1985  1986  ...  2005  2006  2007  2008  \\\n",
       "Country                                       ...                           \n",
       "Afghanistan       39    47    71   340   496  ...  3436  3009  2652  2111   \n",
       "Albania            0     0     0     0     1  ...  1223   856   702   560   \n",
       "Algeria           71    69    63    44    69  ...  3626  4807  3623  4005   \n",
       "American Samoa     0     0     0     0     0  ...     0     1     0     0   \n",
       "Andorra            0     0     0     0     2  ...     0     1     1     0   \n",
       "\n",
       "                2009  2010  2011  2012  2013  Total  \n",
       "Country                                              \n",
       "Afghanistan     1746  1758  2203  2635  2004  58639  \n",
       "Albania          716   561   539   620   603  15699  \n",
       "Algeria         5393  4752  4325  3774  4331  69439  \n",
       "American Samoa     0     0     0     0     0      6  \n",
       "Andorra            0     0     0     1     1     15  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_can.index.name=None"
   ]
  },
  {
   "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>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>1986</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>496</td>\n",
       "      <td>...</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "      <td>58639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "      <td>15699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>63</td>\n",
       "      <td>44</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>3626</td>\n",
       "      <td>4807</td>\n",
       "      <td>3623</td>\n",
       "      <td>4005</td>\n",
       "      <td>5393</td>\n",
       "      <td>4752</td>\n",
       "      <td>4325</td>\n",
       "      <td>3774</td>\n",
       "      <td>4331</td>\n",
       "      <td>69439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>Oceania</td>\n",
       "      <td>Polynesia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Continent           Region             DevName  1980  1981  \\\n",
       "Afghanistan         Asia    Southern Asia  Developing regions    16    39   \n",
       "Albania           Europe  Southern Europe   Developed regions     1     0   \n",
       "Algeria           Africa  Northern Africa  Developing regions    80    67   \n",
       "American Samoa   Oceania        Polynesia  Developing regions     0     1   \n",
       "Andorra           Europe  Southern Europe   Developed regions     0     0   \n",
       "\n",
       "                1982  1983  1984  1985  1986  ...  2005  2006  2007  2008  \\\n",
       "Afghanistan       39    47    71   340   496  ...  3436  3009  2652  2111   \n",
       "Albania            0     0     0     0     1  ...  1223   856   702   560   \n",
       "Algeria           71    69    63    44    69  ...  3626  4807  3623  4005   \n",
       "American Samoa     0     0     0     0     0  ...     0     1     0     0   \n",
       "Andorra            0     0     0     0     2  ...     0     1     1     0   \n",
       "\n",
       "                2009  2010  2011  2012  2013  Total  \n",
       "Afghanistan     1746  1758  2203  2635  2004  58639  \n",
       "Albania          716   561   539   620   603  15699  \n",
       "Algeria         5393  4752  4325  3774  4331  69439  \n",
       "American Samoa     0     0     0     0     0      6  \n",
       "Andorra            0     0     0     1     1     15  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Afghanistan', 'Albania', 'Algeria', 'American Samoa', 'Andorra',\n",
       "       'Angola', 'Antigua and Barbuda', 'Argentina', 'Armenia', 'Australia',\n",
       "       ...\n",
       "       'United States of America', 'Uruguay', 'Uzbekistan', 'Vanuatu',\n",
       "       'Venezuela (Bolivarian Republic of)', 'Viet Nam', 'Western Sahara',\n",
       "       'Yemen', 'Zambia', 'Zimbabwe'],\n",
       "      dtype='object', length=195)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## For consistency, ensure that all column labels of type string."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all(isinstance(column, str) for column in df_can.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Converting Integer Column names into Strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_can.columns= list(map(str, df_can.columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Continent', 'Region', 'DevName', '1980', '1981', '1982', '1983',\n",
       "       '1984', '1985', '1986', '1987', '1988', '1989', '1990', '1991', '1992',\n",
       "       '1993', '1994', '1995', '1996', '1997', '1998', '1999', '2000', '2001',\n",
       "       '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2010',\n",
       "       '2011', '2012', '2013', 'Total'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['1980', '1981', '1982', '1983', '1984', '1985', '1986', '1987', '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013']\n"
     ]
    }
   ],
   "source": [
    "years= list(map(str, range(1980,2014)))\n",
    "print(years)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let's check the column labels types now\n",
    "all(isinstance(column, str) for column in df_can.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization using the area plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>India</th>\n",
       "      <th>China</th>\n",
       "      <th>United Kingdom of Great Britain and Northern Ireland</th>\n",
       "      <th>Philippines</th>\n",
       "      <th>Pakistan</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1980</th>\n",
       "      <td>8880</td>\n",
       "      <td>5123</td>\n",
       "      <td>22045</td>\n",
       "      <td>6051</td>\n",
       "      <td>978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1981</th>\n",
       "      <td>8670</td>\n",
       "      <td>6682</td>\n",
       "      <td>24796</td>\n",
       "      <td>5921</td>\n",
       "      <td>972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1982</th>\n",
       "      <td>8147</td>\n",
       "      <td>3308</td>\n",
       "      <td>20620</td>\n",
       "      <td>5249</td>\n",
       "      <td>1201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1983</th>\n",
       "      <td>7338</td>\n",
       "      <td>1863</td>\n",
       "      <td>10015</td>\n",
       "      <td>4562</td>\n",
       "      <td>900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1984</th>\n",
       "      <td>5704</td>\n",
       "      <td>1527</td>\n",
       "      <td>10170</td>\n",
       "      <td>3801</td>\n",
       "      <td>668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1985</th>\n",
       "      <td>4211</td>\n",
       "      <td>1816</td>\n",
       "      <td>9564</td>\n",
       "      <td>3150</td>\n",
       "      <td>514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986</th>\n",
       "      <td>7150</td>\n",
       "      <td>1960</td>\n",
       "      <td>9470</td>\n",
       "      <td>4166</td>\n",
       "      <td>691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1987</th>\n",
       "      <td>10189</td>\n",
       "      <td>2643</td>\n",
       "      <td>21337</td>\n",
       "      <td>7360</td>\n",
       "      <td>1072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>11522</td>\n",
       "      <td>2758</td>\n",
       "      <td>27359</td>\n",
       "      <td>8639</td>\n",
       "      <td>1334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1989</th>\n",
       "      <td>10343</td>\n",
       "      <td>4323</td>\n",
       "      <td>23795</td>\n",
       "      <td>11865</td>\n",
       "      <td>2261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>12041</td>\n",
       "      <td>8076</td>\n",
       "      <td>31668</td>\n",
       "      <td>12509</td>\n",
       "      <td>2470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991</th>\n",
       "      <td>13734</td>\n",
       "      <td>14255</td>\n",
       "      <td>23380</td>\n",
       "      <td>12718</td>\n",
       "      <td>3079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>13673</td>\n",
       "      <td>10846</td>\n",
       "      <td>34123</td>\n",
       "      <td>13670</td>\n",
       "      <td>4071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>21496</td>\n",
       "      <td>9817</td>\n",
       "      <td>33720</td>\n",
       "      <td>20479</td>\n",
       "      <td>4777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>18620</td>\n",
       "      <td>13128</td>\n",
       "      <td>39231</td>\n",
       "      <td>19532</td>\n",
       "      <td>4666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>18489</td>\n",
       "      <td>14398</td>\n",
       "      <td>30145</td>\n",
       "      <td>15864</td>\n",
       "      <td>4994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>23859</td>\n",
       "      <td>19415</td>\n",
       "      <td>29322</td>\n",
       "      <td>13692</td>\n",
       "      <td>9125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>22268</td>\n",
       "      <td>20475</td>\n",
       "      <td>22965</td>\n",
       "      <td>11549</td>\n",
       "      <td>13073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>17241</td>\n",
       "      <td>21049</td>\n",
       "      <td>10367</td>\n",
       "      <td>8735</td>\n",
       "      <td>9068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>18974</td>\n",
       "      <td>30069</td>\n",
       "      <td>7045</td>\n",
       "      <td>9734</td>\n",
       "      <td>9979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>28572</td>\n",
       "      <td>35529</td>\n",
       "      <td>8840</td>\n",
       "      <td>10763</td>\n",
       "      <td>15400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>31223</td>\n",
       "      <td>36434</td>\n",
       "      <td>11728</td>\n",
       "      <td>13836</td>\n",
       "      <td>16708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>31889</td>\n",
       "      <td>31961</td>\n",
       "      <td>8046</td>\n",
       "      <td>11707</td>\n",
       "      <td>15110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>27155</td>\n",
       "      <td>36439</td>\n",
       "      <td>6797</td>\n",
       "      <td>12758</td>\n",
       "      <td>13205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>28235</td>\n",
       "      <td>36619</td>\n",
       "      <td>7533</td>\n",
       "      <td>14004</td>\n",
       "      <td>13399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>36210</td>\n",
       "      <td>42584</td>\n",
       "      <td>7258</td>\n",
       "      <td>18139</td>\n",
       "      <td>14314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>33848</td>\n",
       "      <td>33518</td>\n",
       "      <td>7140</td>\n",
       "      <td>18400</td>\n",
       "      <td>13127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>28742</td>\n",
       "      <td>27642</td>\n",
       "      <td>8216</td>\n",
       "      <td>19837</td>\n",
       "      <td>10124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>28261</td>\n",
       "      <td>30037</td>\n",
       "      <td>8979</td>\n",
       "      <td>24887</td>\n",
       "      <td>8994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>29456</td>\n",
       "      <td>29622</td>\n",
       "      <td>8876</td>\n",
       "      <td>28573</td>\n",
       "      <td>7217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>34235</td>\n",
       "      <td>30391</td>\n",
       "      <td>8724</td>\n",
       "      <td>38617</td>\n",
       "      <td>6811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>27509</td>\n",
       "      <td>28502</td>\n",
       "      <td>6204</td>\n",
       "      <td>36765</td>\n",
       "      <td>7468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>30933</td>\n",
       "      <td>33024</td>\n",
       "      <td>6195</td>\n",
       "      <td>34315</td>\n",
       "      <td>11227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>33087</td>\n",
       "      <td>34129</td>\n",
       "      <td>5827</td>\n",
       "      <td>29544</td>\n",
       "      <td>12603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      India  China  United Kingdom of Great Britain and Northern Ireland  \\\n",
       "1980   8880   5123                                              22045      \n",
       "1981   8670   6682                                              24796      \n",
       "1982   8147   3308                                              20620      \n",
       "1983   7338   1863                                              10015      \n",
       "1984   5704   1527                                              10170      \n",
       "1985   4211   1816                                               9564      \n",
       "1986   7150   1960                                               9470      \n",
       "1987  10189   2643                                              21337      \n",
       "1988  11522   2758                                              27359      \n",
       "1989  10343   4323                                              23795      \n",
       "1990  12041   8076                                              31668      \n",
       "1991  13734  14255                                              23380      \n",
       "1992  13673  10846                                              34123      \n",
       "1993  21496   9817                                              33720      \n",
       "1994  18620  13128                                              39231      \n",
       "1995  18489  14398                                              30145      \n",
       "1996  23859  19415                                              29322      \n",
       "1997  22268  20475                                              22965      \n",
       "1998  17241  21049                                              10367      \n",
       "1999  18974  30069                                               7045      \n",
       "2000  28572  35529                                               8840      \n",
       "2001  31223  36434                                              11728      \n",
       "2002  31889  31961                                               8046      \n",
       "2003  27155  36439                                               6797      \n",
       "2004  28235  36619                                               7533      \n",
       "2005  36210  42584                                               7258      \n",
       "2006  33848  33518                                               7140      \n",
       "2007  28742  27642                                               8216      \n",
       "2008  28261  30037                                               8979      \n",
       "2009  29456  29622                                               8876      \n",
       "2010  34235  30391                                               8724      \n",
       "2011  27509  28502                                               6204      \n",
       "2012  30933  33024                                               6195      \n",
       "2013  33087  34129                                               5827      \n",
       "\n",
       "      Philippines  Pakistan  \n",
       "1980         6051       978  \n",
       "1981         5921       972  \n",
       "1982         5249      1201  \n",
       "1983         4562       900  \n",
       "1984         3801       668  \n",
       "1985         3150       514  \n",
       "1986         4166       691  \n",
       "1987         7360      1072  \n",
       "1988         8639      1334  \n",
       "1989        11865      2261  \n",
       "1990        12509      2470  \n",
       "1991        12718      3079  \n",
       "1992        13670      4071  \n",
       "1993        20479      4777  \n",
       "1994        19532      4666  \n",
       "1995        15864      4994  \n",
       "1996        13692      9125  \n",
       "1997        11549     13073  \n",
       "1998         8735      9068  \n",
       "1999         9734      9979  \n",
       "2000        10763     15400  \n",
       "2001        13836     16708  \n",
       "2002        11707     15110  \n",
       "2003        12758     13205  \n",
       "2004        14004     13399  \n",
       "2005        18139     14314  \n",
       "2006        18400     13127  \n",
       "2007        19837     10124  \n",
       "2008        24887      8994  \n",
       "2009        28573      7217  \n",
       "2010        38617      6811  \n",
       "2011        36765      7468  \n",
       "2012        34315     11227  \n",
       "2013        29544     12603  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Sorting the dataframe accordingly\n",
    "df_can.sort_values(['Total'], ascending= False, axis=0, inplace= True)\n",
    "\n",
    "df_top5=df_can.head()\n",
    "\n",
    "df_top5=df_top5[years].transpose()\n",
    "\n",
    "df_top5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting the graph\n",
    "\n",
    "df_top5.index= df_top5.index.map(int)\n",
    "\n",
    "df_top5.plot(kind='area', figsize=(12,8))\n",
    "\n",
    "plt.title(\"Immigration Trend of Top 5 countries\")\n",
    "plt.ylabel(\"Number of Immigrants\")\n",
    "plt.xlabel(\"Years\")\n",
    "\n",
    "plt.savefig(\"Stacked_Immigration_Trend_of_Top_5_countries.png\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting the unstacked area graph \n",
    "df_top5.plot(kind='area', stacked=False, figsize=(12,8))\n",
    "\n",
    "plt.title(\"Immigration Trend of Top 5 countries\")\n",
    "plt.ylabel(\"Number of Immigrants\")\n",
    "plt.xlabel(\"Years\")\n",
    "\n",
    "plt.savefig(\"Unstacked_Immigration_Trend_of_Top_5_countries.png\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#unstacked plot has a default transparency(alpha value) at 0.5\n",
    "#lets set it to 0.25\n",
    "df_top5.plot(kind='area', alpha=0.25, stacked =False, figsize=(12,8))\n",
    "\n",
    "plt.title(\"Immigration Trend of Top 5 countries\")\n",
    "plt.ylabel(\"Number of Immigrants\")\n",
    "plt.xlabel(\"Years\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above plot was using the scripting layer. Now, we will produce the same plot using the Artist layer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Years')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax= df_top5.plot(kind='area', alpha=0.5, stacked=False, figsize=(12,8))\n",
    "\n",
    "ax.set_title(\"Immigration Trend of Top 5 countries\")\n",
    "ax.set_ylabel(\"Number of Immigrants\")\n",
    "ax.set_xlabel(\"Years\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}