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abhiray92/DV0101EN-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb

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DV0101EN-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"button": false,
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"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<a href=\"https://cognitiveclass.ai\"><img src = \"https://ibm.box.com/shared/static/9gegpsmnsoo25ikkbl4qzlvlyjbgxs5x.png\" width = 400> </a>\n",
"\n",
"<h1 align=center><font size = 5>Area Plots, Histograms, and Bar Plots</font></h1>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
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}
},
"source": [
"## Introduction\n",
"\n",
"In this lab, we will continue exploring the Matplotlib library and will learn how to create additional plots, namely area plots, histograms, and bar charts."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## Table of Contents\n",
"\n",
"<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n",
"\n",
"1. [Exploring Datasets with *pandas*](#0)<br>\n",
"2. [Downloading and Prepping Data](#2)<br>\n",
"3. [Visualizing Data using Matplotlib](#4) <br>\n",
"4. [Area Plots](#6) <br>\n",
"5. [Histograms](#8) <br>\n",
"6. [Bar Charts](#10) <br>\n",
"</div>\n",
"<hr>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Exploring Datasets with *pandas* and Matplotlib<a id=\"0\"></a>\n",
"\n",
"Toolkits: The course heavily relies on [*pandas*](http://pandas.pydata.org/) and [**Numpy**](http://www.numpy.org/) for data wrangling, analysis, and visualization. The primary plotting library that we are exploring in the course is [Matplotlib](http://matplotlib.org/).\n",
"\n",
"Dataset: Immigration to Canada from 1980 to 2013 - [International migration flows to and from selected countries - The 2015 revision](http://www.un.org/en/development/desa/population/migration/data/empirical2/migrationflows.shtml) from United Nation's website.\n",
"\n",
"The dataset contains annual data on the flows of international migrants as recorded by the countries of destination. The data presents both inflows and outflows according to the place of birth, citizenship or place of previous / next residence both for foreigners and nationals. For this lesson, we will focus on the Canadian Immigration data."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Downloading and Prepping Data <a id=\"2\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Import Primary Modules. The first thing we'll do is import two key data analysis modules: *pandas* and **Numpy**."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
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"new_sheet": false,
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},
"outputs": [],
"source": [
"import numpy as np # useful for many scientific computing in Python\n",
"import pandas as pd # primary data structure library"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's download and import our primary Canadian Immigration dataset using *pandas* `read_excel()` method. Normally, before we can do that, we would need to download a module which *pandas* requires to read in excel files. This module is **xlrd**. For your convenience, we have pre-installed this module, so you would not have to worry about that. Otherwise, you would need to run the following line of code to install the **xlrd** module:\n",
"```\n",
"!conda install -c anaconda xlrd --yes\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Download the dataset and read it into a *pandas* dataframe."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data downloaded and read into a dataframe!\n"
]
}
],
"source": [
"df_can = pd.read_excel('https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DV0101EN/labs/Data_Files/Canada.xlsx',\n",
" sheet_name='Canada by Citizenship',\n",
" skiprows=range(20),\n",
" skipfooter=2\n",
" )\n",
"\n",
"print('Data downloaded and read into a dataframe!')"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's take a look at the first five items in our dataset."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"button": false,
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{
"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": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's find out how many entries there are in our dataset."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(195, 38)\n"
]
}
],
"source": [
"# print the dimensions of the dataframe\n",
"print(df_can.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Clean up data. We will make some modifications to the original dataset to make it easier to create our visualizations. Refer to `Introduction to Matplotlib and Line Plots` lab for the rational and detailed description of the changes."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### 1. Clean up the dataset to remove columns that are not informative to us for visualization (eg. Type, AREA, REG)."
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"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>OdName</th>\n",
" <th>AreaName</th>\n",
" <th>RegName</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>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>79</th>\n",
" <td>India</td>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>8880</td>\n",
" <td>8670</td>\n",
" <td>8147</td>\n",
" <td>7338</td>\n",
" <td>5704</td>\n",
" <td>4211</td>\n",
" <td>...</td>\n",
" <td>36210</td>\n",
" <td>33848</td>\n",
" <td>28742</td>\n",
" <td>28261</td>\n",
" <td>29456</td>\n",
" <td>34235</td>\n",
" <td>27509</td>\n",
" <td>30933</td>\n",
" <td>33087</td>\n",
" <td>2097726</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>China</td>\n",
" <td>Asia</td>\n",
" <td>Eastern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>5123</td>\n",
" <td>6682</td>\n",
" <td>3308</td>\n",
" <td>1863</td>\n",
" <td>1527</td>\n",
" <td>1816</td>\n",
" <td>...</td>\n",
" <td>42584</td>\n",
" <td>33518</td>\n",
" <td>27642</td>\n",
" <td>30037</td>\n",
" <td>29622</td>\n",
" <td>30391</td>\n",
" <td>28502</td>\n",
" <td>33024</td>\n",
" <td>34129</td>\n",
" <td>1988115</td>\n",
" </tr>\n",
" <tr>\n",
" <th>183</th>\n",
" <td>United Kingdom of Great Britain and Northern I...</td>\n",
" <td>Europe</td>\n",
" <td>Northern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>22045</td>\n",
" <td>24796</td>\n",
" <td>20620</td>\n",
" <td>10015</td>\n",
" <td>10170</td>\n",
" <td>9564</td>\n",
" <td>...</td>\n",
" <td>7258</td>\n",
" <td>7140</td>\n",
" <td>8216</td>\n",
" <td>8979</td>\n",
" <td>8876</td>\n",
" <td>8724</td>\n",
" <td>6204</td>\n",
" <td>6195</td>\n",
" <td>5827</td>\n",
" <td>1662699</td>\n",
" </tr>\n",
" <tr>\n",
" <th>136</th>\n",
" <td>Philippines</td>\n",
" <td>Asia</td>\n",
" <td>South-Eastern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>6051</td>\n",
" <td>5921</td>\n",
" <td>5249</td>\n",
" <td>4562</td>\n",
" <td>3801</td>\n",
" <td>3150</td>\n",
" <td>...</td>\n",
" <td>18139</td>\n",
" <td>18400</td>\n",
" <td>19837</td>\n",
" <td>24887</td>\n",
" <td>28573</td>\n",
" <td>38617</td>\n",
" <td>36765</td>\n",
" <td>34315</td>\n",
" <td>29544</td>\n",
" <td>1542444</td>\n",
" </tr>\n",
" <tr>\n",
" <th>130</th>\n",
" <td>Pakistan</td>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>978</td>\n",
" <td>972</td>\n",
" <td>1201</td>\n",
" <td>900</td>\n",
" <td>668</td>\n",
" <td>514</td>\n",
" <td>...</td>\n",
" <td>14314</td>\n",
" <td>13127</td>\n",
" <td>10124</td>\n",
" <td>8994</td>\n",
" <td>7217</td>\n",
" <td>6811</td>\n",
" <td>7468</td>\n",
" <td>11227</td>\n",
" <td>12603</td>\n",
" <td>746814</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 39 columns</p>\n",
"</div>"
],
"text/plain": [
" OdName AreaName \\\n",
"79 India Asia \n",
"36 China Asia \n",
"183 United Kingdom of Great Britain and Northern I... Europe \n",
"136 Philippines Asia \n",
"130 Pakistan Asia \n",
"\n",
" RegName DevName 1980 1981 1982 1983 \\\n",
"79 Southern Asia Developing regions 8880 8670 8147 7338 \n",
"36 Eastern Asia Developing regions 5123 6682 3308 1863 \n",
"183 Northern Europe Developed regions 22045 24796 20620 10015 \n",
"136 South-Eastern Asia Developing regions 6051 5921 5249 4562 \n",
"130 Southern Asia Developing regions 978 972 1201 900 \n",
"\n",
" 1984 1985 ... 2005 2006 2007 2008 2009 2010 2011 2012 \\\n",
"79 5704 4211 ... 36210 33848 28742 28261 29456 34235 27509 30933 \n",
"36 1527 1816 ... 42584 33518 27642 30037 29622 30391 28502 33024 \n",
"183 10170 9564 ... 7258 7140 8216 8979 8876 8724 6204 6195 \n",
"136 3801 3150 ... 18139 18400 19837 24887 28573 38617 36765 34315 \n",
"130 668 514 ... 14314 13127 10124 8994 7217 6811 7468 11227 \n",
"\n",
" 2013 Total \n",
"79 33087 2097726 \n",
"36 34129 1988115 \n",
"183 5827 1662699 \n",
"136 29544 1542444 \n",
"130 12603 746814 \n",
"\n",
"[5 rows x 39 columns]"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.drop(['AREA', 'REG', 'DEV', 'Type', 'Coverage'], axis=1, inplace=True)\n",
"\n",
"# let's view the first five elements and see how the dataframe was changed\n",
"df_can.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Notice how the columns Type, Coverage, AREA, REG, and DEV got removed from the dataframe."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### 2. Rename some of the columns so that they make sense."
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" }\n",
"\n",
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" 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>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>79</th>\n",
" <td>India</td>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>8880</td>\n",
" <td>8670</td>\n",
" <td>8147</td>\n",
" <td>7338</td>\n",
" <td>5704</td>\n",
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" <td>30933</td>\n",
" <td>33087</td>\n",
" <td>2097726</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>China</td>\n",
" <td>Asia</td>\n",
" <td>Eastern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>5123</td>\n",
" <td>6682</td>\n",
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" <td>1816</td>\n",
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" <td>33518</td>\n",
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" <td>30037</td>\n",
" <td>29622</td>\n",
" <td>30391</td>\n",
" <td>28502</td>\n",
" <td>33024</td>\n",
" <td>34129</td>\n",
" <td>1988115</td>\n",
" </tr>\n",
" <tr>\n",
" <th>183</th>\n",
" <td>United Kingdom of Great Britain and Northern I...</td>\n",
" <td>Europe</td>\n",
" <td>Northern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>22045</td>\n",
" <td>24796</td>\n",
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" <td>10015</td>\n",
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" <td>6204</td>\n",
" <td>6195</td>\n",
" <td>5827</td>\n",
" <td>1662699</td>\n",
" </tr>\n",
" <tr>\n",
" <th>136</th>\n",
" <td>Philippines</td>\n",
" <td>Asia</td>\n",
" <td>South-Eastern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>6051</td>\n",
" <td>5921</td>\n",
" <td>5249</td>\n",
" <td>4562</td>\n",
" <td>3801</td>\n",
" <td>3150</td>\n",
" <td>...</td>\n",
" <td>18139</td>\n",
" <td>18400</td>\n",
" <td>19837</td>\n",
" <td>24887</td>\n",
" <td>28573</td>\n",
" <td>38617</td>\n",
" <td>36765</td>\n",
" <td>34315</td>\n",
" <td>29544</td>\n",
" <td>1542444</td>\n",
" </tr>\n",
" <tr>\n",
" <th>130</th>\n",
" <td>Pakistan</td>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>978</td>\n",
" <td>972</td>\n",
" <td>1201</td>\n",
" <td>900</td>\n",
" <td>668</td>\n",
" <td>514</td>\n",
" <td>...</td>\n",
" <td>14314</td>\n",
" <td>13127</td>\n",
" <td>10124</td>\n",
" <td>8994</td>\n",
" <td>7217</td>\n",
" <td>6811</td>\n",
" <td>7468</td>\n",
" <td>11227</td>\n",
" <td>12603</td>\n",
" <td>746814</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 39 columns</p>\n",
"</div>"
],
"text/plain": [
" Country Continent \\\n",
"79 India Asia \n",
"36 China Asia \n",
"183 United Kingdom of Great Britain and Northern I... Europe \n",
"136 Philippines Asia \n",
"130 Pakistan Asia \n",
"\n",
" Region DevName 1980 1981 1982 1983 \\\n",
"79 Southern Asia Developing regions 8880 8670 8147 7338 \n",
"36 Eastern Asia Developing regions 5123 6682 3308 1863 \n",
"183 Northern Europe Developed regions 22045 24796 20620 10015 \n",
"136 South-Eastern Asia Developing regions 6051 5921 5249 4562 \n",
"130 Southern Asia Developing regions 978 972 1201 900 \n",
"\n",
" 1984 1985 ... 2005 2006 2007 2008 2009 2010 2011 2012 \\\n",
"79 5704 4211 ... 36210 33848 28742 28261 29456 34235 27509 30933 \n",
"36 1527 1816 ... 42584 33518 27642 30037 29622 30391 28502 33024 \n",
"183 10170 9564 ... 7258 7140 8216 8979 8876 8724 6204 6195 \n",
"136 3801 3150 ... 18139 18400 19837 24887 28573 38617 36765 34315 \n",
"130 668 514 ... 14314 13127 10124 8994 7217 6811 7468 11227 \n",
"\n",
" 2013 Total \n",
"79 33087 2097726 \n",
"36 34129 1988115 \n",
"183 5827 1662699 \n",
"136 29544 1542444 \n",
"130 12603 746814 \n",
"\n",
"[5 rows x 39 columns]"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.rename(columns={'OdName':'Country', 'AreaName':'Continent','RegName':'Region'}, inplace=True)\n",
"\n",
"# let's view the first five elements and see how the dataframe was changed\n",
"df_can.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Notice how the column names now make much more sense, even to an outsider."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### 3. For consistency, ensure that all column labels of type string."
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# let's examine the types of the column labels\n",
"all(isinstance(column, str) for column in df_can.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Notice how the above line of code returned *False* when we tested if all the column labels are of type **string**. So let's change them all to **string** type."
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.columns = list(map(str, df_can.columns))\n",
"\n",
"# let's check the column labels types now\n",
"all(isinstance(column, str) for column in df_can.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### 4. Set the country name as index - useful for quickly looking up countries using .loc method."
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
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"<div>\n",
"<style scoped>\n",
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" vertical-align: middle;\n",
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" 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",
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" <th>2006</th>\n",
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" <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",
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" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
" </tr>\n",
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" <tbody>\n",
" <tr>\n",
" <th>India</th>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>8880</td>\n",
" <td>8670</td>\n",
" <td>8147</td>\n",
" <td>7338</td>\n",
" <td>5704</td>\n",
" <td>4211</td>\n",
" <td>7150</td>\n",
" <td>...</td>\n",
" <td>36210</td>\n",
" <td>33848</td>\n",
" <td>28742</td>\n",
" <td>28261</td>\n",
" <td>29456</td>\n",
" <td>34235</td>\n",
" <td>27509</td>\n",
" <td>30933</td>\n",
" <td>33087</td>\n",
" <td>2097726</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Asia</td>\n",
" <td>Eastern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>5123</td>\n",
" <td>6682</td>\n",
" <td>3308</td>\n",
" <td>1863</td>\n",
" <td>1527</td>\n",
" <td>1816</td>\n",
" <td>1960</td>\n",
" <td>...</td>\n",
" <td>42584</td>\n",
" <td>33518</td>\n",
" <td>27642</td>\n",
" <td>30037</td>\n",
" <td>29622</td>\n",
" <td>30391</td>\n",
" <td>28502</td>\n",
" <td>33024</td>\n",
" <td>34129</td>\n",
" <td>1988115</td>\n",
" </tr>\n",
" <tr>\n",
" <th>United Kingdom of Great Britain and Northern Ireland</th>\n",
" <td>Europe</td>\n",
" <td>Northern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>22045</td>\n",
" <td>24796</td>\n",
" <td>20620</td>\n",
" <td>10015</td>\n",
" <td>10170</td>\n",
" <td>9564</td>\n",
" <td>9470</td>\n",
" <td>...</td>\n",
" <td>7258</td>\n",
" <td>7140</td>\n",
" <td>8216</td>\n",
" <td>8979</td>\n",
" <td>8876</td>\n",
" <td>8724</td>\n",
" <td>6204</td>\n",
" <td>6195</td>\n",
" <td>5827</td>\n",
" <td>1662699</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Philippines</th>\n",
" <td>Asia</td>\n",
" <td>South-Eastern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>6051</td>\n",
" <td>5921</td>\n",
" <td>5249</td>\n",
" <td>4562</td>\n",
" <td>3801</td>\n",
" <td>3150</td>\n",
" <td>4166</td>\n",
" <td>...</td>\n",
" <td>18139</td>\n",
" <td>18400</td>\n",
" <td>19837</td>\n",
" <td>24887</td>\n",
" <td>28573</td>\n",
" <td>38617</td>\n",
" <td>36765</td>\n",
" <td>34315</td>\n",
" <td>29544</td>\n",
" <td>1542444</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Pakistan</th>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>978</td>\n",
" <td>972</td>\n",
" <td>1201</td>\n",
" <td>900</td>\n",
" <td>668</td>\n",
" <td>514</td>\n",
" <td>691</td>\n",
" <td>...</td>\n",
" <td>14314</td>\n",
" <td>13127</td>\n",
" <td>10124</td>\n",
" <td>8994</td>\n",
" <td>7217</td>\n",
" <td>6811</td>\n",
" <td>7468</td>\n",
" <td>11227</td>\n",
" <td>12603</td>\n",
" <td>746814</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 38 columns</p>\n",
"</div>"
],
"text/plain": [
" Continent \\\n",
"Country \n",
"India Asia \n",
"China Asia \n",
"United Kingdom of Great Britain and Northern Ir... Europe \n",
"Philippines Asia \n",
"Pakistan Asia \n",
"\n",
" Region \\\n",
"Country \n",
"India Southern Asia \n",
"China Eastern Asia \n",
"United Kingdom of Great Britain and Northern Ir... Northern Europe \n",
"Philippines South-Eastern Asia \n",
"Pakistan Southern Asia \n",
"\n",
" DevName 1980 \\\n",
"Country \n",
"India Developing regions 8880 \n",
"China Developing regions 5123 \n",
"United Kingdom of Great Britain and Northern Ir... Developed regions 22045 \n",
"Philippines Developing regions 6051 \n",
"Pakistan Developing regions 978 \n",
"\n",
" 1981 1982 1983 \\\n",
"Country \n",
"India 8670 8147 7338 \n",
"China 6682 3308 1863 \n",
"United Kingdom of Great Britain and Northern Ir... 24796 20620 10015 \n",
"Philippines 5921 5249 4562 \n",
"Pakistan 972 1201 900 \n",
"\n",
" 1984 1985 1986 ... \\\n",
"Country ... \n",
"India 5704 4211 7150 ... \n",
"China 1527 1816 1960 ... \n",
"United Kingdom of Great Britain and Northern Ir... 10170 9564 9470 ... \n",
"Philippines 3801 3150 4166 ... \n",
"Pakistan 668 514 691 ... \n",
"\n",
" 2005 2006 2007 \\\n",
"Country \n",
"India 36210 33848 28742 \n",
"China 42584 33518 27642 \n",
"United Kingdom of Great Britain and Northern Ir... 7258 7140 8216 \n",
"Philippines 18139 18400 19837 \n",
"Pakistan 14314 13127 10124 \n",
"\n",
" 2008 2009 2010 \\\n",
"Country \n",
"India 28261 29456 34235 \n",
"China 30037 29622 30391 \n",
"United Kingdom of Great Britain and Northern Ir... 8979 8876 8724 \n",
"Philippines 24887 28573 38617 \n",
"Pakistan 8994 7217 6811 \n",
"\n",
" 2011 2012 2013 \\\n",
"Country \n",
"India 27509 30933 33087 \n",
"China 28502 33024 34129 \n",
"United Kingdom of Great Britain and Northern Ir... 6204 6195 5827 \n",
"Philippines 36765 34315 29544 \n",
"Pakistan 7468 11227 12603 \n",
"\n",
" Total \n",
"Country \n",
"India 2097726 \n",
"China 1988115 \n",
"United Kingdom of Great Britain and Northern Ir... 1662699 \n",
"Philippines 1542444 \n",
"Pakistan 746814 \n",
"\n",
"[5 rows x 38 columns]"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.set_index('Country', inplace=True)\n",
"\n",
"# let's view the first five elements and see how the dataframe was changed\n",
"df_can.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Notice how the country names now serve as indices."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### 5. Add total column."
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
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" vertical-align: middle;\n",
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" 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",
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" <th></th>\n",
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" <tbody>\n",
" <tr>\n",
" <th>India</th>\n",
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" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>8880</td>\n",
" <td>8670</td>\n",
" <td>8147</td>\n",
" <td>7338</td>\n",
" <td>5704</td>\n",
" <td>4211</td>\n",
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" <td>28261</td>\n",
" <td>29456</td>\n",
" <td>34235</td>\n",
" <td>27509</td>\n",
" <td>30933</td>\n",
" <td>33087</td>\n",
" <td>2789630</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Asia</td>\n",
" <td>Eastern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>5123</td>\n",
" <td>6682</td>\n",
" <td>3308</td>\n",
" <td>1863</td>\n",
" <td>1527</td>\n",
" <td>1816</td>\n",
" <td>1960</td>\n",
" <td>...</td>\n",
" <td>42584</td>\n",
" <td>33518</td>\n",
" <td>27642</td>\n",
" <td>30037</td>\n",
" <td>29622</td>\n",
" <td>30391</td>\n",
" <td>28502</td>\n",
" <td>33024</td>\n",
" <td>34129</td>\n",
" <td>2648077</td>\n",
" </tr>\n",
" <tr>\n",
" <th>United Kingdom of Great Britain and Northern Ireland</th>\n",
" <td>Europe</td>\n",
" <td>Northern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>22045</td>\n",
" <td>24796</td>\n",
" <td>20620</td>\n",
" <td>10015</td>\n",
" <td>10170</td>\n",
" <td>9564</td>\n",
" <td>9470</td>\n",
" <td>...</td>\n",
" <td>7258</td>\n",
" <td>7140</td>\n",
" <td>8216</td>\n",
" <td>8979</td>\n",
" <td>8876</td>\n",
" <td>8724</td>\n",
" <td>6204</td>\n",
" <td>6195</td>\n",
" <td>5827</td>\n",
" <td>2214199</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Philippines</th>\n",
" <td>Asia</td>\n",
" <td>South-Eastern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>6051</td>\n",
" <td>5921</td>\n",
" <td>5249</td>\n",
" <td>4562</td>\n",
" <td>3801</td>\n",
" <td>3150</td>\n",
" <td>4166</td>\n",
" <td>...</td>\n",
" <td>18139</td>\n",
" <td>18400</td>\n",
" <td>19837</td>\n",
" <td>24887</td>\n",
" <td>28573</td>\n",
" <td>38617</td>\n",
" <td>36765</td>\n",
" <td>34315</td>\n",
" <td>29544</td>\n",
" <td>2053835</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Pakistan</th>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>978</td>\n",
" <td>972</td>\n",
" <td>1201</td>\n",
" <td>900</td>\n",
" <td>668</td>\n",
" <td>514</td>\n",
" <td>691</td>\n",
" <td>...</td>\n",
" <td>14314</td>\n",
" <td>13127</td>\n",
" <td>10124</td>\n",
" <td>8994</td>\n",
" <td>7217</td>\n",
" <td>6811</td>\n",
" <td>7468</td>\n",
" <td>11227</td>\n",
" <td>12603</td>\n",
" <td>988414</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 38 columns</p>\n",
"</div>"
],
"text/plain": [
" Continent \\\n",
"Country \n",
"India Asia \n",
"China Asia \n",
"United Kingdom of Great Britain and Northern Ir... Europe \n",
"Philippines Asia \n",
"Pakistan Asia \n",
"\n",
" Region \\\n",
"Country \n",
"India Southern Asia \n",
"China Eastern Asia \n",
"United Kingdom of Great Britain and Northern Ir... Northern Europe \n",
"Philippines South-Eastern Asia \n",
"Pakistan Southern Asia \n",
"\n",
" DevName 1980 \\\n",
"Country \n",
"India Developing regions 8880 \n",
"China Developing regions 5123 \n",
"United Kingdom of Great Britain and Northern Ir... Developed regions 22045 \n",
"Philippines Developing regions 6051 \n",
"Pakistan Developing regions 978 \n",
"\n",
" 1981 1982 1983 \\\n",
"Country \n",
"India 8670 8147 7338 \n",
"China 6682 3308 1863 \n",
"United Kingdom of Great Britain and Northern Ir... 24796 20620 10015 \n",
"Philippines 5921 5249 4562 \n",
"Pakistan 972 1201 900 \n",
"\n",
" 1984 1985 1986 ... \\\n",
"Country ... \n",
"India 5704 4211 7150 ... \n",
"China 1527 1816 1960 ... \n",
"United Kingdom of Great Britain and Northern Ir... 10170 9564 9470 ... \n",
"Philippines 3801 3150 4166 ... \n",
"Pakistan 668 514 691 ... \n",
"\n",
" 2005 2006 2007 \\\n",
"Country \n",
"India 36210 33848 28742 \n",
"China 42584 33518 27642 \n",
"United Kingdom of Great Britain and Northern Ir... 7258 7140 8216 \n",
"Philippines 18139 18400 19837 \n",
"Pakistan 14314 13127 10124 \n",
"\n",
" 2008 2009 2010 \\\n",
"Country \n",
"India 28261 29456 34235 \n",
"China 30037 29622 30391 \n",
"United Kingdom of Great Britain and Northern Ir... 8979 8876 8724 \n",
"Philippines 24887 28573 38617 \n",
"Pakistan 8994 7217 6811 \n",
"\n",
" 2011 2012 2013 \\\n",
"Country \n",
"India 27509 30933 33087 \n",
"China 28502 33024 34129 \n",
"United Kingdom of Great Britain and Northern Ir... 6204 6195 5827 \n",
"Philippines 36765 34315 29544 \n",
"Pakistan 7468 11227 12603 \n",
"\n",
" Total \n",
"Country \n",
"India 2789630 \n",
"China 2648077 \n",
"United Kingdom of Great Britain and Northern Ir... 2214199 \n",
"Philippines 2053835 \n",
"Pakistan 988414 \n",
"\n",
"[5 rows x 38 columns]"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can['Total'] = df_can.sum(axis=1)\n",
"\n",
"# let's view the first five elements and see how the dataframe was changed\n",
"df_can.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Now the dataframe has an extra column that presents the total number of immigrants from each country in the dataset from 1980 - 2013. So if we print the dimension of the data, we get:"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"data dimensions: (195, 44)\n"
]
}
],
"source": [
"print ('data dimensions:', df_can.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"So now our dataframe has 38 columns instead of 37 columns that we had before."
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"['1980',\n",
" '1981',\n",
" '1982',\n",
" '1983',\n",
" '1984',\n",
" '1985',\n",
" '1986',\n",
" '1987',\n",
" '1988',\n",
" '1989',\n",
" '1990',\n",
" '1991',\n",
" '1992',\n",
" '1993',\n",
" '1994',\n",
" '1995',\n",
" '1996',\n",
" '1997',\n",
" '1998',\n",
" '1999',\n",
" '2000',\n",
" '2001',\n",
" '2002',\n",
" '2003',\n",
" '2004',\n",
" '2005',\n",
" '2006',\n",
" '2007',\n",
" '2008',\n",
" '2009',\n",
" '2010',\n",
" '2011',\n",
" '2012',\n",
" '2013']"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# finally, let's create a list of years from 1980 - 2013\n",
"# this will come in handy when we start plotting the data\n",
"years = list(map(str, range(1980, 2014)))\n",
"\n",
"years"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Visualizing Data using Matplotlib<a id=\"4\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Import `Matplotlib` and **Numpy**."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Matplotlib version: 3.0.3\n"
]
}
],
"source": [
"# use the inline backend to generate the plots within the browser\n",
"%matplotlib inline \n",
"\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"\n",
"mpl.style.use('ggplot') # optional: for ggplot-like style\n",
"\n",
"# check for latest version of Matplotlib\n",
"print ('Matplotlib version: ', mpl.__version__) # >= 2.0.0"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Area Plots<a id=\"6\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"In the last module, we created a line plot that visualized the top 5 countries that contribued the most immigrants to Canada from 1980 to 2013. With a little modification to the code, we can visualize this plot as a cumulative plot, also knows as a **Stacked Line Plot** or **Area plot**."
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"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>Country</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",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Country 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",
"\n",
"Country Philippines Pakistan \n",
"1980 6051 978 \n",
"1981 5921 972 \n",
"1982 5249 1201 \n",
"1983 4562 900 \n",
"1984 3801 668 "
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.sort_values(['Total'], ascending=False, axis=0, inplace=True)\n",
"\n",
"# get the top 5 entries\n",
"df_top5 = df_can.head()\n",
"\n",
"# transpose the dataframe\n",
"df_top5 = df_top5[years].transpose() \n",
"\n",
"df_top5.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Area plots are stacked by default. And to produce a stacked area plot, each column must be either all positive or all negative values (any NaN values will defaulted to 0). To produce an unstacked plot, pass `stacked=False`. "
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_top5.index = df_top5.index.map(int) # let's change the index values of df_top5 to type integer for plotting\n",
"df_top5.plot(kind='area', \n",
" stacked=False,\n",
" figsize=(20, 10), # pass a tuple (x, y) size\n",
" )\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": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"The unstacked plot has a default transparency (alpha value) at 0.5. We can modify this value by passing in the `alpha` parameter."
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_top5.plot(kind='area', \n",
" alpha=0.25, # 0-1, default value a= 0.5\n",
" stacked=False,\n",
" figsize=(20, 10),\n",
" )\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": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Two types of plotting\n",
"\n",
"As we discussed in the video lectures, there are two styles/options of ploting with `matplotlib`. Plotting using the Artist layer and plotting using the scripting layer.\n",
"\n",
"**Option 1: Scripting layer (procedural method) - using matplotlib.pyplot as 'plt' **\n",
"\n",
"You can use `plt` i.e. `matplotlib.pyplot` and add more elements by calling different methods procedurally; for example, `plt.title(...)` to add title or `plt.xlabel(...)` to add label to the x-axis.\n",
"```python\n",
" # Option 1: This is what we have been using so far\n",
" df_top5.plot(kind='area', alpha=0.35, figsize=(20, 10)) \n",
" plt.title('Immigration trend of top 5 countries')\n",
" plt.ylabel('Number of immigrants')\n",
" plt.xlabel('Years')\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Option 2: Artist layer (Object oriented method) - using an `Axes` instance from Matplotlib (preferred) **\n",
"\n",
"You can use an `Axes` instance of your current plot and store it in a variable (eg. `ax`). You can add more elements by calling methods with a little change in syntax (by adding \"*set_*\" to the previous methods). For example, use `ax.set_title()` instead of `plt.title()` to add title, or `ax.set_xlabel()` instead of `plt.xlabel()` to add label to the x-axis. \n",
"\n",
"This option sometimes is more transparent and flexible to use for advanced plots (in particular when having multiple plots, as you will see later). \n",
"\n",
"In this course, we will stick to the **scripting layer**, except for some advanced visualizations where we will need to use the **artist layer** to manipulate advanced aspects of the plots."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Years')"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# option 2: preferred option with more flexibility\n",
"ax = df_top5.plot(kind='area', alpha=0.35, stacked=False, figsize=(20, 10))\n",
"\n",
"ax.set_title('Immigration Trend of Top 5 Countries')\n",
"ax.set_ylabel('Number of Immigrants')\n",
"ax.set_xlabel('Years')"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Question**: Use the scripting layer to create a stacked area plot of the 5 countries that contributed the least to immigration to Canada **from** 1980 to 2013. Use a transparency value of 0.45."
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"### type your answer here\n",
"df_can.sort_values(['Total'], ascending=False, axis=0, inplace=True)\n",
"df_low5 = df_can.tail()\n",
"df_low5=df_low5[years].transpose()\n",
"\n",
"\n",
"#######Plotting\n",
"\n",
"df_low5.plot(kind='area', stacked=True, alpha=0.45, figsize=(20,10))\n",
"plt.xlabel(\"Years\")\n",
"plt.ylabel(\"Number of immigrants\")\n",
"plt.show()\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Double-click __here__ for the solution.\n",
"<!-- The correct answer is:\n",
"\\\\ # get the 5 countries with the least contribution\n",
"df_least5 = df_can.tail(5)\n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # transpose the dataframe\n",
"df_least5 = df_least5[years].transpose() \n",
"df_least5.head()\n",
"-->\n",
"\n",
"<!--\n",
"df_least5.index = df_least5.index.map(int) # let's change the index values of df_least5 to type integer for plotting\n",
"df_least5.plot(kind='area', alpha=0.45, figsize=(20, 10)) \n",
"-->\n",
"\n",
"<!--\n",
"plt.title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n",
"plt.ylabel('Number of Immigrants')\n",
"plt.xlabel('Years')\n",
"-->\n",
"\n",
"<!--\n",
"plt.show()\n",
"-->"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Question**: Use the artist layer to create an unstacked area plot of the 5 countries that contributed the least to immigration to Canada **from** 1980 to 2013. Use a transparency value of 0.55."
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"### type your answer here\n",
"df_low5.plot(kind='area', stacked=False, alpha=0.55, figsize=(20,10))\n",
"plt.xlabel(\"Years\")\n",
"plt.ylabel(\"Number of immigrants\")\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Double-click __here__ for the solution.\n",
"<!-- The correct answer is:\n",
"\\\\ # get the 5 countries with the least contribution\n",
"df_least5 = df_can.tail(5)\n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # transpose the dataframe\n",
"df_least5 = df_least5[years].transpose() \n",
"df_least5.head()\n",
"-->\n",
"\n",
"<!--\n",
"df_least5.index = df_least5.index.map(int) # let's change the index values of df_least5 to type integer for plotting\n",
"-->\n",
"\n",
"<!--\n",
"ax = df_least5.plot(kind='area', alpha=0.55, stacked=False, figsize=(20, 10))\n",
"-->\n",
"\n",
"<!--\n",
"ax.set_title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n",
"ax.set_ylabel('Number of Immigrants')\n",
"ax.set_xlabel('Years')\n",
"-->"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Histograms<a id=\"8\"></a>\n",
"\n",
"A histogram is a way of representing the *frequency* distribution of numeric dataset. The way it works is it partitions the x-axis into *bins*, assigns each data point in our dataset to a bin, and then counts the number of data points that have been assigned to each bin. So the y-axis is the frequency or the number of data points in each bin. Note that we can change the bin size and usually one needs to tweak it so that the distribution is displayed nicely."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Question:** What is the frequency distribution of the number (population) of new immigrants from the various countries to Canada in 2013?"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Before we proceed with creating the histogram plot, let's first examine the data split into intervals. To do this, we will us **Numpy**'s `histrogram` method to get the bin ranges and frequency counts as follows:"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"Country\n",
"India 33087\n",
"China 34129\n",
"United Kingdom of Great Britain and Northern Ireland 5827\n",
"Philippines 29544\n",
"Pakistan 12603\n",
"Name: 2013, dtype: int64"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# let's quickly view the 2013 data\n",
"df_can['2013'].head()"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[178 11 1 2 0 0 0 0 1 2]\n",
"[ 0. 3412.9 6825.8 10238.7 13651.6 17064.5 20477.4 23890.3 27303.2\n",
" 30716.1 34129. ]\n"
]
}
],
"source": [
"# np.histogram returns 2 values\n",
"count, bin_edges = np.histogram(df_can['2013'])\n",
"\n",
"print(count) # frequency count\n",
"print(bin_edges) # bin ranges, default = 10 bins"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"By default, the `histrogram` method breaks up the dataset into 10 bins. The figure below summarizes the bin ranges and the frequency distribution of immigration in 2013. We can see that in 2013:\n",
"* 178 countries contributed between 0 to 3412.9 immigrants \n",
"* 11 countries contributed between 3412.9 to 6825.8 immigrants\n",
"* 1 country contributed between 6285.8 to 10238.7 immigrants, and so on..\n",
"\n",
"<img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DV0101EN/labs/Images/Mod2Fig1-Histogram.JPG\" align=\"center\" width=800>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"We can easily graph this distribution by passing `kind=hist` to `plot()`."
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_can['2013'].plot(kind='hist', figsize=(8, 5))\n",
"\n",
"plt.title('Histogram of Immigration from 195 Countries in 2013') # add a title to the histogram\n",
"plt.ylabel('Number of Countries') # add y-label\n",
"plt.xlabel('Number of Immigrants') # add x-label\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"In the above plot, the x-axis represents the population range of immigrants in intervals of 3412.9. The y-axis represents the number of countries that contributed to the aforementioned population. \n",
"\n",
"Notice that the x-axis labels do not match with the bin size. This can be fixed by passing in a `xticks` keyword that contains the list of the bin sizes, as follows:"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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NwP9WgIc/rFZWVmjWrBkiIiIUxhMZGQk3NzeYm5tLew1nzpyR+ldUVOD8+fOPzXPp0iVkZmZi2bJleOmll9C+fXvk5uaqtQBXU6UtzypPT09cunQJ9+7dk7pduXIFeXl5j33vqVOnYG9vj6VLl6Jbt25o06ZNjSvCa/tsPEpX5u9zzz2HhIQEZGVlSd3S09Nx9epVPPfccw2SQRlzc3M4OzujrKwMP/zwA4YMGVLjSNfDLly4gObNmyvt36VLFwDAb7/9Vmv/5557DllZWdLRNwAoLS1FdHS0NC+aNGkCAEhJSZGGiYuLe6p10NjY+KmPgnTt2hXx8fFo1apVjZ0YGxsbabimTZvi7bffxs6dO/HNN9/g22+/RX5+/lNN80nExMTA398fw4cPx8aNG2t8iXrxxRdRXl6O8PBwqVteXh7++OMP9OzZs97Tr6qqQmlpab3H0xBY7LUsKioKS5YswR9//IG///4bx44dQ3x8vFSsXV1dYWBggCNHjiAjI0MqHHPnzsX69evx9ddfIykpCZs3b8bGjRsxb948AICHhwcGDx6MadOmISIiAomJiZg8eTLy8/Mfu7fp6uoKExMTrF+/HteuXcOxY8cwY8YMjT005XFteVaNHj0alpaWGDt2LOLj4/HHH39gwoQJMDMze+y8bNu2LTIzM/HNN9/g+vXr2LlzJzZs2KAwjJubGwDg8OHDyMzMRGFhYa3j0oX5++abb8LBwQEjRoxAbGwszp8/j5EjR8LFxQUjRoxQ+/RycnIUTqP9/fffiIuLw99//y0N8/vvv+OXX37B9evXERERgZdffhnFxcVYvny5NMyiRYtw5MgRJCcnIyEhAYsXL8aWLVswe/ZspdNu3bo1Ro8ejalTp2L37t24du0aYmJisHbtWgBAnz594OPjgzfffBOnT5/GxYsXMXbsWJSUlGDKlCnSOFxdXbFo0SJcvnwZp06dwqxZs55qHXRzc8Px48eRkpKi8GVLFfPmzcOlS5cwZswYREdH48aNGzh+/DhmzJiB69evAwCmT5+OI0eO4Nq1a0hISMD+/fvRvHlzNGrU6ImzPonIyEj07dsXr7/+OubOnYv09HSkpaUpnOZq06YNXn/9dUyZMgURERGIi4vDm2++WeNzl5aWhri4OOkLWHJyMuLi4hTGNXv2bJw8eRI3b95EQkICgoODsX37dowdO1aj7VQXFnsts7a2xpkzZ/D666/Dw8MD77zzDkaPHo3PPvsMwIPzmitWrEBQUBCaNm2K119/HQAwZcoUfP7551i+fDk8PT2xcuVKBAUFYcKECdK4t23bhg4dOuCVV15B79694eLigpdffvmxh+7s7e2xe/du/P7773juuefw4YcfYtWqVXXu7dSHKm15Fpmbm+PIkSNIT0+Ht7c3xowZg5kzZ8LS0vKxy2DQoEH49NNPMW/ePDz//PPYs2cPgoODFYbx9vbGjBkzEBgYCEdHR6XnKnVh/pqZmeG3336DiYkJ/Pz84O/vDwsLC/z3v//VyD34hw8fRufOndG5c2cAwKefforOnTtjwYIF0jD5+fmYOXMm2rdvj6FDh8LFxQVnz56Fi4uLwjDTpk3D888/j169euHo0aPYt28fpk2bVuf0t23bhsmTJ2P+/Plo37493njjDdy4cQPAgyN5Bw8eRLt27fDqq6/C29sbaWlp+P3336XTB4aGhti7dy8yMjLQuXNnTJs2DcuWLXuqdTAkJATnz5+Hm5vbEz/jo3379oiKikJhYSH69+8PT09PvPvuuyguLpauPRFCYObMmejQoQP8/Pxw//59/Prrrxp/ouLWrVtRUFCAbdu2oWnTpgr/HrZr1y707t0bb7zxBnx9fVFVVYXffvtN4XkCmzZtQufOnfHqq68CeHBqonPnztKpM+DBUZYxY8agbdu28Pf3x8GDB7Fjxw7MmjVLo+1UF5nQxLFZ0kmVlZVo164dXnvtNYSEhGg7zj/SrVu30LJlSxw+fBiDBw/Wdhwi+ofgE/T0WGRkpLRnUFBQgNWrV+PmzZsYP368tqP9Y+zevRsuLi5wc3PDrVu38PHHH8PV1VXpldpERJrAYq/HKisrsXTpUiQnJ8PIyAgdOnTA8ePHFW5tIs3Kzs7GwoULcffuXdja2uLFF1/E999/DxMTE21HI6J/EB7GJyIi0nO8QI+IiEjPsdgTERHpORZ7IiIiPadXF+g9/LQpdbC3t3/ih1A0JF3PB+h+Rl3PBzCjOuh6PkD3M+p6PkD3M2oin7Ozs0rDcc+eiIhIz7HYExER6TkWeyIiIj3HYk9ERKTnWOyJiIj0HIs9ERGRnmOxJyIi0nMs9kRERHqOxZ6IiEjPsdgTERHpORZ7IiIiPadXz8ZXt/Q3fLUdoW4HorSdgIiIngENUuw3bNiA2NhYWFtbIyQkBACwevVq6YdrioqKYG5ujuDgYGRkZGDWrFnSw/09PDwwadKkhohJRESklxqk2Pfu3RsDBgxAaGio1G3WrFnS3zt37oS5ubn02snJCcHBwQ0RjYiISO81yDl7T09PWFpa1tpPCIEzZ87gxRdfbIgoRERE/zhaP2d/6dIlWFtbo2nTplK3jIwMfPzxxzAzM8PIkSPRvn37Wt8bFhaGsLAwAEBQUBDs7e3Vmi1drWNTP0NDQ7W3Wd10PaOu5wOYUR10PR+g+xl1PR+g+xm1mU/rxf706dMKe/U2NjbYsGEDGjVqhOvXryM4OBghISEKh/mrBQQEICAgQHqdlZXVIJl1RUVFhc632d7eXqcz6no+gBnVQdfzAbqfUdfzAbqfURP5qq9vexyt3npXWVmJ6Oho+Pr+76p3IyMjNGrUCADg7u4OR0dHpKamaisiERHRM0+rxf6vv/6Cs7Mz7OzspG75+fmoqqoCAKSnpyM1NRWOjo7aikhERPTMa5DD+GvWrEFiYiIKCgoQGBiI4cOHo0+fPjUO4QNAYmIi9u3bB7lcDgMDA7z77rtKL+4jIiKix2uQYj9z5sxau0+bNq1Gt+7du6N79+6ajkRERPSPwcflEhER6TkWeyIiIj3HYk9ERKTnWOyJiIj0HIs9ERGRnmOxJyIi0nMs9kRERHqOxZ6IiEjPsdgTERHpORZ7IiIiPcdiT0REpOdY7ImIiPQciz0REZGeY7EnIiLScyz2REREeo7FnoiISM+x2BMREek5FnsiIiI9x2JPRESk51jsiYiI9ByLPRERkZ5jsSciItJzLPZERER6jsWeiIhIz7HYExER6TkWeyIiIj3HYk9ERKTnDBtiIhs2bEBsbCysra0REhICANi3bx+OHTsGKysrAMCoUaPQpUsXAMCBAwcQHh4OAwMDvP322/Dy8mqImERERHqpQYp97969MWDAAISGhip0f/XVV/Haa68pdLtz5w6ioqLw5ZdfIjc3F0uWLMHatWthYMCDEERERE+jQSqop6cnLC0tVRo2JiYGvr6+MDIyQpMmTeDk5ITk5GQNJyQiItJfDbJnr8zRo0cRGRkJd3d3jB07FpaWlsjJyYGHh4c0jK2tLXJycrSYkoiI6NmmtWLfr18/DBs2DACwd+9e7Ny5E1OnToUQQuVxhIWFISwsDAAQFBQEe3t7tWZMV+vY1M/Q0FDtbVY3Xc+o6/kAZlQHXc8H6H5GXc8H6H5GbebTWrFv3Lix9Hffvn2xcuVKAICdnR2ys7Olfjk5ObC1ta11HAEBAQgICJBeZ2VlaSitbqqoqND5Ntvb2+t0Rl3PBzCjOuh6PkD3M+p6PkD3M2oin7Ozs0rDae2qt9zcXOnv6OhoNG/eHADQtWtXREVFoby8HBkZGUhNTUXr1q21FZOIiOiZ1yB79mvWrEFiYiIKCgoQGBiI4cOHIyEhATdv3oRMJoODgwMmTZoEAGjevDl69OiB2bNnw8DAABMmTOCV+ERERPXQIMV+5syZNbr16dNH6fBDhw7F0KFDNRmJiIjoH4O7zERERHqOxZ6IiEjPsdgTERHpORZ7IiIiPcdiT0REpOdY7ImIiPQciz0REZGeY7EnIiLScyz2REREeo7FnoiISM+x2BMREek5FnsiIiI9x2JPRESk51jsiYiI9ByLPRERkZ5jsSciItJzhqoMdOfOHVhaWqJx48YoKSnB4cOHYWBggMGDB8PExETTGYmIiKgeVNqzX7t2LYqKigAAO3fuxKVLl3D16lX85z//0Wg4IiIiqj+V9uwzMzPh7OwMIQRiYmIQEhICY2NjTJ8+XdP5iIiIqJ5UKvZGRkYoLi7GnTt3YGdnBysrK1RWVqK8vFzT+YiIiKieVCr2L774Ij7//HMUFxdjwIABAIAbN26gSZMmGg1HRERE9adSsR8/fjz+/PNPyOVydOjQAQAgk8kwbtw4jYYjIiKi+lOp2ANAp06dkJWVhatXr6JNmzZo1aqVJnMRERGRmqhU7LOysrB27VrcvHkTALBr1y6cPXsWcXFxCAwM1GQ+IiIiqieVbr37z3/+g86dO2PHjh0wNHzw/aBjx46Ij4/XaDgiIiKqP5WKfXJyMoYMGQIDg/8Nbm5uLt17T0RERLpLpWJvbW2NtLQ0hW537tyBvb29RkIRERGR+qh0zn7w4MFYuXIlhgwZgqqqKpw6dQoHDhzAkCFDVJrIhg0bEBsbC2tra4SEhAB4cN7//PnzMDQ0hKOjI6ZOnQoLCwtkZGRg1qxZcHZ2BgB4eHhg0qRJT9k8IiIiUqnY9+nTB5aWljh27Bjs7OwQERGBESNGwMfHR6WJ9O7dGwMGDEBoaKjUrWPHjnjzzTchl8uxe/duHDhwAGPGjAEAODk5ITg4+CmaQ0RERI9S+dY7Hx8flYv7ozw9PZGRkaHQrVOnTtLfbdq0wdmzZ59q3ERERFQ3pcU+MjISfn5+AIDw8HClI+jTp0+9Q4SHh8PX11d6nZGRgY8//hhmZmYYOXIk2rdvX+9pEBER/VMpLfanT5+Wiv3JkyeVjqC+xX7//v2Qy+Xo1asXAMDGxgYbNmxAo0aNcP36dQQHByMkJATm5uY13hsWFoawsDAAQFBQkNovGExX69jUz9DQUOcvktT1jLqeD2BGddD1fIDuZ9T1fIDuZ9RmPqXFfu7cuQAAIQQCAwNhb28PuVyu1omfOHEC58+fx4IFCyCTyQA8+NEdIyMjAIC7uzscHR2Rmppa6xP7AgICEBAQIL3OyspSaz5dV1FRofNttre31+mMup4PYEZ10PV8gO5n1PV8gO5n1ES+6ovZH+ext97JZDJ8+OGHUjFWl7i4OBw6dAhz5syBiYmJ1D0/Px9VVVUAgPT0dKSmpsLR0VGt0yYiIvonUekCvZYtWyI1NRUuLi5PNZE1a9YgMTERBQUFCAwMxPDhw3HgwAFUVFRgyZIlAP53i11iYiL27dsHuVwOAwMDvPvuu7C0tHyq6RIREZGKxf65557D8uXL4e/vX+N8gyrn7GfOnFmjm7L3de/eHd27d1clFhEREalApWJ/5coVNGnSBJcuXarRTx1X4xMREZHmqFTsFy5cqOkcREREpCEqPRv/448/rrX7J598otYwREREpH4qFftHfwQHeHBLXnq6rt+JTkRERHUexv/qq68APLifu/rvapmZmWjevLnmkhEREZFa1FnsH76//eG/ZTIZ2rZtix49emguGREREalFncX+3//+N4AH98B7eXk1SCAiIiJSL5Wuxvfy8kJKSgpu3ryJkpIShX689Y6IiEi3qVTs9+/fjx9//BGurq4Kj7YFWOyJiIh0nUrF/siRI1i+fDlcXV01nYeIiIjUTKVb74yNjZ/6ufhERESkXSoV+xEjRmDr1q3Izc1FVVWVwj8iIiLSbSodxt+wYQMA4NixYzX67d27V72JiIiISK1UKvaPPlCHiIiInh0qFXsHBwdN5yAiIiINUanYr1+/HjKZrNZ+06dPV2sgIiIiUi+Vir2Tk5PC67y8PJw9exa9evXSSCgiIiJSH5WKffVjcx/Wp08ffP/992oPREREROql0q13tWnZsiUuXbqkzixERESkASrt2V+8eFHhdWlpKU6fPo1mzZppJBQRERGpj0rFfuPGjQqvTU1N4erqihkzZmgkFBEREamPSsU+NDRU0zmIiIhIQ1Qq9gBQWFiI8+fPIycnB7a2tnjhhRfnXXHkAAAgAElEQVRgaWmpyWxERESkBipdoHf16lW89957+P3333Hr1i2EhYXhvffew9WrVzWdj4iIiOpJpT377du3Y+LEiXjxxRelblFRUdi2bRtWrFihsXBERERUfyrt2aempqJHjx4K3bp37460tDSNhCIiIiL1UanYOzk5ISoqSqHbmTNn4OjoqJFQREREpD4qHcYfP348goKC8Ouvv8Le3h6ZmZlITU3FJ598oul8REREVE8qFfu2bdti/fr1iI2NRW5uLl544QV06dLlia7G37BhA2JjY2FtbY2QkBAAD67wX716NTIzM+Hg4IBZs2bB0tISQghs27YNFy5cgImJCaZOnQp3d/enayEREdE/XJ2H8cvKyvD3338DACwtLeHn54fXX38dfn5+yMnJQVlZmcoT6t27N+bNm6fQ7eDBg3j++eexbt06PP/88zh48CAA4MKFC0hLS8O6deswadIkbNmy5UnbRURERP9fncX+0KFDCA8Pr7XfiRMncPjwYZUn5OnpWeNIQExMDPz9/QEA/v7+iImJAQCcO3cOfn5+kMlkaNOmDe7fv4/c3FyVp0VERET/U+dh/KioKHz22We19hs0aBCWLFmCYcOGPfXE7927BxsbGwCAjY0N8vPzAQA5OTmwt7eXhrOzs0NOTo40bLWwsDCEhYUBAIKCghTeow7pah2b+hkaGqq9zeqm6xl1PR/AjOqg6/kA3c+o6/kA3c+ozXx1Fvvqp+XVxtbWFjk5ORoJJYSo0U0mk9XoFhAQgICAAOl1VlaWRvLoqoqKCp1vs729vU5n1PV8ADOqg67nA3Q/o67nA3Q/oybyOTs7qzRcnYfxTU1NlQbLysqCiYnJkyd7iLW1tXR4Pjc3F1ZWVgAe7Mk/PN3s7Owae/VERESkmjqLfefOnfHdd9/V2m/Pnj3o0qVLvSbetWtXREREAAAiIiLg7e0tdY+MjIQQAlevXoW5uTmLPRER0VOq8zD+yJEj8emnn+Kjjz6Cj48PbGxskJubi+joaBQXF2Pp0qUqT2jNmjVITExEQUEBAgMDMXz4cAwZMgSrV69GeHg47O3tMXv2bAAPvmTExsbi/fffh7GxMaZOnVq/VhIREf2D1VnsGzdujJUrV+Lnn39GXFwcCgsLYWlpiRdeeAGDBg16ovvsZ86cWWv3BQsW1Ogmk8kwceJElcdNREREyj32oTqWlpYYOXIkRo4c2RB5iIiISM1UejY+ERERPbtY7ImIiPQciz0REZGeU1rsP/30U+nv77//vkHCEBERkfopLfYpKSnSD938/PPPDRaIiIiI1Evp1fje3t6YMWMGmjRpgrKyMixcuLDW4RYvXqyxcERERFR/Sov91KlTcfnyZWRkZCA5ORkvvfRSQ+YiIiIiNanzPvt27dqhXbt2qKioQO/evRsoEhEREanTYx+qAwB9+vTBxYsXERkZidzcXNjY2MDPzw8dOnTQdD4iIiKqJ5VuvTt27BjWrFmDxo0bS8/IX7t2rfRb8kRERKS7VNqzP3z4MObPn4+WLVtK3Xx9fRESEqLwe/JERESke1Tasy8oKECzZs0Uujk7O6OwsFAjoYiIiEh9VCr27dq1w86dO1FaWgoAKCkpwa5du9CmTRuNhiMiIqL6U+kw/rvvvos1a9Zg/PjxsLS0RGFhIdq0aYMZM2ZoOh8RERHVk0rF3sbGBosXL0Z2drZ0Nb6dnZ2msxEREZEaqFTsq9nZ2bHIExERPWP4q3dERER6jsWeiIhIzz222FdVVeHixYuoqKhoiDxERESkZo8t9gYGBvjiiy9gaPhEp/eJiIhIR6h0GL99+/a4evWqprMQERGRBqi0u+7g4IAVK1aga9eusLOzg0wmk/qNGDFCY+GIiIio/lQq9mVlZfD29gYA5OTkaDQQERERqZdKxX7q1KmazkFEREQaovJVd3fu3MHZs2dx7949TJgwASkpKSgvL4erq6sm8xEREVE9qXSB3pkzZ7Bw4ULk5OQgMjISAFBcXIydO3dqNBwRERHVn0p79vv27cNnn32Gli1b4syZMwAAV1dX3Lx5s14TT0lJwerVq6XXGRkZGD58OO7fv49jx47BysoKADBq1Ch06dKlXtMiIiL6p1Kp2N+7d6/G4XqZTKZwVf7TcHZ2RnBwMIAHD++ZPHkyfHx8cPz4cbz66qt47bXX6jV+IiIiUvEwvru7u3T4vtrp06fRunVrtQX566+/4OTkBAcHB7WNk4iIiFTcs3/77bexdOlShIeHo7S0FMuWLUNKSgrmz5+vtiCnT5/Giy++KL0+evQoIiMj4e7ujrFjx8LS0lJt0yIiIvonkQkhhCoDlpaW4vz588jKyoKdnR1eeOEFmJqaqiVERUUFJk+ejJCQEDRu3Bh5eXnS+fq9e/ciNze31tv/wsLCEBYWBgAICgpCWVmZWvJUS3/DV63jUzeXn6J1/jcLDA0NdTqjrucDmFEddD0foPsZdT0foPsZNZHP2NhYtWmrOkITExO0a9cOOTk5sLW1VVuhB4ALFy7Azc0NjRs3BgDpfwDo27cvVq5cWev7AgICEBAQIL3OyspSW6ZnQUVFhc632d7eXqcz6no+gBnVQdfzAbqfUdfzAbqfURP5nJ2dVRpOpWKflZWFdevWISkpCRYWFrh//z5at26N999/Xy3n2B89hJ+bmwsbGxsAQHR0NJo3b17vaRAREf1TqVTsQ0ND4e7ujnnz5sHU1BQlJSXYs2cPQkNDsWjRonoFKC0tRXx8PCZNmiR12717N27evAmZTAYHBweFfkRERPRkVCr2169fx6effir9zK2pqSnGjBmDd955p94BTExMsHXrVoVu7733Xr3HS0RERA+odOudh4cHkpOTFbpdu3YNbdq00UgoIiIiUh+le/Z79+6V/nZ0dMSKFSvQpUsX2NnZITs7GxcuXEDPnj0bJCQRERE9PaXFPjs7W+F1t27dAAD5+fkwMjKCj4+P2m91IyIiIvVTWuz5s7ZERET6QeX77EtLS5GWloaSkhKF7m3btlV7KCIiIlIflYp9REQEtm7dCkNDwxpP69m4caNGghEREZF6qFTsd+/ejQ8++AAdO3bUdB4iIiJSM5VuvTM0NISnp6emsxAREZEGqFTsR4wYgZ07dyI/P1/TeYiIiEjNVDqM7+zsjH379uHo0aM1+j18Pz4RERHpHpWK/fr16+Hn5wdfX1+Vf06PiIiIdINKxb6wsBAjRoyATCbTdB4iIiJSM5XO2ffu3RuRkZGazkJEREQaoNKefXJyMv773/9i//79aNy4sUK/xYsXayQYERERqYdKxb5v377o27evprMQERGRBqhU7Hv37q3hGERERKQpKhX78PBwpf369OmjtjBERESkfioV+5MnTyq8zsvLQ1paGtq1a8diT0REpONUKvYLFy6s0S08PBx3795VeyAiIiJSL5VuvatN79696zy8T0RERLpBpT37qqoqhddlZWWIjIyEhYWFRkIRERGR+qhU7EeNGlWjm62tLSZPnqz2QERERKReKhX7r776SuG1iYkJrKysNBKIiIiI1EulYu/g4KDpHERERKQhdRb7xz0KVyaTYcGCBWoNREREROpVZ7Hv1atXrd1zcnLw66+/orS0VCOhiIiISH3qLPaPPjCnoKAABw4cwLFjx+Dr64thw4ZpNBwRERHVn0rn7IuKinD48GEcPXoUXbp0wcqVK+Hk5KS2ENOmTYOpqSkMDAwgl8sRFBSEwsJCrF69GpmZmXBwcMCsWbNgaWmptmkSERH9U9RZ7MvKyvDLL7/g559/hqenJz7//HM0b95cI0EWLlyocIX/wYMH8fzzz2PIkCE4ePAgDh48iDFjxmhk2kRERPqszifoTZs2DT///DNee+019O/fH/fu3cPFixcV/mlKTEwM/P39AQD+/v6IiYnR2LSIiIj0WZ179sbGxgCA3377rdb+Mpmsxj34T2vZsmUAgJdffhkBAQG4d+8ebGxsAAA2NjbIz89Xy3SIiIj+aeos9qGhoQ0SYsmSJbC1tcW9e/ewdOlSODs7q/S+sLAwhIWFAQCCgoJgb2+v1lzpah2b+hkaGqq9zeqm6xl1PR/AjOqg6/kA3c+o6/kA3c+ozXwqXaCnaba2tgAAa2treHt7Izk5GdbW1sjNzYWNjQ1yc3NrfWJfQEAAAgICpNdZWVkNllkXVFRU6Hyb7e3tdTqjrucDmFEddD0foPsZdT0foPsZNZFP1Z3jp/7VO3UpKSlBcXGx9Hd8fDxatGiBrl27IiIiAgAQEREBb29vbcYkIiJ6Zml9z/7evXtYtWoVAKCyshI9e/aEl5cXWrVqhdWrVyM8PBz29vaYPXu2lpMSERE9m7Re7B0dHREcHFyje6NGjfgoXiIiIjXQ+mF8IiIi0iwWeyIiIj3HYk9ERKTnWOyJiIj0HIs9ERGRnmOxJyIi0nMs9kRERHqOxZ6IiEjPsdgTERHpORZ7IiIiPcdiT0REpOdY7ImIiPQciz0REZGeY7EnIiLScyz2REREeo7FnoiISM+x2BMREek5FnsiIiI9x2JPRESk51jsiYiI9ByLPRERkZ5jsSciItJzLPZERER6jsWeiIhIz7HYExER6TkWeyIiIj3HYk9ERKTnWOyJiIj0nKE2J56VlYXQ0FDk5eVBJpMhICAAAwcOxL59+3Ds2DFYWVkBAEaNGoUuXbpoMyoREdEzS6vFXi6X46233oK7uzuKi4vxySefoGPHjgCAV199Fa+99po24xEREekFrRZ7Gxsb2NjYAADMzMzg4uKCnJwcbUYiIiLSO1ot9g/LyMjAjRs30Lp1a1y+fBlHjx5FZGQk3N3dMXbsWFhaWtZ4T1hYGMLCwgAAQUFBsLe3V2umdLWOTf0MDQ3V3mZ10/WMup4PYEZ10PV8gO5n1PV8gO5n1GY+mRBCaGXKDykpKcHChQsxdOhQdOvWDXl5edL5+r179yI3NxdTp0597HhSUlLUmqvyXd0+jeB4IApZWVnajlEne3t7nc6o6/kAZlQHXc8H6H5GXc8H6H5GTeRzdnZWaTitX41fUVGBkJAQ9OrVC926dQMANG7cGAYGBjAwMEDfvn1x7do1LackIiJ6dmm12AshsGnTJri4uGDQoEFS99zcXOnv6OhoNG/eXBvxiIiI9IJWz9lfuXIFkZGRaNGiBT766CMAD26zO336NG7evAmZTAYHBwdMmjRJmzGJiIieaVot9u3atcO+fftqdOc99UREROqj9XP2REREpFks9kRERHqOxZ6IiEjPsdgTERHpORZ7IiIiPcdiT0REpOdY7ImIiPQciz0REZGeY7EnIiLScyz2REREeo7FnoiISM+x2BMREek5FnsiIiI9x2JPRESk51jsiYiI9JxWf8+e6if9DV9tR3i8A1HaTkBE9I/HPXsiIiI9x2JPRESk51jsiYiI9ByLPRERkZ5jsSciItJzLPZERER6jsWeiIhIz7HYExER6TkWeyIiIj3HYk9ERKTnWOyJiIj0nE4/Gz8uLg7btm1DVVUV+vbtiyFDhmg7EhER0TNHZ4t9VVUVvvnmG8yfPx92dnaYO3cuunbtimbNmmk7GukR/pgQkf7Q+fVZi+uyzhb75ORkODk5wdHREQDg6+uLmJgYFvtnjM6vfESkEq7LzzadPWefk5MDOzs76bWdnR1ycnK0mIiIiOjZpLN79kKIGt1kMpnC67CwMISFhQEAgoKC4OzsrN4Qv5xT7/iInpLaP9saoOsZdT0foOMZuT1UC20tY53ds7ezs0N2drb0Ojs7GzY2NgrDBAQEICgoCEFBQRrJ8Mknn2hkvOqi6/kA3c+o6/kAZlQHXc8H6H5GXc8H6H5GbebT2WLfqlUrpKamIiMjAxUVFYiKikLXrl21HYuIiOiZo7OH8eVyOd555x0sW7YMVVVVeOmll9C8eXNtxyIiInrmyBctWrRI2yGUadq0KV555RUMHDgQ7du310oGd3d3rUxXVbqeD9D9jLqeD2BGddD1fIDuZ9T1fIDuZ9RWPpmo7Uo4IiIi0hs6e86eiIiI1ENnz9lrk7Ye01tWVoaFCxeioqIClZWV6N69O4YPHy7137p1K44fP45du3YBABITE7Fjxw7cunULM2fORPfu3QEAmZmZWLVqFaqqqlBZWYkBAwagX79+ast5//59bNq0Cbdv34ZMJsOUKVNgbGyMr7/+GmVlZZDL5Zg4cSJat26NkydP4tChQwAAU1NTTJw4ES1btlQ6njZt2jxVpg0bNiA2NhbW1tYICQkBABQWFmL16tXIzMyEg4MDZs2aBUtLS6WZ6pr/Fy9exK5du1BRUQE3NzdMmTIFcrm8Xvn27NmDc+fOQSaTwdraGlOnToWtrS0AICEhAdu3b0dlZSUaNWqExYsXAwCmTZsGU1NTGBgYQC6XS3ei7Nq1C+fPn4ehoSEcHR0xdepUWFhY1Hserl69GikpKQCAoqIimJubIzg4GABw4MABhIeHw8DAAG+//Ta8vLwAPH65Hj58GLt378aWLVtgZWWlcr6srCyEhoYiLy8PMpkMAQEBGDhwoNLlXC05ORmffvopZs2ahe7du+PixYvYsWOH1D8lJQUzZsyAj48PFixYgOLiYgBAfn4+WrVqhY8//rjeGZUt66KiIqxbtw7Z2dmorKzE4MGD8dJLLwEAdu/ejQsXLgAA/vWvf8HX98FDbTIyMrBmzRoUFhbCzc0N7733HgwNVduUK8unbDknJydj8+bN0vv//e9/w8fHB4Dy7eTGjRtx/fp1CCHQtGlT6TOrKmXrobJ2b9++HQkJCdJ77927h+3btwMAli1bhqSkJLRr107hSnghBPbs2YOzZ8/CwMAAL7/8MgYOHFivfNVU3U7fvHkTX3/9NYqLi2FgYIChQ4dKy7i+25taCVJQWVkppk+fLtLS0kR5ebn48MMPxe3btxtk2lVVVaK4uFgIIUR5ebmYO3euuHLlihBCiOTkZLFu3ToxZswYafj09HRx8+ZNsX79enHmzBmpe3l5uSgrKxNCCFFcXCymTp0qsrOz1ZZz/fr1IiwsTJpWYWGhWLJkiYiNjRVCCHH+/HmxcOFCIYQQly9fFgUFBUIIIWJjY8XcuXPrHM/TSkhIENeuXROzZ8+Wuu3atUscOHBACCHEgQMHxK5du+rMpGz+V1ZWisDAQHH37l0hhBB79uwRx44dq3e++/fvS3//8ssvYvPmzUIIIQoLC8XMmTNFZmamEEKIvLw8abipU6eKe/fu1Rh/XFycqKiokNpd3db6ZnzYjh07xPfffy+EEOL27dviww8/FGVlZSI9PV1Mnz5dVFZWCiHqXq6ZmZli6dKlYsqUKbW2oy45OTni2rVrQgghioqKxPvvvy9u376tdDkL8WB9XrRokVi+fLnCOlKtoKBAjB8/XpSUlNToFxwcLE6cOKGWjMqW9Y8//ijlvXfvnhg/frwoLy8X58+fF59//rmoqKgQxcXFYs6cOdI4QkJCxKlTp4QQQmzevFkcPXq03vke9vByLikpkT5XOTk5YsKECaKioqLO7eTDbd2+fbu0bFSlbD1Upd1HjhwRoaGh0uv4+HgRExMjVqxYoTBceHi4WL9+vfSZfXgde9p8QjzZdvru3bsiJSVFCCFEdna2ePfdd0VhYaFatje14WH8Rzz8mF5DQ0PpMb0NQSaTSd+AKysrUVlZCZlMhqqqKuzevRtjxoxRGL5JkyZwdXWt8bAhQ0NDGBkZAQDKy8tRVVWltoxFRUW4dOkS+vTpI03LwsICMplM2iMqKiqSnonQtm1baS/Lw8NDenaCsvE8LU9PT4W9OQCIiYmBv78/AMDf319ajsoyKZv/hYWFMDQ0lB6G0bFjR/zxxx/1zmdubi79XVpaKi3HU6dOoVu3brC3twcAWFtbP3b8nTp1kr75t2nT5qmeNllbxmpCCJw5cwYvvvgigAfz1tfXF0ZGRmjSpAmcnJyQnJz82OW6Y8cOjB49usZnVhU2NjbSxU1mZmZwcXFBTk6O0uUMAL/++iu6deum9AjC2bNn0blzZ5iYmCh0Ly4uRkJCAry9vdWSUdmylslkKCkpgRACJSUlsLS0hIGBAe7cuQNPT0/I5XKYmprC1dUVcXFxEEIgISFB2jvs3bv3E22flOWr9uhyNjExkT5X5eXlUu66tpPVbRVCoKys7InmX/U8qW09VKXdp0+fRs+ePaXXzz//PMzMzGoM99tvv2HYsGEwMHhQAlVZxx6X70m3087OzmjatCkAwNbWFtbW1sjPz1fL9qY2PIz/iNoe05uUlNRg06+qqsKcOXOQlpaG/v37w8PDA0eOHMELL7xQ46FCdcnKykJQUBDS0tIwZswY6fBwfWVkZMDKygobNmzArVu34O7ujvHjx2PcuHFYtmwZdu3ahaqqKixdurTGe8PDw9G5c+c6x/Mkh/se5969e9I8s7GxQX5+fp2ZgNrnvxAClZWVuHbtGlq1aoWzZ88iKytLLRm/++47REZGwtzcHAsXLgQApKamoqKiAosWLUJxcTEGDhwoFTPgwaFJAHj55ZcREBBQa5uqDweqy6VLl2BtbS1tnHJycuDh4SH1t7W1RU5ODoyNjZUu13PnzsHW1lY6jVMfGRkZuHHjBlq3bq10Oefk5CA6OhoLFy7Exo0bax3P6dOnMWjQoBrdo6Oj0aFDB4UiXZ+MQO3LesCAAfjiiy8wefJkFBcXY9asWTAwMICrqyt++OEHDBo0CKWlpUhISECzZs1QUFAAc3NzqQBXz3d15ANqLmcASEpKwsaNG5GZmYn33nsPcrn8sdvJDRs24MKFC2jWrBnGjh37xNkeXQ8dHR0f2+7MzExkZGSgQ4cOjx1/eno6oqKiEB0dDSsrK7z99tsKbX7SfE+7na6WnJyMiooKODo6QiaTaWR7wz37RwgVHtOrSQYGBggODsamTZtw7do1JCYm4syZM3jllVeeaDz29vZYtWoV1q1bh4iICOTl5aklX2VlJW7cuIF+/frhiy++gImJCQ4ePIjffvsN48aNw8aNGzFu3Dhs2rRJ4X0XL17E8ePHMXr06DrH05AezQTUnP9///03ZDIZZs6ciR07dmDu3LkwMzOr//mz/2/UqFHYuHEjevbsif/+978A/jdvPvnkE3z66af48ccfpfOpS5YswcqVKzFv3jwcPXoUiYmJCuPbv38/5HI5evXqpZZ81U6fPi3t7QG1rycPZ390uZaWlmL//v0YMWJEvbOUlJQgJCQE48ePr7MYb9++HaNHj5b23h6Vm5uLv//+G506darR79H2qiNjbcv6zz//hKurKzZv3ozg4GB88803KCoqQqdOndC5c2fMnz8fa9euRZs2bdT2mVOWD6i93R4eHvjyyy+xYsUKHDhwAGVlZY/dTk6dOhWbN2+Gi4sLoqKe/JfeHl0P7969+9j3nD59Gt27d1e6vB9WXl4OIyMjBAUFoW/fvkq/DKqa72m308CDz+H69esxZcoUGBgYaGx7w2L/CFUe09sQLCws4OnpiYSEBKSlpeH999/HtGnTUFZWhvfee0/l8dja2qJ58+a4fPmyWnLZ2dnBzs5O2qvr3r07bty4gYiICHTr1g0A0KNHDyQnJ0vvuXXrFjZv3oyPPvoIjRo1qnM86mRtbY3c3FwAD1aohw/l1pbpYdXzPy4uDsCDQ+Off/45VqxYgfbt28PJyUmtWXv27CkdqrOzs0OnTp1gamoKKysrtG/fHrdu3QIA6QiNtbU1vL29FebziRMncP78ebz//vtq/YJaWVmJ6OhohaMFj64nOTk5sLW1Vbpc09PTkZGRgY8++gjTpk1DdnY25syZ88RfQisqKhASEoJevXpJnzdly/natWtYu3Ytpk2bhrNnz2LLli2Ijo6WxnXmzBn4+PjUuLitoKAAycnJ6NKlyxNlqyvjwx5e1sePH0e3bt0gk8ng5OSEJk2aSF/shg4diuDgYHz22WcQQsDJyQmNGjVCUVERKisrAfxvvqsjX23L+WHNmjWDqakpbt++rdJ20sDAAL6+vvU6BF29HiYlJT223VFRUSp/QbOzs5Pa7uPjI61fT5vvabfTRUVFCAoKwsiRIxUuYtXE9obF/hHafExvfn4+7t+/D+DBFZ9//fUX3N3d8fXXXyM0NBShoaEwNjbG+vXr6xxPdna2dK6ssLAQV65cUduPLzRu3Bh2dnbSBumvv/5Cs2bNYGtrK+1lXrx4UfpwZmVlYdWqVZg+fbpCBmXjUaeuXbsiIiICABARESGdf1WWqbb57+LiAuDBKQHgwR7BoUOH1HJ3Q2pqqvT3uXPnpCxdu3bF5cuXUVlZidLSUiQnJ8PFxQUlJSXSdRElJSWIj49HixYtADy4MvrQoUOYM2dOjfPP9fXXX3/B2dlZ4bBt165dERUVhfLycmRkZCA1NRWtW7dWulxbtGiBLVu2SJ9jOzs7rFy5Eo0bN1Y5hxACmzZtgouLi8Khd2XLuXpaoaGh6N69OyZOnChdSQ4o33s/c+YMunTpAmNj4yebUXVkVLas7e3t8ddffwEA8vLykJKSgiZNmqCqqgoFBQUAHnwxrT4CIZPJ8Nxzz+Hs2bMAHnzBe5Ltk7J8QO3LOSMjQyqwmZmZSElJgYODg9LtpBACaWlp0rQebquqlK2HdbU7JSUF9+/fV/luHm9vb1y8eBHAg6vlnySjurbTFRUVWLVqFfz8/NCjRw+FfprY3vCc/SO0+Zje3NxchIaGoqqqCkII9OjRAy+88ILS4ZOTk7Fq1Srcv38f58+fx759+/Dll1/i7t272LlzJ2QyGYQQGDx4sFQU1OGdd97BunXrUFFRgSZNmmDq1Knw9vaWbsMxMjLC5MmTAQA//PADCgsLsWXLFgBQuF2stvE8rTVr1iAxMREFBQUIDAzE8OHDMWTIEKxevRrh4eGwt7fH7Nmz68xU1/w/fPgwYmNjUVVVhX79+ql0XvBx+WJjY/5i0uoAAAlDSURBVJGamgqZTAZ7e3tMmjQJwIM9KC8vL3z44YcwMDBAnz590KJFC6Snp2PVqlUAHuyF9ezZU7rd7ZtvvkFFRQWWLFkC4MGh1+rx1Sdjnz59ai2KzZs3R48ePTB79mwYGBhgwoQJ0uFTdS7Xh125cgWRkZFo0aIFPvroIwAPDo0rW851ycjIQFZWFjw9PWv0i4qKeurbbZVlDA8Pr3VZ/+tf/8KGDRvwwQcfAABGjx4NKysrlJWVYcGCBQAeXPBWfa68epg1a9Zgz549cHNzky6GrE++Ll261LqcL1++jIMHD0Iul0vLufrISW3byaqqKoSGhqKoqAgA4OrqiokTJz7RPFS2HjZr1kxpu0+dOgVfX98aR7QWLFiAu3fvoqSkBIGBgQgMDISXlxeGDBmCdevW4ZdffoGpqam0vapPPmWUbaejoqJw6dIlFBQU4MSJEwAe3FrbsmXLem9vasMn6BEREek5HsYnIiLScyz2REREeo7FnoiISM+x2BMREek5FnsiIiI9x2JP9AwIDQ3Fnj17tDJtIQQ2bNiAt99+G3PnztVKhmonT56s9VHMRFQ3FnuipzBt2jS8++67KCkpkbodO3YMixYt0l4oDbl8+TLi4+OxceNGrFixokb/EydO4LPPPmuQLL169cL8+fMbZFqPSkhIQGBgoFamTVRfLPZET6myshJHjhzRdown9qS/glj9O/Hq/JEibah+EhzRPxGfoEf0lF577TUcOnQI/fv3r/HzvBkZGZg+fTq+++476clnixYtQq9evdC3b1+cOHECx44dQ6tWrXDixAlYWlrivffeQ2pqKvbu3Yvy8nKMGTMGvXv3lsaZn5+PJUuWICkpCW5ubpg+fTocHBwAAHfv3sXWrVtx/fp1WFlZYcSIEdIzzqsf35mVlYXExER89NFH6Nixo0LenJwcfP3117h8+TIsLS3x+uuvIyAgAOHh4dLT+d566y0MHjwYw4cPr3O+TJs2Df3790dkZCTS09Ph6+uLUaNGYcOGDbh8+TI8PDwwa9YsWFpaSvNpypQp2LdvH0pKSjBq1Ci4u7tj06ZNyMrKQq9evTBhwgQAkOZb9ZMC//zzT2zduhV5eXno1asXbt++DT8/vxrzOCIiAv3790fv3r2xefNm3Lp1CzKZDJ06dcKECROk5fdw9szMTHh5eWHatGmoqqrC8uXLpfkAAGvXrkVOTg62bNmC1NRUGBsbo2fPnhg37v+1d3chTf1xHMffubZmLefmtPVA2uhhWCQ4SMIpaDetrqwpWBd1ExZk64EIpO6CbmLlygtpD6yBFkIFEdJNxQykQSV0kUyDsiCiqWSGrub2vwiHc1aa//5/G9/X1R7O75zzO2fwPed3fuxz4Hd+TkL8UXJnL8RvMplMbN68mbt37/5W+76+PgoLC/F6vVitVi5fvkx/fz8ul4vGxka8Xm/KY4LHjx+zd+9ePB4PRUVFuFwu4Pv/5J8/fx6r1Yrb7cbhcODxeHj79m1K25qaGvx+P2azOW1fmpubycvLo7W1lVOnTtHe3s6LFy+orq7m0KFDbNy4kUAg8MtCP+nJkyfJxLanT59y4cIF6uvr8Xg8xONxOjs7045Fc3NzMu3r1q1bnDt3DqfTSXd3d1q6H3y/+HE6nezbtw+v18uqVasIh8Np612xYgVut5s9e/YAUFNTQ2trK5cuXWJwcJCOjo6UNt3d3TQ1NdHS0sLAwACPHj1CrVbT1NSETqcjEAgQCATQ6/X4fD527dqF3+/nypUraf9xLsRCIcVeiHmoq6ujs7MzmaE+FwUFBVRVVSXTwQYHB7Hb7SiVSkpKSli8eHEyVASgtLSU4uJilEol9fX1hMNhIpEIz549Iz8/n6qqKhQKBSaTibKysmRoCHwP/jCbzWRlZaUFvEQiEXp7e9m/fz8qlYqioiJ27NhBMBj87eOyc+dOcnNz0ev1mM1m1q9fz7p161AqlWzbti0t4dBut6NSqSgpKWHJkiVYrVa0Wm2y/UyJiJN56WVlZSgUCmw2W1qwjk6nw2azoVAoUKlUGI1Gtm7dilKpJCcnh927d6ddSNhsNvR6PRqNBovFwuvXr3/Yz8lzNDIyglqtnnUQixD/NRnGF2Ie1q5di8Vi4c6dO8mEvNnSarXJ15MFeGqxUqlUKXf2U9PI1Go1Go2G4eFhPn78SF9fHwcPHkx+PzExQWVl5YxtpxseHkaj0ZCdnZ38zGAw8OrVqzn1Z6rpfZv+PhqNzmn5qcdh6n5P7deiRYvSYk8NBkPK+0+fPuHz+Xj58iXj4+PE43E0Gk3KMtPPwdDQ0A/7efjwYW7evMmJEycoKCjAbrf/NBRFiP+LFHsh5qmuro4zZ86kRIZOTmaLRqMsXboUYM7Z7dNNzQ8fHx9ndHQUnU5HXl4excXFP50R/7N8e51Ox+joKGNjY8mCH4lE5pyT/l/Lzc1NKcSJROKnhRmgra0NgIsXL7J8+XJCoRBer3dW25vpGK5cuZLjx48Tj8cJhUI4nU48Hs9fP5lRZB4ZxhdinoxGI9u3b095Dp2Tk4Ner6erq4t4PM6DBw/48OHDvLbz/Plzent7icVi3Lhxgw0bNmAwGLBYLLx//55gMEgsFiMWi9Hf38+7d+9mtV6DwcCmTZtoa2vj69evvHnzhocPH1JRUTGv/f3TSktLGRgYIBQKMTExwf379395QTU2NoZarWbZsmUMDQ3Nab6FVqvl8+fPyfhWgGAwyMjICFlZWcmLusmoXyEWErmzF+JfYLfb6erqSvmsoaEBt9tNe3s71dXV836eW15eTkdHB+FwGJPJxLFjxwDIzs7m7Nmz+P1+/H4/iUSCwsLCOc0KdzgcXLt2jYaGBjQaDbW1tWkz9heanJwcTp48ic/no6WlhYqKCkwmE0ql8odtamtruXr1KgcOHMBoNFJZWcm9e/dmtb3Vq1dTXl7O0aNHicfjOJ1Oenp6uH79OtFolPz8fBwOR9qcCCEWAsmzF0JkhHg8zpEjR2hsbGTLli3/9+4IsaDIeJMQ4q/V09PDly9f+PbtG7dv3yaRSMiMeCFmIMP4Qoi/VjgcxuVyEYvFWLNmDadPn5ZhdCFmIMP4QgghRIaTYXwhhBAiw0mxF0IIITKcFHshhBAiw0mxF0IIITKcFHshhBAiw0mxF0IIITLcP/mfJHAOEAR0AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 576x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 'bin_edges' is a list of bin intervals\n",
"count, bin_edges = np.histogram(df_can['2013'])\n",
"\n",
"df_can['2013'].plot(kind='hist', figsize=(8, 5), xticks=bin_edges)\n",
"\n",
"plt.title('Histogram of Immigration from 195 countries in 2013') # add a title to the histogram\n",
"plt.ylabel('Number of Countries') # add y-label\n",
"plt.xlabel('Number of Immigrants') # add x-label\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"*Side Note:* We could use `df_can['2013'].plot.hist()`, instead. In fact, throughout this lesson, using `some_data.plot(kind='type_plot', ...)` is equivalent to `some_data.plot.type_plot(...)`. That is, passing the type of the plot as argument or method behaves the same. \n",
"\n",
"See the *pandas* documentation for more info http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.plot.html."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"We can also plot multiple histograms on the same plot. For example, let's try to answer the following questions using a histogram.\n",
"\n",
"**Question**: What is the immigration distribution for Denmark, Norway, and Sweden for years 1980 - 2013?"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"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>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>1987</th>\n",
" <th>1988</th>\n",
" <th>1989</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",
" <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>Denmark</th>\n",
" <td>272</td>\n",
" <td>293</td>\n",
" <td>299</td>\n",
" <td>106</td>\n",
" <td>93</td>\n",
" <td>73</td>\n",
" <td>93</td>\n",
" <td>109</td>\n",
" <td>129</td>\n",
" <td>129</td>\n",
" <td>...</td>\n",
" <td>89</td>\n",
" <td>62</td>\n",
" <td>101</td>\n",
" <td>97</td>\n",
" <td>108</td>\n",
" <td>81</td>\n",
" <td>92</td>\n",
" <td>93</td>\n",
" <td>94</td>\n",
" <td>81</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Norway</th>\n",
" <td>116</td>\n",
" <td>77</td>\n",
" <td>106</td>\n",
" <td>51</td>\n",
" <td>31</td>\n",
" <td>54</td>\n",
" <td>56</td>\n",
" <td>80</td>\n",
" <td>73</td>\n",
" <td>76</td>\n",
" <td>...</td>\n",
" <td>73</td>\n",
" <td>57</td>\n",
" <td>53</td>\n",
" <td>73</td>\n",
" <td>66</td>\n",
" <td>75</td>\n",
" <td>46</td>\n",
" <td>49</td>\n",
" <td>53</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sweden</th>\n",
" <td>281</td>\n",
" <td>308</td>\n",
" <td>222</td>\n",
" <td>176</td>\n",
" <td>128</td>\n",
" <td>158</td>\n",
" <td>187</td>\n",
" <td>198</td>\n",
" <td>171</td>\n",
" <td>182</td>\n",
" <td>...</td>\n",
" <td>129</td>\n",
" <td>205</td>\n",
" <td>139</td>\n",
" <td>193</td>\n",
" <td>165</td>\n",
" <td>167</td>\n",
" <td>159</td>\n",
" <td>134</td>\n",
" <td>140</td>\n",
" <td>140</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>3 rows × 34 columns</p>\n",
"</div>"
],
"text/plain": [
" 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 ... \\\n",
"Country ... \n",
"Denmark 272 293 299 106 93 73 93 109 129 129 ... \n",
"Norway 116 77 106 51 31 54 56 80 73 76 ... \n",
"Sweden 281 308 222 176 128 158 187 198 171 182 ... \n",
"\n",
" 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 \n",
"Country \n",
"Denmark 89 62 101 97 108 81 92 93 94 81 \n",
"Norway 73 57 53 73 66 75 46 49 53 59 \n",
"Sweden 129 205 139 193 165 167 159 134 140 140 \n",
"\n",
"[3 rows x 34 columns]"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# let's quickly view the dataset \n",
"df_can.loc[['Denmark', 'Norway', 'Sweden'], years]"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fdd48a5d588>"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# generate histogram\n",
"df_can.loc[['Denmark', 'Norway', 'Sweden'], years].plot.hist()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"That does not look right! \n",
"\n",
"Don't worry, you'll often come across situations like this when creating plots. The solution often lies in how the underlying dataset is structured.\n",
"\n",
"Instead of plotting the population frequency distribution of the population for the 3 countries, *pandas* instead plotted the population frequency distribution for the `years`.\n",
"\n",
"This can be easily fixed by first transposing the dataset, and then plotting as shown below.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"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>Country</th>\n",
" <th>Denmark</th>\n",
" <th>Norway</th>\n",
" <th>Sweden</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1980</th>\n",
" <td>272</td>\n",
" <td>116</td>\n",
" <td>281</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981</th>\n",
" <td>293</td>\n",
" <td>77</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1982</th>\n",
" <td>299</td>\n",
" <td>106</td>\n",
" <td>222</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1983</th>\n",
" <td>106</td>\n",
" <td>51</td>\n",
" <td>176</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1984</th>\n",
" <td>93</td>\n",
" <td>31</td>\n",
" <td>128</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Country Denmark Norway Sweden\n",
"1980 272 116 281\n",
"1981 293 77 308\n",
"1982 299 106 222\n",
"1983 106 51 176\n",
"1984 93 31 128"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# transpose dataframe\n",
"df_t = df_can.loc[['Denmark', 'Norway', 'Sweden'], years].transpose()\n",
"df_t.head()"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# generate histogram\n",
"df_t.plot(kind='hist', figsize=(10, 6))\n",
"\n",
"plt.title('Histogram of Immigration from Denmark, Norway, and Sweden from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's make a few modifications to improve the impact and aesthetics of the previous plot:\n",
"* increase the bin size to 15 by passing in `bins` parameter\n",
"* set transparency to 60% by passing in `alpha` paramemter\n",
"* label the x-axis by passing in `x-label` paramater\n",
"* change the colors of the plots by passing in `color` parameter"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# let's get the x-tick values\n",
"count, bin_edges = np.histogram(df_t, 15)\n",
"\n",
"# un-stacked histogram\n",
"df_t.plot(kind ='hist', \n",
" figsize=(10, 6),\n",
" bins=15,\n",
" alpha=0.6,\n",
" xticks=bin_edges,\n",
" color=['coral', 'darkslateblue', 'mediumseagreen']\n",
" )\n",
"\n",
"plt.title('Histogram of Immigration from Denmark, Norway, and Sweden from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Tip:\n",
"For a full listing of colors available in Matplotlib, run the following code in your python shell:\n",
"```python\n",
"import matplotlib\n",
"for name, hex in matplotlib.colors.cnames.items():\n",
" print(name, hex)\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"If we do no want the plots to overlap each other, we can stack them using the `stacked` paramemter. Let's also adjust the min and max x-axis labels to remove the extra gap on the edges of the plot. We can pass a tuple (min,max) using the `xlim` paramater, as show below."
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"count, bin_edges = np.histogram(df_t, 15)\n",
"xmin = bin_edges[0] - 10 # first bin value is 31.0, adding buffer of 10 for aesthetic purposes \n",
"xmax = bin_edges[-1] + 10 # last bin value is 308.0, adding buffer of 10 for aesthetic purposes\n",
"\n",
"# stacked Histogram\n",
"df_t.plot(kind='hist',\n",
" figsize=(10, 6), \n",
" bins=15,\n",
" xticks=bin_edges,\n",
" color=['coral', 'darkslateblue', 'mediumseagreen'],\n",
" stacked=True,\n",
" xlim=(xmin, xmax)\n",
" )\n",
"\n",
"plt.title('Histogram of Immigration from Denmark, Norway, and Sweden from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants') \n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Question**: Use the scripting layer to display the immigration distribution for Greece, Albania, and Bulgaria for years 1980 - 2013? Use an overlapping plot with 15 bins and a transparency value of 0.35."
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"button": false,
"collapsed": true,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"### type your answer here\n",
"df_can.loc[['Greece','Albania','Bulgaria'], years]\n",
"df_tr=df_can.loc[['Greece','Albania','Bulgaria'], years].transpose()\n",
"\n",
"count, bin_edges = np.histogram(df_tr, 15)\n",
"\n",
"df_tr.plot(kind='hist', bins=15, alpha=0.35, xticks=bin_edges, figsize=(20,10))\n",
"\n",
"plt.title('Histogram of Immigration from Greece, Albania, and Bulgaria from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Double-click __here__ for the solution.\n",
"<!-- The correct answer is:\n",
"\\\\ # create a dataframe of the countries of interest (cof)\n",
"df_cof = df_can.loc[['Greece', 'Albania', 'Bulgaria'], years]\n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # transpose the dataframe\n",
"df_cof = df_cof.transpose() \n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # let's get the x-tick values\n",
"count, bin_edges = np.histogram(df_cof, 15)\n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # Un-stacked Histogram\n",
"df_cof.plot(kind ='hist',\n",
" figsize=(10, 6),\n",
" bins=15,\n",
" alpha=0.35,\n",
" xticks=bin_edges,\n",
" color=['coral', 'darkslateblue', 'mediumseagreen']\n",
" )\n",
"-->\n",
"\n",
"<!--\n",
"plt.title('Histogram of Immigration from Greece, Albania, and Bulgaria from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants')\n",
"-->\n",
"\n",
"<!--\n",
"plt.show()\n",
"-->"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Bar Charts (Dataframe) <a id=\"10\"></a>\n",
"\n",
"A bar plot is a way of representing data where the *length* of the bars represents the magnitude/size of the feature/variable. Bar graphs usually represent numerical and categorical variables grouped in intervals. \n",
"\n",
"To create a bar plot, we can pass one of two arguments via `kind` parameter in `plot()`:\n",
"\n",
"* `kind=bar` creates a *vertical* bar plot\n",
"* `kind=barh` creates a *horizontal* bar plot"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Vertical bar plot**\n",
"\n",
"In vertical bar graphs, the x-axis is used for labelling, and the length of bars on the y-axis corresponds to the magnitude of the variable being measured. Vertical bar graphs are particuarly useful in analyzing time series data. One disadvantage is that they lack space for text labelling at the foot of each bar. \n",
"\n",
"**Let's start off by analyzing the effect of Iceland's Financial Crisis:**\n",
"\n",
"The 2008 - 2011 Icelandic Financial Crisis was a major economic and political event in Iceland. Relative to the size of its economy, Iceland's systemic banking collapse was the largest experienced by any country in economic history. The crisis led to a severe economic depression in 2008 - 2011 and significant political unrest.\n",
"\n",
"**Question:** Let's compare the number of Icelandic immigrants (country = 'Iceland') to Canada from year 1980 to 2013. "
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"1980 17\n",
"1981 33\n",
"1982 10\n",
"1983 9\n",
"1984 13\n",
"Name: Iceland, dtype: object"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# step 1: get the data\n",
"df_iceland = df_can.loc['Iceland', years]\n",
"df_iceland.head()"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# step 2: plot data\n",
"df_iceland.plot(kind='bar', figsize=(10, 6))\n",
"\n",
"plt.xlabel('Year') # add to x-label to the plot\n",
"plt.ylabel('Number of immigrants') # add y-label to the plot\n",
"plt.title('Icelandic immigrants to Canada from 1980 to 2013') # add title to the plot\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"The bar plot above shows the total number of immigrants broken down by each year. We can clearly see the impact of the financial crisis; the number of immigrants to Canada started increasing rapidly after 2008. \n",
"\n",
"Let's annotate this on the plot using the `annotate` method of the **scripting layer** or the **pyplot interface**. We will pass in the following parameters:\n",
"- `s`: str, the text of annotation.\n",
"- `xy`: Tuple specifying the (x,y) point to annotate (in this case, end point of arrow).\n",
"- `xytext`: Tuple specifying the (x,y) point to place the text (in this case, start point of arrow).\n",
"- `xycoords`: The coordinate system that xy is given in - 'data' uses the coordinate system of the object being annotated (default).\n",
"- `arrowprops`: Takes a dictionary of properties to draw the arrow:\n",
" - `arrowstyle`: Specifies the arrow style, `'->'` is standard arrow.\n",
" - `connectionstyle`: Specifies the connection type. `arc3` is a straight line.\n",
" - `color`: Specifes color of arror.\n",
" - `lw`: Specifies the line width.\n",
"\n",
"I encourage you to read the Matplotlib documentation for more details on annotations: \n",
"http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.annotate."
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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