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Hamid264/DV0101EN-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb

Created July 20, 2020 13:05
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DV0101EN-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb
{
"cells": [
{
"cell_type": "markdown",
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"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",
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"button": false,
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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",
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},
"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
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},
"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
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},
"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": 2,
"metadata": {
"button": false,
"collapsed": 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": 3,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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,
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},
"source": [
"Let's take a look at the first five items in our dataset."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"button": false,
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"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Type</th>\n",
" <th>Coverage</th>\n",
" <th>OdName</th>\n",
" <th>AREA</th>\n",
" <th>AreaName</th>\n",
" <th>REG</th>\n",
" <th>RegName</th>\n",
" <th>DEV</th>\n",
" <th>DevName</th>\n",
" <th>1980</th>\n",
" <th>...</th>\n",
" <th>2004</th>\n",
" <th>2005</th>\n",
" <th>2006</th>\n",
" <th>2007</th>\n",
" <th>2008</th>\n",
" <th>2009</th>\n",
" <th>2010</th>\n",
" <th>2011</th>\n",
" <th>2012</th>\n",
" <th>2013</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Immigrants</td>\n",
" <td>Foreigners</td>\n",
" <td>Afghanistan</td>\n",
" <td>935</td>\n",
" <td>Asia</td>\n",
" <td>5501</td>\n",
" <td>Southern Asia</td>\n",
" <td>902</td>\n",
" <td>Developing regions</td>\n",
" <td>16</td>\n",
" <td>...</td>\n",
" <td>2978</td>\n",
" <td>3436</td>\n",
" <td>3009</td>\n",
" <td>2652</td>\n",
" <td>2111</td>\n",
" <td>1746</td>\n",
" <td>1758</td>\n",
" <td>2203</td>\n",
" <td>2635</td>\n",
" <td>2004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Immigrants</td>\n",
" <td>Foreigners</td>\n",
" <td>Albania</td>\n",
" <td>908</td>\n",
" <td>Europe</td>\n",
" <td>925</td>\n",
" <td>Southern Europe</td>\n",
" <td>901</td>\n",
" <td>Developed regions</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>1450</td>\n",
" <td>1223</td>\n",
" <td>856</td>\n",
" <td>702</td>\n",
" <td>560</td>\n",
" <td>716</td>\n",
" <td>561</td>\n",
" <td>539</td>\n",
" <td>620</td>\n",
" <td>603</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Immigrants</td>\n",
" <td>Foreigners</td>\n",
" <td>Algeria</td>\n",
" <td>903</td>\n",
" <td>Africa</td>\n",
" <td>912</td>\n",
" <td>Northern Africa</td>\n",
" <td>902</td>\n",
" <td>Developing regions</td>\n",
" <td>80</td>\n",
" <td>...</td>\n",
" <td>3616</td>\n",
" <td>3626</td>\n",
" <td>4807</td>\n",
" <td>3623</td>\n",
" <td>4005</td>\n",
" <td>5393</td>\n",
" <td>4752</td>\n",
" <td>4325</td>\n",
" <td>3774</td>\n",
" <td>4331</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Immigrants</td>\n",
" <td>Foreigners</td>\n",
" <td>American Samoa</td>\n",
" <td>909</td>\n",
" <td>Oceania</td>\n",
" <td>957</td>\n",
" <td>Polynesia</td>\n",
" <td>902</td>\n",
" <td>Developing regions</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Immigrants</td>\n",
" <td>Foreigners</td>\n",
" <td>Andorra</td>\n",
" <td>908</td>\n",
" <td>Europe</td>\n",
" <td>925</td>\n",
" <td>Southern Europe</td>\n",
" <td>901</td>\n",
" <td>Developed regions</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 43 columns</p>\n",
"</div>"
],
"text/plain": [
" Type Coverage OdName AREA AreaName REG \\\n",
"0 Immigrants Foreigners Afghanistan 935 Asia 5501 \n",
"1 Immigrants Foreigners Albania 908 Europe 925 \n",
"2 Immigrants Foreigners Algeria 903 Africa 912 \n",
"3 Immigrants Foreigners American Samoa 909 Oceania 957 \n",
"4 Immigrants Foreigners Andorra 908 Europe 925 \n",
"\n",
" RegName DEV DevName 1980 ... 2004 2005 2006 \\\n",
"0 Southern Asia 902 Developing regions 16 ... 2978 3436 3009 \n",
"1 Southern Europe 901 Developed regions 1 ... 1450 1223 856 \n",
"2 Northern Africa 902 Developing regions 80 ... 3616 3626 4807 \n",
"3 Polynesia 902 Developing regions 0 ... 0 0 1 \n",
"4 Southern Europe 901 Developed regions 0 ... 0 0 1 \n",
"\n",
" 2007 2008 2009 2010 2011 2012 2013 \n",
"0 2652 2111 1746 1758 2203 2635 2004 \n",
"1 702 560 716 561 539 620 603 \n",
"2 3623 4005 5393 4752 4325 3774 4331 \n",
"3 0 0 0 0 0 0 0 \n",
"4 1 0 0 0 0 1 1 \n",
"\n",
"[5 rows x 43 columns]"
]
},
"execution_count": 4,
"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": 5,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(195, 43)\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
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},
"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": 6,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
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"jupyter": {
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"outputs": [
{
"data": {
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"<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>2004</th>\n",
" <th>2005</th>\n",
" <th>2006</th>\n",
" <th>2007</th>\n",
" <th>2008</th>\n",
" <th>2009</th>\n",
" <th>2010</th>\n",
" <th>2011</th>\n",
" <th>2012</th>\n",
" <th>2013</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Afghanistan</td>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>16</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>47</td>\n",
" <td>71</td>\n",
" <td>340</td>\n",
" <td>...</td>\n",
" <td>2978</td>\n",
" <td>3436</td>\n",
" <td>3009</td>\n",
" <td>2652</td>\n",
" <td>2111</td>\n",
" <td>1746</td>\n",
" <td>1758</td>\n",
" <td>2203</td>\n",
" <td>2635</td>\n",
" <td>2004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Albania</td>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1450</td>\n",
" <td>1223</td>\n",
" <td>856</td>\n",
" <td>702</td>\n",
" <td>560</td>\n",
" <td>716</td>\n",
" <td>561</td>\n",
" <td>539</td>\n",
" <td>620</td>\n",
" <td>603</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Algeria</td>\n",
" <td>Africa</td>\n",
" <td>Northern Africa</td>\n",
" <td>Developing regions</td>\n",
" <td>80</td>\n",
" <td>67</td>\n",
" <td>71</td>\n",
" <td>69</td>\n",
" <td>63</td>\n",
" <td>44</td>\n",
" <td>...</td>\n",
" <td>3616</td>\n",
" <td>3626</td>\n",
" <td>4807</td>\n",
" <td>3623</td>\n",
" <td>4005</td>\n",
" <td>5393</td>\n",
" <td>4752</td>\n",
" <td>4325</td>\n",
" <td>3774</td>\n",
" <td>4331</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>American Samoa</td>\n",
" <td>Oceania</td>\n",
" <td>Polynesia</td>\n",
" <td>Developing regions</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Andorra</td>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 38 columns</p>\n",
"</div>"
],
"text/plain": [
" OdName AreaName RegName DevName 1980 1981 \\\n",
"0 Afghanistan Asia Southern Asia Developing regions 16 39 \n",
"1 Albania Europe Southern Europe Developed regions 1 0 \n",
"2 Algeria Africa Northern Africa Developing regions 80 67 \n",
"3 American Samoa Oceania Polynesia Developing regions 0 1 \n",
"4 Andorra Europe Southern Europe Developed regions 0 0 \n",
"\n",
" 1982 1983 1984 1985 ... 2004 2005 2006 2007 2008 2009 2010 \\\n",
"0 39 47 71 340 ... 2978 3436 3009 2652 2111 1746 1758 \n",
"1 0 0 0 0 ... 1450 1223 856 702 560 716 561 \n",
"2 71 69 63 44 ... 3616 3626 4807 3623 4005 5393 4752 \n",
"3 0 0 0 0 ... 0 0 1 0 0 0 0 \n",
"4 0 0 0 0 ... 0 0 1 1 0 0 0 \n",
"\n",
" 2011 2012 2013 \n",
"0 2203 2635 2004 \n",
"1 539 620 603 \n",
"2 4325 3774 4331 \n",
"3 0 0 0 \n",
"4 0 1 1 \n",
"\n",
"[5 rows x 38 columns]"
]
},
"execution_count": 6,
"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": 7,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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>Country</th>\n",
" <th>Continent</th>\n",
" <th>Region</th>\n",
" <th>DevName</th>\n",
" <th>1980</th>\n",
" <th>1981</th>\n",
" <th>1982</th>\n",
" <th>1983</th>\n",
" <th>1984</th>\n",
" <th>1985</th>\n",
" <th>...</th>\n",
" <th>2004</th>\n",
" <th>2005</th>\n",
" <th>2006</th>\n",
" <th>2007</th>\n",
" <th>2008</th>\n",
" <th>2009</th>\n",
" <th>2010</th>\n",
" <th>2011</th>\n",
" <th>2012</th>\n",
" <th>2013</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Afghanistan</td>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>16</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>47</td>\n",
" <td>71</td>\n",
" <td>340</td>\n",
" <td>...</td>\n",
" <td>2978</td>\n",
" <td>3436</td>\n",
" <td>3009</td>\n",
" <td>2652</td>\n",
" <td>2111</td>\n",
" <td>1746</td>\n",
" <td>1758</td>\n",
" <td>2203</td>\n",
" <td>2635</td>\n",
" <td>2004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Albania</td>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1450</td>\n",
" <td>1223</td>\n",
" <td>856</td>\n",
" <td>702</td>\n",
" <td>560</td>\n",
" <td>716</td>\n",
" <td>561</td>\n",
" <td>539</td>\n",
" <td>620</td>\n",
" <td>603</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Algeria</td>\n",
" <td>Africa</td>\n",
" <td>Northern Africa</td>\n",
" <td>Developing regions</td>\n",
" <td>80</td>\n",
" <td>67</td>\n",
" <td>71</td>\n",
" <td>69</td>\n",
" <td>63</td>\n",
" <td>44</td>\n",
" <td>...</td>\n",
" <td>3616</td>\n",
" <td>3626</td>\n",
" <td>4807</td>\n",
" <td>3623</td>\n",
" <td>4005</td>\n",
" <td>5393</td>\n",
" <td>4752</td>\n",
" <td>4325</td>\n",
" <td>3774</td>\n",
" <td>4331</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>American Samoa</td>\n",
" <td>Oceania</td>\n",
" <td>Polynesia</td>\n",
" <td>Developing regions</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Andorra</td>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 38 columns</p>\n",
"</div>"
],
"text/plain": [
" Country Continent Region DevName 1980 1981 \\\n",
"0 Afghanistan Asia Southern Asia Developing regions 16 39 \n",
"1 Albania Europe Southern Europe Developed regions 1 0 \n",
"2 Algeria Africa Northern Africa Developing regions 80 67 \n",
"3 American Samoa Oceania Polynesia Developing regions 0 1 \n",
"4 Andorra Europe Southern Europe Developed regions 0 0 \n",
"\n",
" 1982 1983 1984 1985 ... 2004 2005 2006 2007 2008 2009 2010 \\\n",
"0 39 47 71 340 ... 2978 3436 3009 2652 2111 1746 1758 \n",
"1 0 0 0 0 ... 1450 1223 856 702 560 716 561 \n",
"2 71 69 63 44 ... 3616 3626 4807 3623 4005 5393 4752 \n",
"3 0 0 0 0 ... 0 0 1 0 0 0 0 \n",
"4 0 0 0 0 ... 0 0 1 1 0 0 0 \n",
"\n",
" 2011 2012 2013 \n",
"0 2203 2635 2004 \n",
"1 539 620 603 \n",
"2 4325 3774 4331 \n",
"3 0 0 0 \n",
"4 0 1 1 \n",
"\n",
"[5 rows x 38 columns]"
]
},
"execution_count": 7,
"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": 8,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 8,
"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": 9,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 9,
"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": 10,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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>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>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>Afghanistan</th>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>16</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>47</td>\n",
" <td>71</td>\n",
" <td>340</td>\n",
" <td>496</td>\n",
" <td>...</td>\n",
" <td>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>Albania</th>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>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>Algeria</th>\n",
" <td>Africa</td>\n",
" <td>Northern Africa</td>\n",
" <td>Developing regions</td>\n",
" <td>80</td>\n",
" <td>67</td>\n",
" <td>71</td>\n",
" <td>69</td>\n",
" <td>63</td>\n",
" <td>44</td>\n",
" <td>69</td>\n",
" <td>...</td>\n",
" <td>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>American Samoa</th>\n",
" <td>Oceania</td>\n",
" <td>Polynesia</td>\n",
" <td>Developing regions</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>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>Andorra</th>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>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 × 37 columns</p>\n",
"</div>"
],
"text/plain": [
" Continent Region DevName 1980 1981 \\\n",
"Country \n",
"Afghanistan Asia Southern Asia Developing regions 16 39 \n",
"Albania Europe Southern Europe Developed regions 1 0 \n",
"Algeria Africa Northern Africa Developing regions 80 67 \n",
"American Samoa Oceania Polynesia Developing regions 0 1 \n",
"Andorra Europe Southern Europe Developed regions 0 0 \n",
"\n",
" 1982 1983 1984 1985 1986 ... 2004 2005 2006 2007 \\\n",
"Country ... \n",
"Afghanistan 39 47 71 340 496 ... 2978 3436 3009 2652 \n",
"Albania 0 0 0 0 1 ... 1450 1223 856 702 \n",
"Algeria 71 69 63 44 69 ... 3616 3626 4807 3623 \n",
"American Samoa 0 0 0 0 0 ... 0 0 1 0 \n",
"Andorra 0 0 0 0 2 ... 0 0 1 1 \n",
"\n",
" 2008 2009 2010 2011 2012 2013 \n",
"Country \n",
"Afghanistan 2111 1746 1758 2203 2635 2004 \n",
"Albania 560 716 561 539 620 603 \n",
"Algeria 4005 5393 4752 4325 3774 4331 \n",
"American Samoa 0 0 0 0 0 0 \n",
"Andorra 0 0 0 0 1 1 \n",
"\n",
"[5 rows x 37 columns]"
]
},
"execution_count": 10,
"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": 11,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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",
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" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Continent</th>\n",
" <th>Region</th>\n",
" <th>DevName</th>\n",
" <th>1980</th>\n",
" <th>1981</th>\n",
" <th>1982</th>\n",
" <th>1983</th>\n",
" <th>1984</th>\n",
" <th>1985</th>\n",
" <th>1986</th>\n",
" <th>...</th>\n",
" <th>2005</th>\n",
" <th>2006</th>\n",
" <th>2007</th>\n",
" <th>2008</th>\n",
" <th>2009</th>\n",
" <th>2010</th>\n",
" <th>2011</th>\n",
" <th>2012</th>\n",
" <th>2013</th>\n",
" <th>Total</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Country</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Afghanistan</th>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>16</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>47</td>\n",
" <td>71</td>\n",
" <td>340</td>\n",
" <td>496</td>\n",
" <td>...</td>\n",
" <td>3436</td>\n",
" <td>3009</td>\n",
" <td>2652</td>\n",
" <td>2111</td>\n",
" <td>1746</td>\n",
" <td>1758</td>\n",
" <td>2203</td>\n",
" <td>2635</td>\n",
" <td>2004</td>\n",
" <td>58639</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Albania</th>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>1223</td>\n",
" <td>856</td>\n",
" <td>702</td>\n",
" <td>560</td>\n",
" <td>716</td>\n",
" <td>561</td>\n",
" <td>539</td>\n",
" <td>620</td>\n",
" <td>603</td>\n",
" <td>15699</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Algeria</th>\n",
" <td>Africa</td>\n",
" <td>Northern Africa</td>\n",
" <td>Developing regions</td>\n",
" <td>80</td>\n",
" <td>67</td>\n",
" <td>71</td>\n",
" <td>69</td>\n",
" <td>63</td>\n",
" <td>44</td>\n",
" <td>69</td>\n",
" <td>...</td>\n",
" <td>3626</td>\n",
" <td>4807</td>\n",
" <td>3623</td>\n",
" <td>4005</td>\n",
" <td>5393</td>\n",
" <td>4752</td>\n",
" <td>4325</td>\n",
" <td>3774</td>\n",
" <td>4331</td>\n",
" <td>69439</td>\n",
" </tr>\n",
" <tr>\n",
" <th>American Samoa</th>\n",
" <td>Oceania</td>\n",
" <td>Polynesia</td>\n",
" <td>Developing regions</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Andorra</th>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>15</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 38 columns</p>\n",
"</div>"
],
"text/plain": [
" Continent Region DevName 1980 1981 \\\n",
"Country \n",
"Afghanistan Asia Southern Asia Developing regions 16 39 \n",
"Albania Europe Southern Europe Developed regions 1 0 \n",
"Algeria Africa Northern Africa Developing regions 80 67 \n",
"American Samoa Oceania Polynesia Developing regions 0 1 \n",
"Andorra Europe Southern Europe Developed regions 0 0 \n",
"\n",
" 1982 1983 1984 1985 1986 ... 2005 2006 2007 2008 \\\n",
"Country ... \n",
"Afghanistan 39 47 71 340 496 ... 3436 3009 2652 2111 \n",
"Albania 0 0 0 0 1 ... 1223 856 702 560 \n",
"Algeria 71 69 63 44 69 ... 3626 4807 3623 4005 \n",
"American Samoa 0 0 0 0 0 ... 0 1 0 0 \n",
"Andorra 0 0 0 0 2 ... 0 1 1 0 \n",
"\n",
" 2009 2010 2011 2012 2013 Total \n",
"Country \n",
"Afghanistan 1746 1758 2203 2635 2004 58639 \n",
"Albania 716 561 539 620 603 15699 \n",
"Algeria 5393 4752 4325 3774 4331 69439 \n",
"American Samoa 0 0 0 0 0 6 \n",
"Andorra 0 0 0 1 1 15 \n",
"\n",
"[5 rows x 38 columns]"
]
},
"execution_count": 11,
"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": 12,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"data dimensions: (195, 38)\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": 13,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 13,
"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": 14,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Matplotlib version: 3.1.1\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": 15,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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>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": 15,
"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": 16,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 720x360 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=(10, 5), # 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": 17,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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=.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": 18,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Years')"
]
},
"execution_count": 18,
"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, 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": 19,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"### type your answer here\n",
"df_least5 = df_can.tail(5)\n",
"df_least5 = df_least5[years].transpose() \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=(15, 5))\n",
"plt.title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n",
"plt.ylabel('Number of Immigrants')\n",
"plt.xlabel('Years')\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",
"\\\\ # 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": 20,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Years')"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x576 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"### type your answer here\n",
"df_least5 = df_can.tail(5)\n",
"df_least5 = df_least5[years].transpose() \n",
"df_least5.index = df_least5.index.map(int)\n",
"ax = df_least5.plot(kind='area', alpha=0.55, stacked=False, figsize=(15, 8))\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')"
]
},
{
"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": 21,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# let's quickly view the 2013 data\n",
"df_can['2013'].head()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 23,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 24,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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H8L83/NNvThsbG9StWxdHjx5VGU9UVBQ8PT1hZWUl7RWcPHlS6q9QKHD27Nnn5rl48SLu3buH5cuX45VXXkHTpk2RnZ2t1YJbQpN5eVE1a9YMFy9exIMHD6S2y5cv4/79+8997fHjx+Hk5IRly5ahY8eOaNSoUakrtst6bzxLX5Zv8+bNkZCQgIyMDKktLS0NV65cQfPmzaslgzpWVlZwc3NDQUEB/vvf/2LgwIGljmQ97a+//kK9evXU9m/bti0A4I8//iizf/PmzZGRkSEdXQOKr9aOiYmRlkXt2rUBAHfu3JGGOXfuXKU+g2ZmZpU+ytG+fXvEx8ejQYMGpXZa7O3tpeHq1KmDcePGYceOHfj666/x3XffIScnp1LTrIjY2Fj4+/tj6NCh2Lx5c6kvTV26dEFhYSEiIyOltvv37+P06dPo2rVrlaevVCrx5MmTKo9HF1jca1h0dDSWLl2K06dP4+bNm4iIiEB8fLxUnD08PGBkZISDBw8iPT1dKhTz58/Hhg0b8OWXXyIpKQlbt27F5s2bsWDBAgCAt7c33njjDQQGBuLo0aNITEzElClTkJOT89y9SQ8PD5ibm2PDhg24evUqIiIiMHPmTJ09pOR58/KiGjlyJORyOUaPHo34+HicPn0aEyZMgKWl5XOXZePGjXHv3j18/fXXuHbtGnbs2IFNmzapDOPp6QkAOHDgAO7du4fc3Nwyx6UPy/ett96Cs7Mzhg0bhri4OJw9exbDhw+Hu7s7hg0bpvXpZWVlqZwWu3nzJs6dO4ebN29Kw/z555/49ddfce3aNRw9ehSvvvoq8vLy8Omnn0rDLFmyBAcPHkRycjISEhLw8ccf46uvvsKcOXPUTrthw4YYOXIkpk2bhl27duHq1auIjY3F+vXrAQA9evRAhw4d8NZbb+HEiRO4cOECRo8ejfz8fLzzzjvSODw8PLBkyRJcunQJx48fx+zZsyv1GfT09MThw4dx584dlS9XmliwYAEuXryIUaNGISYmBikpKTh8+DBmzpyJa9euAQCmT5+OgwcP4urVq0hISMC+fftQr1491KpVq8JZKyIqKgo9e/bEgAEDMH/+fKSlpeHu3bsqp60aNWqEAQMG4J133sHRo0dx7tw5vPXWW6XedyXvj+TkZADFp9TOnTuHrKwsAMVfRIOCgnD69GncuHEDf//9N+bNm4eIiAiMHj1ap/NZWSzuNczW1hYnT57EgAED4O3tjfHjx2PkyJFYtGgRgOLzkitWrEBwcDDq1KmDAQMGAADeeecdfPLJJ/j000/RrFkzrFy5EsHBwZgwYYI07u3bt6NFixZ4/fXX0b17d7i7u+PVV1997qE4Jycn7Nq1C3/++SeaN2+O999/H5999lm5ezNVocm8vIisrKxw8OBBpKWlwcfHB6NGjcKsWbMgl8ufuw769euHjz76CAsWLEDLli3xww8/YPXq1SrD+Pj4YObMmZg6dSpcXFzUnmvUh+VraWmJP/74A+bm5vDz84O/vz+sra3x+++/6+Qe+AMHDqBNmzZo06YNAOCjjz5CmzZtsHjxYmmYnJwczJo1C02bNsXgwYPh7u6OU6dOwd3dXWWYwMBAtGzZEt26dcOhQ4ewZ88eBAYGljv97du3Y8qUKVi4cCGaNm2KQYMGISUlBUDxkbr9+/ejSZMm6Nu3L3x8fHD37l38+eef0ukAExMT7N69G+np6WjTpg0CAwOxfPnySn0GQ0JCcPbsWXh6elb4GRtNmzZFdHQ0cnNz0atXLzRr1gyTJk1CXl6edO2IEAKzZs1CixYt4Ofnh0ePHuG3337T+RMLt23bhocPH2L79u2oU6eOyr+n7dy5E927d8egQYPg6+sLpVKJP/74Q+V+/sWLF6NNmzaYNGkSAKBXr15o06YNDhw4AKD46EfJdUje3t7o1asXzp49i4MHD2LQoEE6nc/KkgldHGslvVRUVIQmTZqgf//+CAkJqek4/0o3btxA/fr1ceDAAbzxxhs1HYeIDBSfUGfAoqKipG/+Dx8+xNq1a3H9+nWMHTu2pqP9a+zatQvu7u7w9PTEjRs3MHfuXHh4eKi9kpqISBtY3A1YUVERli1bhuTkZJiamqJFixY4fPiwyq1GpFuZmZkICgrCP//8AwcHB3Tp0gV79+6Fubl5TUcjIgPGw/JEREQGhhfUERERGRgWdyIiIgPD4k5ERGRgDOqCuqef5qQNTk5OFX7oQ3XS93yA/mfU93wAM2qDvucD9D+jvucD9D+jLvK5ubmV2c49dyIiIgPD4k5ERGRgWNyJiIgMDIs7ERGRgWFxJyIiMjAs7kRERAaGxZ2IiMjAsLgTEREZGBZ3IiIiA8PiTkREZGBY3ImIiAyMQT1bXtvSBvnWdITyhUXXdAIiItJD1VLcN23ahLi4ONja2iIkJAQAsHbtWumHXh4/fgwrKyusXr0a6enpmD17tvQwfG9vb0yePLk6YhIRERmEainu3bt3R+/evREaGiq1zZ49W/p7x44dsLKykrpdXV2xevXq6ohGRERkcKrlnHuzZs0gl8vL7CeEwMmTJ9GlS5fqiEJERGTwavyc+8WLF2Fra4s6depIbenp6Zg7dy4sLS0xfPhwNG3atMzXhoeHIzw8HAAQHBwMJycnrWZL0+rYtM/ExETr86xt+p5R3/MBzKgN+p4P0P+M+p4P0P+M1Zmvxov7iRMnVPba7e3tsWnTJtSqVQvXrl3D6tWrERISonLYvkRAQAACAgKk7oyMjGrJrC8UCoXez7OTk5NeZ9T3fAAzaoO+5wP0P6O+5wP0P6Mu8pVcn/asGr0VrqioCDExMfD1/d9V6aampqhVqxYAwMvLCy4uLkhNTa2piERERC+cGi3u58+fh5ubGxwdHaW2nJwcKJVKAEBaWhpSU1Ph4uJSUxGJiIheONVyWH7dunVITEzEw4cPMXXqVAwdOhQ9evQodUgeABITE7Fnzx4YGxvDyMgIkyZNUnsxHhEREZVWLcV91qxZZbYHBgaWauvUqRM6deqk60hEREQGi4+fJSIiMjAs7kRERAaGxZ2IiMjAsLgTEREZGBZ3IiIiA8PiTkREZGBY3ImIiAwMizsREZGBYXEnIiIyMCzuREREBobFnYiIyMCwuBMRERkYFnciIiIDw+JORERkYFjciYiIDAyLOxERkYFhcSciIjIwLO5EREQGhsWdiIjIwLC4ExERGRgWdyIiIgPD4k5ERGRgWNyJiIgMDIs7ERGRgWFxJyIiMjAs7kRERAaGxZ2IiMjAmFTHRDZt2oS4uDjY2toiJCQEALBnzx5ERETAxsYGADBixAi0bdsWABAWFobIyEgYGRlh3LhxaN26dXXEJCIiMgjVUty7d++O3r17IzQ0VKW9b9++6N+/v0rb7du3ER0djTVr1iA7OxtLly7F+vXrYWTEgwxERESaqJaK2axZM8jlco2GjY2Nha+vL0xNTVG7dm24uroiOTlZxwmJiIgMR7Xsuatz6NAhREVFwcvLC6NHj4ZcLkdWVha8vb2lYRwcHJCVlVWDKYmIiF4sNVbcX3vtNQwZMgQAsHv3buzYsQPTpk2DEELjcYSHhyM8PBwAEBwcDCcnJ61mTNPq2LTPxMRE6/OsbfqeUd/zAcyoDfqeD9D/jPqeD9D/jNWZr8aKu52dnfR3z549sXLlSgCAo6MjMjMzpX5ZWVlwcHAocxwBAQEICAiQujMyMnSUVj8pFAq9n2cnJye9zqjv+QBm1AZ9zwfof0Z9zwfof0Zd5HNzcyuzvcauUsvOzpb+jomJQb169QAA7du3R3R0NAoLC5Geno7U1FQ0bNiwpmISERG9cKplz33dunVITEzEw4cPMXXqVAwdOhQJCQm4fv06ZDIZnJ2dMXnyZABAvXr10LlzZ8yZMwdGRkaYMGECr5QnIiKqgGop7rNmzSrV1qNHD7XDDx48GIMHD9ZlJCIiIoPFXWIiIiIDw+JORERkYFjciYiIDAyLOxERkYFhcSciIjIwLO5EREQGhsWdiIjIwLC4ExERGRgWdyIiIgPD4k5ERGRgWNyJiIgMDIs7ERGRgWFxJyIiMjAs7kRERAaGxZ2IiMjAsLgTEREZGBNNBrp9+zbkcjns7OyQn5+PAwcOwMjICG+88QbMzc11nZGIiIgqQKM99/Xr1+Px48cAgB07duDixYu4cuUKvvjiC52GIyIioorTaM/93r17cHNzgxACsbGxCAkJgZmZGaZPn67rfERERFRBGhV3U1NT5OXl4fbt23B0dISNjQ2KiopQWFio63xERERUQRoV9y5duuCTTz5BXl4eevfuDQBISUlB7dq1dRqOiIiIKk6j4j527Fj8/fffMDY2RosWLQAAMpkMY8aM0Wk4IiIiqjiNijsAvPzyy8jIyMCVK1fQqFEjNGjQQJe5iIiIqJI0Ku4ZGRlYv349rl+/DgDYuXMnTp06hXPnzmHq1Km6zEdEREQVpNGtcF988QXatGmDb7/9FiYmxd8HWrVqhfj4eJ2GIyIioorTqLgnJydj4MCBMDL63+BWVlbSve9ERESkPzQq7ra2trh7965K2+3bt+Hk5KSTUERERFR5Gp1zf+ONN7By5UoMHDgQSqUSx48fR1hYGAYOHKjRRDZt2oS4uDjY2toiJCQEQPF5+7Nnz8LExAQuLi6YNm0arK2tkZ6ejtmzZ8PNzQ0A4O3tjcmTJ1dy9oiIiP59NCruPXr0gFwuR0REBBwdHXH06FEMGzYMHTp00Ggi3bt3R+/evREaGiq1tWrVCm+99RaMjY2xa9cuhIWFYdSoUQAAV1dXrF69uhKzQ0RERBrfCtehQweNi/mzmjVrhvT0dJW2l19+Wfq7UaNGOHXqVKXGTURERKrUFveoqCj4+fkBACIjI9WOoEePHlUOERkZCV9fX6k7PT0dc+fOhaWlJYYPH46mTZtWeRpERET/FmqL+4kTJ6TifuzYMbUjqGpx37dvH4yNjdGtWzcAgL29PTZt2oRatWrh2rVrWL16NUJCQmBlZVXqteHh4QgPDwcABAcHa/0CvzStjk37TExM9P6iRn3PqO/5AGbUBn3PB+h/Rn3PB+h/xurMp7a4z58/HwAghMDUqVPh5OQEY2NjrU78yJEjOHv2LBYvXgyZTAag+EdqTE1NAQBeXl5wcXFBampqmU/ECwgIQEBAgNSdkZGh1Xz6TqFQ6P08Ozk56XVGfc8HMKM26Hs+QP8z6ns+QP8z6iJfycXnz3rurXAymQzvv/++VHy15dy5c/jpp5/w4YcfwtzcXGrPycmBUqkEAKSlpSE1NRUuLi5anTYREZEh0+iCuvr16yM1NRXu7u6Vmsi6deuQmJiIhw8fYurUqRg6dCjCwsKgUCiwdOlSAP+75S0xMRF79uyBsbExjIyMMGnSJMjl8kpNl4iI6N9Io+LevHlzfPrpp/D39y91vkCTc+6zZs0q1abudZ06dUKnTp00iUVERERl0Ki4X758GbVr18bFixdL9dPG1fJERESkPRoV96CgIF3nICIiIi3R6Nnyc+fOLbN93rx5Wg1DREREVadRcX/2R2OA4lvk0tL0/U5wIiKif59yD8tv3LgRQPH91CV/l7h37x7q1aunu2RERERUKeUW96fvL3/6b5lMhsaNG6Nz5866S0ZERESVUm5xf/PNNwEU34PeunXraglEREREVaPR1fKtW7fGnTt3cP36deTn56v0461wRERE+kWj4r5v3z78+OOP8PDwUHlULMDiTkREpG80Ku4HDx7Ep59+Cg8PD13nISIioirS6FY4MzOzSj9XnoiIiKqXRsV92LBh2LZtG7Kzs6FUKlX+ERERkX7R6LD8pk2bAAARERGl+u3evVu7iYiIiKhKNCruzz7AhoiIiPSXRsXd2dlZ1zmIiIhISzQq7hs2bIBMJiuz3/Tp07UaiIiIiKpGo+Lu6uqq0n3//n2cOnUK3bp100koIiIiqjyNinvJY2if1qNHD+zdu1frgYiIiKhqNLoVriz169fHxYsXtZmFiIiItECjPfcLFy6odD958gQnTpxA3bp1dRKKiIiIKk+j4r5582aVbgsLC3h4eGDmzJk6CUVERESVp1FxDw0N1XUOIiIi0hKNijsA5Obm4uzZs8jKyoKDgwPatWmBgVYAACAASURBVGsHuVyuy2xERERUCRpdUHflyhXMmDEDf/75J27cuIHw8HDMmDEDV65c0XU+IiIiqiCN9ty/+eYbTJw4EV26dJHaoqOjsX37dqxYsUJn4YiIiKjiNNpzT01NRefOnVXaOnXqhLt37+okFBEREVWeRsXd1dUV0dHRKm0nT56Ei4uLTkIRERFR5Wl0WH7s2LEIDg7Gb7/9BicnJ9y7dw+pqamYN2+ervMRERFRBWlU3Bs3bowNGzYgLi4O2dnZaNeuHdq2bavx1fKbNm1CXFwcbG1tERISAqD46vu1a9fi3r17cHZ2xuzZs6XxhYWFITIyEkZGRhg3bhxat25dydkjIiL69yn3sHxBQQFu3rwJAJDL5fDz88OAAQPg5+eHrKwsFBQUaDSR7t27Y8GCBSpt+/fvR8uWLfH555+jZcuW2L9/PwDg9u3biI6Oxpo1a/DRRx/h66+/hlKprMy8ERER/SuVW9x/+uknREZGltnvyJEjOHDggEYTadasWam9/NjYWPj7+wMA/P39ERsbK7X7+vrC1NQUtWvXhqurK5KTkzWaDhERET3nsHx0dDQWLVpUZr9+/fph6dKlGDJkSKUm/ODBA9jb2wMA7O3tkZOTAwDIysqCt7e3NJyDgwOysrLKHEd4eDjCw8MBAMHBwXBycqpUFnXStDo27TMxMdH6PGubvmfU93wAM2qDvucD9D+jvucD9D9jdeYrt7iXPI2uLOUV3aoQQmg8bEBAAAICAqTujIwMrefRZwqFQu/n2cnJSa8z6ns+gBm1Qd/zAfqfUd/zAfqfURf53Nzcymwv97C8hYWF2iAZGRkwNzevdCBbW1tkZ2cDALKzs2FjYwMAcHR0RGZmpjRceV8wiIiIqLRyi3ubNm3w/fffl9nvhx9+QNu2bSs94fbt2+Po0aMAgKNHj8LHx0dqj46ORmFhIdLT05GamoqGDRtWejpERET/NuUelh8+fDg++ugjfPDBB+jQoQPs7e2RnZ2NmJgY5OXlYdmyZRpNZN26dUhMTMTDhw8xdepUDB06FAMHDsTatWsRGRkJJycnzJkzBwBQr149dO7cGXPmzIGRkREmTJgAIyONnrVDREREeE5xt7Ozw8qVK/HLL7/g3LlzyM3NhVwuR7t27dCvXz+N73OfNWtWme2LFy8us33w4MEYPHiwRuMmIiIiVc99iI1cLsfw4cMxfPjw6shDREREVcTj3URERAaGxZ2IiMjAsLgTEREZGLXF/aOPPpL+3rt3b7WEISIioqpTW9zv3Lkj/TDML7/8Um2BiIiIqGrUXi3v4+ODmTNnonbt2igoKEBQUFCZw3388cc6C0dEREQVp7a4T5s2DZcuXUJ6ejqSk5PxyiuvVGcuIiIiqqRy73Nv0qQJmjRpAoVCge7du1dTJCIiIqqK5z7EBgB69OiBCxcuICoqCtnZ2bC3t4efnx9atGih63xERERUQRrdChcREYF169bBzs5Oesb8+vXrpd9SJyIiIv2h0Z77gQMHsHDhQtSvX19q8/X1RUhIiMrvqRMREVHN02jP/eHDh6hbt65Km5ubG3Jzc3USioiIiCpPo+LepEkT7NixA0+ePAEA5OfnY+fOnWjUqJFOwxEREVHFaXRYftKkSVi3bh3Gjh0LuVyO3NxcNGrUCDNnztR1PiIiIqogjYq7vb09Pv74Y2RmZkpXyzs6Ouo6GxEREVWCRsW9hKOjI4s6ERGRnuOvwhERERkYFnciIiID89zirlQqceHCBSgUiurIQ0RERFX03OJuZGSEVatWwcSkQqfniYiIqIZodFi+adOmuHLliq6zEBERkRZotDvu7OyMFStWoH379nB0dIRMJpP6DRs2TGfhiIiIqOI0Ku4FBQXw8fEBAGRlZek0EBEREVWNRsV92rRpus5BREREWqLxVXK3b9/GqVOn8ODBA0yYMAF37txBYWEhPDw8dJmPiIiIKkijC+pOnjyJoKAgZGVlISoqCgCQl5eHHTt26DQcERERVZxGe+579uzBokWLUL9+fZw8eRIA4OHhgevXr1dp4nfu3MHatWul7vT0dAwdOhSPHj1CREQEbGxsAAAjRoxA27ZtqzQtIiKifwuNivuDBw9KHX6XyWQqV81XhpubG1avXg2g+GE5U6ZMQYcOHXD48GH07dsX/fv3r9L4iYiI/o00Oizv5eUlHY4vceLECTRs2FBrQc6fPw9XV1c4OztrbZxERET/RhrtuY8bNw7Lli1DZGQknjx5guXLl+POnTtYuHCh1oKcOHECXbp0kboPHTqEqKgoeHl5YfTo0ZDL5VqbFhERkSGTCSGEJgM+efIEZ8+eRUZGBhwdHdGuXTtYWFhoJYRCocCUKVMQEhICOzs73L9/Xzrfvnv3bmRnZ5d5O154eDjCw8MBAMHBwSgoKNBKnhJpg3y1Oj5tc/85Ru+f+W9iYqLXGfU9H8CM2qDv+QD9z6jv+QD9z6iLfGZmZmVPS9MRmJubo0mTJsjKyoKDg4PWCjsA/PXXX/D09ISdnR0ASP8DQM+ePbFy5coyXxcQEICAgACpOyMjQ2uZXgQKhULv59nJyUmvM+p7PoAZtUHf8wH6n1Hf8wH6n1EX+dzc3Mps16i4Z2Rk4PPPP0dSUhKsra3x6NEjNGzYEO+++65WzpE/e0g+Ozsb9vb2AICYmBjUq1evytMgIiL6t9CouIeGhsLLywsLFiyAhYUF8vPz8cMPPyA0NBRLliypUoAnT54gPj4ekydPltp27dqF69evQyaTwdnZWaUfERERlU+j4n7t2jV89NFH0s++WlhYYNSoURg/fnyVA5ibm2Pbtm0qbTNmzKjyeImIiP6tNLoVztvbG8nJySptV69eRaNGjXQSioiIiCpP7Z777t27pb9dXFywYsUKtG3bFo6OjsjMzMRff/2Frl27VktIIiIi0pza4p6ZmanS3bFjRwBATk4OTE1N0aFDB63fekZERERVp7a482deiYiIXkwa3+f+5MkT3L17F/n5+SrtjRs31nooIiIiqjyNivvRo0exbds2mJiYlHoazubNm3USjIiIiCpHo+K+a9cuvPfee2jVqpWu8xAREVEVaXQrnImJCZo1a6brLERERKQFGhX3YcOGYceOHcjJydF1HiIiIqoijQ7Lu7m5Yc+ePTh06FCpfk/fD09EREQ1T6PivmHDBvj5+cHX11ftz8sRERGRftCouOfm5mLYsGGQyWS6zkNERERVpNE59+7duyMqKkrXWYiIiEgLNNpzT05Oxu+//459+/bBzs5Opd/HH3+sk2BERERUORoV9549e6Jnz566zkJERERaoFFx7969u45jEBERkbZoVNwjIyPV9uvRo4fWwhAREVHVaVTcjx07ptJ9//593L17F02aNGFxJyIi0jMaFfegoKBSbZGRkfjnn3+0HoiIiIiqRqNb4crSvXv3cg/XExERUc3QaM9dqVSqdBcUFCAqKgrW1tY6CUVERESVp1FxHzFiRKk2BwcHTJkyReuBiIiIqGo0Ku4bN25U6TY3N4eNjY1OAhEREVHVaFTcnZ2ddZ2DiIiItKTc4v68R8vKZDIsXrxYq4GIiIioasot7t26dSuzPSsrC7/99huePHmik1BERERUeeUW92cfUPPw4UOEhYUhIiICvr6+GDJkiE7DERERUcVpdM798ePHOHDgAA4dOoS2bdti5cqVcHV11UqAwMBAWFhYwMjICMbGxggODkZubi7Wrl2Le/fuwdnZGbNnz4ZcLtfK9IiIiAxducW9oKAAv/76K3755Rc0a9YMn3zyCerVq6f1EEFBQSpX3+/fvx8tW7bEwIEDsX//fuzfvx+jRo3S+nSJiIgMUblPqAsMDMQvv/yC/v37o1evXnjw4AEuXLig8k8XYmNj4e/vDwDw9/dHbGysTqZDRERkiMrdczczMwMA/PHHH2X2l8lkpe6Br4zly5cDAF599VUEBATgwYMHsLe3BwDY29sjJyenytMgIiL6tyi3uIeGhuo8wNKlS+Hg4IAHDx5g2bJlcHNz0/i14eHhCA8PBwAEBwfDyclJq9nStDo27TMxMdH6PGubvmfU93wAM2qDvucD9D+jvucD9D9jdebT6II6XXJwcAAA2NrawsfHB8nJybC1tUV2djbs7e2RnZ2t9ml4AQEBCAgIkLozMjKqJbO+UCgUej/PTk5Oep1R3/MBzKgN+p4P0P+M+p4P0P+Musinboe40r8Kpw35+fnIy8uT/o6Pj8dLL72E9u3b4+jRowCAo0ePwsfHpyZjEhERvVBqdM/9wYMH+OyzzwAARUVF6Nq1K1q3bo0GDRpg7dq1iIyMhJOTE+bMmVOTMYmIiF4oNVrcXVxcsHr16lLttWrV4mNtiYiIKqlGD8sTERGR9rG4ExERGRgWdyIiIgPD4k5ERGRgWNyJiIgMDIs7ERGRgWFxJyIiMjAs7kRERAaGxZ2IiMjAsLgTEREZGBZ3IiIiA8PiTkREZGBY3ImIiAwMizsREZGBYXEnIiIyMCzuREREBobFnYiIyMCwuBMRERkYFnciIiIDw+JORERkYFjciYiIDAyLOxERkYFhcSciIjIwLO5EREQGhsWdiIjIwLC4ExERGRgWdyIiIgPD4k5ERGRgTGpy4hkZGQgNDcX9+/chk8kQEBCAPn36YM+ePYiIiICNjQ0AYMSIEWjbtm1NRiUiInph1GhxNzY2xttvvw0vLy/k5eVh3rx5aNWqFQCgb9++6N+/f03GIyIieiHVaHG3t7eHvb09AMDS0hLu7u7IysqqyUhEREQvvBot7k9LT09HSkoKGjZsiEuXLuHQoUOIioqCl5cXRo8eDblcXuo14eHhCA8PBwAEBwfDyclJq5nStDo27TMxMdH6PGubvmfU93wAM2qDvucD9D+jvucD9D9jdeaTCSFEtUypHPn5+QgKCsLgwYPRsWNH3L9/Xzrfvnv3bmRnZ2PatGnPHc+dO3e0mqtokn6fFnAJi0ZGRkZNxyiXk5OTXmfU93wAM2qDvucD9D+jvucD9D+jLvK5ubmV2V7jV8srFAqEhISgW7du6NixIwDAzs4ORkZGMDIyQs+ePXH16tUaTklERPTiqNHiLoTAli1b4O7ujn79+knt2dnZ0t8xMTGoV69eTcQjIiJ6IdXoOffLly8jKioKL730Ej744AMAxbe9nThxAtevX4dMJoOzszMmT55ckzGJiIheKDVa3Js0aYI9e/aUauc97URERJVX4+fciYiISLtY3ImIiAwMizsREZGBYXEnIiIyMCzuREREBobFnYiIyMCwuBMRERkYFnciIiIDw+JORERkYFjciYiIDAyLOxERkYFhcSciIjIwLO5EREQGhsWdiIjIwLC4ExERGZga/T13qpq0Qb41HeH5wqJrOgER0b8O99yJiIgMDIs7ERGRgWFxJyIiMjAs7kRERAaGxZ2IiMjAsLgTEREZGBZ3IiIiA8PiTkREZGBY3ImIiAwMizsREZGBYXEnIiIyMHr9bPlz585h+/btUCqV6NmzJwYOHFjTkYiIiPSe3hZ3pVKJr7/+GgsXLoSjoyPmz5+P9u3bo27dujUdjQwIf3yHyHDo/ee5Gj/Lelvck5OT4erqChcXFwCAr68vYmNjWdxfMHr/YSMijfCz/GLR23PuWVlZcHR0lLodHR2RlZVVg4mIiIheDHq75y6EKNUmk8lUusPDwxEeHg4ACA4Ohpubm3ZD/HpGu+MjqiStv7d1QN8z6ns+QM8zcnuoFdW1jvV2z93R0RGZmZlSd2ZmJuzt7VWGCQgIQHBwMIKDg3WSYd68eToZr7boez5A/zPqez6AGbVB3/MB+p9R3/MB+p+xOvPpbXFv0KABUlNTkZ6eDoVCgejoaLRv376mYxEREek9vT0sb2xsjPHjx2P58uVQKpV45ZVXUK9evZqORUREpPeMlyxZsqSmQ6hTp04dvP766+jTpw+aNm1aIxm8vLxqZLqa0vd8gP5n1Pd8ADNqg77nA/Q/o77nA/Q/Y3Xlk4myrlwjIiKiF5bennMnIiKiytHbc+41qaYee1tQUICgoCAoFAoUFRWhU6dOGDp0qNT/wIED2LVrF7766ivY2Njg4cOHWLNmDZKTk9G9e3dMmDBBGnb58uW4f/8+ioqK0KRJE0ycOBFGRtr5Lvfo0SNs2bIFt27dgkwmwzvvvAMzMzN8+eWXKCgogLGxMSZOnIiGDRsiPj4e3333HRQKBUxMTPD222+jRYsWAACFQoGvv/4aiYmJkMlkGD58ODp16lSpTJs2bUJcXBxsbW0REhICAMjNzcXatWtx7949ODs7Y/bs2ZDL5eVmUrfc7t27h82bNyMnJwdyuRwzZsxQeQ5DZfL98MMPOHPmDGQyGWxtbTFt2jQ4ODgAAG7cuIEvvvgCeXl5kMlkWLFiBczMzLBkyRJkZ2fDzMwMALBw4ULY2tril19+QUREBIyNjWFjY4N33nkHzs7OVV6Ga9euxZ07dwAAjx8/hpWVFVavXg0ACAsLQ2RkJIyMjDBu3Di0bt0awPPX66lTp7BmzRqsWLECDRo00DhfRkYGQkNDcf/+fchkMgQEBKBPnz5q1/PTr5s9ezbefPNN9O/fH3l5eVi8eLHUPysrC926dcPYsWPxzTffICEhAUDx5/HBgwf45ptvqpxR3bpWKBTYsmULUlJSoFQq4efnh0GDBgEAoqOjsW/fPiiVSrRt2xajRo0CABQWFmLjxo24du0aatWqhVmzZqF27dpVyqduPScnJ2Pr1q3S699880106NABAHDt2jWEhoaioKAAbdq0wbhx4yCTyfDHH3/g0KFDMDIygoWFBaZMmVKhh4+p2w6qW8/Hjh3DgQMHpNffvHkTK1euRP369fH9998jKioKubm52Llzp8p0oqOjsXfvXshkMnh4eGDmzJlVyldC0+30kydPsGbNGqSlpcHIyAjt2rXDyJEjAaDK2xsAgCAVRUVFYvr06eLu3buisLBQvP/+++LWrVvVMm2lUiny8vKEEEIUFhaK+fPni8uXLwshhLh3755YtmyZeOedd8SDBw+EEELk5eWJixcvikOHDomvvvpKZVyPHj2Sxrl69Wpx/PhxreXcsGGDCA8Pl3Lm5uaKpUuXiri4OCGEEGfPnhVBQUFCCCGuXbsmMjMzhRBC3LhxQ0yePFkaz+7du8X3338vhChe7iXzVRkJCQni6tWrYs6cOVLbzp07RVhYmBBCiLCwMLFz587nZlK33EJCQsThw4eFEEKcP39efP7551XOVzItIYT49ddfxdatW4UQQigUCvHee++JlJQUIYQQOTk5oqioSAghRFBQkEhOTi41/vPnz4v8/HwhhBCHDh0Sa9asqVA+dRmf9u2334q9e/cKIYS4deuWeP/990VBQYFIS0sT06dPlzKWt14fP34sFi9eLBYsWFDmfJQnKytLXL16VRrPu+++K27duqV2PZdYvXq1CAkJET/99FOZ4507d65ISEgo1X7w4EERGhqqlYzq1vWxY8fE2rVrhRBC5Ofni2nTpom0tDSRk5Mjpk6dKi27DRs2iPj4eCGEEL///rv0+uPHj1doXavL97Sn13N+fr5QKBTSaydMmCB1z5s3T1y+fFkolUqxfPly6fP/9LzGxsaKZcuWaZxPCPXbweetZyGKP8+BgYFS9+XLl0VWVpYYNWqUynB37twRH3zwgXj48KEQQoj79+9XOZ8QFdtO5+fni/Pnz0vjWbRokbQMq7q9EUIIHpZ/xtOPvTUxMZEee1sdZDIZLCwsAABFRUUoKiqSHtzz7bffYuTIkSoP8rGwsECTJk2kvbinWVlZSeNRKBSlHgBUWY8fP8bFixfRo0cPAICJiQmsra0hk8mQl5cnDVPyTAJPT09pb7RevXooLCxEYWEhAODw4cPSUREjIyPY2NhUOlezZs1U9tYAIDY2Fv7+/gAAf39/aT2Wl0ndcrt9+zZatmwJAGjevDnOnKnYAz3KylcyLaD4W3zJtP7++2+89NJLqF+/PgCgVq1azz3q0qJFC5ibmwMAvL29K/U0x7IylhBC4OTJk+jSpQuA4mXr6+sLU1NT1K5dG66urkhOTgZQ/nrdvXs3+vfvD1NT0wrns7e3ly5GsrS0hLu7O7KystSuZwCIiYmBi4uL2j3H1NRU5OTklHnB7okTJ9C1a1etZFS3rgEgPz8fRUVFKCgogImJCaysrJCWlgY3Nzdp2bVq1QqnT58GAJw5cwbdu3cHAHTq1AkXLlwo86FfFclX4tn1bG5uDmNjYwDFRwxKcmdnZyMvLw+NGjWCTCaDn5+ftNyfntf8/PwKb3vUbQfLW88ljh8/LmUHgEaNGpV6PgoAREREoFevXtL73dbWtsr5gIptp83NzaUjhiYmJvD09JSe7VLV7Q3Aw/KllPXY26SkpGqbvlKpxIcffoi7d++iV69e8Pb2xpkzZ+Dg4CBt7DW1fPlyJCcno3Xr1pU+3P2s9PR02NjYYNOmTbhx4wa8vLwwduxYjBkzBsuXL8fOnTuhVCqxbNmyUq89ffo0PD09YWpqikePHgEo3tgnJibCxcUF48ePh52dnVZyAsCDBw+kD7a9vT1ycnLKzVSirOXm4eGB06dPo0+fPoiJiUFeXh4ePnyIWrVqVSljyWFDKysrBAUFASguODKZDMuXL0dOTg58fX0xYMAA6TWbNm2CkZEROnbsiP/7v/8rtfGMjIyUDpFry8WLF2Fra4s6deoAKP6ceHt7S/0dHByQlZVV7npNSUlBRkYG2rVrh59//rlKedLT05GSkoKGDRuqXc/5+fn46aefsGjRIpXDtk87ceIEOnfuXGoZ3rt3D+np6dLGt6oZgbLXdadOnXDmzBlMnjwZBQUFGDNmDORyOVxdXfHPP/8gPT0djo6OiImJgUKhAKC6jTI2NoaVlRUePnxY4S/Hz+YDSq9nAEhKSsLmzZtx7949zJgxA8bGxs99PPjvv/+OX3/9FQqFQuUUiKbK2g5q8nk+efIkPvjgg+eOv+QUxKJFi6BUKvHmm29W6DOjze00UHyq8+zZs+jTpw8A7WxvuOf+jLK+AWtrr1cTRkZGWL16NbZs2YKrV6/ixo0b2LdvH4YNG1bhcX300UfYunUrCgsLceHCBa3kKyoqQkpKCl577TWsWrUK5ubm2L9/P/744w+MGTMGmzdvxpgxY7BlyxaV1926dQvfffcdJk2aJI0nMzMTjRs3xsqVK9GoUaNS58R07dlMJcpabm+//TYSExMxd+5cJCYmwsHBQdqjqYoRI0Zg8+bN6Nq1K37//XcAxcvm0qVLmDFjBj755BPExMTg/PnzAIB3330XISEh+OSTT3Dp0iVERUWpjC8qKgrXrl1D//79q5ztaSdOnFDZI1K3p6huvSqVSnz77bcYPXp0lbPk5+cjJCQEY8eOVdlLfNaePXvQt29faS+rLOr2zk+cOIFOnTpV+jqVsjKWta6Tk5NhZGSErVu3YuPGjfj555+RlpYGuVyOiRMnYt26dVi8eDFq164tvd+0sY1StwyfXc9A8ZGgkmskwsLCUFBQ8NwjBb1798aGDRswcuRI/PjjjxXKBpTeDt68efO5r0lKSoKZmRleeuml5w6rVCqRmpqKoKAgzJw5E1u2bJG+mFYmX1W200VFRVi/fj1ef/116YfStLG9YXF/hiaPva0O1tbWaNasGWJjY5Geno4PPvgAgYGByMzMxIcffoj79+9rNB4zMzO0b99ea6cWHB0d4ejoKO21derUCSkpKTh69Cg6duwIAOjcubN0iBYoXoafffYZAgMD4erqCqD4ULO5ubl0cU7JeLTJ1tYW2dnZAIoPIz69Z1NWpqc9u9wcHBzw/vvvY9WqVRgxYgQAlFtYKqpr167SYVdHR0c0a9YMNjY2MDc3R5s2baRlU3I6wdLSEl27dlVZzvHx8QgLC8PcuXMrddhbnaKiIsTExMDX93+/Cvbs5yQrKwsODg5q12t+fj5u3bqFjz/+GIGBgUhKSsKqVatw9erVCmVRKBQICQlBt27dpPebuvWcnJyM7777DoGBgTh48CDCwsKkogoA169fh1KpLPO+4+jo6FJFrioZn/b0uj5+/Dhat24NExMT2NraonHjxtIyad++PT799FMsX74cbm5u0t7008u+qKgIjx8/Vns6pSL5ylrPT6tbty4sLCxw69atMreTJe/Np1X1tGbJdvDcuXPlfp6Bsr+YqOPg4AAfHx+YmJigdu3acHNzQ2pqaqXzVWU7vXXrVri6uqJv374q+aq6vWFxf0ZNPvY2JydH+vZYUFCA8+fPw9PTE1999RVCQ0MRGhoKR0dHrFy5stzD1/n5+dKHoKioCH/99Rfc3d21ktHOzg6Ojo7SYa3z58+jbt26cHBwQGJiIgDgwoULUsF89OgRgoODMWLECDRp0kQaj0wmQ7t27VReo+2f823fvj2OHj0KADh69Ch8fHzKzVTecsvJyYFSqQRQfJX4K6+8UuV8T29Mzpw5I/2gxMsvv4ybN2/iyZMnKCoqwsWLF1G3bl0UFRVJhyIVCgXOnj0rPbUxJSUFX375JebOnVuh84eaOH/+PNzc3FQOw7Zv3x7R0dEoLCxEeno6UlNT0bBhQ7Xr1crKCl9//bX0Pvb29sbcuXMrdLW8EAJbtmyBu7s7+vXrp5KlrPX8ySefSNPr06cPBg0ahN69e0uvU1cM7ty5g0ePHqFRo0YVW1DlZFS3rp2cnKRz5vn5+UhKSpLecw8ePABQfNfHoUOHpOtc2rVrhyNHjgAovvOgefPmGu+5q8sHlL2e09PTUVRUBKD4VMWdO3fg7OwMe3t7WFpa4sqVKxBCICoqStpOPj2vcXFxKof4NVHWdtDd3V3tegaK98RPnTqlcXHv0KGDdFQuJycHqamp0l5zZfJVZjsNFN8x8/jxY4wdO7bUNKq6veE592fU5GNvs7OzERoaCqVSCSEEOnfuPi9QFgAACghJREFUjHbt2pX7msDAQDx+/BgKhQKxsbFYuHAh5HI5Vq1ahcLCQiiVSrRo0QKvvvqq1nKOHz8en3/+ORQKBWrXro1p06bBx8dHun3Q1NQUU6ZMAVB87u3u3bv48ccfpcNzJbdvjRw5Ehs3bsQ333wDGxsbTJs2rdKZ1q1bh8TERDx8+BBTp07F0KFDMXDgQKxduxaRkZFwcnLCnDlzys0khFC73BITE/Gf//wHMpkMTZs2VbntsLL54uLipPPrTk5OmDx5MgBALpejb9++mD9/PmQyGdq0aYO2bdsiPz8fy5cvR1FREZRKJVq2bImAgAAAwK5du5Cfn481a9YAKC4aH374YZUz9ujRo8wiWK9ePXTu3Blz5syBkZERJkyYIB3C1uZ6fdrly5cRFRWFl156STqvOmLECLXr+XlOnjyJ+fPnl2o/fvw4fH19K3U6Tl3GyMjIMtd17969sWnTJrz33nsQQuCVV16Bh4cHAGD79u24ceMGAGDIkCHSF4IePXpg48aNmDFjBuRyOWbNmlXlfG3bti1zPV+6dAn79++HsbGxtJ5L9pgnTpyITZs2oaCgAK1bt0abNm0AFH++zp8/D2NjY8jlcgQGBlZoGarbDjZq1Ejter548SIcHR1LFehdu3bh+PHjKCgowNSpU9GjRw8MHToUL7/8Mv7++2/Mnj0bRkZGGDVqlMbns7W1nba0tMS+ffvg7u4ufVZ79+6Nnj17Vnl7A/AJdURERAaHh+WJiIgMDIs7ERGRgWFxJyIiMjAs7kRERAaGxZ2IiMjAsLgTvQBCQ0Pxww8/1Mi0hRDYtGkTxo0bV+atY9Xp2LFjZT7amIhUsbgTVUJgYCAmTZqE/Px8qS0iIgJLliypuVA6cunSJcTHx2Pz5s1YsWJFqf5HjhzBokWLqiVLt27dsHDhwmqZ1rMSEhIwderUGpk2UUWxuBNVUlFREQ4ePFjTMSqs5MlXmir5/ezyntH+Iih50hrRvwGfUEdUSf3798dPP/2EXr16wdraWqVfeno6pk+fju+//176wYclS5agW7du6NmzJ44cOYKIiAg0aNAAR44cgVwux4wZM5Camordu3ejsLAQo0aNkn7aEyh+JOXSpUuRlJQET09PTJ8+Hc7OzgCAf/75B9u2bcO1a9dgY2ODYcOGSc8IDw0NhZmZGTIyMpCYmIgPPvgArVq1UsmblZWFL7/8EpcuXYJcLseAAQMQEBCAyMj/b+/+Qpr6/ziOP9W2Ji11a5qVpI0kqchQStRN0i7MogtrCivCiwgTM7WIQOyqqJtYzTKStskStBKqm5Bu+qOBJZRCF8n0IjUwcWqZpdacv4svDpdlmd9+fZP3426HfXY+53MG73M+58N5PcBut+PxeDhw4AC7d+8mNzd31nEpLCwkMzOTxsZG+vr6SElJwWw2c+XKFdrb24mNjaW0tBS1Wu0bp4KCAm7dusXY2Bhmsxm9Xs/Vq1dxu90YjUbfG7qmxu306dPAP/G4DoeDd+/eYTQa6enpIS0tbcYYP378mMzMTLZt20ZVVRVdXV0EBAQQHx/PwYMHfedvet/7+/vZvHkzhYWFeL1ezp496xsHAKvVyuDgIDabjd7eXpRKJQaDgby8vF/5Ownxr5I7dyF+kV6vZ8OGDb8cX9rR0UF0dDQOhwODwcDFixfp7OykoqKCoqIiHA6H37T/kydP2Lt3L3a7nZiYGCoqKoB/3ol/5swZDAYDNpuN4uJi7HY7PT09fm2zs7NxOp1+79OfYrVaWbZsGVVVVRw/fpy6ujpevnxJRkYGhw4d8qW7/aiwT3n27Bnl5eVYrVaeP3/OuXPnMJvN2O12vF4vDQ0NM8bCarVSUlKC0+nk9u3bnDp1CovFQnNzs+9d9dMNDw9jsVjYt28fDoeDlStX4nK5Zvzu8uXLsdls7NmzB4Ds7Gyqqqq4cOECAwMD1NfX+7Vpbm6mrKyMyspKuru7efToESqVirKyMjQaDTU1NdTU1KDVaqmurmbnzp04nU4uXbpEcnLyT42PEL+bFHch5iE3N5eGhoZvZkv/SEREBOnp6QQGBpKSksLAwAAmkwmFQkF8fDyLFi3i7du3vu8nJCSwfv16FAoFZrMZl8uF2+3mxYsXhIeHk56eTlBQEHq9nqSkJJ4+fepru2XLFuLi4ggMDESpVPr1w+12097ezv79+1EqlcTExLB9+/YZcbJzsWPHDsLCwtBqtcTFxbF27VrWrFmDQqFg69atMxIATSYTSqWS+Ph4Fi9ejMFgIDQ01Nf+W4mBra2tREVFkZSURFBQEFlZWTOCOjQaDVlZWQQFBaFUKomMjGTTpk0oFApCQkLYtWvXjAuHrKwstFotarWaxMREXr9+/d3jnDpHw8PDqFSqXwqbEeJ3kGl5IeZh9erVJCYmcvfu3Tkn701Pb5squNOLk1Kp9Ltzn57WpVKpUKvVDA0N0d/fT0dHh1+y1MTEBGlpad9s+7WhoSHUajXBwcG+bTqdbs5xrNN9fWxffx4fH5/T96ePw/R+Tz+ugICAGbGjOp3O7/P79++prq7m1atXjI2N4fV6Z8Slfn0OBgcHv3uchw8f5ubNm5SWlhIREYHJZPphiIgQ/w9S3IWYp9zcXE6ePOkXoTm1+Gx8fNyXw/wz2c6zmZ6fPTY2xsjICBqNxpf/PtuK9dkSzjQaDSMjI4yOjvoKvNvt/mY+939JWFiYX+GdnJyctRAD1NbWAnD+/HmWLl1KS0sLDofjp/b3rTFcsWIFJSUleL1eWlpasFgs2O32v37xofj7ybS8EPMUGRlJcnKy33PkkJAQtFotTU1NeL1eHjx4QF9f37z209raSnt7Ox6Phxs3bhAbG4tOpyMxMZHe3l4aGxvxeDx4PB46Ozt58+bNT/2uTqdj3bp11NbW8vnzZ7q6unj48CFGo3Fe/f3dEhIS6O7upqWlhYmJCe7fv//DC6jR0VFUKhVLlixhcHBwTuslQkND+fDhA58+ffJta2xsZHh4mMDAQN9F3FT0rRB/kty5C/EvMJlMNDU1+W3Lz8/HZrNRV1dHRkbGvJ/HpqamUl9fj8vlQq/Xc/ToUQCCg4MpLy/H6XTidDqZnJwkOjp6Tqu2i4uLuXbtGvn5+ajVanJycmasqP+vCQkJ4dixY1RXV1NZWYnRaESv16NQKL7bJicnh8uXL5OXl0dkZCRpaWncu3fvp/a3atUqUlNTOXLkCF6vF4vFQltbG9evX2d8fJzw8HCKi4tnrGkQ4k+QPHchxILg9XopKCigqKiIjRs3/unuCPFHyfyREOKv1dbWxsePH/ny5Qt37txhcnJSVqwLgUzLCyH+Yi6Xi4qKCjweD1FRUZw4cUKmxYVApuWFEEKIBUem5YUQQogFRoq7EEIIscBIcRdCCCEWGCnuQgghxAIjxV0IIYRYYKS4CyGEEAvM/wClANpsed9mDQAAAABJRU5ErkJggg==\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",
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"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": 25,
"metadata": {
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"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": 25,
"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": 26,
"metadata": {
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},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f39c6b63908>"
]
},
"execution_count": 26,
"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": 27,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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>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": 27,
"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": 28,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 29,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": [
"# 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": 30,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 31,
"metadata": {
"button": false,
"deletable": 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": [
"### type your answer here\n",
"df_cof = df_can.loc[['Greece', 'Albania', 'Bulgaria'], years]\n",
"df_cof = df_cof.transpose()\n",
"count, bin_edges = np.histogram(df_cof, 15)\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",
"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",
"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": 32,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 32,
"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": 33,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 34,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": [
"df_iceland.plot(kind='bar', figsize=(10, 6), rot=90) # rotate the bars by 90 degrees\n",
"\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Number of Immigrants')\n",
"plt.title('Icelandic Immigrants to Canada from 1980 to 2013')\n",
"\n",
"# Annotate arrow\n",
"plt.annotate('', # s: str. Will leave it blank for no text\n",
" xy=(32, 70), # place head of the arrow at point (year 2012 , pop 70)\n",
" xytext=(28, 20), # place base of the arrow at point (year 2008 , pop 20)\n",
" xycoords='data', # will use the coordinate system of the object being annotated \n",
" arrowprops=dict(arrowstyle='->', connectionstyle='arc3', color='blue', lw=2)\n",
" )\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 also annotate a text to go over the arrow. We will pass in the following additional parameters:\n",
"- `rotation`: rotation angle of text in degrees (counter clockwise)\n",
"- `va`: vertical alignment of text [‘center’ | ‘top’ | ‘bottom’ | ‘baseline’]\n",
"- `ha`: horizontal alignment of text [‘center’ | ‘right’ | ‘left’]"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": [
"df_iceland.plot(kind='bar', figsize=(10, 6), rot=90) \n",
"\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Number of Immigrants')\n",
"plt.title('Icelandic Immigrants to Canada from 1980 to 2013')\n",
"\n",
"# Annotate arrow\n",
"plt.annotate('', # s: str. will leave it blank for no text\n",
" xy=(32, 70), # place head of the arrow at point (year 2012 , pop 70)\n",
" xytext=(28, 20), # place base of the arrow at point (year 2008 , pop 20)\n",
" xycoords='data', # will use the coordinate system of the object being annotated \n",
" arrowprops=dict(arrowstyle='->', connectionstyle='arc3', color='blue', lw=2)\n",
" )\n",
"\n",
"# Annotate Text\n",
"plt.annotate('2008 - 2011 Financial Crisis', # text to display\n",
" xy=(28, 30), # start the text at at point (year 2008 , pop 30)\n",
" rotation=72.5, # based on trial and error to match the arrow\n",
" va='bottom', # want the text to be vertically 'bottom' aligned\n",
" ha='left', # want the text to be horizontally 'left' algned.\n",
" )\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Horizontal Bar Plot**\n",
"\n",
"Sometimes it is more practical to represent the data horizontally, especially if you need more room for labelling the bars. In horizontal bar graphs, the y-axis is used for labelling, and the length of bars on the x-axis corresponds to the magnitude of the variable being measured. As you will see, there is more room on the y-axis to label categetorical variables.\n",
"\n",
"\n",
"**Question:** Using the scripting layter and the `df_can` dataset, create a *horizontal* bar plot showing the *total* number of immigrants to Canada from the top 15 countries, for the period 1980 - 2013. Label each country with the total immigrant count."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Step 1: Get the data pertaining to the top 15 countries."
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"Country\n",
"Romania 93585\n",
"Viet Nam 97146\n",
"Jamaica 106431\n",
"France 109091\n",
"Lebanon 115359\n",
"Poland 139241\n",
"Republic of Korea 142581\n",
"Sri Lanka 148358\n",
"Iran (Islamic Republic of) 175923\n",
"United States of America 241122\n",
"Pakistan 241600\n",
"Philippines 511391\n",
"United Kingdom of Great Britain and Northern Ireland 551500\n",
"China 659962\n",
"India 691904\n",
"Name: Total, dtype: int64"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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