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November 30, 2020 14:32
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| { | |
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| }, | |
| "source": [ | |
| "<center>\n", | |
| " <img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/Logos/organization_logo/organization_logo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\" />\n", | |
| "</center>\n", | |
| "\n", | |
| "# Area Plots, Histograms, and Bar Plots\n", | |
| "\n", | |
| "Estimated time needed: **30** minutes\n", | |
| "\n", | |
| "## Objectives\n", | |
| "\n", | |
| "After completing this lab you will be able to:\n", | |
| "\n", | |
| "- Create additional labs namely area plots, histogram and bar charts\n" | |
| ] | |
| }, | |
| { | |
| "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>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Exploring Datasets with _pandas_ and Matplotlib<a id=\"0\"></a>\n", | |
| "\n", | |
| "Toolkits: The course heavily relies on [_pandas_](http://pandas.pydata.org?cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ&cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ) and [**Numpy**](http://www.numpy.org?cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ&cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ) for data wrangling, analysis, and visualization. The primary plotting library that we are exploring in the course is [Matplotlib](http://matplotlib.org?cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ&cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ).\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?cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ) 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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Downloading and Prepping Data <a id=\"2\"></a>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Import Primary Modules. The first thing we'll do is import two key data analysis modules: _pandas_ and **Numpy**.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "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, | |
| "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", | |
| "```\n", | |
| "!conda install -c anaconda xlrd --yes\n", | |
| "```\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Download the dataset and read it into a _pandas_ dataframe.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "button": 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": [ | |
| "\n", | |
| "df_can = pd.read_excel('https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/Canada.xlsx',\n", | |
| " sheet_name='Canada by Citizenship',\n", | |
| " skiprows=range(20),\n", | |
| " skipfooter=2\n", | |
| " )\n", | |
| "print('Data downloaded and read into a dataframe!')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
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| } | |
| }, | |
| "source": [ | |
| "Let's take a look at the first five items in our dataset.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "button": 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>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": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df_can.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Let's find out how many entries there are in our dataset.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "button": 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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Clean up data. We will make some modifications to the original dataset to make it easier to create our visualizations. Refer to `Introduction to Matplotlib and Line Plots` lab for the rational and detailed description of the changes.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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).\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
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| " <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", | |
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| " <th>2008</th>\n", | |
| " <th>2009</th>\n", | |
| " <th>2010</th>\n", | |
| " <th>2011</th>\n", | |
| " <th>2012</th>\n", | |
| " <th>2013</th>\n", | |
| " </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", | |
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| " <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": 5, | |
| "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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Notice how the columns Type, Coverage, AREA, REG, and DEV got removed from the dataframe.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "#### 2. Rename some of the columns so that they make sense.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "button": 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": 6, | |
| "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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Notice how the column names now make much more sense, even to an outsider.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "#### 3. For consistency, ensure that all column labels of type string.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| }, | |
| "scrolled": true | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "False" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "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, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "True" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "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, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": { | |
| "button": 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", | |
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| " .dataframe tbody tr th {\n", | |
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| "</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", | |
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| " <th>1985</th>\n", | |
| " <th>1986</th>\n", | |
| " <th>...</th>\n", | |
| " <th>2004</th>\n", | |
| " <th>2005</th>\n", | |
| " <th>2006</th>\n", | |
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| " <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": 9, | |
| "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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Notice how the country names now serve as indices.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "#### 5. Add total column.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": { | |
| "button": 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>2005</th>\n", | |
| " <th>2006</th>\n", | |
| " <th>2007</th>\n", | |
| " <th>2008</th>\n", | |
| " <th>2009</th>\n", | |
| " <th>2010</th>\n", | |
| " <th>2011</th>\n", | |
| " <th>2012</th>\n", | |
| " <th>2013</th>\n", | |
| " <th>Total</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Country</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>Afghanistan</th>\n", | |
| " <td>Asia</td>\n", | |
| " <td>Southern Asia</td>\n", | |
| " <td>Developing regions</td>\n", | |
| " <td>16</td>\n", | |
| " <td>39</td>\n", | |
| " <td>39</td>\n", | |
| " <td>47</td>\n", | |
| " <td>71</td>\n", | |
| " <td>340</td>\n", | |
| " <td>496</td>\n", | |
| " <td>...</td>\n", | |
| " <td>3436</td>\n", | |
| " <td>3009</td>\n", | |
| " <td>2652</td>\n", | |
| " <td>2111</td>\n", | |
| " <td>1746</td>\n", | |
| " <td>1758</td>\n", | |
| " <td>2203</td>\n", | |
| " <td>2635</td>\n", | |
| " <td>2004</td>\n", | |
| " <td>58639</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Albania</th>\n", | |
| " <td>Europe</td>\n", | |
| " <td>Southern Europe</td>\n", | |
| " <td>Developed regions</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1223</td>\n", | |
| " <td>856</td>\n", | |
| " <td>702</td>\n", | |
| " <td>560</td>\n", | |
| " <td>716</td>\n", | |
| " <td>561</td>\n", | |
| " <td>539</td>\n", | |
| " <td>620</td>\n", | |
| " <td>603</td>\n", | |
| " <td>15699</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Algeria</th>\n", | |
| " <td>Africa</td>\n", | |
| " <td>Northern Africa</td>\n", | |
| " <td>Developing regions</td>\n", | |
| " <td>80</td>\n", | |
| " <td>67</td>\n", | |
| " <td>71</td>\n", | |
| " <td>69</td>\n", | |
| " <td>63</td>\n", | |
| " <td>44</td>\n", | |
| " <td>69</td>\n", | |
| " <td>...</td>\n", | |
| " <td>3626</td>\n", | |
| " <td>4807</td>\n", | |
| " <td>3623</td>\n", | |
| " <td>4005</td>\n", | |
| " <td>5393</td>\n", | |
| " <td>4752</td>\n", | |
| " <td>4325</td>\n", | |
| " <td>3774</td>\n", | |
| " <td>4331</td>\n", | |
| " <td>69439</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>American Samoa</th>\n", | |
| " <td>Oceania</td>\n", | |
| " <td>Polynesia</td>\n", | |
| " <td>Developing regions</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Andorra</th>\n", | |
| " <td>Europe</td>\n", | |
| " <td>Southern Europe</td>\n", | |
| " <td>Developed regions</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>1</td>\n", | |
| " <td>15</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>5 rows × 38 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " Continent Region DevName 1980 1981 \\\n", | |
| "Country \n", | |
| "Afghanistan Asia Southern Asia Developing regions 16 39 \n", | |
| "Albania Europe Southern Europe Developed regions 1 0 \n", | |
| "Algeria Africa Northern Africa Developing regions 80 67 \n", | |
| "American Samoa Oceania Polynesia Developing regions 0 1 \n", | |
| "Andorra Europe Southern Europe Developed regions 0 0 \n", | |
| "\n", | |
| " 1982 1983 1984 1985 1986 ... 2005 2006 2007 2008 \\\n", | |
| "Country ... \n", | |
| "Afghanistan 39 47 71 340 496 ... 3436 3009 2652 2111 \n", | |
| "Albania 0 0 0 0 1 ... 1223 856 702 560 \n", | |
| "Algeria 71 69 63 44 69 ... 3626 4807 3623 4005 \n", | |
| "American Samoa 0 0 0 0 0 ... 0 1 0 0 \n", | |
| "Andorra 0 0 0 0 2 ... 0 1 1 0 \n", | |
| "\n", | |
| " 2009 2010 2011 2012 2013 Total \n", | |
| "Country \n", | |
| "Afghanistan 1746 1758 2203 2635 2004 58639 \n", | |
| "Albania 716 561 539 620 603 15699 \n", | |
| "Algeria 5393 4752 4325 3774 4331 69439 \n", | |
| "American Samoa 0 0 0 0 0 6 \n", | |
| "Andorra 0 0 0 1 1 15 \n", | |
| "\n", | |
| "[5 rows x 38 columns]" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "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, | |
| "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:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": { | |
| "button": 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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "So now our dataframe has 38 columns instead of 37 columns that we had before.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": { | |
| "button": 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": 12, | |
| "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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Visualizing Data using Matplotlib<a id=\"4\"></a>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Import `Matplotlib` and **Numpy**.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Matplotlib version: 3.3.2\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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Area Plots<a id=\"6\"></a>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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**.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": { | |
| "button": 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": 14, | |
| "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, | |
| "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`. \n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": { | |
| "button": 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.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=True,\n", | |
| " figsize=(20, 10), # pass a tuple (x, y) size\n", | |
| " )\n", | |
| "\n", | |
| "plt.title('Immigration Trend of Top 5 Countries')\n", | |
| "plt.ylabel('Number of Immigrants')\n", | |
| "plt.xlabel('Years')\n", | |
| "\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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| |
| "text/plain": [ | |
| "<Figure size 1440x720 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "df_top5.plot(kind='area', \n", | |
| " alpha=0.25, # 0-1, default value a= 0.5\n", | |
| " stacked=False,\n", | |
| " figsize=(20, 10),\n", | |
| " )\n", | |
| "\n", | |
| "plt.title('Immigration Trend of Top 5 Countries')\n", | |
| "plt.ylabel('Number of Immigrants')\n", | |
| "plt.xlabel('Years')\n", | |
| "\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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", | |
| "\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", | |
| "```\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Text(0.5, 0, 'Years')" | |
| ] | |
| }, | |
| "execution_count": 17, | |
| "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, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "### type your answer here\n", | |
| "df_can.sort_values(['Total'], ascending=True, axis=0, inplace=True)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df_least = df_can.head(5)\n", | |
| "\n", | |
| "df_least= df_least[years].transpose()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "metadata": {}, | |
| "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 1440x720 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "df_least.index = df_least.index.map(int)\n", | |
| "bx = df_least.plot(kind='area', alpha = 0.45, figsize = (20,10))\n", | |
| "bx.set_title('5 least contributet countries')\n", | |
| "bx.set_ylabel('People')\n", | |
| "bx.set_xlabel('Years')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "<details><summary>Click here for a sample python solution</summary>\n", | |
| "\n", | |
| "```python\n", | |
| " #The correct answer is:\n", | |
| " # get the 5 countries with the least contribution\n", | |
| " df_least5 = df_can.tail(5)\n", | |
| " \n", | |
| " # transpose the dataframe\n", | |
| " df_least5 = df_least5[years].transpose() \n", | |
| " df_least5.head()\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", | |
| " plt.title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n", | |
| " plt.ylabel('Number of Immigrants')\n", | |
| " plt.xlabel('Years')\n", | |
| "\n", | |
| " plt.show()\n", | |
| " \n", | |
| "```\n", | |
| "\n", | |
| "</details>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 21, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Text(0.5, 0, 'Years')" | |
| ] | |
| }, | |
| "execution_count": 21, | |
| "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": [ | |
| "### type your answer here\n", | |
| "bx = df_least.plot(kind='area',stacked=False, alpha = 0.55, figsize = (20,10))\n", | |
| "bx.set_title('5 least contributet countries')\n", | |
| "bx.set_ylabel('People')\n", | |
| "bx.set_xlabel('Years')\n", | |
| "\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "<details><summary>Click here for a sample python solution</summary>\n", | |
| "\n", | |
| "```python\n", | |
| " #The correct answer is:\n", | |
| " \n", | |
| " # get the 5 countries with the least contribution\n", | |
| " df_least5 = df_can.tail(5)\n", | |
| "\n", | |
| " # transpose the dataframe\n", | |
| " df_least5 = df_least5[years].transpose() \n", | |
| " \n", | |
| " df_least5.head()\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", | |
| " ax = df_least5.plot(kind='area', alpha=0.55, stacked=False, figsize=(20, 10))\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", | |
| "\n", | |
| " \n", | |
| "```\n", | |
| "\n", | |
| "</details>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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?\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 22, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Country\n", | |
| "Palau 0\n", | |
| "Western Sahara 0\n", | |
| "Marshall Islands 0\n", | |
| "New Caledonia 2\n", | |
| "San Marino 0\n", | |
| "Name: 2013, dtype: int64" | |
| ] | |
| }, | |
| "execution_count": 22, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# let's quickly view the 2013 data\n", | |
| "df_can['2013'].head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 23, | |
| "metadata": { | |
| "button": 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, | |
| "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", | |
| "\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>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "We can easily graph this distribution by passing `kind=hist` to `plot()`.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 24, | |
| "metadata": { | |
| "button": 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, | |
| "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:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 25, | |
| "metadata": { | |
| "button": 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": [ | |
| "# '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, | |
| "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](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.plot.html?cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ&cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ&cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ&cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ).\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "We can also plot multiple histograms on the same plot. For example, let's try to answer the following questions using a histogram.\n", | |
| "\n", | |
| "**Question**: What is the immigration distribution for Denmark, Norway, and Sweden for years 1980 - 2013?\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 26, | |
| "metadata": { | |
| "button": 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>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": 26, | |
| "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": 27, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<AxesSubplot:ylabel='Frequency'>" | |
| ] | |
| }, | |
| "execution_count": 27, | |
| "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, | |
| "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" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 28, | |
| "metadata": { | |
| "button": 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": 28, | |
| "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": 29, | |
| "metadata": { | |
| "button": 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, | |
| "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", | |
| "\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\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 30, | |
| "metadata": { | |
| "button": 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, | |
| "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", | |
| "\n", | |
| "```python\n", | |
| "import matplotlib\n", | |
| "for name, hex in matplotlib.colors.cnames.items():\n", | |
| " print(name, hex)\n", | |
| "```\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 31, | |
| "metadata": { | |
| "button": 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, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 32, | |
| "metadata": { | |
| "button": 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": [ | |
| "### type your answer here\n", | |
| "df_ussr1 = df_can.loc[['Greece', 'Albania', 'Bulgaria'], years]\n", | |
| "df_gab = df_ussr1.transpose()\n", | |
| "count, bin_edges = np.histogram(df_gab, bins=15)\n", | |
| "\n", | |
| "df_gab.plot(kind = 'hist', \n", | |
| "figsize = (20,10), \n", | |
| "bins = 15, \n", | |
| "alpha = 0.6, \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", | |
| "\n", | |
| "plt.show()\n", | |
| "\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 33, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>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>Greece</th>\n", | |
| " <td>1065</td>\n", | |
| " <td>953</td>\n", | |
| " <td>897</td>\n", | |
| " <td>633</td>\n", | |
| " <td>580</td>\n", | |
| " <td>584</td>\n", | |
| " <td>547</td>\n", | |
| " <td>765</td>\n", | |
| " <td>564</td>\n", | |
| " <td>773</td>\n", | |
| " <td>...</td>\n", | |
| " <td>120</td>\n", | |
| " <td>100</td>\n", | |
| " <td>74</td>\n", | |
| " <td>110</td>\n", | |
| " <td>107</td>\n", | |
| " <td>119</td>\n", | |
| " <td>101</td>\n", | |
| " <td>102</td>\n", | |
| " <td>146</td>\n", | |
| " <td>298</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Albania</th>\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>2</td>\n", | |
| " <td>2</td>\n", | |
| " <td>3</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>Bulgaria</th>\n", | |
| " <td>24</td>\n", | |
| " <td>20</td>\n", | |
| " <td>12</td>\n", | |
| " <td>33</td>\n", | |
| " <td>11</td>\n", | |
| " <td>24</td>\n", | |
| " <td>33</td>\n", | |
| " <td>52</td>\n", | |
| " <td>43</td>\n", | |
| " <td>85</td>\n", | |
| " <td>...</td>\n", | |
| " <td>2022</td>\n", | |
| " <td>1738</td>\n", | |
| " <td>1419</td>\n", | |
| " <td>1172</td>\n", | |
| " <td>994</td>\n", | |
| " <td>784</td>\n", | |
| " <td>556</td>\n", | |
| " <td>365</td>\n", | |
| " <td>451</td>\n", | |
| " <td>512</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", | |
| "Greece 1065 953 897 633 580 584 547 765 564 773 ... \n", | |
| "Albania 1 0 0 0 0 0 1 2 2 3 ... \n", | |
| "Bulgaria 24 20 12 33 11 24 33 52 43 85 ... \n", | |
| "\n", | |
| " 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 \n", | |
| "Country \n", | |
| "Greece 120 100 74 110 107 119 101 102 146 298 \n", | |
| "Albania 1450 1223 856 702 560 716 561 539 620 603 \n", | |
| "Bulgaria 2022 1738 1419 1172 994 784 556 365 451 512 \n", | |
| "\n", | |
| "[3 rows x 34 columns]" | |
| ] | |
| }, | |
| "execution_count": 33, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df_can.loc[['Greece', 'Albania', 'Bulgaria'], years]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "<details><summary>Click here for a sample python solution</summary>\n", | |
| "\n", | |
| "```python\n", | |
| " #The correct answer is:\n", | |
| " \n", | |
| " # create a dataframe of the countries of interest (cof)\n", | |
| " df_cof = df_can.loc[['Greece', 'Albania', 'Bulgaria'], years]\n", | |
| "\n", | |
| " # transpose the dataframe\n", | |
| " df_cof = df_cof.transpose() \n", | |
| "\n", | |
| " # let's get the x-tick values\n", | |
| " count, bin_edges = np.histogram(df_cof, 15)\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", | |
| " plt.title('Histogram of Immigration from Greece, Albania, and Bulgaria from 1980 - 2013')\n", | |
| " plt.ylabel('Number of Years')\n", | |
| " plt.xlabel('Number of Immigrants')\n", | |
| "\n", | |
| " plt.show()\n", | |
| "\n", | |
| " \n", | |
| "```\n", | |
| "\n", | |
| "</details>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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. \n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 34, | |
| "metadata": { | |
| "button": 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": 34, | |
| "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": 35, | |
| "metadata": { | |
| "button": 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": "d |
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