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April 6, 2019 21:51
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{ | |
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"<a href=\"https://cognitiveclass.ai\"><img src = \"https://ibm.box.com/shared/static/9gegpsmnsoo25ikkbl4qzlvlyjbgxs5x.png\" width = 400> </a>\n", | |
"\n", | |
"<h1 align=center><font size = 5>Area Plots, Histograms, and Bar Plots</font></h1>" | |
] | |
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"source": [ | |
"## Introduction\n", | |
"\n", | |
"In this lab, we will continue exploring the Matplotlib library and will learn how to create additional plots, namely area plots, histograms, and bar charts." | |
] | |
}, | |
{ | |
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"source": [ | |
"## Table of Contents\n", | |
"\n", | |
"<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n", | |
"\n", | |
"1. [Exploring Datasets with *pandas*](#0)<br>\n", | |
"2. [Downloading and Prepping Data](#2)<br>\n", | |
"3. [Visualizing Data using Matplotlib](#4) <br>\n", | |
"4. [Area Plots](#6) <br>\n", | |
"5. [Histograms](#8) <br>\n", | |
"6. [Bar Charts](#10) <br>\n", | |
"</div>\n", | |
"<hr>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
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} | |
}, | |
"source": [ | |
"# Exploring Datasets with *pandas* and Matplotlib<a id=\"0\"></a>\n", | |
"\n", | |
"Toolkits: The course heavily relies on [*pandas*](http://pandas.pydata.org/) and [**Numpy**](http://www.numpy.org/) for data wrangling, analysis, and visualization. The primary plotting library that we are exploring in the course is [Matplotlib](http://matplotlib.org/).\n", | |
"\n", | |
"Dataset: Immigration to Canada from 1980 to 2013 - [International migration flows to and from selected countries - The 2015 revision](http://www.un.org/en/development/desa/population/migration/data/empirical2/migrationflows.shtml) from United Nation's website.\n", | |
"\n", | |
"The dataset contains annual data on the flows of international migrants as recorded by the countries of destination. The data presents both inflows and outflows according to the place of birth, citizenship or place of previous / next residence both for foreigners and nationals. For this lesson, we will focus on the Canadian Immigration data." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
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} | |
}, | |
"source": [ | |
"# Downloading and Prepping Data <a id=\"2\"></a>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
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} | |
}, | |
"source": [ | |
"Import Primary Modules. The first thing we'll do is import two key data analysis modules: *pandas* and **Numpy**." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"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, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
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"source": [ | |
"Let's download and import our primary Canadian Immigration dataset using *pandas* `read_excel()` method. Normally, before we can do that, we would need to download a module which *pandas* requires to read in excel files. This module is **xlrd**. For your convenience, we have pre-installed this module, so you would not have to worry about that. Otherwise, you would need to run the following line of code to install the **xlrd** module:\n", | |
"```\n", | |
"!conda install -c anaconda xlrd --yes\n", | |
"```" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Download the dataset and read it into a *pandas* dataframe." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"/home/jupyterlab/conda/lib/python3.6/site-packages/pandas/util/_decorators.py:188: FutureWarning: the 'skip_footer' keyword is deprecated, use 'skipfooter' instead\n", | |
" return func(*args, **kwargs)\n" | |
] | |
}, | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Data downloaded and read into a dataframe!\n" | |
] | |
} | |
], | |
"source": [ | |
"df_can = pd.read_excel('https://ibm.box.com/shared/static/lw190pt9zpy5bd1ptyg2aw15awomz9pu.xlsx',\n", | |
" sheet_name='Canada by Citizenship',\n", | |
" skiprows=range(20),\n", | |
" skip_footer=2\n", | |
" )\n", | |
"\n", | |
"print('Data downloaded and read into a dataframe!')" | |
] | |
}, | |
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} | |
}, | |
"source": [ | |
"Let's take a look at the first five items in our dataset." | |
] | |
}, | |
{ | |
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"execution_count": 3, | |
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{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>Type</th>\n", | |
" <th>Coverage</th>\n", | |
" <th>OdName</th>\n", | |
" <th>AREA</th>\n", | |
" <th>AreaName</th>\n", | |
" <th>REG</th>\n", | |
" <th>RegName</th>\n", | |
" <th>DEV</th>\n", | |
" <th>DevName</th>\n", | |
" <th>1980</th>\n", | |
" <th>...</th>\n", | |
" <th>2004</th>\n", | |
" <th>2005</th>\n", | |
" <th>2006</th>\n", | |
" <th>2007</th>\n", | |
" <th>2008</th>\n", | |
" <th>2009</th>\n", | |
" <th>2010</th>\n", | |
" <th>2011</th>\n", | |
" <th>2012</th>\n", | |
" <th>2013</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td>Immigrants</td>\n", | |
" <td>Foreigners</td>\n", | |
" <td>Afghanistan</td>\n", | |
" <td>935</td>\n", | |
" <td>Asia</td>\n", | |
" <td>5501</td>\n", | |
" <td>Southern Asia</td>\n", | |
" <td>902</td>\n", | |
" <td>Developing regions</td>\n", | |
" <td>16</td>\n", | |
" <td>...</td>\n", | |
" <td>2978</td>\n", | |
" <td>3436</td>\n", | |
" <td>3009</td>\n", | |
" <td>2652</td>\n", | |
" <td>2111</td>\n", | |
" <td>1746</td>\n", | |
" <td>1758</td>\n", | |
" <td>2203</td>\n", | |
" <td>2635</td>\n", | |
" <td>2004</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td>Immigrants</td>\n", | |
" <td>Foreigners</td>\n", | |
" <td>Albania</td>\n", | |
" <td>908</td>\n", | |
" <td>Europe</td>\n", | |
" <td>925</td>\n", | |
" <td>Southern Europe</td>\n", | |
" <td>901</td>\n", | |
" <td>Developed regions</td>\n", | |
" <td>1</td>\n", | |
" <td>...</td>\n", | |
" <td>1450</td>\n", | |
" <td>1223</td>\n", | |
" <td>856</td>\n", | |
" <td>702</td>\n", | |
" <td>560</td>\n", | |
" <td>716</td>\n", | |
" <td>561</td>\n", | |
" <td>539</td>\n", | |
" <td>620</td>\n", | |
" <td>603</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>Immigrants</td>\n", | |
" <td>Foreigners</td>\n", | |
" <td>Algeria</td>\n", | |
" <td>903</td>\n", | |
" <td>Africa</td>\n", | |
" <td>912</td>\n", | |
" <td>Northern Africa</td>\n", | |
" <td>902</td>\n", | |
" <td>Developing regions</td>\n", | |
" <td>80</td>\n", | |
" <td>...</td>\n", | |
" <td>3616</td>\n", | |
" <td>3626</td>\n", | |
" <td>4807</td>\n", | |
" <td>3623</td>\n", | |
" <td>4005</td>\n", | |
" <td>5393</td>\n", | |
" <td>4752</td>\n", | |
" <td>4325</td>\n", | |
" <td>3774</td>\n", | |
" <td>4331</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>3</th>\n", | |
" <td>Immigrants</td>\n", | |
" <td>Foreigners</td>\n", | |
" <td>American Samoa</td>\n", | |
" <td>909</td>\n", | |
" <td>Oceania</td>\n", | |
" <td>957</td>\n", | |
" <td>Polynesia</td>\n", | |
" <td>902</td>\n", | |
" <td>Developing regions</td>\n", | |
" <td>0</td>\n", | |
" <td>...</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>1</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>4</th>\n", | |
" <td>Immigrants</td>\n", | |
" <td>Foreigners</td>\n", | |
" <td>Andorra</td>\n", | |
" <td>908</td>\n", | |
" <td>Europe</td>\n", | |
" <td>925</td>\n", | |
" <td>Southern Europe</td>\n", | |
" <td>901</td>\n", | |
" <td>Developed regions</td>\n", | |
" <td>0</td>\n", | |
" <td>...</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>1</td>\n", | |
" <td>1</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>1</td>\n", | |
" <td>1</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"<p>5 rows × 43 columns</p>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" Type Coverage OdName AREA AreaName REG \\\n", | |
"0 Immigrants Foreigners Afghanistan 935 Asia 5501 \n", | |
"1 Immigrants Foreigners Albania 908 Europe 925 \n", | |
"2 Immigrants Foreigners Algeria 903 Africa 912 \n", | |
"3 Immigrants Foreigners American Samoa 909 Oceania 957 \n", | |
"4 Immigrants Foreigners Andorra 908 Europe 925 \n", | |
"\n", | |
" RegName DEV DevName 1980 ... 2004 2005 2006 \\\n", | |
"0 Southern Asia 902 Developing regions 16 ... 2978 3436 3009 \n", | |
"1 Southern Europe 901 Developed regions 1 ... 1450 1223 856 \n", | |
"2 Northern Africa 902 Developing regions 80 ... 3616 3626 4807 \n", | |
"3 Polynesia 902 Developing regions 0 ... 0 0 1 \n", | |
"4 Southern Europe 901 Developed regions 0 ... 0 0 1 \n", | |
"\n", | |
" 2007 2008 2009 2010 2011 2012 2013 \n", | |
"0 2652 2111 1746 1758 2203 2635 2004 \n", | |
"1 702 560 716 561 539 620 603 \n", | |
"2 3623 4005 5393 4752 4325 3774 4331 \n", | |
"3 0 0 0 0 0 0 0 \n", | |
"4 1 0 0 0 0 1 1 \n", | |
"\n", | |
"[5 rows x 43 columns]" | |
] | |
}, | |
"execution_count": 3, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"df_can.head()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Let's find out how many entries there are in our dataset." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
}, | |
"scrolled": true | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"(195, 43)\n" | |
] | |
} | |
], | |
"source": [ | |
"# print the dimensions of the dataframe\n", | |
"print(df_can.shape)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Clean up data. We will make some modifications to the original dataset to make it easier to create our visualizations. Refer to `Introduction to Matplotlib and Line Plots` lab for the rational and detailed description of the changes." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"#### 1. Clean up the dataset to remove columns that are not informative to us for visualization (eg. Type, AREA, REG)." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
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"read_only": false | |
} | |
}, | |
"outputs": [ | |
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" <td>Afghanistan</td>\n", | |
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" <tr>\n", | |
" <th>1</th>\n", | |
" <td>Albania</td>\n", | |
" <td>Europe</td>\n", | |
" <td>Southern Europe</td>\n", | |
" <td>Developed regions</td>\n", | |
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" <th>2</th>\n", | |
" <td>Algeria</td>\n", | |
" <td>Africa</td>\n", | |
" <td>Northern Africa</td>\n", | |
" <td>Developing regions</td>\n", | |
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" <td>67</td>\n", | |
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" <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", | |
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" <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, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Notice how the columns Type, Coverage, AREA, REG, and DEV got removed from the dataframe." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"#### 2. Rename some of the columns so that they make sense." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
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" }\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", | |
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" <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", | |
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" <td>39</td>\n", | |
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" <td>1758</td>\n", | |
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" <td>2635</td>\n", | |
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" </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", | |
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" <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", | |
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" <td>0</td>\n", | |
" <td>0</td>\n", | |
" <td>1</td>\n", | |
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" <td>0</td>\n", | |
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" <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, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Notice how the column names now make much more sense, even to an outsider." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"#### 3. For consistency, ensure that all column labels of type string." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"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, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Notice how the above line of code returned *False* when we tested if all the column labels are of type **string**. So let's change them all to **string** type." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"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, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"#### 4. Set the country name as index - useful for quickly looking up countries using .loc method." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
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" <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>2013</th>\n", | |
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" <tr>\n", | |
" <th>Country</th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
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" <th></th>\n", | |
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" <th></th>\n", | |
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" <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", | |
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" <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", | |
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" <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", | |
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" </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, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Notice how the country names now serve as indices." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"#### 5. Add total column." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>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, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Now the dataframe has an extra column that presents the total number of immigrants from each country in the dataset from 1980 - 2013. So if we print the dimension of the data, we get:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
}, | |
"scrolled": true | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"data dimensions: (195, 38)\n" | |
] | |
} | |
], | |
"source": [ | |
"print ('data dimensions:', df_can.shape)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"So now our dataframe has 38 columns instead of 37 columns that we had before." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"['1980',\n", | |
" '1981',\n", | |
" '1982',\n", | |
" '1983',\n", | |
" '1984',\n", | |
" '1985',\n", | |
" '1986',\n", | |
" '1987',\n", | |
" '1988',\n", | |
" '1989',\n", | |
" '1990',\n", | |
" '1991',\n", | |
" '1992',\n", | |
" '1993',\n", | |
" '1994',\n", | |
" '1995',\n", | |
" '1996',\n", | |
" '1997',\n", | |
" '1998',\n", | |
" '1999',\n", | |
" '2000',\n", | |
" '2001',\n", | |
" '2002',\n", | |
" '2003',\n", | |
" '2004',\n", | |
" '2005',\n", | |
" '2006',\n", | |
" '2007',\n", | |
" '2008',\n", | |
" '2009',\n", | |
" '2010',\n", | |
" '2011',\n", | |
" '2012',\n", | |
" '2013']" | |
] | |
}, | |
"execution_count": 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, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"# Visualizing Data using Matplotlib<a id=\"4\"></a>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Import `Matplotlib` and **Numpy**." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Matplotlib version: 3.0.2\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, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"# Area Plots<a id=\"6\"></a>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"In the last module, we created a line plot that visualized the top 5 countries that contribued the most immigrants to Canada from 1980 to 2013. With a little modification to the code, we can visualize this plot as a cumulative plot, also knows as a **Stacked Line Plot** or **Area plot**." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 14, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
}, | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th>Country</th>\n", | |
" <th>India</th>\n", | |
" <th>China</th>\n", | |
" <th>United Kingdom of Great Britain and Northern Ireland</th>\n", | |
" <th>Philippines</th>\n", | |
" <th>Pakistan</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>1980</th>\n", | |
" <td>8880</td>\n", | |
" <td>5123</td>\n", | |
" <td>22045</td>\n", | |
" <td>6051</td>\n", | |
" <td>978</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1981</th>\n", | |
" <td>8670</td>\n", | |
" <td>6682</td>\n", | |
" <td>24796</td>\n", | |
" <td>5921</td>\n", | |
" <td>972</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1982</th>\n", | |
" <td>8147</td>\n", | |
" <td>3308</td>\n", | |
" <td>20620</td>\n", | |
" <td>5249</td>\n", | |
" <td>1201</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1983</th>\n", | |
" <td>7338</td>\n", | |
" <td>1863</td>\n", | |
" <td>10015</td>\n", | |
" <td>4562</td>\n", | |
" <td>900</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1984</th>\n", | |
" <td>5704</td>\n", | |
" <td>1527</td>\n", | |
" <td>10170</td>\n", | |
" <td>3801</td>\n", | |
" <td>668</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
"Country India China United Kingdom of Great Britain and Northern Ireland \\\n", | |
"1980 8880 5123 22045 \n", | |
"1981 8670 6682 24796 \n", | |
"1982 8147 3308 20620 \n", | |
"1983 7338 1863 10015 \n", | |
"1984 5704 1527 10170 \n", | |
"\n", | |
"Country Philippines Pakistan \n", | |
"1980 6051 978 \n", | |
"1981 5921 972 \n", | |
"1982 5249 1201 \n", | |
"1983 4562 900 \n", | |
"1984 3801 668 " | |
] | |
}, | |
"execution_count": 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, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Area plots are stacked by default. And to produce a stacked area plot, each column must be either all positive or all negative values (any NaN values will defaulted to 0). To produce an unstacked plot, pass `stacked=False`. " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 15, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
}, | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 1440x720 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"df_top5.index = df_top5.index.map(int) # let's change the index values of df_top5 to type integer for plotting\n", | |
"df_top5.plot(kind='area', \n", | |
" stacked=False,\n", | |
" figsize=(20, 10), # pass a tuple (x, y) size\n", | |
" )\n", | |
"\n", | |
"plt.title('Immigration Trend of Top 5 Countries')\n", | |
"plt.ylabel('Number of Immigrants')\n", | |
"plt.xlabel('Years')\n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"The unstacked plot has a default transparency (alpha value) at 0.5. We can modify this value by passing in the `alpha` parameter." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 16, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 1440x720 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"df_top5.plot(kind='area', \n", | |
" alpha=0.25, # 0-1, default value a= 0.5\n", | |
" stacked=False,\n", | |
" figsize=(20, 10),\n", | |
" )\n", | |
"\n", | |
"plt.title('Immigration Trend of Top 5 Countries')\n", | |
"plt.ylabel('Number of Immigrants')\n", | |
"plt.xlabel('Years')\n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"### Two types of plotting\n", | |
"\n", | |
"As we discussed in the video lectures, there are two styles/options of ploting with `matplotlib`. Plotting using the Artist layer and plotting using the scripting layer.\n", | |
"\n", | |
"**Option 1: Scripting layer (procedural method) - using matplotlib.pyplot as 'plt' **\n", | |
"\n", | |
"You can use `plt` i.e. `matplotlib.pyplot` and add more elements by calling different methods procedurally; for example, `plt.title(...)` to add title or `plt.xlabel(...)` to add label to the x-axis.\n", | |
"```python\n", | |
" # Option 1: This is what we have been using so far\n", | |
" df_top5.plot(kind='area', alpha=0.35, figsize=(20, 10)) \n", | |
" plt.title('Immigration trend of top 5 countries')\n", | |
" plt.ylabel('Number of immigrants')\n", | |
" plt.xlabel('Years')\n", | |
"```" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"**Option 2: Artist layer (Object oriented method) - using an `Axes` instance from Matplotlib (preferred) **\n", | |
"\n", | |
"You can use an `Axes` instance of your current plot and store it in a variable (eg. `ax`). You can add more elements by calling methods with a little change in syntax (by adding \"*set_*\" to the previous methods). For example, use `ax.set_title()` instead of `plt.title()` to add title, or `ax.set_xlabel()` instead of `plt.xlabel()` to add label to the x-axis. \n", | |
"\n", | |
"This option sometimes is more transparent and flexible to use for advanced plots (in particular when having multiple plots, as you will see later). \n", | |
"\n", | |
"In this course, we will stick to the **scripting layer**, except for some advanced visualizations where we will need to use the **artist layer** to manipulate advanced aspects of the plots." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 17, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"Text(0.5, 0, 'Years')" | |
] | |
}, | |
"execution_count": 17, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
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\n", | |
"text/plain": [ | |
"<Figure size 1440x720 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"# option 2: preferred option with more flexibility\n", | |
"ax = df_top5.plot(kind='area', alpha=0.35, figsize=(20, 10))\n", | |
"\n", | |
"ax.set_title('Immigration Trend of Top 5 Countries')\n", | |
"ax.set_ylabel('Number of Immigrants')\n", | |
"ax.set_xlabel('Years')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"**Question**: Use the scripting layer to create a stacked area plot of the 5 countries that contributed the least to immigration to Canada **from** 1980 to 2013. Use a transparency value of 0.45." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 18, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
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\n", | |
"text/plain": [ | |
"<Figure size 1440x720 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"### type your answer here\n", | |
"df_bottom5 = df_can.tail()\n", | |
"\n", | |
"df_bottom5 = df_bottom5[years].transpose()\n", | |
"df_bottom5.index = df_bottom5.index.map(int) # let's change the index values of df_top5 to type integer for plotting\n", | |
"df_bottom5.plot(kind='area',\n", | |
" alpha=0.45,\n", | |
" stacked=True,\n", | |
" figsize=(20, 10), # pass a tuple (x, y) size\n", | |
" )\n", | |
"\n", | |
"plt.title('Immigration Trend of 5 Countries Contributing the Least to Immigration')\n", | |
"plt.ylabel('Number of Immigrants')\n", | |
"plt.xlabel('Years')\n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Double-click __here__ for the solution.\n", | |
"<!-- The correct answer is:\n", | |
"\\\\ # get the 5 countries with the least contribution\n", | |
"df_least5 = df_can.tail(5)\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"\\\\ # transpose the dataframe\n", | |
"df_least5 = df_least5[years].transpose() \n", | |
"df_least5.head()\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"df_least5.index = df_least5.index.map(int) # let's change the index values of df_least5 to type integer for plotting\n", | |
"df_least5.plot(kind='area', alpha=0.45, figsize=(20, 10)) \n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"plt.title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n", | |
"plt.ylabel('Number of Immigrants')\n", | |
"plt.xlabel('Years')\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"plt.show()\n", | |
"-->" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"**Question**: Use the artist layer to create an unstacked area plot of the 5 countries that contributed the least to immigration to Canada **from** 1980 to 2013. Use a transparency value of 0.55." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 19, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"Text(0.5, 0, 'Years')" | |
] | |
}, | |
"execution_count": 19, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 1440x720 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"### type your answer here\n", | |
"ax = df_bottom5.plot(kind='area', stacked=False, alpha=0.55, figsize=(20, 10))\n", | |
"\n", | |
"ax.set_title('Immigration Trend of Least 5 Countries the Contributed to Canada Immigration')\n", | |
"ax.set_ylabel('Number of Immigrants')\n", | |
"ax.set_xlabel('Years')" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Double-click __here__ for the solution.\n", | |
"<!-- The correct answer is:\n", | |
"\\\\ # get the 5 countries with the least contribution\n", | |
"df_least5 = df_can.tail(5)\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"\\\\ # transpose the dataframe\n", | |
"df_least5 = df_least5[years].transpose() \n", | |
"df_least5.head()\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"df_least5.index = df_least5.index.map(int) # let's change the index values of df_least5 to type integer for plotting\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"ax = df_least5.plot(kind='area', alpha=0.55, stacked=False, figsize=(20, 10))\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"ax.set_title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n", | |
"ax.set_ylabel('Number of Immigrants')\n", | |
"ax.set_xlabel('Years')\n", | |
"-->" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"# Histograms<a id=\"8\"></a>\n", | |
"\n", | |
"A histogram is a way of representing the *frequency* distribution of numeric dataset. The way it works is it partitions the x-axis into *bins*, assigns each data point in our dataset to a bin, and then counts the number of data points that have been assigned to each bin. So the y-axis is the frequency or the number of data points in each bin. Note that we can change the bin size and usually one needs to tweak it so that the distribution is displayed nicely." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"**Question:** What is the frequency distribution of the number (population) of new immigrants from the various countries to Canada in 2013?" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Before we proceed with creating the histogram plot, let's first examine the data split into intervals. To do this, we will us **Numpy**'s `histrogram` method to get the bin ranges and frequency counts as follows:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 20, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"Country\n", | |
"India 33087\n", | |
"China 34129\n", | |
"United Kingdom of Great Britain and Northern Ireland 5827\n", | |
"Philippines 29544\n", | |
"Pakistan 12603\n", | |
"Name: 2013, dtype: int64" | |
] | |
}, | |
"execution_count": 20, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"# let's quickly view the 2013 data\n", | |
"df_can['2013'].head()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 21, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"[178 11 1 2 0 0 0 0 1 2]\n", | |
"[ 0. 3412.9 6825.8 10238.7 13651.6 17064.5 20477.4 23890.3 27303.2\n", | |
" 30716.1 34129. ]\n" | |
] | |
} | |
], | |
"source": [ | |
"# np.histogram returns 2 values\n", | |
"count, bin_edges = np.histogram(df_can['2013'])\n", | |
"\n", | |
"print(count) # frequency count\n", | |
"print(bin_edges) # bin ranges, default = 10 bins" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"By default, the `histrogram` method breaks up the dataset into 10 bins. The figure below summarizes the bin ranges and the frequency distribution of immigration in 2013. We can see that in 2013:\n", | |
"* 178 countries contributed between 0 to 3412.9 immigrants \n", | |
"* 11 countries contributed between 3412.9 to 6825.8 immigrants\n", | |
"* 1 country contributed between 6285.8 to 10238.7 immigrants, and so on..\n", | |
"\n", | |
"<img src=\"https://ibm.box.com/shared/static/g54s9q97mrjok0h4272o7g09cyigei0v.jpg\" align=\"center\" width=800>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"We can easily graph this distribution by passing `kind=hist` to `plot()`." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 22, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
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\n", | |
"text/plain": [ | |
"<Figure size 576x360 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"df_can['2013'].plot(kind='hist', figsize=(8, 5))\n", | |
"\n", | |
"plt.title('Histogram of Immigration from 195 Countries in 2013') # add a title to the histogram\n", | |
"plt.ylabel('Number of Countries') # add y-label\n", | |
"plt.xlabel('Number of Immigrants') # add x-label\n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"In the above plot, the x-axis represents the population range of immigrants in intervals of 3412.9. The y-axis represents the number of countries that contributed to the aforementioned population. \n", | |
"\n", | |
"Notice that the x-axis labels do not match with the bin size. This can be fixed by passing in a `xticks` keyword that contains the list of the bin sizes, as follows:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 23, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 576x360 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"# 'bin_edges' is a list of bin intervals\n", | |
"count, bin_edges = np.histogram(df_can['2013'])\n", | |
"\n", | |
"df_can['2013'].plot(kind='hist', figsize=(8, 5), xticks=bin_edges)\n", | |
"\n", | |
"plt.title('Histogram of Immigration from 195 countries in 2013') # add a title to the histogram\n", | |
"plt.ylabel('Number of Countries') # add y-label\n", | |
"plt.xlabel('Number of Immigrants') # add x-label\n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"*Side Note:* We could use `df_can['2013'].plot.hist()`, instead. In fact, throughout this lesson, using `some_data.plot(kind='type_plot', ...)` is equivalent to `some_data.plot.type_plot(...)`. That is, passing the type of the plot as argument or method behaves the same. \n", | |
"\n", | |
"See the *pandas* documentation for more info http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.plot.html." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"We can also plot multiple histograms on the same plot. For example, let's try to answer the following questions using a histogram.\n", | |
"\n", | |
"**Question**: What is the immigration distribution for Denmark, Norway, and Sweden for years 1980 - 2013?" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 24, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
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" }\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": 24, | |
"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": 25, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
}, | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.axes._subplots.AxesSubplot at 0x7fcd52230438>" | |
] | |
}, | |
"execution_count": 25, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
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\n", | |
"text/plain": [ | |
"<Figure size 432x288 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"# generate histogram\n", | |
"df_can.loc[['Denmark', 'Norway', 'Sweden'], years].plot.hist()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"That does not look right! \n", | |
"\n", | |
"Don't worry, you'll often come across situations like this when creating plots. The solution often lies in how the underlying dataset is structured.\n", | |
"\n", | |
"Instead of plotting the population frequency distribution of the population for the 3 countries, *pandas* instead plotted the population frequency distribution for the `years`.\n", | |
"\n", | |
"This can be easily fixed by first transposing the dataset, and then plotting as shown below.\n", | |
"\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 26, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
}, | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th>Country</th>\n", | |
" <th>Denmark</th>\n", | |
" <th>Norway</th>\n", | |
" <th>Sweden</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>1980</th>\n", | |
" <td>272</td>\n", | |
" <td>116</td>\n", | |
" <td>281</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1981</th>\n", | |
" <td>293</td>\n", | |
" <td>77</td>\n", | |
" <td>308</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1982</th>\n", | |
" <td>299</td>\n", | |
" <td>106</td>\n", | |
" <td>222</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1983</th>\n", | |
" <td>106</td>\n", | |
" <td>51</td>\n", | |
" <td>176</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1984</th>\n", | |
" <td>93</td>\n", | |
" <td>31</td>\n", | |
" <td>128</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
"Country Denmark Norway Sweden\n", | |
"1980 272 116 281\n", | |
"1981 293 77 308\n", | |
"1982 299 106 222\n", | |
"1983 106 51 176\n", | |
"1984 93 31 128" | |
] | |
}, | |
"execution_count": 26, | |
"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": 27, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 720x432 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"# generate histogram\n", | |
"df_t.plot(kind='hist', figsize=(10, 6))\n", | |
"\n", | |
"plt.title('Histogram of Immigration from Denmark, Norway, and Sweden from 1980 - 2013')\n", | |
"plt.ylabel('Number of Years')\n", | |
"plt.xlabel('Number of Immigrants')\n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Let's make a few modifications to improve the impact and aesthetics of the previous plot:\n", | |
"* increase the bin size to 15 by passing in `bins` parameter\n", | |
"* set transparency to 60% by passing in `alpha` paramemter\n", | |
"* label the x-axis by passing in `x-label` paramater\n", | |
"* change the colors of the plots by passing in `color` parameter" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 28, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
}, | |
"scrolled": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 720x432 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"# let's get the x-tick values\n", | |
"count, bin_edges = np.histogram(df_t, 15)\n", | |
"\n", | |
"# un-stacked histogram\n", | |
"df_t.plot(kind ='hist', \n", | |
" figsize=(10, 6),\n", | |
" bins=15,\n", | |
" alpha=0.6,\n", | |
" xticks=bin_edges,\n", | |
" color=['coral', 'darkslateblue', 'mediumseagreen']\n", | |
" )\n", | |
"\n", | |
"plt.title('Histogram of Immigration from Denmark, Norway, and Sweden from 1980 - 2013')\n", | |
"plt.ylabel('Number of Years')\n", | |
"plt.xlabel('Number of Immigrants')\n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Tip:\n", | |
"For a full listing of colors available in Matplotlib, run the following code in your python shell:\n", | |
"```python\n", | |
"import matplotlib\n", | |
"for name, hex in matplotlib.colors.cnames.items():\n", | |
" print(name, hex)\n", | |
"```" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"If we do no want the plots to overlap each other, we can stack them using the `stacked` paramemter. Let's also adjust the min and max x-axis labels to remove the extra gap on the edges of the plot. We can pass a tuple (min,max) using the `xlim` paramater, as show below." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 29, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 720x432 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"count, bin_edges = np.histogram(df_t, 15)\n", | |
"xmin = bin_edges[0] - 10 # first bin value is 31.0, adding buffer of 10 for aesthetic purposes \n", | |
"xmax = bin_edges[-1] + 10 # last bin value is 308.0, adding buffer of 10 for aesthetic purposes\n", | |
"\n", | |
"# stacked Histogram\n", | |
"df_t.plot(kind='hist',\n", | |
" figsize=(10, 6), \n", | |
" bins=15,\n", | |
" xticks=bin_edges,\n", | |
" color=['coral', 'darkslateblue', 'mediumseagreen'],\n", | |
" stacked=True,\n", | |
" xlim=(xmin, xmax)\n", | |
" )\n", | |
"\n", | |
"plt.title('Histogram of Immigration from Denmark, Norway, and Sweden from 1980 - 2013')\n", | |
"plt.ylabel('Number of Years')\n", | |
"plt.xlabel('Number of Immigrants') \n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"**Question**: Use the scripting layer to display the immigration distribution for Greece, Albania, and Bulgaria for years 1980 - 2013? Use an overlapping plot with 15 bins and a transparency value of 0.35." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 30, | |
"metadata": { | |
"button": false, | |
"collapsed": true, | |
"deletable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 720x432 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"### type your answer here\n", | |
"df_gab = df_can.loc[['Greece', 'Albania', 'Bulgaria'], years].transpose()\n", | |
"df_gab.head()\n", | |
"\n", | |
"count, bin_edges = np.histogram(df_gab, 15)\n", | |
"\n", | |
"# un-stacked histogram\n", | |
"df_gab.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" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Double-click __here__ for the solution.\n", | |
"<!-- The correct answer is:\n", | |
"\\\\ # create a dataframe of the countries of interest (cof)\n", | |
"df_cof = df_can.loc[['Greece', 'Albania', 'Bulgaria'], years]\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"\\\\ # transpose the dataframe\n", | |
"df_cof = df_cof.transpose() \n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"\\\\ # let's get the x-tick values\n", | |
"count, bin_edges = np.histogram(df_cof, 15)\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"\\\\ # Un-stacked Histogram\n", | |
"df_cof.plot(kind ='hist',\n", | |
" figsize=(10, 6),\n", | |
" bins=15,\n", | |
" alpha=0.35,\n", | |
" xticks=bin_edges,\n", | |
" color=['coral', 'darkslateblue', 'mediumseagreen']\n", | |
" )\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"plt.title('Histogram of Immigration from Greece, Albania, and Bulgaria from 1980 - 2013')\n", | |
"plt.ylabel('Number of Years')\n", | |
"plt.xlabel('Number of Immigrants')\n", | |
"-->\n", | |
"\n", | |
"<!--\n", | |
"plt.show()\n", | |
"-->" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"# Bar Charts (Dataframe) <a id=\"10\"></a>\n", | |
"\n", | |
"A bar plot is a way of representing data where the *length* of the bars represents the magnitude/size of the feature/variable. Bar graphs usually represent numerical and categorical variables grouped in intervals. \n", | |
"\n", | |
"To create a bar plot, we can pass one of two arguments via `kind` parameter in `plot()`:\n", | |
"\n", | |
"* `kind=bar` creates a *vertical* bar plot\n", | |
"* `kind=barh` creates a *horizontal* bar plot" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"**Vertical bar plot**\n", | |
"\n", | |
"In vertical bar graphs, the x-axis is used for labelling, and the length of bars on the y-axis corresponds to the magnitude of the variable being measured. Vertical bar graphs are particuarly useful in analyzing time series data. One disadvantage is that they lack space for text labelling at the foot of each bar. \n", | |
"\n", | |
"**Let's start off by analyzing the effect of Iceland's Financial Crisis:**\n", | |
"\n", | |
"The 2008 - 2011 Icelandic Financial Crisis was a major economic and political event in Iceland. Relative to the size of its economy, Iceland's systemic banking collapse was the largest experienced by any country in economic history. The crisis led to a severe economic depression in 2008 - 2011 and significant political unrest.\n", | |
"\n", | |
"**Question:** Let's compare the number of Icelandic immigrants (country = 'Iceland') to Canada from year 1980 to 2013. " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 31, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"1980 17\n", | |
"1981 33\n", | |
"1982 10\n", | |
"1983 9\n", | |
"1984 13\n", | |
"Name: Iceland, dtype: object" | |
] | |
}, | |
"execution_count": 31, | |
"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": 32, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 720x432 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"# step 2: plot data\n", | |
"df_iceland.plot(kind='bar', figsize=(10, 6))\n", | |
"\n", | |
"plt.xlabel('Year') # add to x-label to the plot\n", | |
"plt.ylabel('Number of immigrants') # add y-label to the plot\n", | |
"plt.title('Icelandic immigrants to Canada from 1980 to 2013') # add title to the plot\n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"The bar plot above shows the total number of immigrants broken down by each year. We can clearly see the impact of the financial crisis; the number of immigrants to Canada started increasing rapidly after 2008. \n", | |
"\n", | |
"Let's annotate this on the plot using the `annotate` method of the **scripting layer** or the **pyplot interface**. We will pass in the following parameters:\n", | |
"- `s`: str, the text of annotation.\n", | |
"- `xy`: Tuple specifying the (x,y) point to annotate (in this case, end point of arrow).\n", | |
"- `xytext`: Tuple specifying the (x,y) point to place the text (in this case, start point of arrow).\n", | |
"- `xycoords`: The coordinate system that xy is given in - 'data' uses the coordinate system of the object being annotated (default).\n", | |
"- `arrowprops`: Takes a dictionary of properties to draw the arrow:\n", | |
" - `arrowstyle`: Specifies the arrow style, `'->'` is standard arrow.\n", | |
" - `connectionstyle`: Specifies the connection type. `arc3` is a straight line.\n", | |
" - `color`: Specifes color of arror.\n", | |
" - `lw`: Specifies the line width.\n", | |
"\n", | |
"I encourage you to read the Matplotlib documentation for more details on annotations: \n", | |
"http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.annotate." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 33, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 720x432 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"df_iceland.plot(kind='bar', figsize=(10, 6), rot=90) # rotate the bars by 90 degrees\n", | |
"\n", | |
"plt.xlabel('Year')\n", | |
"plt.ylabel('Number of Immigrants')\n", | |
"plt.title('Icelandic Immigrants to Canada from 1980 to 2013')\n", | |
"\n", | |
"# Annotate arrow\n", | |
"plt.annotate('', # s: str. Will leave it blank for no text\n", | |
" xy=(32, 70), # place head of the arrow at point (year 2012 , pop 70)\n", | |
" xytext=(28, 20), # place base of the arrow at point (year 2008 , pop 20)\n", | |
" xycoords='data', # will use the coordinate system of the object being annotated \n", | |
" arrowprops=dict(arrowstyle='->', connectionstyle='arc3', color='blue', lw=2)\n", | |
" )\n", | |
"\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"button": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"source": [ | |
"Let's also annotate a text to go over the arrow. We will pass in the following additional parameters:\n", | |
"- `rotation`: rotation angle of text in degrees (counter clockwise)\n", | |
"- `va`: vertical alignment of text [‘center’ | ‘top’ | ‘bottom’ | ‘baseline’]\n", | |
"- `ha`: horizontal alignment of text [‘center’ | ‘right’ | ‘left’]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 34, | |
"metadata": { | |
"button": false, | |
"collapsed": false, | |
"deletable": true, | |
"editable": true, | |
"new_sheet": false, | |
"run_control": { | |
"read_only": false | |
} | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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 |
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