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| { | |
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| "source": [ | |
| "<a href=\"https://cognitiveclass.ai\"><img src = \"https://ibm.box.com/shared/static/9gegpsmnsoo25ikkbl4qzlvlyjbgxs5x.png\" width = 400> </a>\n", | |
| "\n", | |
| "<h1 align=center><font size = 5>Waffle Charts, Word Clouds, and Regression Plots</font></h1>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
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| }, | |
| "source": [ | |
| "## Introduction\n", | |
| "\n", | |
| "In this lab, we will learn how to create word clouds and waffle charts. Furthermore, we will start learning about additional visualization libraries that are based on Matplotlib, namely the library *seaborn*, and we will learn how to create regression plots using the *seaborn* library." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
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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 *p*andas](#0)<br>\n", | |
| "2. [Downloading and Prepping Data](#2)<br>\n", | |
| "3. [Visualizing Data using Matplotlib](#4) <br>\n", | |
| "4. [Waffle Charts](#6) <br>\n", | |
| "5. [Word Clouds](#8) <br>\n", | |
| "7. [Regression Plots](#10) <br> \n", | |
| "</div>\n", | |
| "<hr>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
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| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Exploring Datasets with *pandas* and Matplotlib<a id=\"0\"></a>\n", | |
| "\n", | |
| "Toolkits: The course heavily relies on [*pandas*](http://pandas.pydata.org/) and [**Numpy**](http://www.numpy.org/) for data wrangling, analysis, and visualization. The primary plotting library we will explore 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. In this lab, we will focus on the Canadian Immigration data." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
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| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Downloading and Prepping Data <a id=\"2\"></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
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| } | |
| }, | |
| "source": [ | |
| "Import Primary Modules:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "button": 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\n", | |
| "from PIL import Image # converting images into arrays" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Let's download and import our primary Canadian Immigration dataset using *pandas* `read_excel()` method. Normally, before we can do that, we would need to download a module which *pandas* requires to read in excel files. This module is **xlrd**. For your convenience, we have pre-installed this module, so you would not have to worry about that. Otherwise, you would need to run the following line of code to install the **xlrd** module:\n", | |
| "```\n", | |
| "!conda install -c anaconda xlrd --yes\n", | |
| "```" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Download the dataset and read it into a *pandas* dataframe:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Data downloaded and read into a dataframe!\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "df_can = pd.read_excel('https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DV0101EN/labs/Data_Files/Canada.xlsx',\n", | |
| " sheet_name='Canada by Citizenship',\n", | |
| " skiprows=range(20),\n", | |
| " skipfooter=2)\n", | |
| "\n", | |
| "print('Data downloaded and read into a dataframe!')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Let's take a look at the first five items in our dataset" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>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, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "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* and *Area Plots, Histograms, and Bar Plots* for a detailed description of this preprocessing." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "data dimensions: (195, 38)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# clean up the dataset to remove unnecessary columns (eg. REG) \n", | |
| "df_can.drop(['AREA','REG','DEV','Type','Coverage'], axis = 1, inplace = True)\n", | |
| "\n", | |
| "# let's rename the columns so that they make sense\n", | |
| "df_can.rename (columns = {'OdName':'Country', 'AreaName':'Continent','RegName':'Region'}, inplace = True)\n", | |
| "\n", | |
| "# for sake of consistency, let's also make all column labels of type string\n", | |
| "df_can.columns = list(map(str, df_can.columns))\n", | |
| "\n", | |
| "# set the country name as index - useful for quickly looking up countries using .loc method\n", | |
| "df_can.set_index('Country', inplace = True)\n", | |
| "\n", | |
| "# add total column\n", | |
| "df_can['Total'] = df_can.sum (axis = 1)\n", | |
| "\n", | |
| "# years that we will be using in this lesson - useful for plotting later on\n", | |
| "years = list(map(str, range(1980, 2014)))\n", | |
| "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": [ | |
| "# 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`:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Matplotlib version: 3.1.1\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%matplotlib inline\n", | |
| "\n", | |
| "import matplotlib as mpl\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "import matplotlib.patches as mpatches # needed for waffle Charts\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": [ | |
| "# Waffle Charts <a id=\"6\"></a>\n", | |
| "\n", | |
| "\n", | |
| "A `waffle chart` is an interesting visualization that is normally created to display progress toward goals. It is commonly an effective option when you are trying to add interesting visualization features to a visual that consists mainly of cells, such as an Excel dashboard." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Let's revisit the previous case study about Denmark, Norway, and Sweden." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "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>Denmark</th>\n", | |
| " <td>Europe</td>\n", | |
| " <td>Northern Europe</td>\n", | |
| " <td>Developed regions</td>\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>...</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", | |
| " <td>3901</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Norway</th>\n", | |
| " <td>Europe</td>\n", | |
| " <td>Northern Europe</td>\n", | |
| " <td>Developed regions</td>\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>...</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", | |
| " <td>2327</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sweden</th>\n", | |
| " <td>Europe</td>\n", | |
| " <td>Northern Europe</td>\n", | |
| " <td>Developed regions</td>\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>...</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", | |
| " <td>5866</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>3 rows × 38 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " Continent Region DevName 1980 1981 1982 1983 \\\n", | |
| "Country \n", | |
| "Denmark Europe Northern Europe Developed regions 272 293 299 106 \n", | |
| "Norway Europe Northern Europe Developed regions 116 77 106 51 \n", | |
| "Sweden Europe Northern Europe Developed regions 281 308 222 176 \n", | |
| "\n", | |
| " 1984 1985 1986 ... 2005 2006 2007 2008 2009 2010 2011 \\\n", | |
| "Country ... \n", | |
| "Denmark 93 73 93 ... 62 101 97 108 81 92 93 \n", | |
| "Norway 31 54 56 ... 57 53 73 66 75 46 49 \n", | |
| "Sweden 128 158 187 ... 205 139 193 165 167 159 134 \n", | |
| "\n", | |
| " 2012 2013 Total \n", | |
| "Country \n", | |
| "Denmark 94 81 3901 \n", | |
| "Norway 53 59 2327 \n", | |
| "Sweden 140 140 5866 \n", | |
| "\n", | |
| "[3 rows x 38 columns]" | |
| ] | |
| }, | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# let's create a new dataframe for these three countries \n", | |
| "df_dsn = df_can.loc[['Denmark', 'Norway', 'Sweden'], :]\n", | |
| "\n", | |
| "# let's take a look at our dataframe\n", | |
| "df_dsn" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Unfortunately, unlike R, `waffle` charts are not built into any of the Python visualization libraries. Therefore, we will learn how to create them from scratch." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "**Step 1.** The first step into creating a waffle chart is determing the proportion of each category with respect to the total." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Denmark: 0.32255663965602777\n", | |
| "Norway: 0.1924094592359848\n", | |
| "Sweden: 0.48503390110798744\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# compute the proportion of each category with respect to the total\n", | |
| "total_values = sum(df_dsn['Total'])\n", | |
| "category_proportions = [(float(value) / total_values) for value in df_dsn['Total']]\n", | |
| "\n", | |
| "# print out proportions\n", | |
| "for i, proportion in enumerate(category_proportions):\n", | |
| " print (df_dsn.index.values[i] + ': ' + str(proportion))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "**Step 2.** The second step is defining the overall size of the `waffle` chart." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Total number of tiles is 400\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "width = 40 # width of chart\n", | |
| "height = 10 # height of chart\n", | |
| "\n", | |
| "total_num_tiles = width * height # total number of tiles\n", | |
| "\n", | |
| "print ('Total number of tiles is ', total_num_tiles)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "**Step 3.** The third step is using the proportion of each category to determe it respective number of tiles" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Denmark: 129\n", | |
| "Norway: 77\n", | |
| "Sweden: 194\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# compute the number of tiles for each catagory\n", | |
| "tiles_per_category = [round(proportion * total_num_tiles) for proportion in category_proportions]\n", | |
| "\n", | |
| "# print out number of tiles per category\n", | |
| "for i, tiles in enumerate(tiles_per_category):\n", | |
| " print (df_dsn.index.values[i] + ': ' + str(tiles))\n", | |
| " \n", | |
| "#OR - Using list comprehension\n", | |
| "#[print (df_dsn.index.values[i] + ': ' + str(tiles)) for i, tiles in enumerate(tiles_per_category)]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Based on the calculated proportions, Denmark will occupy 129 tiles of the `waffle` chart, Norway will occupy 77 tiles, and Sweden will occupy 194 tiles." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "**Step 4.** The fourth step is creating a matrix that resembles the `waffle` chart and populating it." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 21, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Waffle chart populated!\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# initialize the waffle chart as an empty matrix\n", | |
| "waffle_chart = np.zeros((height, width))\n", | |
| "\n", | |
| "# define indices to loop through waffle chart\n", | |
| "category_index = 0\n", | |
| "tile_index = 0\n", | |
| "\n", | |
| "# populate the waffle chart\n", | |
| "for col in range(width):\n", | |
| " for row in range(height):\n", | |
| " tile_index += 1\n", | |
| "\n", | |
| " # if the number of tiles populated for the current category is equal to its corresponding allocated tiles...\n", | |
| " if tile_index > sum(tiles_per_category[0:category_index]):\n", | |
| " # ...proceed to the next category\n", | |
| " category_index += 1 \n", | |
| " \n", | |
| " # set the class value to an integer, which increases with class\n", | |
| " waffle_chart[row, col] = category_index\n", | |
| " \n", | |
| "print ('Waffle chart populated!')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Let's take a peek at how the matrix looks like." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 22, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array([[1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 2., 2.,\n", | |
| " 2., 2., 2., 2., 2., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,\n", | |
| " 3., 3., 3., 3., 3., 3., 3., 3.],\n", | |
| " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 2., 2.,\n", | |
| " 2., 2., 2., 2., 2., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,\n", | |
| " 3., 3., 3., 3., 3., 3., 3., 3.],\n", | |
| " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 2., 2.,\n", | |
| " 2., 2., 2., 2., 2., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,\n", | |
| " 3., 3., 3., 3., 3., 3., 3., 3.],\n", | |
| " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 2., 2.,\n", | |
| " 2., 2., 2., 2., 2., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,\n", | |
| " 3., 3., 3., 3., 3., 3., 3., 3.],\n", | |
| " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 2., 2.,\n", | |
| " 2., 2., 2., 2., 2., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,\n", | |
| " 3., 3., 3., 3., 3., 3., 3., 3.],\n", | |
| " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 2., 2.,\n", | |
| " 2., 2., 2., 2., 2., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,\n", | |
| " 3., 3., 3., 3., 3., 3., 3., 3.],\n", | |
| " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 2., 2.,\n", | |
| " 2., 2., 2., 2., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,\n", | |
| " 3., 3., 3., 3., 3., 3., 3., 3.],\n", | |
| " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 2., 2.,\n", | |
| " 2., 2., 2., 2., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,\n", | |
| " 3., 3., 3., 3., 3., 3., 3., 3.],\n", | |
| " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 2., 2.,\n", | |
| " 2., 2., 2., 2., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,\n", | |
| " 3., 3., 3., 3., 3., 3., 3., 3.],\n", | |
| " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 2., 2., 2.,\n", | |
| " 2., 2., 2., 2., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.,\n", | |
| " 3., 3., 3., 3., 3., 3., 3., 3.]])" | |
| ] | |
| }, | |
| "execution_count": 22, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "waffle_chart" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "As expected, the matrix consists of three categories and the total number of each category's instances matches the total number of tiles allocated to each category." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "**Step 5.** Map the `waffle` chart matrix into a visual." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 23, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.colorbar.Colorbar at 0x7f0a718825c0>" | |
| ] | |
| }, | |
| "execution_count": 23, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<Figure size 432x288 with 0 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1152x288 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# instantiate a new figure object\n", | |
| "fig = plt.figure()\n", | |
| "\n", | |
| "# use matshow to display the waffle chart\n", | |
| "colormap = plt.cm.coolwarm\n", | |
| "plt.matshow(waffle_chart, cmap=colormap)\n", | |
| "plt.colorbar()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "**Step 6.** Prettify the chart." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 24, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "([], <a list of 0 Text yticklabel objects>)" | |
| ] | |
| }, | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<Figure size 432x288 with 0 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1152x288 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# instantiate a new figure object\n", | |
| "fig = plt.figure()\n", | |
| "\n", | |
| "# use matshow to display the waffle chart\n", | |
| "colormap = plt.cm.coolwarm\n", | |
| "plt.matshow(waffle_chart, cmap=colormap)\n", | |
| "plt.colorbar()\n", | |
| "\n", | |
| "# get the axis\n", | |
| "ax = plt.gca()\n", | |
| "\n", | |
| "# set minor ticks\n", | |
| "ax.set_xticks(np.arange(-.5, (width), 1), minor=True)\n", | |
| "ax.set_yticks(np.arange(-.5, (height), 1), minor=True)\n", | |
| " \n", | |
| "# add gridlines based on minor ticks\n", | |
| "ax.grid(which='minor', color='w', linestyle='-', linewidth=2)\n", | |
| "\n", | |
| "plt.xticks([])\n", | |
| "plt.yticks([])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "**Step 7.** Create a legend and add it to chart." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 25, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.legend.Legend at 0x7f0a716ae278>" | |
| ] | |
| }, | |
| "execution_count": 25, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<Figure size 432x288 with 0 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1152x288 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# instantiate a new figure object\n", | |
| "fig = plt.figure()\n", | |
| "\n", | |
| "# use matshow to display the waffle chart\n", | |
| "colormap = plt.cm.coolwarm\n", | |
| "plt.matshow(waffle_chart, cmap=colormap)\n", | |
| "plt.colorbar()\n", | |
| "\n", | |
| "# get the axis\n", | |
| "ax = plt.gca()\n", | |
| "\n", | |
| "# set minor ticks\n", | |
| "ax.set_xticks(np.arange(-.5, (width), 1), minor=True)\n", | |
| "ax.set_yticks(np.arange(-.5, (height), 1), minor=True)\n", | |
| " \n", | |
| "# add gridlines based on minor ticks\n", | |
| "ax.grid(which='minor', color='w', linestyle='-', linewidth=2)\n", | |
| "\n", | |
| "plt.xticks([])\n", | |
| "plt.yticks([])\n", | |
| "\n", | |
| "# compute cumulative sum of individual categories to match color schemes between chart and legend\n", | |
| "values_cumsum = np.cumsum(df_dsn['Total'])\n", | |
| "total_values = values_cumsum[len(values_cumsum) - 1]\n", | |
| "\n", | |
| "# create legend\n", | |
| "legend_handles = []\n", | |
| "for i, category in enumerate(df_dsn.index.values):\n", | |
| " label_str = category + ' (' + str(df_dsn['Total'][i]) + ')'\n", | |
| " color_val = colormap(float(values_cumsum[i])/total_values)\n", | |
| " legend_handles.append(mpatches.Patch(color=color_val, label=label_str))\n", | |
| "\n", | |
| "# add legend to chart\n", | |
| "plt.legend(handles=legend_handles,\n", | |
| " loc='lower center', \n", | |
| " ncol=len(df_dsn.index.values),\n", | |
| " bbox_to_anchor=(0., -0.2, 0.95, .1)\n", | |
| " )" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "And there you go! What a good looking *delicious* `waffle` chart, don't you think?" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Now it would very inefficient to repeat these seven steps every time we wish to create a `waffle` chart. So let's combine all seven steps into one function called *create_waffle_chart*. This function would take the following parameters as input:\n", | |
| "\n", | |
| "> 1. **categories**: Unique categories or classes in dataframe.\n", | |
| "> 2. **values**: Values corresponding to categories or classes.\n", | |
| "> 3. **height**: Defined height of waffle chart.\n", | |
| "> 4. **width**: Defined width of waffle chart.\n", | |
| "> 5. **colormap**: Colormap class\n", | |
| "> 6. **value_sign**: In order to make our function more generalizable, we will add this parameter to address signs that could be associated with a value such as %, $, and so on. **value_sign** has a default value of empty string." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 26, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def create_waffle_chart(categories, values, height, width, colormap, value_sign=''):\n", | |
| "\n", | |
| " # compute the proportion of each category with respect to the total\n", | |
| " total_values = sum(values)\n", | |
| " category_proportions = [(float(value) / total_values) for value in values]\n", | |
| "\n", | |
| " # compute the total number of tiles\n", | |
| " total_num_tiles = width * height # total number of tiles\n", | |
| " print ('Total number of tiles is', total_num_tiles)\n", | |
| " \n", | |
| " # compute the number of tiles for each catagory\n", | |
| " tiles_per_category = [round(proportion * total_num_tiles) for proportion in category_proportions]\n", | |
| "\n", | |
| " # print out number of tiles per category\n", | |
| " for i, tiles in enumerate(tiles_per_category):\n", | |
| " print (df_dsn.index.values[i] + ': ' + str(tiles))\n", | |
| " \n", | |
| " # initialize the waffle chart as an empty matrix\n", | |
| " waffle_chart = np.zeros((height, width))\n", | |
| "\n", | |
| " # define indices to loop through waffle chart\n", | |
| " category_index = 0\n", | |
| " tile_index = 0\n", | |
| "\n", | |
| " # populate the waffle chart\n", | |
| " for col in range(width):\n", | |
| " for row in range(height):\n", | |
| " tile_index += 1\n", | |
| "\n", | |
| " # if the number of tiles populated for the current category \n", | |
| " # is equal to its corresponding allocated tiles...\n", | |
| " if tile_index > sum(tiles_per_category[0:category_index]):\n", | |
| " # ...proceed to the next category\n", | |
| " category_index += 1 \n", | |
| " \n", | |
| " # set the class value to an integer, which increases with class\n", | |
| " waffle_chart[row, col] = category_index\n", | |
| " \n", | |
| " # instantiate a new figure object\n", | |
| " fig = plt.figure()\n", | |
| "\n", | |
| " # use matshow to display the waffle chart\n", | |
| " colormap = plt.cm.coolwarm\n", | |
| " plt.matshow(waffle_chart, cmap=colormap)\n", | |
| " plt.colorbar()\n", | |
| "\n", | |
| " # get the axis\n", | |
| " ax = plt.gca()\n", | |
| "\n", | |
| " # set minor ticks\n", | |
| " ax.set_xticks(np.arange(-.5, (width), 1), minor=True)\n", | |
| " ax.set_yticks(np.arange(-.5, (height), 1), minor=True)\n", | |
| " \n", | |
| " # add dridlines based on minor ticks\n", | |
| " ax.grid(which='minor', color='w', linestyle='-', linewidth=2)\n", | |
| "\n", | |
| " plt.xticks([])\n", | |
| " plt.yticks([])\n", | |
| "\n", | |
| " # compute cumulative sum of individual categories to match color schemes between chart and legend\n", | |
| " values_cumsum = np.cumsum(values)\n", | |
| " total_values = values_cumsum[len(values_cumsum) - 1]\n", | |
| "\n", | |
| " # create legend\n", | |
| " legend_handles = []\n", | |
| " for i, category in enumerate(categories):\n", | |
| " if value_sign == '%':\n", | |
| " label_str = category + ' (' + str(values[i]) + value_sign + ')'\n", | |
| " else:\n", | |
| " label_str = category + ' (' + value_sign + str(values[i]) + ')'\n", | |
| " \n", | |
| " color_val = colormap(float(values_cumsum[i])/total_values)\n", | |
| " legend_handles.append(mpatches.Patch(color=color_val, label=label_str))\n", | |
| "\n", | |
| " # add legend to chart\n", | |
| " plt.legend(\n", | |
| " handles=legend_handles,\n", | |
| " loc='lower center', \n", | |
| " ncol=len(categories),\n", | |
| " bbox_to_anchor=(0., -0.2, 0.95, .1)\n", | |
| " )" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Now to create a `waffle` chart, all we have to do is call the function `create_waffle_chart`. Let's define the input parameters:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 28, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "width = 40 # width of chart\n", | |
| "height = 10 # height of chart\n", | |
| "\n", | |
| "categories = df_dsn.index.values # categories\n", | |
| "values = df_dsn['Total'] # correponding values of categories\n", | |
| "\n", | |
| "colormap = plt.cm.coolwarm # color map class" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "And now let's call our function to create a `waffle` chart." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 29, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Total number of tiles is 400\n", | |
| "Denmark: 129\n", | |
| "Norway: 77\n", | |
| "Sweden: 194\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<Figure size 432x288 with 0 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1152x288 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "create_waffle_chart(categories, values, height, width, colormap)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "There seems to be a new Python package for generating `waffle charts` called [PyWaffle](https://github.com/ligyxy/PyWaffle), but it looks like the repository is still being built. But feel free to check it out and play with it." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Word Clouds <a id=\"8\"></a>\n", | |
| "\n", | |
| "\n", | |
| "`Word` clouds (also known as text clouds or tag clouds) work in a simple way: the more a specific word appears in a source of textual data (such as a speech, blog post, or database), the bigger and bolder it appears in the word cloud." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Luckily, a Python package already exists in Python for generating `word` clouds. The package, called `word_cloud` was developed by **Andreas Mueller**. You can learn more about the package by following this [link](https://github.com/amueller/word_cloud/).\n", | |
| "\n", | |
| "Let's use this package to learn how to generate a word cloud for a given text document." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "First, let's install the package." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 30, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Collecting package metadata (current_repodata.json): done\n", | |
| "Solving environment: failed with initial frozen solve. Retrying with flexible solve.\n", | |
| "Collecting package metadata (repodata.json): done\n", | |
| "Solving environment: done\n", | |
| "\n", | |
| "## Package Plan ##\n", | |
| "\n", | |
| " environment location: /home/jupyterlab/conda/envs/python\n", | |
| "\n", | |
| " added / updated specs:\n", | |
| " - wordcloud==1.4.1\n", | |
| "\n", | |
| "\n", | |
| "The following packages will be downloaded:\n", | |
| "\n", | |
| " package | build\n", | |
| " ---------------------------|-----------------\n", | |
| " olefile-0.46 | py_0 31 KB conda-forge\n", | |
| " pillow-7.2.0 | py36h8328e55_0 657 KB conda-forge\n", | |
| " wordcloud-1.4.1 | py36_0 324 KB conda-forge\n", | |
| " ------------------------------------------------------------\n", | |
| " Total: 1012 KB\n", | |
| "\n", | |
| "The following NEW packages will be INSTALLED:\n", | |
| "\n", | |
| " olefile conda-forge/noarch::olefile-0.46-py_0\n", | |
| " pillow conda-forge/linux-64::pillow-7.2.0-py36h8328e55_0\n", | |
| " wordcloud conda-forge/linux-64::wordcloud-1.4.1-py36_0\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "Downloading and Extracting Packages\n", | |
| "pillow-7.2.0 | 657 KB | ##################################### | 100% \n", | |
| "olefile-0.46 | 31 KB | ##################################### | 100% \n", | |
| "wordcloud-1.4.1 | 324 KB | ##################################### | 100% \n", | |
| "Preparing transaction: done\n", | |
| "Verifying transaction: done\n", | |
| "Executing transaction: done\n", | |
| "Wordcloud is installed and imported!\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# install wordcloud\n", | |
| "!conda install -c conda-forge wordcloud==1.4.1 --yes\n", | |
| "\n", | |
| "# import package and its set of stopwords\n", | |
| "from wordcloud import WordCloud, STOPWORDS\n", | |
| "\n", | |
| "print ('Wordcloud is installed and imported!')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "`Word` clouds are commonly used to perform high-level analysis and visualization of text data. Accordinly, let's digress from the immigration dataset and work with an example that involves analyzing text data. Let's try to analyze a short novel written by **Lewis Carroll** titled *Alice's Adventures in Wonderland*. Let's go ahead and download a _.txt_ file of the novel." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 31, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "File downloaded and saved!\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# download file and save as alice_novel.txt\n", | |
| "!wget --quiet https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DV0101EN/labs/Data_Files/alice_novel.txt\n", | |
| "\n", | |
| "# open the file and read it into a variable alice_novel\n", | |
| "alice_novel = open('alice_novel.txt', 'r').read()\n", | |
| " \n", | |
| "print ('File downloaded and saved!')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Next, let's use the stopwords that we imported from `word_cloud`. We use the function *set* to remove any redundant stopwords." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 33, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "stopwords = set(STOPWORDS)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Create a word cloud object and generate a word cloud. For simplicity, let's generate a word cloud using only the first 2000 words in the novel." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 34, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<wordcloud.wordcloud.WordCloud at 0x7f0a71417160>" | |
| ] | |
| }, | |
| "execution_count": 34, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# instantiate a word cloud object\n", | |
| "alice_wc = WordCloud(\n", | |
| " background_color='white',\n", | |
| " max_words=2000,\n", | |
| " stopwords=stopwords\n", | |
| ")\n", | |
| "\n", | |
| "# generate the word cloud\n", | |
| "alice_wc.generate(alice_novel)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Awesome! Now that the `word` cloud is created, let's visualize it." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 35, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| }, | |
| "scrolled": true | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# display the word cloud\n", | |
| "plt.imshow(alice_wc, interpolation='bilinear')\n", | |
| "plt.axis('off')\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Interesting! So in the first 2000 words in the novel, the most common words are **Alice**, **said**, **little**, **Queen**, and so on. Let's resize the cloud so that we can see the less frequent words a little better." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 36, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1008x1296 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "fig = plt.figure()\n", | |
| "fig.set_figwidth(14) # set width\n", | |
| "fig.set_figheight(18) # set height\n", | |
| "\n", | |
| "# display the cloud\n", | |
| "plt.imshow(alice_wc, interpolation='bilinear')\n", | |
| "plt.axis('off')\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "deletable": true, | |
| "editable": true, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Much better! However, **said** isn't really an informative word. So let's add it to our stopwords and re-generate the cloud." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 37, | |
| "metadata": { | |
| "button": false, | |
| "collapsed": false, | |
| "deletable": true, | |
| "editable": true, | |
| "jupyter": { | |
| "outputs_hidden": false | |
| }, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { |
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