{"id":388,"date":"2022-01-12T00:00:00","date_gmt":"2022-01-12T00:00:00","guid":{"rendered":"https:\/\/tac.debuzzify.com\/?p=388"},"modified":"2023-06-27T11:53:43","modified_gmt":"2023-06-27T11:53:43","slug":"create-stunning-visualizations-with-pandas-dataframes-in-one-line-of-code","status":"publish","type":"post","link":"https:\/\/www.the-analytics.club\/create-stunning-visualizations-with-pandas-dataframes-in-one-line-of-code\/","title":{"rendered":"Create Stunning Visualizations With Pandas Dataframes in One Line of Code"},"content":{"rendered":"\n<p><b><i>A simple trick to make your charts interactive and visually appealing<\/i><\/b><\/p>\n\n\n\n\n\n<p>Great visualization leads to excellent insights.<\/p>\n\n\n\n<p>Almost every data scientist who uses Python also uses <a href=\"https:\/\/pandas.pydata.org\/\" target=\"_blank\" rel=\"noopener\">Pandas<\/a>. It\u2019s the de-facto Python library for data wrangling. Pandas out of the box offer some great <a href=\"https:\/\/www.the-analytics.club\/9-easy-steps-to-make-great-charts\/\" title=\"How to Make a Chart Attractive in 9 Steps\">visualization for common chart<\/a> types.<\/p>\n\n\n\n<p>But the defaults aren\u2019t the best.<\/p>\n\n\n\n<p>We could make it even better with a companion framework such as Plotly. We can set the plotting backend to Plotly and use its stylish charts in our projects.<\/p>\n\n\n\n<p>But setting the backend alone doesn\u2019t give the full benefit of <a href=\"https:\/\/plotly.com\/\" target=\"_blank\" rel=\"noopener\">Plotly<\/a> for our dataframes. For example, Pandas doesn\u2019t have a surface plot option. Also, Plotly has a slightly different way of creating charts than Pandas.<\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/santosjorge\/cufflinks\" target=\"_blank\" rel=\"noopener\">Cufflinks<\/a> is another library that bridges this gap. We can use the same Pandas-like calls to create more stunning charts with it. And also we can develop advanced charts like surface plots.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><b>Read: <\/b><a href=\"https:\/\/towardsdatascience.com\/how-to-do-a-ton-of-analysis-in-the-blink-of-an-eye-16fa9affce06\" target=\"_blank\" rel=\"noopener\"><b>How to Do a Ton of Analysis in Python in the Blink of An Eye.<\/b><\/a><\/p>\n<\/blockquote>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How to create plots from dataframes \u2014the pure Pandas way.<\/h2>\n\n\n\n<p>In Pandas, if you want to create charts such as bar charts and box plots, all you have to do is call the plot method. We can specify the type of chart we need and several other configurations.<\/p>\n\n\n\n<p>We\u2019re creating a bar chart using the panda\u2019s inbuilt plot function in the following example.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"df.plot(kind='bar', x=&quot;month&quot;, y=&quot;passengers&quot;)\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">df<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">plot<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #D8DEE9\">kind<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">bar<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">x<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #A3BE8C\">month<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">y<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #A3BE8C\">passengers<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #D8DEE9FF\">)<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>\u00a0<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-43.png\" alt=\"How to create plots from dataframes -the pure Pandas way\" class=\"wp-image-785\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-43.png 800w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-43-300x169.png 300w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-43-768x432.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption class=\"wp-element-caption\"><strong><em>Bar chart created by Pandas using Matplotlib backend \u2014 Screenshot by author.<\/em><\/strong><\/figcaption><\/figure><\/div>\n\n\n<p>\u00a0\u00a0The above is very straightforward. Yet its presentability isn\u2019t that great.<\/p>\n\n\n\n<p>Pandas\u2019 default plotting backend is <a href=\"https:\/\/matplotlib.org\/stable\/index.html\" target=\"_blank\" rel=\"noopener\">Matplotlib<\/a>. It works fine in many instances. But charts can be better with a different backend.<\/p>\n\n\n\n<p>We can quickly turn this ordinary chart into a beautiful one by changing the plotting backend to Plotly.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"pip install plotly==5.5\n# conda install -C plotly plotly==5.5.0\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">pip<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">install<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">plotly<\/span><span style=\"color: #81A1C1\">==<\/span><span style=\"color: #B48EAD\">5.5<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\"># <\/span><span style=\"color: #D8DEE9\">conda<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">install<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">-<\/span><span style=\"color: #D8DEE9\">C<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">plotly<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">plotly<\/span><span style=\"color: #81A1C1\">==<\/span><span style=\"color: #B48EAD\">5.5<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #B48EAD\">0<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>If Plotly hasn\u2019t been installed on your computer already, please use the above code.<\/p>\n\n\n\n<p>We can set the backend to Plotly with the following line. I recommend adding this line as soon as you import pandas into your Notebook (or project.)<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"import pandas as pd\npd.options.plotting.backend = \u201cplotly\u201d\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">pandas<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">as<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #8FBCBB\">pd<\/span><\/span>\n<span class=\"line\"><span style=\"color: #8FBCBB\">pd<\/span><span style=\"color: #D8DEE9FF\">.<\/span><span style=\"color: #8FBCBB\">options<\/span><span style=\"color: #D8DEE9FF\">.<\/span><span style=\"color: #8FBCBB\">plotting<\/span><span style=\"color: #D8DEE9FF\">.<\/span><span style=\"color: #8FBCBB\">backend<\/span><span style=\"color: #D8DEE9FF\"> = \u201c<\/span><span style=\"color: #8FBCBB\">plotly<\/span><span style=\"color: #D8DEE9FF\">\u201d<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>The resulting chart is more aesthetically appealing, and it has been summarized well.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-44.png\" alt=\"How to create plots from dataframes\" class=\"wp-image-786\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-44.png 800w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-44-300x169.png 300w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-44-768x432.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption class=\"wp-element-caption\"><strong><em>Barchart was created by the Plotly backend of Pandas \u2014 Screenshot by author.<\/em><\/strong><\/figcaption><\/figure><\/div>\n\n\n<p>\u00a0However, as I mentioned earlier, it still lacks some key charts. Let\u2019s do it differently to tap Plotly\u2019s maximum potential.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><b>Read: <\/b><a href=\"https:\/\/towardsdatascience.com\/9-easy-steps-to-make-great-charts-33e2c4612e39\" target=\"_blank\" rel=\"noopener\"><b>9 Easy Steps to Make Great Charts<\/b><\/a><\/p>\n<\/blockquote>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How to create plots from a dataframe using Cufflinks<\/h2>\n\n\n\n<p>Cufflinks is a Python library that helps us use Plotly with Pandas in a native Pandas-like syntax. It also adds more impressive chart types than we normally see in <a href=\"https:\/\/www.the-analytics.club\/agg-method-vs-apply-pandas\/\" title=\"Use agg() Method Over apply() To Accumulate Pandas Dataframes Faster.\">Pandas dataframes<\/a>.<\/p>\n\n\n\n<p>We can import it and configure the global theme and other options once and use the <code>iplot<\/code> API that is added to every dataframe instead of its default plot method.<\/p>\n\n\n\n<p>Let\u2019s install it from <a href=\"https:\/\/pypi.org\/project\/cufflinks\/\" target=\"_blank\" rel=\"noopener\">PyPI<\/a> with the following command.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"pip install cufflinks\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">pip<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">install<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">cufflinks<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>Once installed, we can import and configure it in our Notebook.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"import pandas as pd\nimport cufflinks as cf\nimport numpy as np\ncf.set_config_file(theme='pearl')\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">pandas<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">as<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #8FBCBB\">pd<\/span><\/span>\n<span class=\"line\"><span style=\"color: #8FBCBB\">import<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">cufflinks<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">as<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #8FBCBB\">cf<\/span><\/span>\n<span class=\"line\"><span style=\"color: #8FBCBB\">import<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">numpy<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">as<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #8FBCBB\">np<\/span><\/span>\n<span class=\"line\"><span style=\"color: #8FBCBB\">cf<\/span><span style=\"color: #D8DEE9FF\">.<\/span><span style=\"color: #8FBCBB\">set_config_file<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #8FBCBB\">theme<\/span><span style=\"color: #D8DEE9FF\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">pearl<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #D8DEE9FF\">)<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>We can now create many different charts using the <code>iplot<\/code> method. Here\u2019s an example.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"cf.datagen.lines(4,1000).iplot()\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">cf<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">datagen<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">lines<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #B48EAD\">4<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">1000<\/span><span style=\"color: #D8DEE9FF\">)<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">iplot<\/span><span style=\"color: #D8DEE9FF\">()<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>We used the <code>datagen<\/code> module of the Cufflinks package. It allows us to generate random data for various situations. We\u2019ll use it to create data for the rest of this post.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-45.png\" alt=\"How to create plots from dataframe using Cufflinks\" class=\"wp-image-787\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-45.png 800w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-45-300x169.png 300w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-45-768x432.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><figcaption class=\"wp-element-caption\"><strong><em>Line chart generated using Cufflinks, Pandas, and Plotly \u2014 -Screenshot by author.<\/em><\/strong><\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>This minor tweak dramatically improves the presentability of our charts without significantly changing our code.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Types of Plotly data visualizations we can create on a dataframe.<\/h2>\n\n\n\n<p>Plotly has several different chart types. A few of them are available through cufflinks which we can directly call from a dataframe.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><b>Read: <\/b><a href=\"https:\/\/towardsdatascience.com\/plotly-dashboards-in-python-28a3bb83702c\" target=\"_blank\" rel=\"noopener\"><b>This is How I Create Dazzling Dashboards Purely in Python.<\/b><\/a><\/p>\n<\/blockquote>\n\n\n\n<p>Here are some charts that aren\u2019t available in Pandas but are made possible through cufflinks.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3D surface plots.<\/h3>\n\n\n\n<p>Surface plots are a visual representation of 3-dimensional data. It\u2019s helpful in many applications. For instance, we use surface plots in machine learning to study cost functions and gradient descent optimization.<\/p>\n\n\n\n<p>The following code creates a surface plot from a dataframe. Cufflinks pick the column and row indexes as the x and y-axis. The values of the dataframe go on the z-axis.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"720\" height=\"253\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-50.png\" alt=\"Dataset for the surface plot. \" class=\"wp-image-793\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-50.png 720w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-50-300x105.png 300w\" sizes=\"(max-width: 720px) 100vw, 720px\" \/><\/figure><\/div>\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"cf.datagen.sinwave(10,.25).iplot(kind='surface')\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">cf<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">datagen<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">sinwave<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #B48EAD\">10<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">.25<\/span><span style=\"color: #D8DEE9FF\">)<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">iplot<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #D8DEE9\">kind<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">surface<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #D8DEE9FF\">)<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"259\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2022\/01\/1_vY1wXuLZyAgLasGp8PxRoA.gif\" alt=\"Surface plot created with Cufflinks, Plotly, and Pandas. \" class=\"wp-image-794\" title=\"\"><figcaption class=\"wp-element-caption\">Surface plot created with Cufflinks, Plotly, and Pandas.\u00a0<\/figcaption><\/figure><\/div>\n\n\n<p>If your dataset has all values in different columns, please use the pivot function as shown below to convert it to the compatible format before plotting.<\/p>\n\n\n\n<p>\u00a0<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"720\" height=\"412\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-49.png\" alt=\"Pivoting table to use in a surface plot. \" class=\"wp-image-791\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-49.png 720w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-49-300x172.png 300w\" sizes=\"(max-width: 720px) 100vw, 720px\" \/><figcaption class=\"wp-element-caption\">Pivoting table to use in a surface plot.\u00a0<\/figcaption><\/figure><\/div>\n\n\n<h3 class=\"wp-block-heading\">Bubble charts<\/h3>\n\n\n\n<p>Bubble charts are another great way to visualize multiple dimensions in a meaningful way. We can picture four features in a single chart, including one categorical variable.<\/p>\n\n\n\n<p>The following chart shows how planet size changes with its distance from the sun and its mass for every planet (Fake data, of course.)<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"cf.datagen.bubble(prefix=&quot;planet&quot;).iplot(kind='bubble',x='x',y='y',size='size',categories='categories',text='text', xTitle='Relative Mass',yTitle='Distance from the Sun',title='Plannet Size, Mass and Distance')\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">cf<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">datagen<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">bubble<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #D8DEE9\">prefix<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #A3BE8C\">planet<\/span><span style=\"color: #ECEFF4\">&quot;<\/span><span style=\"color: #D8DEE9FF\">)<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">iplot<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #D8DEE9\">kind<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">bubble<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">x<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">x<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">y<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">y<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">size<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">size<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">categories<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">categories<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">text<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">text<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">xTitle<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">Relative Mass<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">yTitle<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">Distance from the Sun<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">title<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">Plannet Size, Mass and Distance<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #D8DEE9FF\">)<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"259\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_v9W1rAmwqePI8fYasbCMsw.gif\" alt=\"Bubble chart created with Cufflinks, Pandas, and Plotly\" class=\"wp-image-795\" title=\"\"><figcaption class=\"wp-element-caption\">Bubble chart created with Cufflinks, Pandas, and Plotly<\/figcaption><\/figure><\/div>\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p>Also, note that the charts you create with the Cufflinks extension are interactive. Hover over any bubble to see its details. You can click on any category to turn it on or off.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Heatmap charts<\/h3>\n\n\n\n<p>Heatmaps are often a much easier way to find out hot spots in our dataset. They are like surface plots that allow us to visualize three data dimensions simultaneously. But instead of the z-axis, here, we have a color spectrum.<\/p>\n\n\n\n<p>Like other chart types, it\u2019s easy to create a heatmap too.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"cf.datagen.heatmap(20,20).iplot(kind='heatmap',colorscale='spectral')\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">cf<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">datagen<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">heatmap<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #B48EAD\">20<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #B48EAD\">20<\/span><span style=\"color: #D8DEE9FF\">)<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">iplot<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #D8DEE9\">kind<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">heatmap<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">colorscale<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">spectral<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #D8DEE9FF\">)<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>\u00a0<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"720\" height=\"325\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-51.png\" alt=\"Heatmap created with Cufflinks, Plotly on a Pandas dataframe\" class=\"wp-image-796\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-51.png 720w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-51-300x135.png 300w\" sizes=\"(max-width: 720px) 100vw, 720px\" \/><figcaption class=\"wp-element-caption\">Heatmap created with Cufflinks, Plotly on a Pandas dataframe<\/figcaption><\/figure><\/div>\n\n\n<h3 class=\"wp-block-heading\">Spread charts<\/h3>\n\n\n\n<p>Suppose you\u2019re tracking a variable for two categories over time; you might also want to see how their differences change over time as well. You might have to see if the gap is narrowing or even flipped. Or perhaps the trend of the disparity itself.<\/p>\n\n\n\n<p>Spread charts are an excellent way to visualize the spread between two variables over time.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"cf.datagen.lines(2).iplot(kind='spread',xTitle='Dates',yTitle='Return')\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">cf<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9\">datagen<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">lines<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #B48EAD\">2<\/span><span style=\"color: #D8DEE9FF\">)<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">iplot<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #D8DEE9\">kind<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">spread<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">xTitle<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">Dates<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">yTitle<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">Return<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #D8DEE9FF\">)<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>The spread chart works just like line plots. But in addition to plotting the individual lines, it also generates an area chart beneath the line chart. They both share the same time axis, so that it\u2019s easy to understand.<\/p>\n\n\n\n<p>\u00a0<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-52.png\" alt=\"Spread chart generated with Cufflinks and Plotly on a Pandas dataframe\" class=\"wp-image-797\" width=\"720\" height=\"325\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-52.png 720w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-52-300x135.png 300w\" sizes=\"(max-width: 720px) 100vw, 720px\" \/><figcaption class=\"wp-element-caption\">Spread chart generated with Cufflinks and Plotly on a Pandas dataframe<\/figcaption><\/figure><\/div>\n\n\n<p>These are only some of the many charts you can create with the Cufflinks extension. Of course, you can also make the more common charts available from Pandas default API.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><b>Read: <\/b><a href=\"https:\/\/towardsdatascience.com\/how-to-create-stunning-web-apps-for-your-data-science-projects-c7791102134e\" target=\"_blank\" rel=\"noopener\"><b>How to Create Stunning Web Apps for your Data Science Projects<\/b><\/a><\/p>\n<\/blockquote>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Changing the theme of charts.<\/h2>\n\n\n\n<p>Through Cufflinks configuration, you can easily switch between several color themes. We have the following options to pick one.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"ggplot, pearl, solar, space, white, polar, henanigans\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">ggplot<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">pearl<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">solar<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">space<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">white<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">polar<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #D8DEE9\">henanigans<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>At the top of this article, we used the pearl theme when we configured Cufflinks for the first time. Here\u2019s how we changed it to a different theme.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"cf.set_config_file(theme='henanigans')\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">cf<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">set_config_file<\/span><span style=\"color: #D8DEE9FF\">(<\/span><span style=\"color: #D8DEE9\">theme<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">henanigans<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #D8DEE9FF\">)<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">JavaScript<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>Here\u2019s how the last example we used appears in other color themes.<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"400\" data-id=\"799\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_YUDSiXqfwiot3Q7LZxxzcg.webp\" alt=\"\" class=\"wp-image-799\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_YUDSiXqfwiot3Q7LZxxzcg.webp 640w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_YUDSiXqfwiot3Q7LZxxzcg-300x188.webp 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"400\" data-id=\"798\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_ZdnQFQR9FKbYT3gWbqdc4Q.webp\" alt=\"\" class=\"wp-image-798\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_ZdnQFQR9FKbYT3gWbqdc4Q.webp 640w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_ZdnQFQR9FKbYT3gWbqdc4Q-300x188.webp 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"400\" data-id=\"800\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_L4v0o-DpA1oiuQpe6obiAw.webp\" alt=\"\" class=\"wp-image-800\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_L4v0o-DpA1oiuQpe6obiAw.webp 640w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_L4v0o-DpA1oiuQpe6obiAw-300x188.webp 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"400\" data-id=\"801\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_V7wxo36zubpe-oVUJd84cA.webp\" alt=\"\" class=\"wp-image-801\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_V7wxo36zubpe-oVUJd84cA.webp 640w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_V7wxo36zubpe-oVUJd84cA-300x188.webp 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"400\" data-id=\"802\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_1FVOzkdRxK5SzYpBRmnpCw.webp\" alt=\"\" class=\"wp-image-802\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_1FVOzkdRxK5SzYpBRmnpCw.webp 640w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_1FVOzkdRxK5SzYpBRmnpCw-300x188.webp 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"500\" data-id=\"803\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_5aDmx5A-YJd7vP9zQVeHdA.webp\" alt=\"\" class=\"wp-image-803\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_5aDmx5A-YJd7vP9zQVeHdA.webp 800w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_5aDmx5A-YJd7vP9zQVeHdA-300x188.webp 300w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/1_5aDmx5A-YJd7vP9zQVeHdA-768x480.webp 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure>\n<figcaption class=\"blocks-gallery-caption wp-element-caption\"><strong><em>Spread charts generated by different themes in Cufflinks<\/em><\/strong><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Final thought<\/h2>\n\n\n\n<p>Visualizing makes all the differences in what we can do with the data at hand.<\/p>\n\n\n\n<p>When working with Pandas dataframes, we primarily use its default plot method to create graphics. But these graphs aren\u2019t styled enough to present it nicely. A quick trick is to change the plotting backend to Plotly and have beautiful charts.<\/p>\n\n\n\n<p>However, another Plotly binding for Pandas dataframes, known as Cufflinks, adds extra possibilities to the default Pandas plotting option. With it, we can quickly switch between several preconfigured themes and unlock charts that aren\u2019t available in Pandas.<\/p>\n\n\n\n<p>This post discussed how to get started with Pandas, Plotly, and Cufflinks. We\u2019ve also created some fantastic visuals of our dataframe all in one line of code.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><b>Related: <br><\/b><a href=\"https:\/\/towardsdatascience.com\/5-python-gui-frameworks-to-create-desktop-web-and-even-mobile-apps-c25f1bcfb561\" target=\"_blank\" rel=\"noopener\"><b>5 Python GUI Frameworks to Create Desktop, Web, and Even Mobile Apps.<\/b><\/a><b><br><\/b><a href=\"https:\/\/towardsdatascience.com\/summarize-pandas-data-frames-b9770567f940\" target=\"_blank\" rel=\"noopener\"><b>A Better Way to Summarize Pandas Dataframes.<\/b><\/a><\/p>\n<\/blockquote>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><b><i>Did you like what you read?<\/i><\/b> <a href=\"https:\/\/thuwarakesh.medium.com\/subscribe\" target=\"_blank\" rel=\"nofollow noopener\"><b><i>Consider subscribing to my email newsletter<\/i><\/b><\/a> <b><i>because I post more like this frequently.<br>Thanks for reading, friend! Say Hi to me on<\/i><\/b> <a href=\"https:\/\/www.linkedin.com\/in\/thuwarakesh\/\" target=\"_blank\" rel=\"nofollow noopener\"><b><i>LinkedIn<\/i><\/b><\/a><b><i>,<\/i><\/b> <a href=\"https:\/\/twitter.com\/Thuwarakesh\" target=\"_blank\" rel=\"nofollow noopener\"><b><i>Twitter<\/i><\/b><\/a><b><i>, and<\/i><\/b> <a href=\"https:\/\/thuwarakesh.medium.com\/\" target=\"_blank\" rel=\"nofollow noopener\"><b><i>Medium<\/i><\/b><\/a><b><i>.<\/i><\/b><\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>The default Pandas plots use Matplotlib backend. But with this trick, we can create more beautiful and advanced charts such as surface and bubble charts.<\/p>\n","protected":false},"author":2,"featured_media":82,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"categories":[4,8],"tags":[],"taxonomy_info":{"category":[{"value":4,"label":"Data Science"},{"value":8,"label":"Data Visualization"}]},"featured_image_src_large":["https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/create-stunning-visualizations-with-pandas-dataframes-in-one-line-of-code-1024x576.jpg",1024,576,true],"author_info":{"display_name":"Thuwarakesh","author_link":"https:\/\/www.the-analytics.club\/author\/thuwarakesh\/"},"comment_info":0,"category_info":[{"term_id":4,"name":"Data Science","slug":"data-science","term_group":0,"term_taxonomy_id":4,"taxonomy":"category","description":"","parent":0,"count":22,"filter":"raw","cat_ID":4,"category_count":22,"category_description":"","cat_name":"Data Science","category_nicename":"data-science","category_parent":0},{"term_id":8,"name":"Data Visualization","slug":"data-visualization","term_group":0,"term_taxonomy_id":8,"taxonomy":"category","description":"","parent":4,"count":4,"filter":"raw","cat_ID":8,"category_count":4,"category_description":"","cat_name":"Data Visualization","category_nicename":"data-visualization","category_parent":4}],"tag_info":false,"_links":{"self":[{"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/posts\/388"}],"collection":[{"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/comments?post=388"}],"version-history":[{"count":4,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/posts\/388\/revisions"}],"predecessor-version":[{"id":1316,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/posts\/388\/revisions\/1316"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/media\/82"}],"wp:attachment":[{"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/media?parent=388"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/categories?post=388"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/tags?post=388"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}