{"id":172387,"date":"2023-10-29T20:34:20","date_gmt":"2023-10-29T19:34:20","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=172387"},"modified":"2023-10-29T20:40:49","modified_gmt":"2023-10-29T19:40:49","slug":"data-visualization-with-plotly","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/data-visualization-with-plotly","title":{"rendered":"Data visualization with Plotly"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"172387\" class=\"elementor elementor-172387\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2b433dd1 e-flex e-con-boxed e-con\" data-id=\"2b433dd1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2d782b52 elementor-widget elementor-widget-text-editor\" data-id=\"2d782b52\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h2>It&#8217;s good to know that Plotly, before being a well-known Python library, is a Montreal-based company founded by four people. Its aim is to develop visualization and data analysis tools. In this article, we&#8217;ll take a closer look at the plotly Python library.<\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5949eb45 e-flex e-con-boxed e-con\" data-id=\"5949eb45\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1fefa087 elementor-widget elementor-widget-heading\" data-id=\"1fefa087\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">What other tools does Plotly offer?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6e61c866 elementor-widget elementor-widget-text-editor\" data-id=\"6e61c866\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The company&#8217;s products are diverse and varied.<\/p><p>One of them is the <strong>Dash Python framework<\/strong> for developing web applications. It offers web applications deployed through a web browser, enabling <a href=\"https:\/\/datascientest.com\/en\/dataviz-definition-objectives-and-uses\">online data visualization<\/a> to be shared. Chart studio is another example of a tool created by the company. It is a software infrastructure for storing charts on a public or private interface. In public mode, pre-designed charts are made available to all users for download.<\/p><p>Among the various tools and libraries that Plotly provides in the <a href=\"https:\/\/datascientest.com\/en\/data-analyst-salary-average-salary-revealed\">field of statistics and data analysis<\/a>, we will, in the remainder of this article, take a look at the famous <strong>Plotly library.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-14fc2bdc e-flex e-con-boxed e-con\" data-id=\"14fc2bdc\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-51500ea1 elementor-widget elementor-widget-heading\" data-id=\"51500ea1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What libraries does Plotly offer for data-visualization?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32f8ea00 elementor-widget elementor-widget-heading\" data-id=\"32f8ea00\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">1. Comparison with matplotlib<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-faf07c9 elementor-widget elementor-widget-text-editor\" data-id=\"faf07c9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Thanks to the development of various APIs, <a href=\"https:\/\/datascientest.com\/en\/python-tutorial-reasons-and-strategies-for-learning-the-language\">Plotly is a library available in several programming languages, including Python<\/a> (plotly.py), Java (plotly.js), R, Julia, Matlab and others. It can be used to create a wide variety of complex graphs. In the following, we&#8217;ll be looking at Plotly in Python, as it&#8217;s the most <a href=\"https:\/\/datascientest.com\/en\/mlops-devops-applied-to-machine-learning-projects\">popular language in Machine Learning,<\/a> as well as being one of the easiest to learn.<\/p><p>However, in this language, there is already a graphics library, much older than Plotly, called Matplotlib.<\/p><p><strong>Matplotlib<\/strong> can also be used to create a variety of graphics with just a few lines of code, and appears to be fairly comprehensive.<\/p><p>The question is, how does Plotly differ from Matplotlib? What is Plotly&#8217;s added value?<\/p><p>The answer lies in the additional modes offered by Plotly.<\/p><p>Unlike Matplotlib, Plotly is a collaborative, interactive library. Thanks to Chart studio, it offers a web service and a collaborative mode which, as mentioned above, enables data graphs to be uploaded and saved to a personal account.<\/p><p>Interaction with the various <strong>Plotly servers<\/strong> enables the creation of this web service and collaborative mode. However, it is possible to activate a mode (by importing the offline package) which prevents the distribution of graphs on the cloud and makes them accessible only locally. In this way, the connection between the various Plotly servers is interrupted and the collaborative mode stopped.<\/p><p>Data visualization with <strong>Plotly is also more advanced than with Matplotlib<\/strong>. Over 40 different types of graph can be created, ranging from classic graphs to interactive, animated and 3D graphs.<\/p><p>In addition to its ease of use and ability to customize graphs, another major advantage of Plotly is its ability to <a href=\"https:\/\/datascientest.com\/en\/database-what-is-it\">detect outliers in even the largest databases.<\/a> In fact, with Plotly, data information can be accessed simply by pointing the mouse over the graph. By reading the graph, outliers can be identified and recovered.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54dc004d elementor-widget elementor-widget-heading\" data-id=\"54dc004d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">2. Plotly's sub-bookshops<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9bcdf65 elementor-widget elementor-widget-text-editor\" data-id=\"9bcdf65\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In this section, we&#8217;ll introduce some of Plotly&#8217;s most important libraries, each of which provides additional tools.<\/p><ul><li><strong>plotly.offline<\/strong> is a library that allows you to store graphs on your local computer and generate them offline by opening them in your web browser.<\/li><li><strong>plotly.plotly<\/strong> is a sub-library whose role is to establish the link between Plotly and your local machine. In other words, it&#8217;s an interface containing the functions to be executed in response to commands from the Plotly server.<\/li><li><strong>plotly.graph.objects<\/strong> provides objects for plotting graphs. It allows you to customize your graphs.<\/li><li><strong>plotly.express<\/strong> displays our graphs immediately.<\/li><li><strong>plotly.tools<\/strong> provides various additional tools. For example, it can be used to create subplots, i.e. a set of sub-graphs.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-823b0b4 elementor-widget elementor-widget-heading\" data-id=\"823b0b4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">3. Demonstrating how Plotly works<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-47d181f0 elementor-widget elementor-widget-text-editor\" data-id=\"47d181f0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In order to better understand how Plotly works, we&#8217;ll now try to visualize data through a concrete example. For this step, we have a database in the form of a csv file, giving access to information from the year 2016 on the bike rental system in Chicago called Divvy.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42fd53e8 elementor-widget elementor-widget-heading\" data-id=\"42fd53e8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Hist matplotlib vs plotly<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2b664a03 elementor-widget elementor-widget-text-editor\" data-id=\"2b664a03\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Below are 2 simple histograms showing the different types of travel in Montreal.<\/p><p>The first is a graph from Matplotlib and the second a histogram from Plotly.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5e80d5f0 elementor-widget elementor-widget-image\" data-id=\"5e80d5f0\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"328\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-13.png\" class=\"attachment-large size-large wp-image-172390\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-13.png 512w, https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-13-300x192.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-439faaa8 elementor-widget elementor-widget-image\" data-id=\"439faaa8\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"253\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-14.png\" class=\"attachment-large size-large wp-image-172391\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-14.png 512w, https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-14-300x148.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b30cc06 elementor-widget elementor-widget-text-editor\" data-id=\"b30cc06\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The graphs are quite similar. The major difference is the arrangement of several buttons visible at the top right of the graph created with Plotly. As an example, the first icon allows you to download the graph directly, resulting in an image of better quality than if it had been saved otherwise.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29675c2c elementor-widget elementor-widget-image\" data-id=\"29675c2c\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"266\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-15.png\" class=\"attachment-large size-large wp-image-172392\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-15.png 512w, https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-15-300x156.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-717e7b52 elementor-widget elementor-widget-text-editor\" data-id=\"717e7b52\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In the image above, the second icon shows a button available for zooming the histogram. The rest of the options are other functionalities for user interaction.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4b20bcf5 elementor-widget elementor-widget-heading\" data-id=\"4b20bcf5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Maps with Plotly<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-12c5843c elementor-widget elementor-widget-text-editor\" data-id=\"12c5843c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>With Plotly, you can <strong>create maps to visualize the mapping of the globe<\/strong>, a continent or even a city. Heatmaps, for example, are thermal figures that represent data in color according to frequency or position. The colors are displayed as a gradient on a frieze. For example, when creating a map showing the frequencies of our data, the more frequent a data value, the further its color on the frieze will move away from the rare value.<\/p><p>In our practical case, we&#8217;re going to use two straight lines drawn on a mapbox to display the two longest journeys made by bicycle. In other words, the routes where the point of departure and the point of arrival are the furthest apart in geographical terms.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7812a24a elementor-widget elementor-widget-image\" data-id=\"7812a24a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"274\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-16.png\" class=\"attachment-large size-large wp-image-172393\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-16.png 512w, https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-16-300x161.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c7449a2 elementor-widget elementor-widget-text-editor\" data-id=\"1c7449a2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>As mentioned above, by pointing the mouse at the data visible on the map, it is possible to obtain more information on the data in question. The two images below show the latitude and longitude of the two selected points.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8c76d34 elementor-widget elementor-widget-image\" data-id=\"8c76d34\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"275\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-17.png\" class=\"attachment-large size-large wp-image-172394\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-17.png 512w, https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-17-300x161.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4f7e1b2c elementor-widget elementor-widget-image\" data-id=\"4f7e1b2c\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"277\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-18.png\" class=\"attachment-large size-large wp-image-172395\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-18.png 512w, https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-18-300x162.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-434547c5 elementor-widget elementor-widget-heading\" data-id=\"434547c5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">3D graphs<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-22141c40 elementor-widget elementor-widget-text-editor\" data-id=\"22141c40\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>3D graphics, which are easy to create with Plotly, can provide a wealth of <a href=\"https:\/\/datascientest.com\/en\/matplotlib-master-data-visualization-in-python\">information in a single graphical representation.<\/a><\/p><p>Below, we see the distribution of a sample of bicycle stations used by people in relation to their longitude and latitude. In the third dimension, the stations are distributed according to their monthly use. They are represented by dots of varying size, depending on the frequency of use.<\/p><p>In addition, a station is represented in red if it is most frequently used by men, and in blue if it is most frequently used by women.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-60233305 elementor-widget elementor-widget-image\" data-id=\"60233305\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"274\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-19.png\" class=\"attachment-large size-large wp-image-172396\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-19.png 512w, https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-19-300x161.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e163088 elementor-widget elementor-widget-text-editor\" data-id=\"e163088\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The 3D graphics are removable. They can be rotated and zoomed in all directions, for different views as required. Here are two examples.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c337c48 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"7c337c48\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/B3QNsrK3KW0&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b9dd5cb elementor-widget elementor-widget-text-editor\" data-id=\"5b9dd5cb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400; color: #000000;\">Below, the axis representing the months of the year is highlighted.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-77439a9c elementor-widget elementor-widget-heading\" data-id=\"77439a9c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Creating a drop-down menu with Plotly<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7ec3c3c3 elementor-widget elementor-widget-text-editor\" data-id=\"7ec3c3c3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>It is possible to modify a graph using a drop-down menu, allowing you to specify what you want to observe. Using the widgets library, we were able to create the diagram below, displaying the duration of journeys made by users on different days and in different months.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-579db62d elementor-widget elementor-widget-image\" data-id=\"579db62d\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"249\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-20.png\" class=\"attachment-large size-large wp-image-172397\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-20.png 512w, https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-20-300x146.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74f37cda elementor-widget elementor-widget-text-editor\" data-id=\"74f37cda\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The menu allows you to select the starting station for the trips, the weather on the day the trips were made and the month in which they took place. The histogram can be divided into days, with or without a check mark.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2c2241a6 elementor-widget elementor-widget-image\" data-id=\"2c2241a6\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"71\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-21.png\" class=\"attachment-large size-large wp-image-172398\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-21.png 512w, https:\/\/datascientest.com\/en\/files\/2023\/10\/unnamed-21-300x42.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54c7dda0 elementor-widget elementor-widget-heading\" data-id=\"54c7dda0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Results after using Plotly <\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3bb55b11 elementor-widget elementor-widget-text-editor\" data-id=\"3bb55b11\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Plotly is, without a doubt, a crucial tool in the field of data visualization. It&#8217;s easy to learn and use, and allows you to create complex, elaborate graphs with the aim of representing data accurately and making it easy to understand.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f480d38 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"3f480d38\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-management-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn how to use Plotly<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>It&#8217;s good to know that Plotly, before being a well-known Python library, is a Montreal-based company founded by four people. Its aim is to develop visualization and data analysis tools. In this article, we&#8217;ll take a closer look at the plotly Python library. What other tools does Plotly offer? The company&#8217;s products are diverse and [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":172388,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2420],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data visualization with Plotly<\/title>\n<meta name=\"description\" content=\"Dive into the world of data visualization with Plotly. 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