{"id":223375,"date":"2024-01-22T06:30:00","date_gmt":"2024-01-22T06:30:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=223375"},"modified":"2024-01-19T12:39:40","modified_gmt":"2024-01-19T12:39:40","slug":"comparatif-bibliotheques-pyton-dataviz","status":"publish","type":"post","link":"https:\/\/datascientest.com\/comparatif-bibliotheques-pyton-dataviz","title":{"rendered":"Comparatif des principales biblioth\u00e8ques Python pour la dataviz"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"223375\" class=\"elementor elementor-223375\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-43e21ee e-flex e-con-boxed e-con\" data-id=\"43e21ee\" 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-b3b2610 elementor-widget elementor-widget-heading\" data-id=\"b3b2610\" 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><h2 class=\"elementor-heading-title elementor-size-default\">La visualisation de donn\u00e9es joue un r\u00f4le essentiel dans l\u2019analyse et la communication des informations : en effet elle permet d'avoir un premier aper\u00e7u sur nos donn\u00e9es et leur composition de fa\u00e7on facilement exploitable et interpr\u00e9table.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d0594e8 elementor-widget elementor-widget-text-editor\" data-id=\"d0594e8\" 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<p><span style=\"font-weight: 400;\">Elle est tellement importante qu\u2019il existe une <\/span><b>vari\u00e9t\u00e9 importante de librairies sur Python qui s\u2019adaptent aux besoins sp\u00e9cifiques<\/b><span style=\"font-weight: 400;\">. Mais comment choisir quelle librairie utiliser ? Il faut toujours tenir en compte le but avec lequel on fait ces visualisations : est-ce que les graphiques seront utilis\u00e9s dans un Jupyter Notebook ou dans une application web ? Est-ce qu\u2019il faut qu\u2019ils soient interactifs ?<\/span><\/p><p><span style=\"font-weight: 400;\">Dans cet article, nous allons passer en revue quelques-unes des principales librairies de visualisation de donn\u00e9es en Python : Matplotlib, Seaborn, Plotly et Bokeh.<\/span><\/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-935ee16 e-flex e-con-boxed e-con\" data-id=\"935ee16\" 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-314f555 elementor-widget elementor-widget-heading\" data-id=\"314f555\" 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\"><a href=\"https:\/\/matplotlib.org\/?ref=jrashford.com\">Matplotlib<\/a> (<a href=\"https:\/\/github.com\/matplotlib\/matplotlib?ref=jrashford.com\">GitHub<\/a>)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-911a0e7 elementor-widget elementor-widget-text-editor\" data-id=\"911a0e7\" 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;\">Il s\u2019agit peut-\u00eatre de la librairie Python <\/span><b>la plus connue<\/b><span style=\"font-weight: 400;\"> et la <\/span><b>plus utilis\u00e9e<\/b><span style=\"font-weight: 400;\"> parmi la communaut\u00e9 Python pour la production de divers types de graphiques ainsi que leur exportation en formats tels que PNG et SVG. Elle a \u00e9t\u00e9 cr\u00e9\u00e9e pour ressembler aux graphiques MATLAB, langage de programmation d\u00e9velopp\u00e9 dans les ann\u00e9es 80s. <a href=\"https:\/\/datascientest.com\/matplotlib-tout-savoir\">Matplotlib<\/a> est une librairie tr\u00e8s <\/span><b>versatile<\/b><span style=\"font-weight: 400;\"> qui peut faire quoi que ce soit : des graphiques lin\u00e9aires simples comme des graphiques de r\u00e9seau plus complexes. Par contre, elle lui manque la possibilit\u00e9 de faire des graphiques \u00e0 qualit\u00e9 de publication de fa\u00e7on rapide et facile. Il s\u2019agit d\u2019un outil puissant mais complexe.<\/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-634a3d7 elementor-widget elementor-widget-image\" data-id=\"634a3d7\" 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\t\t\t<img decoding=\"async\" width=\"800\" height=\"400\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_matplotlib.png\" class=\"attachment-large size-large wp-image-223396\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_matplotlib.png 800w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_matplotlib-300x150.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_matplotlib-768x384.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\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-415eeb0 elementor-widget elementor-widget-heading\" data-id=\"415eeb0\" 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-medium\"><u>Avantages<\/u> :<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2b96a4b elementor-widget elementor-widget-text-editor\" data-id=\"2b96a4b\" 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<ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Polyvalence <\/b><span style=\"font-weight: 400;\">: Matplotlib est l&rsquo;une des librairies de visualisation de donn\u00e9es les plus anciennes et les plus robustes en Python. Elle offre une grande flexibilit\u00e9 pour cr\u00e9er une grande vari\u00e9t\u00e9 de graphiques.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Compatibilit\u00e9 <\/b><span style=\"font-weight: 400;\">: Matplotlib est compatible avec de nombreuses plateformes et prend en charge divers formats de sortie, tels que les graphiques statiques, les graphiques interactifs et plus encore.<\/span><\/li><li><b>Communaut\u00e9 active<\/b><span style=\"font-weight: 400;\"> : Matplotlib a une communaut\u00e9 active qui contribue constamment \u00e0 son d\u00e9veloppement.<\/span><\/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-afaf0c4 elementor-widget elementor-widget-heading\" data-id=\"afaf0c4\" 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-medium\"><u>Limitations<\/u> :<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b5aa89d elementor-widget elementor-widget-text-editor\" data-id=\"b5aa89d\" 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<ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Complexit\u00e9 syntaxique<\/b><span style=\"font-weight: 400;\"> : Pour des trac\u00e9s avanc\u00e9s, la syntaxe peut \u00eatre complexe et n\u00e9cessite souvent une personnalisation minutieuse.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Esth\u00e9tique par d\u00e9faut<\/b><span style=\"font-weight: 400;\"> : Les graphiques par d\u00e9faut peuvent manquer de style et de sophistication.<\/span><\/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-3144466 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"3144466\" 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\/formation-data-scientist\">\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\">Ma\u00eetriser Matplotlib<\/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<div class=\"elementor-element elementor-element-1db3e97 e-flex e-con-boxed e-con\" data-id=\"1db3e97\" 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-9db5bb3 elementor-widget elementor-widget-heading\" data-id=\"9db5bb3\" 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\"><a href=\"https:\/\/seaborn.pydata.org\/?ref=jrashford.com\">Seaborn<\/a> (<a href=\"https:\/\/github.com\/mwaskom\/seaborn?ref=jrashford.com\">GitHub<\/a>)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-55f6903 elementor-widget elementor-widget-text-editor\" data-id=\"55f6903\" 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;\"><a href=\"https:\/\/datascientest.com\/seaborn-tout-savoir\">Seaborn<\/a> h\u00e9rite pas mal de features de Matplotlib puisqu\u2019elle est d\u00e9finie comme une <\/span><b>librairie Python bas\u00e9 sur Matplotlib<\/b><span style=\"font-weight: 400;\">. Seaborn essaie de simplifier la production de graphiques statistiques de sorte qu\u2019elles soient attractives et informatives. Elle fournit une interface de haut niveau que Matplotlib manque en cr\u00e9ant de graphiques <\/span><b>esth\u00e9tiques <\/b><span style=\"font-weight: 400;\">et <\/span><b>modernes <\/b><span style=\"font-weight: 400;\">avec peu de lignes de code.<\/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-cb9e6ba elementor-widget elementor-widget-image\" data-id=\"cb9e6ba\" 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\t\t\t<img decoding=\"async\" width=\"800\" height=\"400\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_seaborn.png\" class=\"attachment-large size-large wp-image-223395\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_seaborn.png 800w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_seaborn-300x150.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_seaborn-768x384.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\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-e24593c elementor-widget elementor-widget-heading\" data-id=\"e24593c\" 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-medium\"><u>Avantages<\/u> :<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-95579e2 elementor-widget elementor-widget-text-editor\" data-id=\"95579e2\" 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<ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Esth\u00e9tiquement plaisant <\/b><span style=\"font-weight: 400;\">: Seaborn offre des styles par d\u00e9faut qui sont esth\u00e9tiquement attrayants, ce qui en fait un excellent choix pour la visualisation rapide de donn\u00e9es.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Facilit\u00e9 d&rsquo;utilisation <\/b><span style=\"font-weight: 400;\">: La syntaxe de Seaborn est intuitive et moins verbeuse que celle de Matplotlib pour de nombreux types de graphiques.<\/span><\/li><li><b>Exploration de donn\u00e9es avanc\u00e9e<\/b><span style=\"font-weight: 400;\"> : Seaborn est particuli\u00e8rement adapt\u00e9 \u00e0 l&rsquo;exploration de donn\u00e9es et \u00e0 la cr\u00e9ation de graphiques complexes.<\/span><\/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-8e650de elementor-widget elementor-widget-heading\" data-id=\"8e650de\" 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-medium\"><u>Limitations<\/u> :<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-035719c elementor-widget elementor-widget-text-editor\" data-id=\"035719c\" 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<ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Moins polyvalent<\/b><span style=\"font-weight: 400;\"> : Bien que Seaborn offre une grande vari\u00e9t\u00e9 de graphiques, il peut \u00eatre moins flexible que Matplotlib pour les trac\u00e9s tr\u00e8s personnalis\u00e9s.<\/span><\/li><li><b>Il faut conna\u00eetre Matplotlib<\/b><span style=\"font-weight: 400;\"> : puisqu\u2019elle est bas\u00e9e sur Matplotlib, il faut s\u2019y conna\u00eetre si l\u2019on souhaite changer les param\u00e8tres par d\u00e9faut.<\/span><\/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-fd0d04f elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"fd0d04f\" 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\/formation-data-scientist\">\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\">Ma\u00eetriser Seaborn<\/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<div class=\"elementor-element elementor-element-f86874f e-flex e-con-boxed e-con\" data-id=\"f86874f\" 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-fb0596a elementor-widget elementor-widget-heading\" data-id=\"fb0596a\" 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\"><a href=\"https:\/\/bokeh.org\/?ref=jrashford.com\">Bokeh<\/a> (<a href=\"https:\/\/github.com\/bokeh\/bokeh?ref=jrashford.com\">GitHub<\/a>)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-47acb57 elementor-widget elementor-widget-text-editor\" data-id=\"47acb57\" 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;\">Il s\u2019agit d\u2019une librairie sp\u00e9cialis\u00e9e en cr\u00e9ant des <\/span><b>visualisations interactives pour des navigateurs web<\/b><span style=\"font-weight: 400;\">. Elle est bas\u00e9e sur le livre <\/span><i><span style=\"font-weight: 400;\">The Grammar of Graphics <\/span><\/i><span style=\"font-weight: 400;\">par Leland Wilkinson. Il s\u2019agit d\u2019un outil puissant qui permet de cr\u00e9er des graphiques interactifs et pr\u00eats \u00e0 l\u2019emploi web et qui peuvent \u00eatre facilement export\u00e9s en format JSON, HTML ou applications web interactives. <a href=\"https:\/\/datascientest.com\/bokeh-python-tout-savoir\">Bokeh<\/a> permet \u00e9galement le <\/span><b>streaming <\/b><span style=\"font-weight: 400;\">et l\u2019<\/span><b>affichage des donn\u00e9es en temps r\u00e9el<\/b><span style=\"font-weight: 400;\">. Par contre, elle n\u2019a pas de param\u00e8tres par d\u00e9faut et il faut d\u00e9finir chaque \u00e9l\u00e9ment du graphique.<\/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-feaa272 elementor-widget elementor-widget-image\" data-id=\"feaa272\" 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\t\t\t<img decoding=\"async\" width=\"800\" height=\"400\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_bokeh.png\" class=\"attachment-large size-large wp-image-223394\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_bokeh.png 800w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_bokeh-300x150.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_bokeh-768x384.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\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-36fcf78 elementor-widget elementor-widget-heading\" data-id=\"36fcf78\" 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-medium\"><u>Avantages<\/u> :<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a05f068 elementor-widget elementor-widget-text-editor\" data-id=\"a05f068\" 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<ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Interactivit\u00e9 avanc\u00e9e<\/b><span style=\"font-weight: 400;\"> : Bokeh excelle dans la cr\u00e9ation de graphiques interactifs avec des fonctionnalit\u00e9s de zoom, de survol, etc.<\/span><\/li><li><b>Compatibilit\u00e9 avec les applications web <\/b><span style=\"font-weight: 400;\">: Il est bien adapt\u00e9 pour int\u00e9grer des graphiques dans des applications web.<\/span><\/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-8a3be83 elementor-widget elementor-widget-heading\" data-id=\"8a3be83\" 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-medium\"><u>Limitations<\/u> :<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bf8955e elementor-widget elementor-widget-text-editor\" data-id=\"bf8955e\" 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<ul><li><b>Courbe d&rsquo;apprentissage<\/b><span style=\"font-weight: 400;\"> : L&rsquo;apprentissage de Bokeh peut \u00eatre plus exigeant que certaines autres librairies.<\/span><\/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-f4173e4 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"f4173e4\" 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\/formation-data-scientist\">\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\">Ma\u00eetriser Bokeh<\/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<div class=\"elementor-element elementor-element-172458e e-con-full e-flex e-con\" data-id=\"172458e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1a78715 elementor-widget elementor-widget-heading\" data-id=\"1a78715\" 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\"><a href=\"https:\/\/plotly.com\/python\/?ref=jrashford.com\">Plotly<\/a> (<a href=\"https:\/\/github.com\/plotly\/plotly.py?ref=jrashford.com\">GitHub<\/a>)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ac93307 elementor-widget elementor-widget-text-editor\" data-id=\"ac93307\" 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<span style=\"font-weight: 400;\">Avant d\u2019\u00eatre une librairie Python, <a href=\"https:\/\/datascientest.com\/realiser-de-la-data-visualisation-grace-a-plotly\">Plotly<\/a> est une entreprise bas\u00e9e \u00e0 Montr\u00e9al qui cr\u00e9e des outils de visualisation scientifique pour Python, R, MATLAB, Perl, Julia, entre autres. Tout comme Bokeh, la puissance de Plotly est la cr\u00e9ation de <\/span><b>graphiques interactifs pr\u00eates \u00e0 l\u2019utilisation web<\/b><span style=\"font-weight: 400;\">. Sa valeur ajout\u00e9e ? Son offre de graphiques qui ne sont pas commun\u00e9ment disponibles dans d\u2019autres librairies, par exemple des <a href=\"https:\/\/plotly.com\/python\/#3d-charts\">graphiques en 3D<\/a> ou bien des <a href=\"https:\/\/plotly.com\/python\/#animations\">graphiques anim\u00e9s<\/a>.<\/span>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a19fab elementor-widget elementor-widget-image\" data-id=\"6a19fab\" 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\t\t\t<img decoding=\"async\" width=\"800\" height=\"400\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_plotly.png\" class=\"attachment-full size-full wp-image-223393\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_plotly.png 800w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_plotly-300x150.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dataviz_plotly-768x384.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\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-ce979b3 elementor-widget elementor-widget-heading\" data-id=\"ce979b3\" 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-medium\"><u>Avantages<\/u> :<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a5ba303 elementor-widget elementor-widget-text-editor\" data-id=\"a5ba303\" 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<ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Interactivit\u00e9 <\/b><span style=\"font-weight: 400;\">: Plotly est connu pour ses graphiques interactifs, ce qui en fait un excellent choix pour les applications web et les tableaux de bord interactifs.<\/span><\/li><li><b>Documentation riche <\/b><span style=\"font-weight: 400;\">: Plotly a une documentation d\u00e9taill\u00e9e et une communaut\u00e9 active qui facilite l&rsquo;apprentissage et la r\u00e9solution de probl\u00e8mes.<\/span><\/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-f1a450c elementor-widget elementor-widget-heading\" data-id=\"f1a450c\" 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-medium\"><u>Limitations<\/u> :<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-73f3f46 elementor-widget elementor-widget-text-editor\" data-id=\"73f3f46\" 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<ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Complexit\u00e9 pour les d\u00e9butants <\/b><span style=\"font-weight: 400;\">: Plotly peut sembler plus complexe pour les d\u00e9butants en raison de sa syntaxe plus avanc\u00e9e.<\/span><\/li><li><b>Prix <\/b><span style=\"font-weight: 400;\">: Bien que Plotly dispose d&rsquo;une version open source, certaines fonctionnalit\u00e9s avanc\u00e9es n\u00e9cessitent un abonnement payant.<\/span><\/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-9691551 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"9691551\" 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\/formation-data-scientist\">\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\">Ma\u00eetriser Ploty<\/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<\/div>\n\t\t<div class=\"elementor-element elementor-element-3604e3d e-flex e-con-boxed e-con\" data-id=\"3604e3d\" 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-aa59d4b elementor-widget elementor-widget-text-editor\" data-id=\"aa59d4b\" 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;\">En conclusion, <\/span><b>le choix de la librairie de visualisation de donn\u00e9es d\u00e9pendra de vos besoins sp\u00e9cifiques<\/b><span style=\"font-weight: 400;\">. Matplotlib et Seaborn sont des choix solides pour une grande vari\u00e9t\u00e9 de t\u00e2ches, tandis que Plotly excelle dans les applications interactives. Bokeh est particuli\u00e8rement recommand\u00e9 pour les applications web n\u00e9cessitant des graphiques interactifs avanc\u00e9s. <\/span><b>Chaque librairie a ses forces et faiblesses, et il est souvent judicieux de les combiner en fonction des exigences du projet.<\/b><\/p><p><span style=\"font-weight: 400;\">Si vous souhaitez en apprendre davantage sur la datavisualisation n&rsquo;h\u00e9sitez pas \u00e0 vous renseigner sur nos formations en Data Analyst ou, pour aller un peu plus loin, en Data Scientist.<\/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-bc95b3b elementor-widget elementor-widget-html\" data-id=\"bc95b3b\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Qu\u2019est-ce que la librairie Python ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"La visualisation de donn\u00e9es joue un r\u00f4le essentiel dans l\u2019analyse et la communication des informations : en effet elle permet d'avoir un premier aper\u00e7u sur nos donn\u00e9es et leur composition de fa\u00e7on facilement exploitable et interpr\u00e9table.Elle est tellement importante qu\u2019il existe une vari\u00e9t\u00e9 importante de librairies sur Python qui s\u2019adaptent aux besoins sp\u00e9cifiques.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Quelles sont les diff\u00e9rentes librairies Dataviz Python ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Les principales librairies de visualisation de donn\u00e9es en Python sont Matplotlib, Seaborn, Plotly et Bokeh.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Matplotlib\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Il s\u2019agit peut-\u00eatre de la librairie Python la plus connue et la plus utilis\u00e9e parmi la communaut\u00e9 Python pour la production de divers types de graphiques ainsi que leur exportation en formats tels que PNG et SVG. Elle a \u00e9t\u00e9 cr\u00e9\u00e9e pour ressembler aux graphiques MATLAB, langage de programmation d\u00e9velopp\u00e9 dans les ann\u00e9es 80s. Matplotlib est une librairie tr\u00e8s versatile qui peut faire quoi que ce soit : des graphiques lin\u00e9aires simples comme des graphiques de r\u00e9seau plus complexes. Par contre, elle lui manque la possibilit\u00e9 de faire des graphiques \u00e0 qualit\u00e9 de publication de fa\u00e7on rapide et facile. Il s\u2019agit d\u2019un outil puissant mais complexe.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Seaborn\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Seaborn h\u00e9rite pas mal de features de Matplotlib puisqu\u2019elle est d\u00e9finie comme une librairie Python bas\u00e9 sur Matplotlib. Seaborn essaie de simplifier la production de graphiques statistiques de sorte qu\u2019elles soient attractives et informatives. Elle fournit une interface de haut niveau que Matplotlib manque en cr\u00e9ant de graphiques esth\u00e9tiques et modernes avec peu de lignes de code.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Bokeh\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Il s\u2019agit d\u2019une librairie sp\u00e9cialis\u00e9e en cr\u00e9ant des visualisations interactives pour des navigateurs web. Elle est bas\u00e9e sur le livre The Grammar of Graphics par Leland Wilkinson. Il s\u2019agit d\u2019un outil puissant qui permet de cr\u00e9er des graphiques interactifs et pr\u00eats \u00e0 l\u2019emploi web et qui peuvent \u00eatre facilement export\u00e9s en format JSON, HTML ou applications web interactives. Bokeh permet \u00e9galement le streaming et l\u2019affichage des donn\u00e9es en temps r\u00e9el. Par contre, elle n\u2019a pas de param\u00e8tres par d\u00e9faut et il faut d\u00e9finir chaque \u00e9l\u00e9ment du graphique.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Plotly\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Avant d\u2019\u00eatre une librairie Python, Plotly est une entreprise bas\u00e9e \u00e0 Montr\u00e9al qui cr\u00e9e des outils de visualisation scientifique pour Python, R, MATLAB, Perl, Julia, entre autres. Tout comme Bokeh, la puissance de Plotly est la cr\u00e9ation de graphiques interactifs pr\u00eates \u00e0 l\u2019utilisation web. Sa valeur ajout\u00e9e ? Son offre de graphiques qui ne sont pas commun\u00e9ment disponibles dans d\u2019autres librairies, par exemple des graphiques en 3D ou bien des graphiques anim\u00e9s.\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\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>La visualisation de donn\u00e9es joue un r\u00f4le essentiel dans l\u2019analyse et la communication des informations : en effet elle permet d&rsquo;avoir un premier aper\u00e7u sur nos donn\u00e9es et leur composition de fa\u00e7on facilement exploitable et interpr\u00e9table. Elle est tellement importante qu\u2019il existe une vari\u00e9t\u00e9 importante de librairies sur Python qui s\u2019adaptent aux besoins sp\u00e9cifiques. Mais [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":223377,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2497],"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>Comparatif des principales biblioth\u00e8ques Python pour la dataviz<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez notre comparatif des principales biblioth\u00e8ques Python de datavisualisation : Plotly, Bokeh, Seaborn, Matplotlib.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/comparatif-bibliotheques-pyton-dataviz\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Comparatif des principales biblioth\u00e8ques Python pour la dataviz\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/comparatif-bibliotheques-pyton-dataviz\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-22T06:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-19T12:39:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/Illu_BLOG__dataviz_python.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"562\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"J\u00e9r\u00e9my Robert\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"J\u00e9r\u00e9my Robert\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/comparatif-bibliotheques-pyton-dataviz\",\"url\":\"https:\/\/datascientest.com\/comparatif-bibliotheques-pyton-dataviz\",\"name\":\"Comparatif des principales biblioth\u00e8ques Python pour la dataviz\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2024-01-22T06:30:00+00:00\",\"dateModified\":\"2024-01-19T12:39:40+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/7af2361c48e24e79a8aa2360e6e74925\"},\"description\":\"D\u00e9couvrez notre comparatif des principales biblioth\u00e8ques Python de datavisualisation : Plotly, Bokeh, Seaborn, Matplotlib.\",\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/comparatif-bibliotheques-pyton-dataviz\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/#website\",\"url\":\"https:\/\/datascientest.com\/\",\"name\":\"Formation Data Science | DataScientest.com\",\"description\":\"Leader de la formation en Data Science\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/7af2361c48e24e79a8aa2360e6e74925\",\"name\":\"J\u00e9r\u00e9my Robert\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/jeremyrobert.jpeg\",\"contentUrl\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/jeremyrobert.jpeg\",\"caption\":\"J\u00e9r\u00e9my Robert\"},\"description\":\"J\u00e9r\u00e9my Robert est actuellement Directeur p\u00e9dagogique B2B chez DataScientest.com. 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