{"id":143671,"date":"2024-12-05T11:50:01","date_gmt":"2024-12-05T06:20:01","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=143671"},"modified":"2025-06-24T14:47:44","modified_gmt":"2025-06-24T09:17:44","slug":"displot-in-seaborn","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/","title":{"rendered":"Displot in Seaborn"},"content":{"rendered":"

Program 1<\/h3>\n

Seaborn Dataset<\/strong><\/a><\/p>\n

import pandas as pd\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nimport seaborn as sns\r\n\r\n\r\ndf_tips=pd.read_csv(\"D:\/\/scikit_data\/Billing\/tips.csv\")\r\n\r\n\r\ndf_tips.head()\r\n\r\n\r\ndf_tips.shape\r\n\r\n\r\ndf_tips.isnull().sum()\r\n\r\n\r\ndf_tips.info()\r\n\r\n\r\nsns.displot(x='total_bill',data=df_tips)\r\n\r\n\r\nsns.displot(x='total_bill',data=df_tips,bins=100)\r\n\r\n\r\nsns.displot(x='total_bill',data=df_tips)\r\n\r\n\r\nsns.displot(x='total_bill',data=df_tips,kind='hist')\r\n\r\n\r\n# # kde=Karnel Denstity Estimeter\r\nsns.displot(x='total_bill',data=df_tips,kind='kde')\r\n\r\n\r\n#ecdf= Empirical Cumulative Distribution Functin plot \r\nsns.displot(x='total_bill',data=df_tips,kind='ecdf')\r\n\r\n\r\nsns.set_style('dark')\r\nsns.displot(x='total_bill',data=df_tips)\r\n\r\n\r\nsns.displot(x='total_bill',data=df_tips,kde=True)\r\n\r\nsns.displot(x='total_bill',data=df_tips, kind='kde',rug=True,fill=True)\r\n\r\n\r\ndf_tips.head()\r\n\r\n\r\nsns.displot(x='total_bill',data=df_tips, hue='day')\r\n\r\n\r\nsns.displot(x='total_bill',data=df_tips, hue='day', kind='kde',fill=True,rug=True)\r\n\r\n\r\nsns.displot(x='tip',y='size',data=df_tips) \r\n\r\n\r\nsns.displot(x='tip',y='size',data=df_tips, kind='kde',rug=True)\r\n\r\n\r\nsns.displot(x='size',data=df_tips,hue='sex', col='sex',height=2)\r\n\r\n\r\nsns.displot(x='total_bill',data=df_tips)\r\n\r\n\r\nsns.displot(x='total_bill',data=df_tips, height=2,aspect=2.5,kind='hist')\r\n\r\n\r\nsns.displot(x='total_bill',data=df_tips,kind='kde',fill=True,rug=True,lw=2)\r\n\r\n\r\ndf_tips['size']\r\n\r\n\r\nsns.displot(x='size',data=df_tips,kind='ecdf')\r\n<\/pre>\n
 
Program 1 Seaborn Dataset import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns df_tips=pd.read_csv(“D:\/\/scikit_data\/Billing\/tips.csv”) df_tips.head() df_tips.shape df_tips.isnull().sum() df_tips.info() sns.displot(x=’total_bill’,data=df_tips) sns.displot(x=’total_bill’,data=df_tips,bins=100) sns.displot(x=’total_bill’,data=df_tips) sns.displot(x=’total_bill’,data=df_tips,kind=’hist’) # # kde=Karnel Denstity Estimeter...<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36],"tags":[33233,33231,33234,8431,33127,33128,12666,33232,33219,33220],"class_list":["post-143671","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-displot","tag-displot-in-seaborn","tag-how-to-plot-displot-in-seaborn","tag-machine-learning","tag-machine-learning-practical","tag-machine-learning-program","tag-seaborn","tag-seaborn-displot","tag-seaborn-practical","tag-seaborn-program"],"yoast_head":"\nDisplot in Seaborn - DataFlair<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Displot in Seaborn - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 Seaborn Dataset import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns df_tips=pd.read_csv("D:\/\/scikit_data\/Billing\/tips.csv") df_tips.head() df_tips.shape df_tips.isnull().sum() df_tips.info() sns.displot(x='total_bill',data=df_tips) sns.displot(x='total_bill',data=df_tips,bins=100) sns.displot(x='total_bill',data=df_tips) sns.displot(x='total_bill',data=df_tips,kind='hist') # # kde=Karnel Denstity Estimeter...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/\" \/>\n<meta property=\"og:site_name\" content=\"DataFlair\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataFlairWS\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-12-05T06:20:01+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-24T09:17:44+00:00\" \/>\n<meta name=\"author\" content=\"DataFlair Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:site\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"DataFlair Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Displot in Seaborn - DataFlair","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/","og_locale":"en_US","og_type":"article","og_title":"Displot in Seaborn - DataFlair","og_description":"Program 1 Seaborn Dataset import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns df_tips=pd.read_csv(\"D:\/\/scikit_data\/Billing\/tips.csv\") df_tips.head() df_tips.shape df_tips.isnull().sum() df_tips.info() sns.displot(x='total_bill',data=df_tips) sns.displot(x='total_bill',data=df_tips,bins=100) sns.displot(x='total_bill',data=df_tips) sns.displot(x='total_bill',data=df_tips,kind='hist') # # kde=Karnel Denstity Estimeter...","og_url":"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2024-12-05T06:20:01+00:00","article_modified_time":"2025-06-24T09:17:44+00:00","author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Displot in Seaborn","datePublished":"2024-12-05T06:20:01+00:00","dateModified":"2025-06-24T09:17:44+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/"},"wordCount":7,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["displot","displot in seaborn","how to plot displot in seaborn","machine learning","machine learning practical","machine learning program","seaborn","seaborn displot","seaborn practical","seaborn program"],"articleSection":["Machine Learning Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/","url":"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/","name":"Displot in Seaborn - DataFlair","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/#website"},"datePublished":"2024-12-05T06:20:01+00:00","dateModified":"2025-06-24T09:17:44+00:00","breadcrumb":{"@id":"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/data-flair.training\/blogs\/displot-in-seaborn\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Blog Home","item":"https:\/\/data-flair.training\/blogs\/"},{"@type":"ListItem","position":2,"name":"Machine Learning Tutorials","item":"https:\/\/data-flair.training\/blogs\/category\/machine-learning\/"},{"@type":"ListItem","position":3,"name":"Displot in Seaborn"}]},{"@type":"WebSite","@id":"https:\/\/data-flair.training\/blogs\/#website","url":"https:\/\/data-flair.training\/blogs\/","name":"DataFlair","description":"Learn Today. Lead Tomorrow.","publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/data-flair.training\/blogs\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/data-flair.training\/blogs\/#organization","name":"DataFlair","url":"https:\/\/data-flair.training\/blogs\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/logo\/image\/","url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2016\/07\/Data-Flair.png","contentUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2016\/07\/Data-Flair.png","width":106,"height":48,"caption":"DataFlair"},"image":{"@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataFlairWS\/","https:\/\/x.com\/DataFlairWS","https:\/\/www.linkedin.com\/company\/dataflair-web-services-pvt-ltd\/","https:\/\/www.youtube.com\/user\/DataFlairWS"]},{"@type":"Person","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445","name":"DataFlair Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/2302ebc438084d2f1f993edc1996a0aae01332e81f3227cba8df0c48ec010ca4?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/2302ebc438084d2f1f993edc1996a0aae01332e81f3227cba8df0c48ec010ca4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/2302ebc438084d2f1f993edc1996a0aae01332e81f3227cba8df0c48ec010ca4?s=96&d=mm&r=g","caption":"DataFlair Team"},"description":"DataFlair Team provides high-impact content on programming, Java, Python, C++, DSA, AI, ML, data Science, Android, Flutter, MERN, Web Development, and technology. We make complex concepts easy to grasp, helping learners of all levels succeed in their tech careers.","url":"https:\/\/data-flair.training\/blogs\/author\/dfteam6\/"}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/143671","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/users\/581"}],"replies":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/comments?post=143671"}],"version-history":[{"count":5,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/143671\/revisions"}],"predecessor-version":[{"id":145588,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/143671\/revisions\/145588"}],"wp:attachment":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/media?parent=143671"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/categories?post=143671"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/tags?post=143671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}