{"id":145503,"date":"2025-06-23T15:16:20","date_gmt":"2025-06-23T09:46:20","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145503"},"modified":"2025-06-24T14:48:47","modified_gmt":"2025-06-24T09:18:47","slug":"barplot-using-seaborn","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/barplot-using-seaborn\/","title":{"rendered":"Seaborn Barplot Method"},"content":{"rendered":"<div class='__iawmlf-post-loop-links' style='display:none;' data-iawmlf-post-links='[{&quot;id&quot;:49,&quot;href&quot;:&quot;https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1jVyz95j4wRq4hybUn4Q7pHb_a3iTEdtj\\\/view?usp=sharing&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251205120255\\\/https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1jVyz95j4wRq4hybUn4Q7pHb_a3iTEdtj\\\/view?usp=sharing&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-11 04:24:35&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-01-18 09:33:13&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-18 07:29:25&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-03 14:54:48&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-07 04:20:10&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-06-01 21:42:57&quot;,&quot;http_code&quot;:200}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-06-01 21:42:57&quot;,&quot;http_code&quot;:200},&quot;process&quot;:&quot;done&quot;}]'><\/div>\n<h3>Program 1<\/h3>\n<p><a href=\"https:\/\/drive.google.com\/file\/d\/1jVyz95j4wRq4hybUn4Q7pHb_a3iTEdtj\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><strong>Seaborn Dataset<\/strong><\/a><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\nimport numpy as np\r\nimport seaborn as sns\r\n\r\ndf_tip=pd.read_csv(\"D:\/\/scikit_data\/Billing\/tips.csv\")\r\n\r\ndf_tip.head()\r\n\r\ndf_tip.shape\r\n\r\ndf_tip.info()\r\n\r\ndf_tip.isnull().sum()\r\n\r\nsns.barplot(x='day',y='total_bill',hue='sex',data=df_tip,hue_order=['Male','Female'])\r\n\r\nsns.barplot(x='day',y='total_bill',hue='sex',hue_order=['Male','Female'],order=['Thur','Fri','Sat','Sun'],data=df_tip)\r\n\r\nsns.barplot(x='day',y='total_bill',hue='sex',data=df_tip)\r\n\r\nsns.barplot(x='day',y='total_bill',hue='sex',data=df_tip,ci=12)\r\n\r\nsns.barplot(x='day',y='total_bill',hue='sex',data=df_tip,orient='h')\r\n\r\nsns.barplot(y='day',x='total_bill',hue='sex',data=df_tip)\r\n\r\nsns.barplot(x='size',y='total_bill',hue='sex',data=df_tip,orient='v')\r\n\r\nsns.barplot(x='size',y='total_bill',hue='sex',data=df_tip,color='b')\r\n\r\nsns.barplot(x='size',y='total_bill',hue='sex',data=df_tip,palette='Accent')\r\n<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Seaborn Dataset import pandas as pd import numpy as np import seaborn as sns df_tip=pd.read_csv(&#8220;D:\/\/scikit_data\/Billing\/tips.csv&#8221;) df_tip.head() df_tip.shape df_tip.info() df_tip.isnull().sum() sns.barplot(x=&#8217;day&#8217;,y=&#8217;total_bill&#8217;,hue=&#8217;sex&#8217;,data=df_tip,hue_order=[&#8216;Male&#8217;,&#8217;Female&#8217;]) sns.barplot(x=&#8217;day&#8217;,y=&#8217;total_bill&#8217;,hue=&#8217;sex&#8217;,hue_order=[&#8216;Male&#8217;,&#8217;Female&#8217;],order=[&#8216;Thur&#8217;,&#8217;Fri&#8217;,&#8217;Sat&#8217;,&#8217;Sun&#8217;],data=df_tip) sns.barplot(x=&#8217;day&#8217;,y=&#8217;total_bill&#8217;,hue=&#8217;sex&#8217;,data=df_tip) sns.barplot(x=&#8217;day&#8217;,y=&#8217;total_bill&#8217;,hue=&#8217;sex&#8217;,data=df_tip,ci=12) sns.barplot(x=&#8217;day&#8217;,y=&#8217;total_bill&#8217;,hue=&#8217;sex&#8217;,data=df_tip,orient=&#8217;h&#8217;) sns.barplot(y=&#8217;day&#8217;,x=&#8217;total_bill&#8217;,hue=&#8217;sex&#8217;,data=df_tip) sns.barplot(x=&#8217;size&#8217;,y=&#8217;total_bill&#8217;,hue=&#8217;sex&#8217;,data=df_tip,orient=&#8217;v&#8217;) sns.barplot(x=&#8217;size&#8217;,y=&#8217;total_bill&#8217;,hue=&#8217;sex&#8217;,data=df_tip,color=&#8217;b&#8217;) sns.barplot(x=&#8217;size&#8217;,y=&#8217;total_bill&#8217;,hue=&#8217;sex&#8217;,data=df_tip,palette=&#8217;Accent&#8217;) &nbsp; &nbsp; &nbsp;<\/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":[34607,34340,34606,8431,34608,34339,33219,33220],"class_list":["post-145503","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-barplot","tag-barplot-method-in-seaborn","tag-barplot-using-seaborn","tag-machine-learning","tag-seaborn-barplot","tag-seaborn-barplot-method","tag-seaborn-practical","tag-seaborn-program"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Seaborn Barplot Method - 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\/barplot-using-seaborn\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Seaborn Barplot Method - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 Seaborn Dataset import pandas as pd import numpy as np import seaborn as sns df_tip=pd.read_csv(&quot;D:\/\/scikit_data\/Billing\/tips.csv&quot;) df_tip.head() df_tip.shape df_tip.info() df_tip.isnull().sum() sns.barplot(x=&#039;day&#039;,y=&#039;total_bill&#039;,hue=&#039;sex&#039;,data=df_tip,hue_order=[&#039;Male&#039;,&#039;Female&#039;]) sns.barplot(x=&#039;day&#039;,y=&#039;total_bill&#039;,hue=&#039;sex&#039;,hue_order=[&#039;Male&#039;,&#039;Female&#039;],order=[&#039;Thur&#039;,&#039;Fri&#039;,&#039;Sat&#039;,&#039;Sun&#039;],data=df_tip) sns.barplot(x=&#039;day&#039;,y=&#039;total_bill&#039;,hue=&#039;sex&#039;,data=df_tip) sns.barplot(x=&#039;day&#039;,y=&#039;total_bill&#039;,hue=&#039;sex&#039;,data=df_tip,ci=12) sns.barplot(x=&#039;day&#039;,y=&#039;total_bill&#039;,hue=&#039;sex&#039;,data=df_tip,orient=&#039;h&#039;) sns.barplot(y=&#039;day&#039;,x=&#039;total_bill&#039;,hue=&#039;sex&#039;,data=df_tip) sns.barplot(x=&#039;size&#039;,y=&#039;total_bill&#039;,hue=&#039;sex&#039;,data=df_tip,orient=&#039;v&#039;) sns.barplot(x=&#039;size&#039;,y=&#039;total_bill&#039;,hue=&#039;sex&#039;,data=df_tip,color=&#039;b&#039;) sns.barplot(x=&#039;size&#039;,y=&#039;total_bill&#039;,hue=&#039;sex&#039;,data=df_tip,palette=&#039;Accent&#039;) &nbsp; 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