{"id":145252,"date":"2025-06-09T11:31:24","date_gmt":"2025-06-09T06:01:24","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145252"},"modified":"2025-06-09T12:18:05","modified_gmt":"2025-06-09T06:48:05","slug":"seaborn-scatterplot-method","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/seaborn-scatterplot-method\/","title":{"rendered":"Seaborn Scatterplot Method"},"content":{"rendered":"

Program 1<\/h3>\n
import seaborn as sns\r\nimport matplotlib.pyplot as plt\r\nimport numpy as np\r\nimport seaborn as sns\r\ndf_tips=sns.load_dataset('tips')\r\nprint(df_tips.info())\r\nplt.figure(figsize=(15,10))\r\nsns.scatterplot(x=\"total_bill\",y=\"tip\",hue='time',style='smoker',data=df_tips)\r\nplt.title(\"Scatter plot of Bill vs Tip\")\r\nplt.xlabel(\"Total Bill\")\r\nplt.ylabel(\"Tip\")\r\nplt.show()<\/pre>\n
Program 2<\/h3>\n
Seaborn Dataset<\/strong><\/a><\/p>\n
import seaborn as sns\r\nimport matplotlib.pyplot as plt\r\nimport numpy as np\r\nimport seaborn as sns\r\ndf_titanic=sns.load_dataset('titanic')\r\n\r\n#sns.scatterplot(x='age',y='fare',data=df_titanic)\r\n\r\n#sns.scatterplot(x='age',y='fare',data=df_titanic,hue='sex')\r\n#sns.scatterplot(x='age',y='fare',data=df_titanic,hue='sex',style='who')\r\n# sns.scatterplot(x='age',y='fare',data=df_titanic,hue='sex',style='who',size='who',sizes=(100,500))\r\n# plt.title(\"Scatter plot of Age vs Fare\")\r\n# plt.xlabel(\"Age\")\r\n# plt.ylabel(\"Fare\")\r\n# plt.show()\r\n#print(df_df_titanic.info())\r\n#print(df_df_titanic.isnull().sum())\r\n\r\nsns.scatterplot(x='age',y='pclass',data=df_titanic)\r\nplt.title(\"Scatter plot of Age vs Class\")\r\nplt.xlabel(\"Age\")\r\nplt.ylabel(\"Class\")\r\nplt.show()<\/pre>\n
 
Program 1 import seaborn as sns import matplotlib.pyplot as plt import numpy as np import seaborn as sns df_tips=sns.load_dataset(‘tips’) print(df_tips.info()) plt.figure(figsize=(15,10)) sns.scatterplot(x=”total_bill”,y=”tip”,hue=’time’,style=’smoker’,data=df_tips) plt.title(“Scatter plot of Bill vs Tip”) plt.xlabel(“Total Bill”) plt.ylabel(“Tip”) plt.show() Program 2...<\/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":[12614,33241,12666,33219,33220,34354,33242,34353],"class_list":["post-145252","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-scatter-plot","tag-scatter-plot-in-seaborn","tag-seaborn","tag-seaborn-practical","tag-seaborn-program","tag-seaborn-program-on-scatter-plot","tag-seaborn-scatter-plot","tag-seaborn-scatter-plot-method"],"yoast_head":"\nSeaborn Scatterplot 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\/seaborn-scatterplot-method\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Seaborn Scatterplot Method - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 import seaborn as sns import matplotlib.pyplot as plt import numpy as np import seaborn as sns df_tips=sns.load_dataset('tips') print(df_tips.info()) plt.figure(figsize=(15,10)) sns.scatterplot(x="total_bill",y="tip",hue='time',style='smoker',data=df_tips) plt.title("Scatter plot of Bill vs Tip") plt.xlabel("Total Bill") plt.ylabel("Tip") plt.show() Program 2...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/seaborn-scatterplot-method\/\" \/>\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=\"2025-06-09T06:01:24+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-09T06:48:05+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":"Seaborn Scatterplot Method - 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\/seaborn-scatterplot-method\/","og_locale":"en_US","og_type":"article","og_title":"Seaborn Scatterplot Method - DataFlair","og_description":"Program 1 import seaborn as sns import matplotlib.pyplot as plt import numpy as np import seaborn as sns df_tips=sns.load_dataset('tips') print(df_tips.info()) plt.figure(figsize=(15,10)) sns.scatterplot(x=\"total_bill\",y=\"tip\",hue='time',style='smoker',data=df_tips) plt.title(\"Scatter plot of Bill vs Tip\") plt.xlabel(\"Total Bill\") plt.ylabel(\"Tip\") plt.show() Program 2...","og_url":"https:\/\/data-flair.training\/blogs\/seaborn-scatterplot-method\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-06-09T06:01:24+00:00","article_modified_time":"2025-06-09T06:48:05+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\/seaborn-scatterplot-method\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/seaborn-scatterplot-method\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Seaborn Scatterplot Method","datePublished":"2025-06-09T06:01:24+00:00","dateModified":"2025-06-09T06:48:05+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/seaborn-scatterplot-method\/"},"wordCount":8,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["Scatter Plot","scatter plot in seaborn","seaborn","seaborn practical","seaborn program","seaborn program on scatter plot","seaborn scatter plot","seaborn scatter plot method"],"articleSection":["Machine Learning Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/seaborn-scatterplot-method\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/seaborn-scatterplot-method\/","url":"https:\/\/data-flair.training\/blogs\/seaborn-scatterplot-method\/","name":"Seaborn Scatterplot Method - 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