{"id":145237,"date":"2025-06-06T12:07:38","date_gmt":"2025-06-06T06:37:38","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145237"},"modified":"2025-06-09T12:16:23","modified_gmt":"2025-06-09T06:46:23","slug":"seaborn-lineplot-method","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/seaborn-lineplot-method\/","title":{"rendered":"Seaborn Lineplot Method"},"content":{"rendered":"<h3>Program 1<\/h3>\n<p><a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1ZFYjFIp4mEXm2PhR3We5kQaRgxSGReBK\/edit?usp=sharing&amp;ouid=114902798515384960341&amp;rtpof=true&amp;sd=true\" target=\"_blank\" rel=\"noopener\"><strong>Seaborn Dataset<\/strong><\/a><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import numpy as np\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport seaborn as sns\r\n# days=[1,2,3,4,5,6,7,8,9,10]\r\n# ind_temp=[34.4,41.4,45.4,24.4,34.4,36.2,44.4,33.2,28.7,33.5]\r\n# # Using matplot\r\n# plt.plot(days,ind_temp)\r\n# plt.xlabel(\"Days\")\r\n# plt.ylabel(\"Temprature\")\r\n# plt.title(\"Indore Temprature\")\r\n# plt.show()\r\n\r\n# USING SEABORN\r\ndays=[1,2,3,4,5,6,7,8,9,10]\r\nind_temp=[34.4,41.4,45.4,24.4,34.4,36.2,44.4,33.2,28.7,33.5]\r\n\r\ndf=pd.DataFrame({\"Days\":days,\"Temperature\":ind_temp})\r\n#print(df)\r\nsns.lineplot(x=\"Days\",y=\"Temperature\",data=df)\r\nplt.show()\r\n<\/pre>\n<h3>Program 2<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import numpy as np\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport seaborn as sns\r\nmydf=pd.read_excel(\"D:\/\/MLFile\/employee.xlsx\")\r\n#print(mydf)\r\nsns.lineplot(x=mydf['experience'],y=mydf['salary'],data=mydf)\r\nplt.title(\"Salary Graph of Employee\")\r\nplt.xlabel(\"Exprience\")\r\nplt.ylabel(\"Days\")\r\nplt.show()<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<span hidden class=\"__iawmlf-post-loop-links\" data-iawmlf-links=\"[{&quot;id&quot;:57,&quot;href&quot;:&quot;https:\\\/\\\/docs.google.com\\\/spreadsheets\\\/d\\\/1ZFYjFIp4mEXm2PhR3We5kQaRgxSGReBK\\\/edit?usp=sharing\\u0026ouid=114902798515384960341\\u0026rtpof=true\\u0026sd=true&quot;,&quot;archived_href&quot;:&quot;&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[],&quot;broken&quot;:false,&quot;last_checked&quot;:null,&quot;process&quot;:&quot;done&quot;}]\"><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Seaborn Dataset import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns # days=[1,2,3,4,5,6,7,8,9,10] # ind_temp=[34.4,41.4,45.4,24.4,34.4,36.2,44.4,33.2,28.7,33.5] # # Using matplot # plt.plot(days,ind_temp) # plt.xlabel(&#8220;Days&#8221;) # plt.ylabel(&#8220;Temprature&#8221;)&#46;&#46;&#46;<\/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":[34333,34331,12666,34330,33219,33220,34332,34326],"class_list":["post-145237","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-lineplot-method","tag-lineplot-method-in-seaborn","tag-seaborn","tag-seaborn-lineplot-method","tag-seaborn-practical","tag-seaborn-program","tag-seaborn-program-on-lineplot-method","tag-seaborn-tutorial"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - 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