

{"id":143675,"date":"2024-12-05T11:55:00","date_gmt":"2024-12-05T06:25:00","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=143675"},"modified":"2025-06-24T14:48:26","modified_gmt":"2025-06-24T09:18:26","slug":"ecdf-plot-in-seaborn","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/ecdf-plot-in-seaborn\/","title":{"rendered":"ECDF Plot in Seaborn"},"content":{"rendered":"<h3>Program 1<\/h3>\n<p><a href=\"https:\/\/data-flair.s3.ap-south-1.amazonaws.com\/ai-ml-course-dataset-vivek-uprit\/seaborn-ecdf-plot.zip\" target=\"_blank\" rel=\"noopener\"><strong>Seaborn Dataset<\/strong><\/a><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># ecdf= Empirical Cumulative Distribution Function plot \r\n\r\n\r\nimport pandas as pd\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nimport seaborn as sns\r\n\r\n\r\n\r\ndf_value=pd.read_csv(\"D:\/\/scikit_data\/Billing\/data.csv\")\r\ndf_value\r\n\r\n\r\nsns.set_style('darkgrid')\r\nsns.ecdfplot(x='value',data=df_value)\r\n\r\n\r\ndf_tips=pd.read_csv(\"D:\/\/scikit_data\/Billing\/tips.csv\")\r\ndf_tips\r\n\r\n\r\ndf_tips['tip'].head()\r\n\r\nsns.ecdfplot(x='tip',data=df_tips)\r\n\r\n\r\ndf_tips.tip.max()\r\n\r\n\r\ndf_tips.tip.min()\r\n\r\n\r\nsns.ecdfplot(x='tip',data=df_tips)\r\nplt.axvline(4,c='black')\r\n\r\n\r\ndf_tips\r\n\r\n\r\nsns.ecdfplot(x='tip',data=df_tips,hue='time')\r\n\r\n\r\nsns.ecdfplot(x='tip',data=df_tips,hue='sex')\r\n\r\n\r\np=sns.ecdfplot(x='tip',data=df_tips,hue='day')\r\n\r\n\r\nsns.ecdfplot(x='tip',data=df_tips,hue='day',lw=3)\r\n\r\n\r\np=sns.ecdfplot(x='tip',data=df_tips,hue='day')\r\np.legend(['Tursday','Friday','Saturday','Sunday'],title='Days of Week', loc=4)\r\n<\/pre>\n<p>&nbsp;<span hidden class=\"__iawmlf-post-loop-links\" data-iawmlf-links=\"[{&quot;id&quot;:94,&quot;href&quot;:&quot;https:\\\/\\\/data-flair.s3.ap-south-1.amazonaws.com\\\/ai-ml-course-dataset-vivek-uprit\\\/seaborn-ecdf-plot.zip&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251205202659\\\/https:\\\/\\\/data-flair.s3.ap-south-1.amazonaws.com\\\/ai-ml-course-dataset-vivek-uprit\\\/seaborn-ecdf-plot.zip&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-16 15:55:19&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-24 14:19:00&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-05 09:31:52&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-14 15:45:40&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-26 08:14:01&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-17 11:52:16&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-13 10:56:59&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-06-08 10:41:12&quot;,&quot;http_code&quot;:403},{&quot;date&quot;:&quot;2026-07-05 07:56:10&quot;,&quot;http_code&quot;:403},{&quot;date&quot;:&quot;2026-07-13 22:25:03&quot;,&quot;http_code&quot;:403},{&quot;date&quot;:&quot;2026-07-22 10:12:15&quot;,&quot;http_code&quot;:403},{&quot;date&quot;:&quot;2026-08-03 14:25:16&quot;,&quot;http_code&quot;:403}],&quot;broken&quot;:true,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-08-03 14:25:16&quot;,&quot;http_code&quot;:403},&quot;process&quot;:&quot;done&quot;}]\"><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Seaborn Dataset # ecdf= Empirical Cumulative Distribution Function plot import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns df_value=pd.read_csv(&#8220;D:\/\/scikit_data\/Billing\/data.csv&#8221;) df_value sns.set_style(&#8216;darkgrid&#8217;) sns.ecdfplot(x=&#8217;value&#8217;,data=df_value) df_tips=pd.read_csv(&#8220;D:\/\/scikit_data\/Billing\/tips.csv&#8221;) df_tips df_tips[&#8216;tip&#8217;].head()&#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":[33235,33237,8431,33127,33128,12666,33236,33219,33220],"class_list":["post-143675","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-ecdf-plot-in-seaborn","tag-how-to-plot-ecdf-plot-in-seaborn","tag-machine-learning","tag-machine-learning-practical","tag-machine-learning-program","tag-seaborn","tag-seaborn-ecdf-plot","tag-seaborn-practical","tag-seaborn-program"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - 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