{"id":145239,"date":"2025-06-06T12:18:42","date_gmt":"2025-06-06T06:48:42","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145239"},"modified":"2025-06-06T12:18:42","modified_gmt":"2025-06-06T06:48:42","slug":"seaborn-barplot-method","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/seaborn-barplot-method\/","title":{"rendered":"Seaborn Barplot Method"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import seaborn as sns\r\nimport matplotlib.pyplot as plt\r\nimport pandas as pd\r\nimport numpy as np\r\ndata = {\r\n    'Fruit': ['Apple', 'Mango', 'Apple', 'Mango', 'Apple', 'Mango'],\r\n    'Sales': [100, 80, 90, 70, 95, 85]\r\n}\r\ndf = pd.DataFrame(data)\r\nprint(df)\r\n# Bar plot showing average sales for each fruit\r\nsns.barplot(x='Fruit', y='Sales', data=df,ci=None,estimator=np.sum)\r\nplt.title(\"Average Sales of Fruits\")\r\nplt.show()<\/pre>\n<h3>Program 2<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import seaborn as sns\r\nimport matplotlib.pyplot as plt\r\nimport pandas as pd\r\nimport numpy as np\r\ndf_tips = sns.load_dataset('tips')\r\n#print(df_tips.head())\r\nprint(df_tips.info())\r\n\r\n#sns.barplot(x='day', y='total_bill', data=df_tips, hue='sex',ci=None,estimator=np.median,palette='Accent')\r\n# sns.barplot(x='day', y='tip', data=df_tips, hue='sex',ci=None,estimator=np.mean)\r\nsns.barplot(x='time', y='tip', data=df_tips, hue='sex',ci=None,estimator=np.mean)\r\nplt.title(\"Average Total Bill per Day\")\r\nplt.show()<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 import seaborn as sns import matplotlib.pyplot as plt import pandas as pd import numpy as np data = { &#8216;Fruit&#8217;: [&#8216;Apple&#8217;, &#8216;Mango&#8217;, &#8216;Apple&#8217;, &#8216;Mango&#8217;, &#8216;Apple&#8217;, &#8216;Mango&#8217;], &#8216;Sales&#8217;: [100, 80, 90, 70, 95,&#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":[34342,34340,12666,34339,33219,33220,34341,34326],"class_list":["post-145239","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-barplot-method","tag-barplot-method-in-seaborn","tag-seaborn","tag-seaborn-barplot-method","tag-seaborn-practical","tag-seaborn-program","tag-seaborn-program-on-barplot","tag-seaborn-tutorial"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - 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