{"id":145199,"date":"2025-06-02T12:19:21","date_gmt":"2025-06-02T06:49:21","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145199"},"modified":"2025-06-02T12:19:21","modified_gmt":"2025-06-02T06:49:21","slug":"pandas-dataframe-groupby-method","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/pandas-dataframe-groupby-method\/","title":{"rendered":"Pandas DataFrame groupby() Method"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Advance Data Analysis \r\n#Group by method\r\nimport pandas as pd\r\nproduct=[('Limca',20,'Sanchi'),('Frooti',25,'Amul'),('Milk',20,'BK'),('Water',20,'BK'),\r\n       ('Limca',25,'AK'),('Frooti',20,'SK'),('Milk',28,'BK'),('Water',30,'Sanchi'),\r\n        ('Limca',27,'Sanchi'),('Frooti',29,'AK'),('Milk',25,'Amul'),('Water',45,'Sanchi'),\r\n        ('Water',29,'Amul'),('Limca',40,'DK'),('Frooti',32,'Amul'),('Water',40,'Sanchi')\r\n        ]\r\n#print(product)\r\ndf=pd.DataFrame(product,columns=['Product Name','Price','Distributor'])\r\n\r\ndf1=df.groupby('Product Name')\r\nprint(df1.agg([max]))\r\n#print(df1['Price'].agg([max,min]))\r\n#print(df1['Product Name'].agg(['count']))\r\n#print(df1['Price'].agg([sum]))\r\n# print(df1.get_group('Limca').max())\r\n# print(df1.get_group('Frooti').min())\r\n# df1=df.groupby('Distributor')\r\n# print(df1.get_group('Amul'))\r\n\r\n#df1=df.groupby('Product Name')\r\n#df1=df.groupby('Distributor')\r\n#df1=df.groupby('Price')\r\n# df1=df.groupby('Product Name')\r\n# for name ,rows in df1:\r\n#     print(name)\r\n#     print(rows)\r\n\r\n#print(type(df1))\r\n#print(df)<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 # Advance Data Analysis #Group by method import pandas as pd product=[(&#8216;Limca&#8217;,20,&#8217;Sanchi&#8217;),(&#8216;Frooti&#8217;,25,&#8217;Amul&#8217;),(&#8216;Milk&#8217;,20,&#8217;BK&#8217;),(&#8216;Water&#8217;,20,&#8217;BK&#8217;), (&#8216;Limca&#8217;,25,&#8217;AK&#8217;),(&#8216;Frooti&#8217;,20,&#8217;SK&#8217;),(&#8216;Milk&#8217;,28,&#8217;BK&#8217;),(&#8216;Water&#8217;,30,&#8217;Sanchi&#8217;), (&#8216;Limca&#8217;,27,&#8217;Sanchi&#8217;),(&#8216;Frooti&#8217;,29,&#8217;AK&#8217;),(&#8216;Milk&#8217;,25,&#8217;Amul&#8217;),(&#8216;Water&#8217;,45,&#8217;Sanchi&#8217;), (&#8216;Water&#8217;,29,&#8217;Amul&#8217;),(&#8216;Limca&#8217;,40,&#8217;DK&#8217;),(&#8216;Frooti&#8217;,32,&#8217;Amul&#8217;),(&#8216;Water&#8217;,40,&#8217;Sanchi&#8217;) ] #print(product) df=pd.DataFrame(product,columns=[&#8216;Product Name&#8217;,&#8217;Price&#8217;,&#8217;Distributor&#8217;]) df1=df.groupby(&#8216;Product Name&#8217;) print(df1.agg([max])) #print(df1[&#8216;Price&#8217;].agg([max,min])) #print(df1[&#8216;Product Name&#8217;].agg([&#8216;count&#8217;])) #print(df1[&#8216;Price&#8217;].agg([sum])) # print(df1.get_group(&#8216;Limca&#8217;).max()) # print(df1.get_group(&#8216;Frooti&#8217;).min()) # df1=df.groupby(&#8216;Distributor&#8217;)&#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":[19475],"tags":[34301,9393,34303,34300,30038,34264,34302,9399],"class_list":["post-145199","post","type-post","status-publish","format-standard","hentry","category-pandas","tag-groupby-method-in-pandas","tag-pandas","tag-pandas-dataframe-groupby-method","tag-pandas-groupby-method","tag-pandas-practical","tag-pandas-program","tag-pandas-program-on-groupby-method","tag-pandas-tutorial"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - 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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\/pandas-dataframe-groupby-method\/","og_locale":"en_US","og_type":"article","og_title":"Pandas DataFrame groupby() Method - DataFlair","og_description":"Program 1 # Advance Data Analysis #Group by method import pandas as pd product=[('Limca',20,'Sanchi'),('Frooti',25,'Amul'),('Milk',20,'BK'),('Water',20,'BK'), ('Limca',25,'AK'),('Frooti',20,'SK'),('Milk',28,'BK'),('Water',30,'Sanchi'), ('Limca',27,'Sanchi'),('Frooti',29,'AK'),('Milk',25,'Amul'),('Water',45,'Sanchi'), ('Water',29,'Amul'),('Limca',40,'DK'),('Frooti',32,'Amul'),('Water',40,'Sanchi') ] #print(product) df=pd.DataFrame(product,columns=['Product Name','Price','Distributor']) df1=df.groupby('Product Name') print(df1.agg([max])) #print(df1['Price'].agg([max,min])) #print(df1['Product Name'].agg(['count'])) #print(df1['Price'].agg([sum])) # print(df1.get_group('Limca').max()) # print(df1.get_group('Frooti').min()) # df1=df.groupby('Distributor')&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/pandas-dataframe-groupby-method\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-06-02T06:49:21+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\/pandas-dataframe-groupby-method\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/pandas-dataframe-groupby-method\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Pandas DataFrame groupby() Method","datePublished":"2025-06-02T06:49:21+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/pandas-dataframe-groupby-method\/"},"wordCount":7,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["groupby method in pandas","Pandas","pandas dataframe groupby method","pandas groupby method","pandas practical","pandas program","pandas program on groupby method","pandas tutorial"],"articleSection":["Pandas Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/pandas-dataframe-groupby-method\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/pandas-dataframe-groupby-method\/","url":"https:\/\/data-flair.training\/blogs\/pandas-dataframe-groupby-method\/","name":"Pandas DataFrame groupby() Method - 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