{"id":129402,"date":"2023-12-14T14:09:27","date_gmt":"2023-12-14T08:39:27","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=129402"},"modified":"2023-12-14T14:09:27","modified_gmt":"2023-12-14T08:39:27","slug":"practical-implementation-of-pandas-dataframe-nlargest-method","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/","title":{"rendered":"Practical Implementation of Pandas DataFrame nlargest() Method"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\nemp=pd.read_excel(\"E:\\mypandas\\employee.xlsx\")\r\n#print(emp)\r\n#print(emp.nlargest(10,columns='salary'))\r\n#select * from employee order by salary desc limit 4;\r\n#print(emp.nlargest(8,columns='salary').tail(4))\r\n#print(emp.nlargest(10,columns='HRA').head(5))\r\n#print(emp.nlargest(10,columns='HRA').tail(5))<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 import pandas as pd emp=pd.read_excel(&#8220;E:\\mypandas\\employee.xlsx&#8221;) #print(emp) #print(emp.nlargest(10,columns=&#8217;salary&#8217;)) #select * from employee order by salary desc limit 4; #print(emp.nlargest(8,columns=&#8217;salary&#8217;).tail(4)) #print(emp.nlargest(10,columns=&#8217;HRA&#8217;).head(5)) #print(emp.nlargest(10,columns=&#8217;HRA&#8217;).tail(5)) &nbsp; &nbsp;<\/p>\n","protected":false},"author":86671,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19475],"tags":[30092,30093,30094,30038,30091,10755],"class_list":["post-129402","post","type-post","status-publish","format-standard","hentry","category-pandas","tag-implementation-of-pandas-dataframe-nlargest-method","tag-pandas-dataframe-nlargest-method","tag-pandas-nlargest-method","tag-pandas-practical","tag-practical-implementation-of-pandas-dataframe-nlargest-method","tag-python-pandas"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Practical Implementation of Pandas DataFrame nlargest() 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\/practical-implementation-of-pandas-dataframe-nlargest-method\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Practical Implementation of Pandas DataFrame nlargest() Method - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 import pandas as pd emp=pd.read_excel(&quot;E:mypandasemployee.xlsx&quot;) #print(emp) #print(emp.nlargest(10,columns=&#039;salary&#039;)) #select * from employee order by salary desc limit 4; #print(emp.nlargest(8,columns=&#039;salary&#039;).tail(4)) #print(emp.nlargest(10,columns=&#039;HRA&#039;).head(5)) #print(emp.nlargest(10,columns=&#039;HRA&#039;).tail(5)) &nbsp; &nbsp;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-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=\"2023-12-14T08:39:27+00:00\" \/>\n<meta name=\"author\" content=\"TechVidvan 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=\"TechVidvan 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":"Practical Implementation of Pandas DataFrame nlargest() 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\/practical-implementation-of-pandas-dataframe-nlargest-method\/","og_locale":"en_US","og_type":"article","og_title":"Practical Implementation of Pandas DataFrame nlargest() Method - DataFlair","og_description":"Program 1 import pandas as pd emp=pd.read_excel(\"E:mypandasemployee.xlsx\") #print(emp) #print(emp.nlargest(10,columns='salary')) #select * from employee order by salary desc limit 4; #print(emp.nlargest(8,columns='salary').tail(4)) #print(emp.nlargest(10,columns='HRA').head(5)) #print(emp.nlargest(10,columns='HRA').tail(5)) &nbsp; &nbsp;","og_url":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2023-12-14T08:39:27+00:00","author":"TechVidvan Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"TechVidvan Team","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/"},"author":{"name":"TechVidvan Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/0e594f928e31fc96628ac40f6ae74f49"},"headline":"Practical Implementation of Pandas DataFrame nlargest() Method","datePublished":"2023-12-14T08:39:27+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/"},"wordCount":10,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["implementation of pandas dataframe nlargest method","pandas dataframe nlargest method","pandas nlargest method","pandas practical","Practical Implementation of Pandas DataFrame nlargest() Method","Python Pandas"],"articleSection":["Pandas Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/","url":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/","name":"Practical Implementation of Pandas DataFrame nlargest() Method - DataFlair","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/#website"},"datePublished":"2023-12-14T08:39:27+00:00","breadcrumb":{"@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-nlargest-method\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Blog Home","item":"https:\/\/data-flair.training\/blogs\/"},{"@type":"ListItem","position":2,"name":"Pandas Tutorials","item":"https:\/\/data-flair.training\/blogs\/category\/pandas\/"},{"@type":"ListItem","position":3,"name":"Practical Implementation of Pandas DataFrame nlargest() Method"}]},{"@type":"WebSite","@id":"https:\/\/data-flair.training\/blogs\/#website","url":"https:\/\/data-flair.training\/blogs\/","name":"DataFlair","description":"Learn Today. 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