{"id":145218,"date":"2025-06-04T12:26:59","date_gmt":"2025-06-04T06:56:59","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145218"},"modified":"2025-06-04T14:45:58","modified_gmt":"2025-06-04T09:15:58","slug":"how-to-use-sql-in-pandas","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/","title":{"rendered":"How to Use SQL in Pandas"},"content":{"rendered":"<div class='__iawmlf-post-loop-links' style='display:none;' data-iawmlf-post-links='[{&quot;id&quot;:58,&quot;href&quot;:&quot;https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1EnKXu5OAxyPWZPfXjhCRC_R4t4XP9Iqm\\\/view?usp=sharing&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251205134022\\\/https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1EnKXu5OAxyPWZPfXjhCRC_R4t4XP9Iqm\\\/view?usp=sharing&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-11 11:40:00&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2025-12-27 17:34:07&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-01-04 08:56:50&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-01-21 22:38:05&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-02-26 10:25:59&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-03-18 11:54:05&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-02 12:22:34&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-09 17:41:51&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-18 03:11:38&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-28 18:11:51&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-01 23:55:20&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-05 23:43:06&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-27 10:40:26&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-06-01 11:49:45&quot;,&quot;http_code&quot;:200}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-06-01 11:49:45&quot;,&quot;http_code&quot;:200},&quot;process&quot;:&quot;done&quot;}]'><\/div>\n<h3>Program 1<\/h3>\n<p><a href=\"https:\/\/drive.google.com\/file\/d\/1EnKXu5OAxyPWZPfXjhCRC_R4t4XP9Iqm\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><strong>Pandas Dataset<\/strong><\/a><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\nemp=pd.read_excel(\"D:\/\/mypandas\/employee.xlsx\")\r\n#print(emp.nlargest(5,columns='totalsalary'))\r\n#print(emp.nlargest(5,columns='totalsalary').tail(4))\r\n#Insert\r\n\r\n# Update\r\n# emp.loc[emp['totalsalary']==10000]=15000\r\n# emp.loc[emp['totalsalary']==15000,'totalsalary']=25000\r\n# print(emp)\r\n\r\n#Delete\r\n#emp=emp.drop(emp[emp.totalsalary==10000].index)\r\nprint(emp)\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n#print(emp.head(6))\r\n#print(emp.tail(6))\r\n#select * from employee where salary&gt;10000;\r\n#print(emp.columns)\r\n\r\n#select * from employee where salary&gt;10000 and edept='CS';\r\n#print(emp[(emp.totalsalary&gt;10000) &amp; (emp.empdept&gt;'CS')][['empname','totalsalary','empdept']])\r\n\r\n#select * from employee where salary in(60000,70000,80000);\r\n#print(emp[~emp.totalsalary.isin([7000,8000,12000])][['empname','totalsalary','empdept']])\r\n#print(emp[(emp.empdept=='CS')|(emp.empdept=='IT')][['empname','totalsalary','empdept']])<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Pandas Dataset import pandas as pd emp=pd.read_excel(&#8220;D:\/\/mypandas\/employee.xlsx&#8221;) #print(emp.nlargest(5,columns=&#8217;totalsalary&#8217;)) #print(emp.nlargest(5,columns=&#8217;totalsalary&#8217;).tail(4)) #Insert # Update # emp.loc[emp[&#8216;totalsalary&#8217;]==10000]=15000 # emp.loc[emp[&#8216;totalsalary&#8217;]==15000,&#8217;totalsalary&#8217;]=25000 # print(emp) #Delete #emp=emp.drop(emp[emp.totalsalary==10000].index) print(emp) #print(emp.head(6)) #print(emp.tail(6)) #select * from employee where salary&gt;10000; #print(emp.columns) #select *&#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":[34319,34321,34322,9393,30038,34264,9399,34320],"class_list":["post-145218","post","type-post","status-publish","format-standard","hentry","category-pandas","tag-how-to-use-sql-in-pandas","tag-how-to-use-sql-query-in-pandas","tag-how-to-write-sql-query-in-pandas","tag-pandas","tag-pandas-practical","tag-pandas-program","tag-pandas-tutorial","tag-use-sql-in-pandas"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How to Use SQL in Pandas - 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\/how-to-use-sql-in-pandas\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Use SQL in Pandas - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 Pandas Dataset import pandas as pd emp=pd.read_excel(&quot;D:\/\/mypandas\/employee.xlsx&quot;) #print(emp.nlargest(5,columns=&#039;totalsalary&#039;)) #print(emp.nlargest(5,columns=&#039;totalsalary&#039;).tail(4)) #Insert # Update # emp.loc[emp[&#039;totalsalary&#039;]==10000]=15000 # emp.loc[emp[&#039;totalsalary&#039;]==15000,&#039;totalsalary&#039;]=25000 # print(emp) #Delete #emp=emp.drop(emp[emp.totalsalary==10000].index) print(emp) #print(emp.head(6)) #print(emp.tail(6)) #select * from employee where salary&gt;10000; #print(emp.columns) #select *&#046;&#046;&#046;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/\" \/>\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=\"2025-06-04T06:56:59+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-04T09:15:58+00:00\" \/>\n<meta name=\"author\" content=\"DataFlair 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=\"DataFlair 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":"How to Use SQL in Pandas - 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\/how-to-use-sql-in-pandas\/","og_locale":"en_US","og_type":"article","og_title":"How to Use SQL in Pandas - DataFlair","og_description":"Program 1 Pandas Dataset import pandas as pd emp=pd.read_excel(\"D:\/\/mypandas\/employee.xlsx\") #print(emp.nlargest(5,columns='totalsalary')) #print(emp.nlargest(5,columns='totalsalary').tail(4)) #Insert # Update # emp.loc[emp['totalsalary']==10000]=15000 # emp.loc[emp['totalsalary']==15000,'totalsalary']=25000 # print(emp) #Delete #emp=emp.drop(emp[emp.totalsalary==10000].index) print(emp) #print(emp.head(6)) #print(emp.tail(6)) #select * from employee where salary&gt;10000; #print(emp.columns) #select *&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-06-04T06:56:59+00:00","article_modified_time":"2025-06-04T09:15:58+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\/how-to-use-sql-in-pandas\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"How to Use SQL in Pandas","datePublished":"2025-06-04T06:56:59+00:00","dateModified":"2025-06-04T09:15:58+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/"},"wordCount":10,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["how to use sql in pandas","how to use sql query in pandas","how to write sql query in pandas","Pandas","pandas practical","pandas program","pandas tutorial","use sql in pandas"],"articleSection":["Pandas Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/","url":"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/","name":"How to Use SQL in Pandas - DataFlair","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/#website"},"datePublished":"2025-06-04T06:56:59+00:00","dateModified":"2025-06-04T09:15:58+00:00","breadcrumb":{"@id":"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/data-flair.training\/blogs\/how-to-use-sql-in-pandas\/#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":"How to Use SQL in Pandas"}]},{"@type":"WebSite","@id":"https:\/\/data-flair.training\/blogs\/#website","url":"https:\/\/data-flair.training\/blogs\/","name":"DataFlair","description":"Learn Today. 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