{"id":145179,"date":"2025-05-30T18:25:59","date_gmt":"2025-05-30T12:55:59","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145179"},"modified":"2025-05-30T18:55:03","modified_gmt":"2025-05-30T13:25:03","slug":"sorting-in-pandas","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/sorting-in-pandas\/","title":{"rendered":"Sorting 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\"># Sorting \r\nimport pandas as pd\r\nmyfile=\"D:\/\/mypandas\/employee.xlsx\"\r\ndf=pd.read_excel(myfile)\r\n#print(df)\r\n#print(df.sort_index(ascending=True))\r\n#print(df.sort_values(['empname'],ascending=False))\r\n#print(df.columns)\r\n#print(df.sort_values('totalsalary'))<\/pre>\n<h3>Program 2<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Duplicate \r\nimport pandas as pd\r\nmyfile=\"D:\/\/mypandas\/employee.xlsx\"\r\ndf=pd.read_excel(myfile)\r\nprint(\"Before Remove: \")\r\nprint(df.duplicated())\r\nprint(df.size)\r\nprint(\"------------------------------------------------\")\r\ndf.drop_duplicates(inplace=True)\r\nprint(\"After Remove: \")\r\nprint(df.duplicated())\r\ndf.to_excel(\"D:\/\/mypandas\/employeenewdata.xlsx\")\r\nprint(\"..................Success...........\")\r\n# df1=df.drop_duplicates()\r\n# print(\"After Remove: \")\r\n# print(df1.duplicated())\r\n# print(df1.size)\r\n#print(df)<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Pandas Dataset # Sorting import pandas as pd myfile=&#8221;D:\/\/mypandas\/employee.xlsx&#8221; df=pd.read_excel(myfile) #print(df) #print(df.sort_index(ascending=True)) #print(df.sort_values([&#8217;empname&#8217;],ascending=False)) #print(df.columns) #print(df.sort_values(&#8216;totalsalary&#8217;)) Program 2 # Duplicate import pandas as pd myfile=&#8221;D:\/\/mypandas\/employee.xlsx&#8221; df=pd.read_excel(myfile) print(&#8220;Before Remove: &#8220;) print(df.duplicated()) print(df.size) print(&#8220;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8220;) df.drop_duplicates(inplace=True)&#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":[9393,30038,34264,34289,19781,9399,34290,34288],"class_list":["post-145179","post","type-post","status-publish","format-standard","hentry","category-pandas","tag-pandas","tag-pandas-practical","tag-pandas-program","tag-pandas-program-on-sorting","tag-pandas-sorting","tag-pandas-tutorial","tag-remove-duplicates-from-pandas","tag-sorting-in-pandas"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Sorting 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\/sorting-in-pandas\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sorting in Pandas - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 Pandas Dataset # Sorting import pandas as pd myfile=&quot;D:\/\/mypandas\/employee.xlsx&quot; df=pd.read_excel(myfile) #print(df) #print(df.sort_index(ascending=True)) #print(df.sort_values([&#039;empname&#039;],ascending=False)) #print(df.columns) #print(df.sort_values(&#039;totalsalary&#039;)) Program 2 # Duplicate import pandas as pd myfile=&quot;D:\/\/mypandas\/employee.xlsx&quot; df=pd.read_excel(myfile) print(&quot;Before Remove: &quot;) print(df.duplicated()) print(df.size) print(&quot;------------------------------------------------&quot;) df.drop_duplicates(inplace=True)&#046;&#046;&#046;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/sorting-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=\"2025-05-30T12:55:59+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-05-30T13:25:03+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":"Sorting 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\/sorting-in-pandas\/","og_locale":"en_US","og_type":"article","og_title":"Sorting in Pandas - DataFlair","og_description":"Program 1 Pandas Dataset # Sorting import pandas as pd myfile=\"D:\/\/mypandas\/employee.xlsx\" df=pd.read_excel(myfile) #print(df) #print(df.sort_index(ascending=True)) #print(df.sort_values(['empname'],ascending=False)) #print(df.columns) #print(df.sort_values('totalsalary')) Program 2 # Duplicate import pandas as pd myfile=\"D:\/\/mypandas\/employee.xlsx\" df=pd.read_excel(myfile) print(\"Before Remove: \") print(df.duplicated()) print(df.size) print(\"------------------------------------------------\") df.drop_duplicates(inplace=True)&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/sorting-in-pandas\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-05-30T12:55:59+00:00","article_modified_time":"2025-05-30T13:25:03+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\/sorting-in-pandas\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/sorting-in-pandas\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Sorting in Pandas","datePublished":"2025-05-30T12:55:59+00:00","dateModified":"2025-05-30T13:25:03+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/sorting-in-pandas\/"},"wordCount":9,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["Pandas","pandas practical","pandas program","pandas program on sorting","Pandas Sorting","pandas tutorial","remove duplicates from pandas","sorting in pandas"],"articleSection":["Pandas Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/sorting-in-pandas\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/sorting-in-pandas\/","url":"https:\/\/data-flair.training\/blogs\/sorting-in-pandas\/","name":"Sorting in Pandas - 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