

{"id":145160,"date":"2025-05-28T12:20:42","date_gmt":"2025-05-28T06:50:42","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145160"},"modified":"2025-05-28T12:42:55","modified_gmt":"2025-05-28T07:12:55","slug":"missing-data-in-pandas","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/missing-data-in-pandas\/","title":{"rendered":"Handling Missing Data in Pandas"},"content":{"rendered":"<div class='__iawmlf-post-loop-links' style='display:none;' data-iawmlf-post-links='[{&quot;id&quot;:62,&quot;href&quot;:&quot;https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1FR_nBh65jVhVX7HlcoZYDOe6LZH-l2mJ\\\/view?usp=sharing&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251205135121\\\/https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1FR_nBh65jVhVX7HlcoZYDOe6LZH-l2mJ\\\/view?usp=sharing&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2026-01-21 23:12:54&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-02-23 08:42:56&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-18 13:50:32&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-24 19:39:03&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-28 02:19:16&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-03 17:51:45&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-12 14:35:04&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-16 06:31:01&quot;,&quot;http_code&quot;:200}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-05-16 06:31:01&quot;,&quot;http_code&quot;:200},&quot;process&quot;:&quot;done&quot;},{&quot;id&quot;:64,&quot;href&quot;:&quot;https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1R_bZI3ZiFA2SELRKJEpSZNb9syhEj_DV\\\/view?usp=sharing&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251205135123\\\/https:\\\/\\\/drive.google.com\\\/file\\\/d\\\/1R_bZI3ZiFA2SELRKJEpSZNb9syhEj_DV\\\/view?usp=sharing&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2026-04-18 13:50:32&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-27 10:04:42&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-03 17:51:45&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-12 14:35:02&quot;,&quot;http_code&quot;:200}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-05-12 14:35:02&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\/1FR_nBh65jVhVX7HlcoZYDOe6LZH-l2mJ\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><strong>Pandas Dataset 1<\/strong><\/a><\/p>\n<p><a href=\"https:\/\/drive.google.com\/file\/d\/1R_bZI3ZiFA2SELRKJEpSZNb9syhEj_DV\/view?usp=sharing\" target=\"_blank\" rel=\"noopener\"><strong>Pandas Dataset 2<\/strong><\/a><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Missing Values\r\nimport pandas as pd\r\nmyfile=\"D:\/\/mypandas\/employee1.xlsx\"\r\ndf=pd.read_excel(myfile)\r\nprint(df[['empname','TA']].dropna())\r\n\r\n\r\n# print(\"Before\")\r\n# print(df) \r\n# print(\"After\")\r\n# df=df.dropna()\r\n# print(df) \r\n# df.to_excel(\"D:\/\/mypandas\/empnomissing.xlsx\")\r\n# print(\"----------------Success------------\")\r\n\r\n# print(\"Before\")\r\n# print(df) \r\n# df.fillna(0,inplace=True)\r\n# print(\"After\")\r\n# print(df)<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Pandas Dataset 1 Pandas Dataset 2 # Missing Values import pandas as pd myfile=&#8221;D:\/\/mypandas\/employee1.xlsx&#8221; df=pd.read_excel(myfile) print(df[[&#8217;empname&#8217;,&#8217;TA&#8217;]].dropna()) # print(&#8220;Before&#8221;) # print(df) # print(&#8220;After&#8221;) # df=df.dropna() # print(df) # df.to_excel(&#8220;D:\/\/mypandas\/empnomissing.xlsx&#8221;) # print(&#8220;&#8212;&#8212;&#8212;&#8212;&#8212;-Success&#8212;&#8212;&#8212;&#8212;&#8220;) # print(&#8220;Before&#8221;)&#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":[34277,34278,9393,30038,34264,34279,9399,34280],"class_list":["post-145160","post","type-post","status-publish","format-standard","hentry","category-pandas","tag-handling-missing-data-in-pandas","tag-missing-data-in-pandas","tag-pandas","tag-pandas-practical","tag-pandas-program","tag-pandas-program-on-missing-data","tag-pandas-tutorial","tag-working-with-missing-data"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Handling Missing Data 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\/missing-data-in-pandas\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Handling Missing Data in Pandas - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 Pandas Dataset 1 Pandas Dataset 2 # Missing Values import pandas as pd myfile=&quot;D:\/\/mypandas\/employee1.xlsx&quot; df=pd.read_excel(myfile) print(df[[&#039;empname&#039;,&#039;TA&#039;]].dropna()) # print(&quot;Before&quot;) # print(df) # print(&quot;After&quot;) # df=df.dropna() # print(df) # df.to_excel(&quot;D:\/\/mypandas\/empnomissing.xlsx&quot;) # print(&quot;----------------Success------------&quot;) # print(&quot;Before&quot;)&#046;&#046;&#046;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/missing-data-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=\"2025-05-28T06:50:42+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-05-28T07:12:55+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":"Handling Missing Data 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\/missing-data-in-pandas\/","og_locale":"en_US","og_type":"article","og_title":"Handling Missing Data in Pandas - DataFlair","og_description":"Program 1 Pandas Dataset 1 Pandas Dataset 2 # Missing Values import pandas as pd myfile=\"D:\/\/mypandas\/employee1.xlsx\" df=pd.read_excel(myfile) print(df[['empname','TA']].dropna()) # print(\"Before\") # print(df) # print(\"After\") # df=df.dropna() # print(df) # df.to_excel(\"D:\/\/mypandas\/empnomissing.xlsx\") # print(\"----------------Success------------\") # print(\"Before\")&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/missing-data-in-pandas\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-05-28T06:50:42+00:00","article_modified_time":"2025-05-28T07:12:55+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\/missing-data-in-pandas\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/missing-data-in-pandas\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Handling Missing Data in Pandas","datePublished":"2025-05-28T06:50:42+00:00","dateModified":"2025-05-28T07:12:55+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/missing-data-in-pandas\/"},"wordCount":12,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["handling missing data in pandas","missing data in pandas","Pandas","pandas practical","pandas program","pandas program on missing data","pandas tutorial","working with missing data"],"articleSection":["Pandas Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/missing-data-in-pandas\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/missing-data-in-pandas\/","url":"https:\/\/data-flair.training\/blogs\/missing-data-in-pandas\/","name":"Handling Missing Data in Pandas - DataFlair","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/#website"},"datePublished":"2025-05-28T06:50:42+00:00","dateModified":"2025-05-28T07:12:55+00:00","breadcrumb":{"@id":"https:\/\/data-flair.training\/blogs\/missing-data-in-pandas\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/data-flair.training\/blogs\/missing-data-in-pandas\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/data-flair.training\/blogs\/missing-data-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":"Handling Missing Data 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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