{"id":145202,"date":"2025-06-02T12:36:08","date_gmt":"2025-06-02T07:06:08","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145202"},"modified":"2025-06-02T12:36:08","modified_gmt":"2025-06-02T07:06:08","slug":"concat-function-in-pandas","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/concat-function-in-pandas\/","title":{"rendered":"Concat Function in Pandas"},"content":{"rendered":"

Program 1<\/h3>\n
# Advance Data Analysis \r\n#Concat  DataFrame\r\nimport pandas as pd\r\ndf1=pd.DataFrame({'empname':['Rahul','Vijay','Dipesh'],'Age':[45,43,54]})\r\ndf2=pd.DataFrame({'dept':['CSE','IT','HR'],'Salary in lakhs ':[23,33,28]})\r\ndf3=pd.DataFrame({'HRA':[5000,6000,4000],'TA':[3000,4000,3400]})\r\nprint(\"EmpName Age  Dept  Salary HRA TA\")\r\nprint(\"--------------------------------------\")\r\ndf4=pd.concat([df1,df2,df3],ignore_index=True,axis=1)\r\nprint(df4)\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n# df1=pd.DataFrame({'empname':['rahul','vijay','dipesh'],'Age':[45,43,54]})\r\n# df2=pd.DataFrame({'citizen':['rahul','vijay','amit'],'Salary in lakhs ':[23,33,28]})\r\n\r\n# df3=pd.concat([df1,df2],ignore_index=True)\r\n# print(df3)\r\n<\/pre>\n
 <\/p>\n","protected":false},"excerpt":{"rendered":"
Program 1 # Advance Data Analysis #Concat DataFrame import pandas as pd df1=pd.DataFrame({’empname’:[‘Rahul’,’Vijay’,’Dipesh’],’Age’:[45,43,54]}) df2=pd.DataFrame({‘dept’:[‘CSE’,’IT’,’HR’],’Salary in lakhs ‘:[23,33,28]}) df3=pd.DataFrame({‘HRA’:[5000,6000,4000],’TA’:[3000,4000,3400]}) print(“EmpName Age Dept Salary HRA TA”) print(“————————————–“) df4=pd.concat([df1,df2,df3],ignore_index=True,axis=1) print(df4) # df1=pd.DataFrame({’empname’:[‘rahul’,’vijay’,’dipesh’],’Age’:[45,43,54]}) # df2=pd.DataFrame({‘citizen’:[‘rahul’,’vijay’,’amit’],’Salary in lakhs ‘:[23,33,28]})...<\/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":[34315,34313,9393,34312,30038,34264,34314,9399],"class_list":["post-145202","post","type-post","status-publish","format-standard","hentry","category-pandas","tag-concat-dataframe-in-pandas","tag-concat-function-in-pandas","tag-pandas","tag-pandas-concat-function","tag-pandas-practical","tag-pandas-program","tag-pandas-program-on-concat-function","tag-pandas-tutorial"],"yoast_head":"\nConcat Function 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\/concat-function-in-pandas\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Concat Function in Pandas - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 # Advance Data Analysis #Concat DataFrame import pandas as pd df1=pd.DataFrame({'empname':['Rahul','Vijay','Dipesh'],'Age':[45,43,54]}) df2=pd.DataFrame({'dept':['CSE','IT','HR'],'Salary in lakhs ':[23,33,28]}) df3=pd.DataFrame({'HRA':[5000,6000,4000],'TA':[3000,4000,3400]}) print("EmpName Age Dept Salary HRA TA") print("--------------------------------------") df4=pd.concat([df1,df2,df3],ignore_index=True,axis=1) print(df4) # df1=pd.DataFrame({'empname':['rahul','vijay','dipesh'],'Age':[45,43,54]}) # df2=pd.DataFrame({'citizen':['rahul','vijay','amit'],'Salary in lakhs ':[23,33,28]})...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/concat-function-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=\"2025-06-02T07:06:08+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":"Concat Function 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\/concat-function-in-pandas\/","og_locale":"en_US","og_type":"article","og_title":"Concat Function in Pandas - DataFlair","og_description":"Program 1 # Advance Data Analysis #Concat DataFrame import pandas as pd df1=pd.DataFrame({'empname':['Rahul','Vijay','Dipesh'],'Age':[45,43,54]}) df2=pd.DataFrame({'dept':['CSE','IT','HR'],'Salary in lakhs ':[23,33,28]}) df3=pd.DataFrame({'HRA':[5000,6000,4000],'TA':[3000,4000,3400]}) print(\"EmpName Age Dept Salary HRA TA\") print(\"--------------------------------------\") df4=pd.concat([df1,df2,df3],ignore_index=True,axis=1) print(df4) # df1=pd.DataFrame({'empname':['rahul','vijay','dipesh'],'Age':[45,43,54]}) # df2=pd.DataFrame({'citizen':['rahul','vijay','amit'],'Salary in lakhs ':[23,33,28]})...","og_url":"https:\/\/data-flair.training\/blogs\/concat-function-in-pandas\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-06-02T07:06:08+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\/concat-function-in-pandas\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/concat-function-in-pandas\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Concat Function in Pandas","datePublished":"2025-06-02T07:06:08+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/concat-function-in-pandas\/"},"wordCount":6,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["concat dataframe in pandas","concat function in pandas","Pandas","pandas concat function","pandas practical","pandas program","pandas program on concat function","pandas tutorial"],"articleSection":["Pandas Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/concat-function-in-pandas\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/concat-function-in-pandas\/","url":"https:\/\/data-flair.training\/blogs\/concat-function-in-pandas\/","name":"Concat Function in Pandas - 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