

{"id":145177,"date":"2025-05-30T17:12:19","date_gmt":"2025-05-30T11:42:19","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145177"},"modified":"2025-05-30T17:12:19","modified_gmt":"2025-05-30T11:42:19","slug":"properties-of-dataframe-in-pandas","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/properties-of-dataframe-in-pandas\/","title":{"rendered":"Properties of Dataframe in Pandas"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Property of DataFrame\r\n# index , columns ,size, ndim,shape,value, memory_usage(),empty\r\nimport pandas as pd\r\ndata=[(1,'vivek',8000),(2,'vikas',38000),(3,'rahul',78000),(4,'rajesh',55000)]\r\ndf=pd.DataFrame(data)\r\n\r\nprint(df)\r\nprint(df.empty)\r\nprint(df.memory_usage())\r\n# print(\"SIZE: \",df.size)\r\n# print(\"SHAPE: \",df.shape)\r\n# print(\"Dimension: \",df.ndim)\r\n# ar=df.values\r\n# print(type(ar))\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n#mylist=[10,20,30,40,50,60,70,80,90,100]\r\n#df=pd.DataFrame(mylist)\r\n\r\n\r\n\r\n\r\n\r\n# df=pd.DataFrame(data,index=['A','B','C','D'],columns=['M','N','R'])\r\n# print(df)\r\n\r\n<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 # Property of DataFrame # index , columns ,size, ndim,shape,value, memory_usage(),empty import pandas as pd data=[(1,&#8217;vivek&#8217;,8000),(2,&#8217;vikas&#8217;,38000),(3,&#8217;rahul&#8217;,78000),(4,&#8217;rajesh&#8217;,55000)] df=pd.DataFrame(data) print(df) print(df.empty) print(df.memory_usage()) # print(&#8220;SIZE: &#8220;,df.size) # print(&#8220;SHAPE: &#8220;,df.shape) # print(&#8220;Dimension: &#8220;,df.ndim) # ar=df.values #&#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":[34284,9393,34282,30038,34264,34283,9399,34281],"class_list":["post-145177","post","type-post","status-publish","format-standard","hentry","category-pandas","tag-dataframe-properties","tag-pandas","tag-pandas-dataframe-properties","tag-pandas-practical","tag-pandas-program","tag-pandas-program-on-dataframe-properties","tag-pandas-tutorial","tag-properties-of-dataframe-in-pandas"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Properties of Dataframe 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\/properties-of-dataframe-in-pandas\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Properties of Dataframe in Pandas - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 # Property of DataFrame # index , columns ,size, ndim,shape,value, memory_usage(),empty import pandas as pd data=[(1,&#039;vivek&#039;,8000),(2,&#039;vikas&#039;,38000),(3,&#039;rahul&#039;,78000),(4,&#039;rajesh&#039;,55000)] df=pd.DataFrame(data) print(df) print(df.empty) print(df.memory_usage()) # print(&quot;SIZE: &quot;,df.size) # print(&quot;SHAPE: &quot;,df.shape) # print(&quot;Dimension: &quot;,df.ndim) # ar=df.values #&#046;&#046;&#046;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/properties-of-dataframe-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=\"2025-05-30T11:42:19+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":"Properties of Dataframe 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\/properties-of-dataframe-in-pandas\/","og_locale":"en_US","og_type":"article","og_title":"Properties of Dataframe in Pandas - DataFlair","og_description":"Program 1 # Property of DataFrame # index , columns ,size, ndim,shape,value, memory_usage(),empty import pandas as pd data=[(1,'vivek',8000),(2,'vikas',38000),(3,'rahul',78000),(4,'rajesh',55000)] df=pd.DataFrame(data) print(df) print(df.empty) print(df.memory_usage()) # print(\"SIZE: \",df.size) # print(\"SHAPE: \",df.shape) # print(\"Dimension: \",df.ndim) # ar=df.values #&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/properties-of-dataframe-in-pandas\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-05-30T11:42:19+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\/properties-of-dataframe-in-pandas\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/properties-of-dataframe-in-pandas\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Properties of Dataframe in Pandas","datePublished":"2025-05-30T11:42:19+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/properties-of-dataframe-in-pandas\/"},"wordCount":7,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["dataframe properties","Pandas","pandas dataframe properties","pandas practical","pandas program","pandas program on dataframe properties","pandas tutorial","properties of dataframe in pandas"],"articleSection":["Pandas Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/properties-of-dataframe-in-pandas\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/properties-of-dataframe-in-pandas\/","url":"https:\/\/data-flair.training\/blogs\/properties-of-dataframe-in-pandas\/","name":"Properties of Dataframe in Pandas - 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