{"id":129430,"date":"2023-12-14T14:28:46","date_gmt":"2023-12-14T08:58:46","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=129430"},"modified":"2023-12-14T14:28:46","modified_gmt":"2023-12-14T08:58:46","slug":"practical-implementation-of-pandas-dataframe-attributes","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/","title":{"rendered":"Practical Implementation of Pandas DataFrame Attributes"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\nmydata=[(101,'Vishal',9000),(102,'Amit',7000),(103,'Rajesh',8000),(104,'Vinit',8000)]\r\ndf=pd.DataFrame(mydata,index=['a''b''c''d'],columns=['A','B','C'])\r\n#print(df.size)\r\n#print(df.ndim)\r\n#print(df.shape)\r\n#print(df.values)\r\n#print(df.memory_usage())<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 import pandas as pd mydata=[(101,&#8217;Vishal&#8217;,9000),(102,&#8217;Amit&#8217;,7000),(103,&#8217;Rajesh&#8217;,8000),(104,&#8217;Vinit&#8217;,8000)] df=pd.DataFrame(mydata,index=[&#8216;a&#8221;b&#8221;c&#8221;d&#8217;],columns=[&#8216;A&#8217;,&#8217;B&#8217;,&#8217;C&#8217;]) #print(df.size) #print(df.ndim) #print(df.shape) #print(df.values) #print(df.memory_usage()) &nbsp;<\/p>\n","protected":false},"author":86671,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19475],"tags":[30101,30102,30038,30100,10755],"class_list":["post-129430","post","type-post","status-publish","format-standard","hentry","category-pandas","tag-implementation-of-pandas-dataframe-attributes","tag-pandas-dataframe-attributes","tag-pandas-practical","tag-practical-implementation-of-pandas-dataframe-attributes","tag-python-pandas"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Practical Implementation of Pandas DataFrame Attributes - 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\/practical-implementation-of-pandas-dataframe-attributes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Practical Implementation of Pandas DataFrame Attributes - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 import pandas as pd mydata=[(101,&#039;Vishal&#039;,9000),(102,&#039;Amit&#039;,7000),(103,&#039;Rajesh&#039;,8000),(104,&#039;Vinit&#039;,8000)] df=pd.DataFrame(mydata,index=[&#039;a&#039;&#039;b&#039;&#039;c&#039;&#039;d&#039;],columns=[&#039;A&#039;,&#039;B&#039;,&#039;C&#039;]) #print(df.size) #print(df.ndim) #print(df.shape) #print(df.values) #print(df.memory_usage()) &nbsp;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/\" \/>\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=\"2023-12-14T08:58:46+00:00\" \/>\n<meta name=\"author\" content=\"TechVidvan 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=\"TechVidvan 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":"Practical Implementation of Pandas DataFrame Attributes - 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\/practical-implementation-of-pandas-dataframe-attributes\/","og_locale":"en_US","og_type":"article","og_title":"Practical Implementation of Pandas DataFrame Attributes - DataFlair","og_description":"Program 1 import pandas as pd mydata=[(101,'Vishal',9000),(102,'Amit',7000),(103,'Rajesh',8000),(104,'Vinit',8000)] df=pd.DataFrame(mydata,index=['a''b''c''d'],columns=['A','B','C']) #print(df.size) #print(df.ndim) #print(df.shape) #print(df.values) #print(df.memory_usage()) &nbsp;","og_url":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2023-12-14T08:58:46+00:00","author":"TechVidvan Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"TechVidvan Team","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/"},"author":{"name":"TechVidvan Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/0e594f928e31fc96628ac40f6ae74f49"},"headline":"Practical Implementation of Pandas DataFrame Attributes","datePublished":"2023-12-14T08:58:46+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/"},"wordCount":8,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["implementation of pandas dataframe attributes","pandas dataframe attributes","pandas practical","Practical Implementation of Pandas DataFrame Attributes","Python Pandas"],"articleSection":["Pandas Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/","url":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/","name":"Practical Implementation of Pandas DataFrame Attributes - DataFlair","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/#website"},"datePublished":"2023-12-14T08:58:46+00:00","breadcrumb":{"@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/data-flair.training\/blogs\/practical-implementation-of-pandas-dataframe-attributes\/#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":"Practical Implementation of Pandas DataFrame Attributes"}]},{"@type":"WebSite","@id":"https:\/\/data-flair.training\/blogs\/#website","url":"https:\/\/data-flair.training\/blogs\/","name":"DataFlair","description":"Learn Today. Lead Tomorrow.","publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/data-flair.training\/blogs\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/data-flair.training\/blogs\/#organization","name":"DataFlair","url":"https:\/\/data-flair.training\/blogs\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/logo\/image\/","url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2016\/07\/Data-Flair.png","contentUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2016\/07\/Data-Flair.png","width":106,"height":48,"caption":"DataFlair"},"image":{"@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataFlairWS\/","https:\/\/x.com\/DataFlairWS","https:\/\/www.linkedin.com\/company\/dataflair-web-services-pvt-ltd\/","https:\/\/www.youtube.com\/user\/DataFlairWS"]},{"@type":"Person","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/0e594f928e31fc96628ac40f6ae74f49","name":"TechVidvan Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/c89190da3d4010c71ba476b618ab10fdc2335c82cdfa0ad5002d98d0f2473444?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/c89190da3d4010c71ba476b618ab10fdc2335c82cdfa0ad5002d98d0f2473444?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/c89190da3d4010c71ba476b618ab10fdc2335c82cdfa0ad5002d98d0f2473444?s=96&d=mm&r=g","caption":"TechVidvan Team"},"description":"TechVidvan Team provides high-quality content &amp; courses on AI, ML, Data Science, Data Engineering, Data Analytics, programming, Python, DSA, Android, Flutter, full stack web dev, MERN, and many latest technology.","url":"https:\/\/data-flair.training\/blogs\/author\/test001\/"}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/129430","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/users\/86671"}],"replies":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/comments?post=129430"}],"version-history":[{"count":3,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/129430\/revisions"}],"predecessor-version":[{"id":132154,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/129430\/revisions\/132154"}],"wp:attachment":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/media?parent=129430"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/categories?post=129430"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/tags?post=129430"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}