{"id":6093,"date":"2023-10-29T16:56:29","date_gmt":"2023-10-29T11:26:29","guid":{"rendered":"https:\/\/python-programs.com\/?p=6093"},"modified":"2023-11-10T12:06:42","modified_gmt":"2023-11-10T06:36:42","slug":"pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail","status":"publish","type":"post","link":"https:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/","title":{"rendered":"Pandas: Select first or last N rows in a Dataframe using head() &#038; tail()"},"content":{"rendered":"<p>In this tutorial, we are going to discuss how to select the first or last N rows in a Dataframe using head() &amp; tail() functions. This guide describes the following contents.<\/p>\n<ul>\n<li><a href=\"#Select_first_N_Rows_from_a_Dataframe_using_head()_function\">Select first N Rows from a Dataframe using head() function<\/a><\/li>\n<li><a href=\"#Select_first_N_rows_from_the_dataframe_with_specific_columns\">Select first N rows from the dataframe with specific columns<\/a><\/li>\n<li><a href=\"#Select_last_N_Rows_from_a_Dataframe_using_tail()_function\">Select last N Rows from a Dataframe using tail() function<\/a><\/li>\n<li><a href=\"#Select_bottom_N_rows_from_the_dataframe_with_specific_columns\">Select bottom N rows from the dataframe with specific columns<\/a><\/li>\n<\/ul>\n<h2><a id=\"Select_first_N_Rows_from_a_Dataframe_using_head()_function\"><\/a>Select first N Rows from a Dataframe using head() function<\/h2>\n<h3>pandas.DataFrame.head()<\/h3>\n<p>In Python&#8217;s Pandas module, the Dataframe class gives the head() function to fetch top rows from it.<\/p>\n<p><strong>Syntax:<\/strong><\/p>\n<p><code class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">DataFrame.head(self, n=5)<\/code><\/p>\n<p>If we give some value to n it will return n number of rows otherwise default is 5.<\/p>\n<p>Let&#8217;s create a dataframe first,<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\n# List of Tuples\r\nempoyees = [('Ram', 34, 'Sunderpur', 5) ,\r\n           ('Riti', 31, 'Delhi' , 7) ,\r\n           ('Aman', 16, 'Thane', 9) ,\r\n           ('Shishir', 41,'Delhi' , 12) ,\r\n           ('Veeru', 33, 'Delhi' , 4) ,\r\n           ('Shan',35,'Mumbai', 5 ),\r\n           ('Shikha', 35, 'kolkata', 11)\r\n            ]\r\n# Create a DataFrame object\r\nempDfObj = pd.DataFrame(empoyees, columns=['Name', 'Age', 'City', 'Experience'], index=['a', 'b', 'c', 'd', 'e', 'f', 'g'])\r\nprint(\"Contents of the Dataframe : \")\r\nprint(empDfObj)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>Contents of the Dataframe :\r\n     Name  Age  City           Experience\r\na   Ram     34   Sunderpur 5\r\nb   Riti       31  Delhi          7\r\nc   Aman   16  Thane         9\r\nd  Shishir   41 Delhi          12\r\ne  Veeru     33 Delhi          4\r\nf   Shan      35 Mumbai     5\r\ng  Shikha   35 kolkata      11\r\n\r\n<\/pre>\n<p>So if we want to select the top 4 rows from the dataframe,<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\n# List of Tuples\r\nempoyees = [('Ram', 34, 'Sunderpur', 5) ,\r\n           ('Riti', 31, 'Delhi' , 7) ,\r\n           ('Aman', 16, 'Thane', 9) ,\r\n           ('Shishir', 41,'Delhi' , 12) ,\r\n           ('Veeru', 33, 'Delhi' , 4) ,\r\n           ('Shan',35,'Mumbai', 5 ),\r\n           ('Shikha', 35, 'kolkata', 11)\r\n            ]\r\n# Create a DataFrame object\r\nempDfObj = pd.DataFrame(empoyees, columns=['Name', 'Age', 'City', 'Experience'], index=['a', 'b', 'c', 'd', 'e', 'f', 'g'])\r\n\r\ndfObj1 = empDfObj.head(4)\r\nprint(\"First 4 rows of the Dataframe : \")\r\nprint(dfObj1)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>First 4 rows of the Dataframe :\r\n  Name    Age   City         Experience\r\na Ram      34     Sunderpur 5\r\nb Riti        31    Delhi          7\r\nc Aman    16    Thane        9\r\nd Shishir   41   Delhi         12\r\n\r\n<\/pre>\n<p>So in the above example, you can see that we have given n value 4 so it returned the top 4 rows from the dataframe.<\/p>\n<p><span style=\"color: #ff6600;\">Do Check:<\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/python-programs.com\/python-numpy-flatten-function-tutorial-with-examples\/\">Python: numpy.flatten() \u2013 Function Tutorial with examples<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/python-add-column-to-dataframe-in-pandas-based-on-other-column-or-list-or-default-value\/\">Python: Add column to dataframe in Pandas ( based on other column or list or default value)<\/a><\/li>\n<\/ul>\n<h3><a id=\"Select_first_N_rows_from_the_dataframe_with_specific_columns\"><\/a>Select first N rows from the dataframe with specific columns<\/h3>\n<p>In this, while selecting the first 3 rows, we can select specific columns too,<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\n# List of Tuples\r\nempoyees = [('Ram', 34, 'Sunderpur', 5) ,\r\n           ('Riti', 31, 'Delhi' , 7) ,\r\n           ('Aman', 16, 'Thane', 9) ,\r\n           ('Shishir', 41,'Delhi' , 12) ,\r\n           ('Veeru', 33, 'Delhi' , 4) ,\r\n           ('Shan',35,'Mumbai', 5 ),\r\n           ('Shikha', 35, 'kolkata', 11)\r\n            ]\r\n# Create a DataFrame object\r\nempDfObj = pd.DataFrame(empoyees, columns=['Name', 'Age', 'City', 'Experience'], index=['a', 'b', 'c', 'd', 'e', 'f', 'g'])\r\n\r\n# Select the top 3 rows of the Dataframe for 2 columns only\r\ndfObj1 = empDfObj[['Name', 'City']].head(3)\r\nprint(\"First 3 rows of the Dataframe for 2 columns : \")\r\nprint(dfObj1)\r\n<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>First 3 rows of the Dataframe for 2 columns :\r\n   Name  City\r\na Ram    Sunderpur\r\nb Riti      Delhi\r\nc Aman  Thane\r\n<\/pre>\n<h3><a id=\"Select_last_N_Rows_from_a_Dataframe_using_tail()_function\"><\/a>Select last N Rows from a Dataframe using tail() function<\/h3>\n<p>In the Pandas module, the Dataframe class provides a tail() function to select bottom rows from a Dataframe.<\/p>\n<p>Syntax:<\/p>\n<p><code class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">DataFrame.tail(self, n=5)<\/code><\/p>\n<p>It will return the last n rows from a dataframe. If n is not provided then the default value is 5. So for this, we are going to use the above dataframe as an example,<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\n# List of Tuples\r\nempoyees = [('Ram', 34, 'Sunderpur', 5) ,\r\n           ('Riti', 31, 'Delhi' , 7) ,\r\n           ('Aman', 16, 'Thane', 9) ,\r\n           ('Shishir', 41,'Delhi' , 12) ,\r\n           ('Veeru', 33, 'Delhi' , 4) ,\r\n           ('Shan',35,'Mumbai', 5 ),\r\n           ('Shikha', 35, 'kolkata', 11)\r\n            ]\r\n# Create a DataFrame object\r\nempDfObj = pd.DataFrame(empoyees, columns=['Name', 'Age', 'City', 'Experience'], index=['a', 'b', 'c', 'd', 'e', 'f', 'g'])\r\n\r\n# Select the last 4 rows of the Dataframe\r\ndfObj1 = empDfObj.tail(4)\r\nprint(\"Last 4 rows of the Dataframe : \")\r\nprint(dfObj1)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>Last 5 rows of the Dataframe :\r\n  Name     Age City    Experience\r\nd Shishir   41   Delhi      12\r\ne Veeru    33   Delhi       4\r\nf Shan      35   Mumbai  5\r\ng Shikha  35   kolkata    11\r\n\r\n<\/pre>\n<p>So in above example, you can see that we are given n value 4 so tail() function return last 4 data value.<\/p>\n<h3><a id=\"Select_bottom_N_rows_from_the_dataframe_with_specific_columns\"><\/a>Select bottom N rows from the dataframe with specific columns<\/h3>\n<p>In this, while selecting the last 4 rows, we can select specific columns too,<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\n# List of Tuples\r\nempoyees = [('Ram', 34, 'Sunderpur', 5) ,\r\n           ('Riti', 31, 'Delhi' , 7) ,\r\n           ('Aman', 16, 'Thane', 9) ,\r\n           ('Shishir', 41,'Delhi' , 12) ,\r\n           ('Veeru', 33, 'Delhi' , 4) ,\r\n           ('Shan',35,'Mumbai', 5 ),\r\n           ('Shikha', 35, 'kolkata', 11)\r\n            ]\r\n# Create a DataFrame object\r\nempDfObj = pd.DataFrame(empoyees, columns=['Name', 'Age', 'City', 'Experience'], index=['a', 'b', 'c', 'd', 'e', 'f', 'g'])\r\n\r\n# Select the bottom 4 rows of the Dataframe for 2 columns only\r\ndfObj1 = empDfObj[['Name', 'City']].tail(4)\r\nprint(\"Last 4 rows of the Dataframe for 2 columns : \")\r\nprint(dfObj1)\r\n<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>Last 4 rows of the Dataframe for 2 columns :\r\n     Name   City\r\nd\u00a0 Shishir\u00a0 Delhi\r\ne\u00a0 Veeru\u00a0 \u00a0 Delhi\r\nf\u00a0 \u00a0Shan\u00a0 \u00a0 \u00a0Mumbai\r\ng\u00a0 Shikha\u00a0 \u00a0kolkata\r\n<\/pre>\n<h3>Conclusion:<\/h3>\n<p>In this article, you have seen how to select first or last N\u00a0 rows in a Dataframe using head() &amp; tail() functions. Thank you!<\/p>\n<p>Want to expert in the python programming language? Exploring\u00a0<a href=\"https:\/\/python-programs.com\/python-data-analysis-using-pandas\/\">Python Data Analysis using Pandas<\/a>\u00a0tutorial changes your knowledge from basic to advance level in python concepts.<\/p>\n<p><strong>Read more Articles on Python Data Analysis Using Padas \u2013 Select items from a Dataframe<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/python-programs.com\/select-rows-columns-by-name-or-index-in-dataframe-using-loc-iloc-python-pandas\/\">Select Rows &amp; Columns in a Dataframe using loc &amp; iloc in<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/select-rows-columns-by-name-or-index-in-dataframe-using-loc-iloc-python-pandas\/\">Select Rows\u00a0in a Dataframe\u00a0based on conditions<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-dataframe-get-minimum-values-in-rows-or-columns-their-index-position\/\">Get minimum values in rows or columns &amp; their index position in Dataframe<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-get-unique-values-in-columns-of-a-dataframe-in-python\/\">Get unique values in columns of a Dataframe<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/get-rows-and-columns-names-in-dataframe-using-python\/\">Get a list of column and row names in a DataFrame<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-convert-a-dataframe-into-a-list-of-rows-or-columns-in-python-list-of-lists\/\">Get DataFrame contents as a list of rows or columns (list of lists)<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>In this tutorial, we are going to discuss how to select the first or last N rows in a Dataframe using head() &amp; tail() functions. This guide describes the following contents. Select first N Rows from a Dataframe using head() function Select first N rows from the dataframe with specific columns Select last N Rows &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/\"> <span class=\"screen-reader-text\">Pandas: Select first or last N rows in a Dataframe using head() &#038; tail()<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":4,"featured_media":6120,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true},"categories":[5],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas: Select first or last N rows in a Dataframe using head() &amp; tail() - Python Programs<\/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:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: Select first or last N rows in a Dataframe using head() &amp; tail() - Python Programs\" \/>\n<meta property=\"og:description\" content=\"In this tutorial, we are going to discuss how to select the first or last N rows in a Dataframe using head() &amp; tail() functions. 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This guide describes the following contents. Select first N Rows from a Dataframe using head() function Select first N rows from the dataframe with specific columns Select last N Rows &hellip; Pandas: Select first or last N rows in a Dataframe using head() &#038; tail() Read More &raquo;","og_url":"https:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/","og_site_name":"Python Programs","article_publisher":"https:\/\/www.facebook.com\/btechgeeks","article_published_time":"2023-10-29T11:26:29+00:00","article_modified_time":"2023-11-10T06:36:42+00:00","og_image":[{"width":1280,"height":720,"url":"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Pandas-Select-first-or-last-N-rows-in-a-Dataframe-using-head-tail.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_creator":"@btech_geeks","twitter_site":"@btech_geeks","twitter_misc":{"Written by":"Shikha Mishra","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Organization","@id":"https:\/\/python-programs.com\/#organization","name":"BTech Geeks","url":"https:\/\/python-programs.com\/","sameAs":["https:\/\/www.instagram.com\/btechgeeks\/","https:\/\/www.linkedin.com\/in\/btechgeeks","https:\/\/in.pinterest.com\/btechgeek\/","https:\/\/www.youtube.com\/channel\/UC9MlCqdJ3lKqz2p5114SDIg","https:\/\/www.facebook.com\/btechgeeks","https:\/\/twitter.com\/btech_geeks"],"logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/python-programs.com\/#\/schema\/logo\/image\/","url":"https:\/\/python-programs.com\/wp-content\/uploads\/2020\/11\/BTechGeeks.png","contentUrl":"https:\/\/python-programs.com\/wp-content\/uploads\/2020\/11\/BTechGeeks.png","width":350,"height":70,"caption":"BTech Geeks"},"image":{"@id":"https:\/\/python-programs.com\/#\/schema\/logo\/image\/"}},{"@type":"WebSite","@id":"https:\/\/python-programs.com\/#website","url":"https:\/\/python-programs.com\/","name":"Python Programs","description":"Python Programs with Examples, How To Guides on Python","publisher":{"@id":"https:\/\/python-programs.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/python-programs.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/#primaryimage","url":"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Pandas-Select-first-or-last-N-rows-in-a-Dataframe-using-head-tail.png","contentUrl":"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Pandas-Select-first-or-last-N-rows-in-a-Dataframe-using-head-tail.png","width":1280,"height":720,"caption":"Pandas- Select first or last N rows in a Dataframe using head() & tail()"},{"@type":"WebPage","@id":"https:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/#webpage","url":"https:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/","name":"Pandas: Select first or last N rows in a Dataframe using head() & tail() - Python Programs","isPartOf":{"@id":"https:\/\/python-programs.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/#primaryimage"},"datePublished":"2023-10-29T11:26:29+00:00","dateModified":"2023-11-10T06:36:42+00:00","breadcrumb":{"@id":"https:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/python-programs.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/python-programs.com\/"},{"@type":"ListItem","position":2,"name":"Pandas: Select first or last N rows in a Dataframe using head() &#038; 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