{"id":5280,"date":"2021-05-10T09:32:13","date_gmt":"2021-05-10T04:02:13","guid":{"rendered":"https:\/\/python-programs.com\/?p=5280"},"modified":"2021-11-22T18:42:49","modified_gmt":"2021-11-22T13:12:49","slug":"pandas-find-duplicate-rows-in-a-dataframe-based-on-all-or-selected-columns-using-dataframe-duplicated-in-python","status":"publish","type":"post","link":"https:\/\/python-programs.com\/pandas-find-duplicate-rows-in-a-dataframe-based-on-all-or-selected-columns-using-dataframe-duplicated-in-python\/","title":{"rendered":"Pandas : Find duplicate rows in a Dataframe based on all or selected columns using DataFrame.duplicated() in Python"},"content":{"rendered":"<h2>How to find duplicate rows in a Dataframe based on all or selected columns using DataFrame.duplicate() in Python ?<\/h2>\n<p>In this article we will discuss about how we can find duplicate rows in a Dataframe based on all or selected columns using <code>DataFrame.duplicated()<\/code>. So first let&#8217;s know about this <code>duplicated()<\/code> function then we will see how it actually works.<\/p>\n<h3>DataFrame.duplicated()<\/h3>\n<p>Python&#8217;s Pandas library contains DataFrame class which provides a function i.e. <code>duplicated()<\/code> that helps in finding duplicate rows based on specific or all columns.<\/p>\n<pre>Synatx : DataFrame.duplicated (subset='None', keep='first')<\/pre>\n<p>where,<\/p>\n<ul>\n<li><strong>subset :<\/strong> It represents single or multiple column labels which will be used for duplication check. If it is not provided then all columns will be checked for finding duplicate rows.<\/li>\n<li><strong>keep :<\/strong> It represents the occurrence which needs to be marked as duplicate. Its value can be (<strong>first<\/strong> : here all duplicate rows except their first occurrence are returned and it is the default value also, <strong>last :<\/strong> here all duplicate rows except their last occurrence are returned and <strong>false :<\/strong> here all duplicate rows except occurrence are returned)<\/li>\n<\/ul>\n<h3>Find Duplicate rows based on all columns :<\/h3>\n<p>To find all the duplicate rows based on all columns, we should not pass any argument in <em>subset <\/em>while calling <code>DataFrame.duplicate()<\/code>. If any duplicate rows found, <em><code>True<\/code> <\/em>will be returned at place of the duplicated rows expect the first occurrence as default value of <em><code>keep<\/code> <\/em>argument is <code>first<\/code>.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\n\r\n# List of Tuples\r\n\r\nplayers = [('MI', 'Surya', 487),\r\n\r\n('RR', 'Buttler', 438),\r\n\r\n('CSK', 'Jadeja', 456),\r\n\r\n('CSK', 'Jadeja', 456),\r\n\r\n('KKR', 'Gill', 337),\r\n\r\n('SRH', 'Roy', 241),\r\n\r\n('DC', 'Rahane', 221),\r\n\r\n('CSK', 'Dhoni', 446),\r\n\r\n('PK', 'Malan', 298)\r\n\r\n]\r\n\r\n# To create a DataFrame object\r\n\r\ndfObjs = sc.DataFrame(players, columns=['Team', 'Player', 'Runs'])\r\n\r\n# To select duplicate rows based on all columns except the first occurrence\r\n\r\ndupliRows = dfObjs[dfObjs.duplicated()]\r\n\r\nprint(\"Duplicate rows based on all column excluding first occurrence is:\")\r\n\r\nprint(dupliRows)<\/pre>\n<pre>Output :\r\nDuplicate rows based on all column excluding first occurrence is:\r\nTeam\u00a0 Player\u00a0 Runs\r\n3\u00a0 CSK\u00a0 Jadeja\u00a0\u00a0 456\r\n\r\n\r\n<\/pre>\n<p>In the above example all duplicate values returned except the first occurrence, because the by default value of <code>keep<\/code> is <code>first<\/code>.<\/p>\n<p>Note : If we make <em><code>keep<\/code><\/em> argument as <em><code>last<\/code> <\/em>then while finding the duplicate rows last occurrence will be ignored.<\/p>\n<h3>Find Duplicate Rows based on selected columns :<\/h3>\n<p>If we want to find duplicate compare rows on selected column, then we should pass the columns names as argument in duplicate(), which will return the duplicate rows based on passed or selected columns. Similarly in this case also first occurrence is ignored.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#Program :\r\n\r\nimport pandas as sc\r\n\r\n# List of Tuples\r\n\r\nplayers = [('MI', 'Surya', 487),\r\n\r\n('RR', 'Buttler', 438),\r\n\r\n('DC', 'Pant', 337),\r\n\r\n('CSK', 'Dhoni', 456),\r\n\r\n('KKR', 'Gill', 337),\r\n\r\n('SRH', 'Roy', 241),\r\n\r\n('DC', 'Rahane', 337),\r\n\r\n('DC', 'Iyer', 337),\r\n\r\n('PK', 'Malan', 298)\r\n\r\n]\r\n\r\n# To create a DataFrame object\r\n\r\ndfObjs = sc.DataFrame(players, columns=['Team', 'Player', 'Runs'])\r\n\r\n# Select all duplicate rows based on one column\r\n\r\n# To select the duplicated rows based on column that is passed as argument\r\n\r\ndupliRows = dfObjs[dfObjs.duplicated(['Team','Runs'])]\r\n\r\nprint(\"Duplicate Rows based on a selected column are:\", dupliRows, sep='\\n')\r\n<\/pre>\n<pre>Output :\r\nDuplicate Rows based on a selected column are:\r\n  \u00a0 \u00a0Team\u00a0 \u00a0Player\u00a0 \u00a0 \u00a0 Runs\r\n6\u00a0 \u00a0 DC\u00a0 \u00a0 \u00a0 Rahane\u00a0 \u00a0 337\r\n7\u00a0 \u00a0 DC\u00a0 \u00a0 \u00a0 Iyer\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 337<\/pre>\n<p>By default value of <code>keep<\/code> is first, so only matched first row is ignored. Here, we have found rows based on selected columns. In this example we have selected\u00a0 columns (Team and Runs) based on which 3 rows matches i.e<\/p>\n<pre>'DC', 'Pant', 337\r\n'DC', 'Rahane', 337\r\n'DC', 'Iyer', 337<\/pre>\n<p>Out of which last two rows are displayed and first row is ignored as the keep value is <code>first<\/code>(default value).<\/p>\n<p>So it returned last two rows as output i.e<\/p>\n<pre>'DC', 'Rahane', 337\r\n'DC', 'Iyer', 337<\/pre>\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 Find Elements in a Dataframe<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/python-programs.com\/pandas-check-if-a-value-exists-in-a-dataframe-using-in-not-in-operator-isin\/\">Check if a value exists in a DataFrame using in &amp; not in operator | isin()<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-sort-rows-or-columns-in-dataframe-based-on-values-using-dataframe-sort_values\/\">Find &amp; Drop duplicate columns in a DataFrame<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-4-ways-to-check-if-a-dataframe-is-empty-in-python\/\">Check if a DataFrame is empty in Python<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-find-maximum-values-position-in-columns-or-rows-of-a-dataframe\/\">Find maximum values &amp; position in columns or rows of a Dataframe<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/python-find-indexes-of-an-element-in-pandas-dataframe\/\">Find indexes of an element in pandas dataframe<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>How to find duplicate rows in a Dataframe based on all or selected columns using DataFrame.duplicate() in Python ? In this article we will discuss about how we can find duplicate rows in a Dataframe based on all or selected columns using DataFrame.duplicated(). So first let&#8217;s know about this duplicated() function then we will see &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/pandas-find-duplicate-rows-in-a-dataframe-based-on-all-or-selected-columns-using-dataframe-duplicated-in-python\/\"> <span class=\"screen-reader-text\">Pandas : Find duplicate rows in a Dataframe based on all or selected columns using DataFrame.duplicated() in Python<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":9,"featured_media":0,"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 : Find duplicate rows in a Dataframe based on all or selected columns using DataFrame.duplicated() in Python - 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-find-duplicate-rows-in-a-dataframe-based-on-all-or-selected-columns-using-dataframe-duplicated-in-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas : Find duplicate rows in a Dataframe based on all or selected columns using DataFrame.duplicated() in Python - Python Programs\" \/>\n<meta property=\"og:description\" content=\"How to find duplicate rows in a Dataframe based on all or selected columns using DataFrame.duplicate() in Python ? 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