{"id":8547,"date":"2021-06-10T14:21:07","date_gmt":"2021-06-10T08:51:07","guid":{"rendered":"https:\/\/python-programs.com\/?p=8547"},"modified":"2021-11-22T18:45:25","modified_gmt":"2021-11-22T13:15:25","slug":"pandas-dataframe-get-minimum-values-in-rows-or-columns-their-index-position","status":"publish","type":"post","link":"https:\/\/python-programs.com\/pandas-dataframe-get-minimum-values-in-rows-or-columns-their-index-position\/","title":{"rendered":"Pandas Dataframe: Get minimum values in rows or columns &#038; their index position"},"content":{"rendered":"<h2>Get minimum values in rows or columns &amp; their index position<\/h2>\n<p>In this article we will learn to find minimum values in the rows &amp; columns of a Dataframe and also get index position of minimum values.<\/p>\n<h3>DataFrame.min() :<\/h3>\n<p>A member function is provided by Python&#8217;s Pandas library i.e. <code>DataFrame.min()<\/code> \u00a0which can find the minimum value in a dataframe.<\/p>\n<pre>Syntax:- DataFrame.min(axis=None, skipna=None, level=None, numeric_only=None, **kwargs)<\/pre>\n<p>Some Arguments:<\/p>\n<ol>\n<li><strong>axis-<\/strong> It is the axis along which minimum elements is to be searched. It is index 0 for along the rows and index 1 for along the columns.<\/li>\n<li><strong>skipna-<\/strong> (bool) It will skip NaN or Null. It&#8217;s default is True i.e. it will be skipped if not provided.<\/li>\n<\/ol>\n<p>Now, we will see the implementation of these one by one.<\/p>\n<ul>\n<li><a href=\"#Get_minimum_values_of_every_column\">Get minimum values of every column<\/a><\/li>\n<li><a href=\"#Get_minimum_values_of_every_row\">Get minimum values of every row<\/a><\/li>\n<li><a href=\"#Get_minimum_values_of_every_column_without_skipping_NaN\">Get minimum values of every column without skipping NaN<\/a><\/li>\n<li><a href=\"#Get_minimum_values_of_a_single_column_or_selected_columns\u00a0\">Get minimum values of a single column or selected columns\u00a0<\/a><\/li>\n<li><a href=\"#Get_row_index_label_of_minimum_value_in_every_column\">Get row index label of minimum value in every column<\/a><\/li>\n<li><a href=\"#Get_Column_names_of_minimum_value_in_every_row\">Get Column names of minimum value in every row<\/a><\/li>\n<\/ul>\n<h3>Get minimum values in every row &amp; column of the Dataframe :<\/h3>\n<h3><a id=\"Get_minimum_values_of_every_column\"><\/a>Get minimum values of every column :<\/h3>\n<p>To find the minimum element in every column of dataframe we have to only call min() member function without any argument with the DataFrame object. It will return a series with column name as index label and minimum value of each column in values.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\nimport numpy as dc\r\n# List of Tuples\r\nmatrix = [(10, 20, 15),\r\n          (35, dc.NaN, 21),\r\n          (18, 58, 65),\r\n          (11, 52, dc.NaN),\r\n          (98, 34, 99)\r\n          ]\r\n# Creation of DataFrame object\r\ndatafObj = sc.DataFrame(matrix, index=list('12345'), columns=list('abc'))\r\nprint('Original Dataframe :')\r\nprint(datafObj)\r\n# Get a series that contains minimum values in each column of dataframe\r\nminValues = datafObj.min()\r\nprint('Minimum value in each column of dataframe are : ')\r\nprint(minValues)\r\n<\/pre>\n<pre>Output :\r\nOriginal Dataframe :\r\na\u00a0\u00a0\u00a0\u00a0 b\u00a0\u00a0\u00a0\u00a0 c\r\n1\u00a0 10\u00a0 20.0\u00a0 15.0\r\n2\u00a0 35\u00a0\u00a0 NaN\u00a0 21.0\r\n3\u00a0 18\u00a0 58.0\u00a0 65.0\r\n4\u00a0 11\u00a0 52.0\u00a0\u00a0 NaN\r\n5\u00a0 98\u00a0 34.0\u00a0 99.0\r\nMinimum value in each column of dataframe are :\r\na\u00a0\u00a0\u00a0 10.0\r\nb\u00a0\u00a0\u00a0 20.0\r\nc\u00a0\u00a0\u00a0 15.0\r\ndtype: float64<\/pre>\n<h3><a id=\"Get_minimum_values_of_every_row\"><\/a>Get minimum values of every row :<\/h3>\n<p>To find the minimum values in each row in DataFrame we have to call <code>min()<\/code> member function and pass argument <em>axis=1 <\/em>with DataFrame object.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\nimport numpy as dc\r\n# List of Tuples\r\nmatrix = [(10, 20, 15),\r\n          (35, dc.NaN, 21),\r\n          (18, 58, 65),\r\n          (11, 52, dc.NaN),\r\n          (98, 34, 99)\r\n          ]\r\n# Creation of DataFrame object\r\ndatafObj = sc.DataFrame(matrix, index=list('12345'), columns=list('abc'))\r\nprint('Original Dataframe :')\r\nprint(datafObj)\r\n# Get a series that contains minimum element in each rows of dataframe\r\nminValues = datafObj.min(axis=1)\r\nprint('Minimum value in each row of dataframe are : ')\r\nprint(minValues)\r\n<\/pre>\n<pre>Output :\r\nOriginal Dataframe :\r\na\u00a0\u00a0\u00a0\u00a0 b\u00a0\u00a0\u00a0\u00a0 c\r\n1\u00a0 10\u00a0 20.0\u00a0 15.0\r\n2\u00a0 35\u00a0\u00a0 NaN\u00a0 21.0\r\n3\u00a0 18\u00a0 58.0\u00a0 65.0\r\n4\u00a0 11\u00a0 52.0\u00a0\u00a0 NaN\r\n5\u00a0 98\u00a0 34.0\u00a0 99.0\r\nMinimum value in each row of dataframe are :\r\n1\u00a0\u00a0\u00a0 10.0\r\n2\u00a0\u00a0\u00a0 21.0\r\n3\u00a0\u00a0\u00a0 18.0\r\n4\u00a0\u00a0\u00a0 11.0\r\n5\u00a0\u00a0\u00a0 34.0\r\ndtype: float64<\/pre>\n<p>In above cases we saw that it has skipped NaN, if we want we can also include NaN.<\/p>\n<h3><a id=\"Get_minimum_values_of_every_column_without_skipping_NaN\"><\/a>Get minimum values of every column without skipping NaN :<\/h3>\n<p>To get minimum value of every column without skipping NaN we have to pass <em>skipna=False.<\/em><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\nimport numpy as dc\r\n# List of Tuples\r\nmatrix = [(10, 20, 15),\r\n          (35, dc.NaN, 21),\r\n          (18, 58, 65),\r\n          (11, 52, dc.NaN),\r\n          (98, 34, 99)\r\n          ]\r\n# Creation of DataFrame object\r\ndatafObj = sc.DataFrame(matrix, index=list('12345'), columns=list('abc'))\r\n# Get a series that contains minimum elements in each column including NaN\r\nminValues = datafObj.min(skipna=False)\r\nprint('Minimum value in each column including NaN of dataframe are : ')\r\nprint(minValues)\r\n<\/pre>\n<pre>Output :\r\nMinimum value in each column including NaN of dataframe are :\r\na\u00a0\u00a0\u00a0 10.0\r\nb\u00a0\u00a0\u00a0\u00a0 NaN\r\nc\u00a0\u00a0\u00a0\u00a0 NaN\r\ndtype: float64<\/pre>\n<h3><a id=\"Get_minimum_values_of_a_single_column_or_selected_columns\u00a0\"><\/a>Get minimum values of a single column or selected columns :<\/h3>\n<p>We can get minimum value of single column by calling min() member function by selecting that single column from given dataframe.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\nimport numpy as dc\r\n# List of Tuples\r\nmatrix = [(10, 20, 15),\r\n          (35, dc.NaN, 21),\r\n          (18, 58, 65),\r\n          (11, 52, dc.NaN),\r\n          (98, 34, 99)\r\n          ]\r\n# Creation of DataFrame object\r\ndatafObj = sc.DataFrame(matrix, index=list('12345'), columns=list('abc'))\r\n# Get minimum element of  a single column 'y'\r\nminValues = datafObj['c'].min()\r\nprint(\"minimum value in column 'c' is : \" , minValues)\r\n<\/pre>\n<pre>Output :\r\nminimum value in column 'c' is :\u00a0 15.0<\/pre>\n<p>We can also get minimum value of selected columns by passing list of those columns.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\nimport numpy as dc\r\n# List of Tuples\r\nmatrix = [(10, 20, 15),\r\n          (35, dc.NaN, 21),\r\n          (18, 58, 65),\r\n          (11, 52, dc.NaN),\r\n          (98, 34, 99)\r\n          ]\r\n# Creation of DataFrame object\r\ndatafObj = sc.DataFrame(matrix, index=list('12345'), columns=list('abc'))\r\n# Get minimum value of a 'a' &amp; 'b' columns of dataframe\r\nminValues = datafObj[['a', 'b']].min()\r\nprint(\"minimum value in column 'a' &amp; 'b' are : \")\r\nprint(minValues)\r\n<\/pre>\n<pre>Output :\r\nminimum value in column 'a' &amp; 'b' are :\r\na\u00a0\u00a0\u00a0 10.0\r\nb\u00a0\u00a0\u00a0 20.0\r\ndtype: float64<\/pre>\n<h3><a id=\"Get_row_index_label_of_minimum_value_in_every_column\"><\/a>Get row index label or position of minimum values of every column :<\/h3>\n<h4>DataFrame.idxmin() :<\/h4>\n<p>We can also get the position of minimum value of DataFrame using pandas library function i.e. <em>idxmin().<\/em><\/p>\n<pre><u>Syntax<\/u>:- DataFrame.idxmin(axis=0, skipna=True)<\/pre>\n<h3>Get row index label of minimum value in every column :<\/h3>\n<p>We can create a series which contains column names as index and row index labels where minimum element is found.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\nimport numpy as dc\r\n# List of Tuples\r\nmatrix = [(10, 20, 15),\r\n          (35, dc.NaN, 21),\r\n          (18, 58, 65),\r\n          (11, 52, dc.NaN),\r\n          (98, 34, 99)\r\n          ]\r\n# Creation of DataFrame object\r\ndatafObj = sc.DataFrame(matrix, index=list('12345'), columns=list('abc'))\r\n# Get the index position of minimum values in every column of dataframe\r\nminValuesIndex = datafObj.idxmin()\r\nprint(\"min values of columns are at row index position :\")\r\nprint(minValuesIndex)\r\n<\/pre>\n<pre>Output :\r\nmin values of columns are at row index position :\r\na\u00a0\u00a0\u00a0 1\r\nb\u00a0\u00a0\u00a0 1\r\nc\u00a0\u00a0\u00a0 1\r\ndtype: object<\/pre>\n<h3><a id=\"Get_Column_names_of_minimum_value_in_every_row\"><\/a>Get Column names of minimum value in every row<\/h3>\n<p>We can also create a series which contains row index labels as index and column names as values where each row has minimum value.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\nimport numpy as dc\r\n# List of Tuples\r\nmatrix = [(10, 20, 15),\r\n          (35, dc.NaN, 21),\r\n          (18, 58, 65),\r\n          (11, 52, dc.NaN),\r\n          (98, 34, 99)\r\n          ]\r\n# Creation of DataFrame object\r\ndatafObj = sc.DataFrame(matrix, index=list('12345'), columns=list('abc'))\r\n# Get minimum value of elements in row at respective column\r\nminValuesIndex = datafObj.idxmin(axis=1)\r\nprint(\" Minimum value in row at respective column of dataframe :\")\r\nprint(minValuesIndex)\r\n<\/pre>\n<pre>Output :\r\nMinimum value in row at respective column of dataframe :\r\n1\u00a0\u00a0\u00a0 a\r\n2\u00a0\u00a0\u00a0 c\r\n3\u00a0\u00a0\u00a0 a\r\n4\u00a0\u00a0\u00a0 a\r\n5\u00a0\u00a0\u00a0 b\r\ndtype: object<\/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 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-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\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/\">Select first or last N rows in a Dataframe using head() &amp; tail()<\/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>Get minimum values in rows or columns &amp; their index position In this article we will learn to find minimum values in the rows &amp; columns of a Dataframe and also get index position of minimum values. DataFrame.min() : A member function is provided by Python&#8217;s Pandas library i.e. DataFrame.min() \u00a0which can find the minimum &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/pandas-dataframe-get-minimum-values-in-rows-or-columns-their-index-position\/\"> <span class=\"screen-reader-text\">Pandas Dataframe: Get minimum values in rows or columns &#038; their index position<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":9,"featured_media":8554,"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 Dataframe: Get minimum values in rows or columns &amp; their index position - 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-dataframe-get-minimum-values-in-rows-or-columns-their-index-position\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas Dataframe: Get minimum values in rows or columns &amp; their index position - Python Programs\" \/>\n<meta property=\"og:description\" content=\"Get minimum values in rows or columns &amp; their index position In this article we will learn to find minimum values in the rows &amp; columns of a Dataframe and also get index position of minimum values. 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