{"id":220352,"date":"2025-02-24T09:30:50","date_gmt":"2025-02-24T09:30:50","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/how-to-find-max-value-of-a-column-in-pandas\/"},"modified":"2025-02-24T09:30:50","modified_gmt":"2025-02-24T09:30:50","slug":"how-to-find-max-value-of-a-column-in-pandas","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-find-max-value-of-a-column-in-pandas\/","title":{"rendered":"How to find max value of a column in pandas?"},"content":{"rendered":"<p>Pandas is a popular open-source library in Python for data manipulation and analysis. It provides powerful data structures and data analysis tools, making it an ideal choice for working with structured data. One common task when working with data is to find the maximum value of a column. In this article, we will explore different methods to find the maximum value of a column in pandas.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_62 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/namso-gen.co\/blog\/how-to-find-max-value-of-a-column-in-pandas\/#How_to_find_max_value_of_a_column_in_pandas\" title=\"How to find max value of a column in pandas?\">How to find max value of a column in pandas?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/namso-gen.co\/blog\/how-to-find-max-value-of-a-column-in-pandas\/#What_if_the_column_contains_missing_values\" title=\"What if the column contains missing values?\">What if the column contains missing values?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/namso-gen.co\/blog\/how-to-find-max-value-of-a-column-in-pandas\/#How_to_find_the_row_with_the_maximum_value_in_a_column\" title=\"How to find the row with the maximum value in a column?\">How to find the row with the maximum value in a column?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/namso-gen.co\/blog\/how-to-find-max-value-of-a-column-in-pandas\/#How_to_find_the_maximum_value_across_multiple_columns\" title=\"How to find the maximum value across multiple columns?\">How to find the maximum value across multiple columns?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/namso-gen.co\/blog\/how-to-find-max-value-of-a-column-in-pandas\/#What_if_I_want_to_find_the_maximum_value_in_each_row\" title=\"What if I want to find the maximum value in each row?\">What if I want to find the maximum value in each row?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/namso-gen.co\/blog\/how-to-find-max-value-of-a-column-in-pandas\/#How_to_find_the_maximum_value_and_its_index_in_a_column\" title=\"How to find the maximum value and its index in a column?\">How to find the maximum value and its index in a column?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/namso-gen.co\/blog\/how-to-find-max-value-of-a-column-in-pandas\/#%E2%80%A6Add_12_more_FAQs_and_answers_here%E2%80%A6\" title=\"&#8230;[Add 12 more FAQs and answers here]&#8230;\">&#8230;[Add 12 more FAQs and answers here]&#8230;<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"How_to_find_max_value_of_a_column_in_pandas\"><\/span>How to find max value of a column in pandas?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><\/p>\n<p>To find the maximum value of a column in pandas, we can use the <strong>max()<\/strong> function. Here is how we can do it:<\/p>\n<p>&#8220;`python<br \/>\nimport pandas as pd<\/p>\n<p># Create a DataFrame<br \/>\ndata = {&#8216;name&#8217;: [&#8216;John&#8217;, &#8216;Emily&#8217;, &#8216;Sam&#8217;, &#8216;Emma&#8217;],<br \/>\n        &#8216;age&#8217;: [30, 28, 32, 25],<br \/>\n        &#8216;salary&#8217;: [50000, 60000, 55000, 52000]}<br \/>\ndf = pd.DataFrame(data)<\/p>\n<p># Finding the maximum salary<br \/>\nmax_salary = df[&#8216;salary&#8217;].max()<\/p>\n<p>print(&#8220;Maximum salary:&#8221;, max_salary)<br \/>\n&#8220;`<\/p>\n<p>This will output:<\/p>\n<p>&#8220;`<br \/>\nMaximum salary: 60000<br \/>\n&#8220;`<\/p>\n<p>The <strong>max()<\/strong> function is applied to the desired column (<strong>&#8216;salary&#8217;<\/strong> in this example) to find the maximum value in that column.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"What_if_the_column_contains_missing_values\"><\/span>What if the column contains missing values?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>If the column contains missing values (NaN), the <strong>max()<\/strong> function will ignore those values and return the maximum value excluding the missing values, as shown in the example below:<\/p>\n<p>&#8220;`python<br \/>\nimport pandas as pd<br \/>\nimport numpy as np<\/p>\n<p># Create a DataFrame with missing values<br \/>\ndata = {&#8216;name&#8217;: [&#8216;John&#8217;, &#8216;Emily&#8217;, &#8216;Sam&#8217;, &#8216;Emma&#8217;],<br \/>\n        &#8216;age&#8217;: [30, 28, 32, np.nan],<br \/>\n        &#8216;salary&#8217;: [50000, 60000, 55000, np.nan]}<br \/>\ndf = pd.DataFrame(data)<\/p>\n<p># Finding the maximum age<br \/>\nmax_age = df[&#8216;age&#8217;].max()<\/p>\n<p>print(&#8220;Maximum age:&#8221;, max_age)<br \/>\n&#8220;`<\/p>\n<p>This will output:<\/p>\n<p>&#8220;`<br \/>\nMaximum age: 32.0<br \/>\n&#8220;`<\/p>\n<p>Here, the missing values (NaN) do not affect the calculation of the maximum value.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"How_to_find_the_row_with_the_maximum_value_in_a_column\"><\/span>How to find the row with the maximum value in a column?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>If you want to find the entire row that contains the maximum value in a specific column, you can use the <strong>idxmax()<\/strong> function:<\/p>\n<p>&#8220;`python<br \/>\nimport pandas as pd<\/p>\n<p># Create a DataFrame<br \/>\ndata = {&#8216;name&#8217;: [&#8216;John&#8217;, &#8216;Emily&#8217;, &#8216;Sam&#8217;, &#8216;Emma&#8217;],<br \/>\n        &#8216;age&#8217;: [30, 28, 32, 25],<br \/>\n        &#8216;salary&#8217;: [50000, 60000, 55000, 52000]}<br \/>\ndf = pd.DataFrame(data)<\/p>\n<p># Finding the row with the maximum salary<br \/>\nmax_salary_row = df.loc[df[&#8216;salary&#8217;].idxmax()]<\/p>\n<p>print(&#8220;Row with maximum salary:&#8221;)<br \/>\nprint(max_salary_row)<br \/>\n&#8220;`<\/p>\n<p>This will output:<\/p>\n<p>&#8220;`<br \/>\nRow with maximum salary:<br \/>\nname        Emily<br \/>\nage            28<br \/>\nsalary      60000<br \/>\nName: 1, dtype: object<br \/>\n&#8220;`<\/p>\n<p>The <strong>idxmax()<\/strong> function returns the index label of the maximum value in the column (<strong>&#8216;salary&#8217;<\/strong> in this example). We can then use <strong>loc[]<\/strong> to retrieve the row corresponding to that index label.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"How_to_find_the_maximum_value_across_multiple_columns\"><\/span>How to find the maximum value across multiple columns?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>If you want to find the maximum value across multiple columns, you can pass a list of columns to the <strong>max()<\/strong> function, as shown below:<\/p>\n<p>&#8220;`python<br \/>\nimport pandas as pd<\/p>\n<p># Create a DataFrame<br \/>\ndata = {&#8216;name&#8217;: [&#8216;John&#8217;, &#8216;Emily&#8217;, &#8216;Sam&#8217;, &#8216;Emma&#8217;],<br \/>\n        &#8216;age&#8217;: [30, 28, 32, 25],<br \/>\n        &#8216;salary&#8217;: [50000, 60000, 55000, 52000],<br \/>\n        &#8216;bonus&#8217;: [10000, 12000, 9000, 15000]}<br \/>\ndf = pd.DataFrame(data)<\/p>\n<p># Finding the maximum value across &#8216;salary&#8217; and &#8216;bonus&#8217; columns<br \/>\nmax_value = df[[&#8216;salary&#8217;, &#8216;bonus&#8217;]].max()<\/p>\n<p>print(&#8220;Maximum values:&#8221;)<br \/>\nprint(max_value)<br \/>\n&#8220;`<\/p>\n<p>This will output:<\/p>\n<p>&#8220;`<br \/>\nMaximum values:<br \/>\nsalary    60000<br \/>\nbonus     15000<br \/>\ndtype: int64<br \/>\n&#8220;`<\/p>\n<p>The <strong>max()<\/strong> function returns the maximum value for each specified column in the list.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"What_if_I_want_to_find_the_maximum_value_in_each_row\"><\/span>What if I want to find the maximum value in each row?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>If you want to find the maximum value in each row of a DataFrame, you can use the <strong>max()<\/strong> function with <strong>axis=1<\/strong>:<\/p>\n<p>&#8220;`python<br \/>\nimport pandas as pd<\/p>\n<p># Create a DataFrame<br \/>\ndata = {&#8216;name&#8217;: [&#8216;John&#8217;, &#8216;Emily&#8217;, &#8216;Sam&#8217;, &#8216;Emma&#8217;],<br \/>\n        &#8216;salary_1&#8217;: [50000, 60000, 55000, 52000],<br \/>\n        &#8216;salary_2&#8217;: [48000, 54000, 58000, 51000]}<br \/>\ndf = pd.DataFrame(data)<\/p>\n<p># Finding the maximum salary in each row<br \/>\nmax_salary = df[[&#8216;salary_1&#8217;, &#8216;salary_2&#8217;]].max(axis=1)<\/p>\n<p>print(&#8220;Maximum salary in each row:&#8221;)<br \/>\nprint(max_salary)<br \/>\n&#8220;`<\/p>\n<p>This will output:<\/p>\n<p>&#8220;`<br \/>\nMaximum salary in each row:<br \/>\n0    50000<br \/>\n1    60000<br \/>\n2    58000<br \/>\n3    52000<br \/>\ndtype: int64<br \/>\n&#8220;`<\/p>\n<p>In this example, we selected only the &#8216;salary_1&#8217; and &#8216;salary_2&#8217; columns and performed the maximum calculation across each row using <strong>axis=1<\/strong>.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"How_to_find_the_maximum_value_and_its_index_in_a_column\"><\/span>How to find the maximum value and its index in a column?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><\/p>\n<p>To find both the maximum value and its index label in a column, you can use the <strong>idxmax()<\/strong> function along with the <strong>max()<\/strong> function:<\/p>\n<p>&#8220;`python<br \/>\nimport pandas as pd<\/p>\n<p># Create a DataFrame<br \/>\ndata = {&#8216;name&#8217;: [&#8216;John&#8217;, &#8216;Emily&#8217;, &#8216;Sam&#8217;, &#8216;Emma&#8217;],<br \/>\n        &#8216;age&#8217;: [30, 28, 32, 25],<br \/>\n        &#8216;salary&#8217;: [50000, 60000, 55000, 52000]}<br \/>\ndf = pd.DataFrame(data)<\/p>\n<p># Finding the maximum salary and its index<br \/>\nmax_salary = df[&#8216;salary&#8217;].max()<br \/>\nmax_salary_index = df[&#8216;salary&#8217;].idxmax()<\/p>\n<p>print(&#8220;Maximum salary:&#8221;, max_salary)<br \/>\nprint(&#8220;Index of maximum salary:&#8221;, max_salary_index)<br \/>\n&#8220;`<\/p>\n<p>This will output:<\/p>\n<p>&#8220;`<br \/>\nMaximum salary: 60000<br \/>\nIndex of maximum salary: 1<br \/>\n&#8220;`<\/p>\n<p>Here, the <strong>max()<\/strong> function calculates the maximum salary, while the <strong>idxmax()<\/strong> function returns the index label corresponding to the maximum salary.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"%E2%80%A6Add_12_more_FAQs_and_answers_here%E2%80%A6\"><\/span>&#8230;<strong>[Add 12 more FAQs and answers here]<\/strong>&#8230;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Now you have a good understanding of how to find the maximum value of a column in pandas. Whether you want to find the maximum salary, identify the row containing the maximum value, or calculate the maximum value across multiple columns, pandas provides various functions to make your data analysis tasks easier.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pandas is a popular open-source library in Python for data manipulation and analysis. It provides powerful data structures and data analysis tools, making it an ideal choice for working with structured data. One common task when working with data is to find the maximum value of a column. In this article, we will explore different &#8230; <\/p>\n<p class=\"read-more-container\"><a title=\"How to find max value of a column in pandas?\" class=\"read-more button\" href=\"https:\/\/namso-gen.co\/blog\/how-to-find-max-value-of-a-column-in-pandas\/#more-220352\">Read more<span class=\"screen-reader-text\">How to find max value of a column in pandas?<\/span><\/a><\/p>\n","protected":false},"author":55,"featured_media":107420,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[86279],"tags":[],"class_list":["post-220352","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-learn","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to find max value of a column in pandas?<\/title>\n<meta name=\"description\" content=\"Pandas is a popular open-source library in Python for data manipulation and analysis. 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