{"id":25461,"date":"2021-11-16T08:39:29","date_gmt":"2021-11-16T03:09:29","guid":{"rendered":"https:\/\/python-programs.com\/?p=25461"},"modified":"2021-11-16T08:39:29","modified_gmt":"2021-11-16T03:09:29","slug":"python-statistics-mode-method-with-examples","status":"publish","type":"post","link":"https:\/\/python-programs.com\/python-statistics-mode-method-with-examples\/","title":{"rendered":"Python statistics.mode() Method with Examples"},"content":{"rendered":"<p><strong>statistics.mode() Method in Python:<\/strong><\/p>\n<p>Statistics.mode() computes the mode (central tendency) of a numeric or nominal data set.<\/p>\n<p>The mode of a set of data values is the most frequently occurring value. It is the most likely value at which the data will be sampled. A mode of a continuous probability distribution is frequently defined as any value x at which its probability density function has a local maximum value, implying that any peak is a mode.<\/p>\n<p><strong>Syntax:<\/strong><\/p>\n<pre>statistics.mode(data)<\/pre>\n<p><strong>Parameters<\/strong><\/p>\n<p><strong>data:<\/strong> This is Required. It is the data values that will be used (it can be any sequence, list, or iterator).<\/p>\n<p><strong>Note:<\/strong> It is to be noted that if the data is empty, it returns a StatisticsError.<\/p>\n<p><strong>Return Value:<\/strong><\/p>\n<p>Returns a float or nominal value that represents the given data&#8217;s mode.<\/p>\n<p><strong>Examples:<\/strong><\/p>\n<p><strong>Example1:<\/strong><\/p>\n<p><strong>Input:<\/strong><\/p>\n<pre>Given list = ['hello', 'this', 'is', 'btechgeeks', 'hello']<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre id=\"codeOutputPre\">The mode of the given list items ['hello', 'this', 'is', 'btechgeeks', 'hello'] =  hello<\/pre>\n<p><strong>Explanation:<\/strong><\/p>\n<pre>Here 'hello' occurs most frequently. Hence the mode is 'hello'.<\/pre>\n<p><strong>Example2:<\/strong><\/p>\n<p><strong>Input:<\/strong><\/p>\n<pre>Given list = [3, 4, 2, 5, 6, 3, 3, 1, 3]<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre id=\"codeOutputPre\">The mode of the given list items [3, 4, 2, 5, 6, 3, 3, 1, 3] = 3<\/pre>\n<p><span style=\"font-size: 1.7em; font-weight: bold;\">statistics.mode() Method with Examples in Python<\/span><\/p>\n<ul>\n<li><a href=\"#Using_Built-in_Functions_(Static_Input)\">Using Built-in Functions (Static Input)<\/a><\/li>\n<li><a href=\"#Using_Built-in_Functions_(User_Input)\">Using Built-in Functions (User Input)<\/a><\/li>\n<\/ul>\n<h3 id=\"Using_Built-in_Functions_(Static_Input)\">Method #1: Using Built-in Functions (Static Input)<\/h3>\n<p><strong>Approach:<\/strong><\/p>\n<ul>\n<li>Import statistics module using the import keyword.<\/li>\n<li>Give the list as static input and store it in a variable.<\/li>\n<li>Pass the given list as an argument to the statistics.mode() method that computes the mode (which occurs most frequently) of the given list items.<\/li>\n<li>Store it in another variable.<\/li>\n<li>Print the mode of the given list items.<\/li>\n<li>The Exit of the Program.<\/li>\n<\/ul>\n<p><strong>Below is the implementation:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Import statistics module using the import keyword.\r\nimport statistics\r\n# Give the list as static input and store it in a variable.\r\ngvn_lst = ['hello', 'this', 'is', 'btechgeeks', 'hello']\r\n# Pass the given list as an argument to the statistics.mode() method that\r\n# computes the mode (which occurs most frequently) of the given list items.\r\n# Store it in another variable.\r\nrslt = statistics.mode(gvn_lst)\r\n# Print the mode of the given list items.\r\nprint(\"The mode of the given list items\", gvn_lst, \"= \", rslt)\r\n<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre id=\"codeOutputPre\">The mode of the given list items ['hello', 'this', 'is', 'btechgeeks', 'hello'] =  hello<\/pre>\n<h3 id=\"Using_Built-in_Functions_(User_Input)\">Method #2: Using Built-in Functions (User Input)<\/h3>\n<p><strong>Approach:<\/strong><\/p>\n<ul>\n<li>Import statistics module using the import keyword.<\/li>\n<li>Give the list as user input using list(),map(),input(),and split() functions.<\/li>\n<li>Store it in another variable.<\/li>\n<li>Pass the given list as an argument to the statistics.mode() method that computes the mode (which occurs most frequently) of the given list items.<\/li>\n<li>Store it in another variable.<\/li>\n<li>Print the mode of the given list items.<\/li>\n<li>The Exit of the Program.<\/li>\n<\/ul>\n<p><strong>Below is the implementation:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Import statistics module using the import keyword.\r\nimport statistics\r\n# Give the list as user input using list(),map(),input(),and split() functions.\r\n# Store it in a variable.\r\ngvn_lst = list(map(int, input(\r\n    'Enter some random List Elements separated by spaces = ').split()))\r\n\r\n# Pass the given list as an argument to the statistics.mode() method that\r\n# computes the mode (which occurs most frequently) of the given list items.\r\n# Store it in another variable.\r\nrslt = statistics.mode(gvn_lst)\r\n# Print the mode of the given list items.\r\nprint(\"The mode of the given list items\", gvn_lst, \"= \", rslt)\r\n<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>Enter some random List Elements separated by spaces = 3 4 2 5 6 3 3 1 3\r\nThe mode of the given list items [3, 4, 2, 5, 6, 3, 3, 1, 3] = 3<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>statistics.mode() Method in Python: Statistics.mode() computes the mode (central tendency) of a numeric or nominal data set. The mode of a set of data values is the most frequently occurring value. It is the most likely value at which the data will be sampled. A mode of a continuous probability distribution is frequently defined as &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/python-statistics-mode-method-with-examples\/\"> <span class=\"screen-reader-text\">Python statistics.mode() Method with Examples<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":7,"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>Python statistics.mode() Method with Examples - 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\/python-statistics-mode-method-with-examples\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python statistics.mode() Method with Examples - Python Programs\" \/>\n<meta property=\"og:description\" content=\"statistics.mode() Method in Python: Statistics.mode() computes the mode (central tendency) of a numeric or nominal data set. 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