{"id":123245,"date":"2023-11-02T16:57:49","date_gmt":"2023-11-02T11:27:49","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=123245"},"modified":"2024-02-28T11:44:16","modified_gmt":"2024-02-28T06:14:16","slug":"python-program-to-use-filter-function","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/python-program-to-use-filter-function\/","title":{"rendered":"Python Program to Use Filter() Function"},"content":{"rendered":"<p>In this article, we will explore a Python program that utilizes the filter function to selectively include elements from a list based on specific criteria defined by user-defined functions. The program focuses on filtering elements from a list based on whether they are prime numbers. This example demonstrates how the filter function can be employed to create a new list containing only elements that meet a specific condition.<\/p>\n<h2>Prerequisites<\/h2>\n<ul>\n<li>Familiarity with Python functions.<\/li>\n<li>Understanding of conditional statements.<\/li>\n<li>Knowledge of the filter function in Python.<\/li>\n<\/ul>\n<h3>Topic Explanation<\/h3>\n<p>This program introduces two essential functions: &#8216;even_odd(n)&#8217; for verifying number parity and &#8216;prime_no(n)&#8217; for identifying prime numbers. It begins by creating a list named &#8216;mylist,&#8217; populated with numerical values. The program then employs the &#8216;filter&#8217; function in conjunction with &#8216;prime_no&#8217; to generate a new list, &#8216;mylist1,&#8217; comprising solely of prime numbers extracted from the initial list.<\/p>\n<p>By combining these functions, the program provides a clear illustration of how to employ Python&#8217;s &#8216;filter&#8217; function effectively for extracting specific elements from a list. Readers can grasp the practical application of &#8216;filter&#8217; in isolating prime numbers, further enhancing their understanding of Python&#8217;s functional programming capabilities and list manipulation techniques.<\/p>\n<h4>Program<\/h4>\n<p><strong>Code:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Below Function check if a n is even or odd\r\ndef checkEvenOdd(n):\r\n    return n % 2 == 0\r\n\r\n#Below Function check if a n is prime or not\r\ndef prime_no(n):\r\n    i = 2\r\n    f = 0\r\n    while i &lt; n:\r\n        if n % i == 0:\r\n            f = 1\r\n        i += 1\r\n    return f == 0\r\n\r\n# List of numbers\r\nmylist = [10, 7, 8, 12, 9, 33, 45, 13, 15, 17]\r\n\r\n# Filtering prime numbers from the list\r\nmylist1 = list(filter(prime_no, mylist))\r\n\r\n# Printing the list of prime numbers\r\nprint(mylist1)<\/pre>\n<div class=\"df-code-out\"><strong>Output:<\/strong><br \/>\n[7, 13, 17]<\/div>\n<h4>Code Explanation:<\/h4>\n<ul>\n<li>Defines a function even_odd(n) that returns True if n is even, False if n is odd<\/li>\n<li>Defines a function prime_no(n) that returns True if n is prime, False otherwise<\/li>\n<li>Works by checking if n is divisible by any number between 2 and n-1<\/li>\n<li>Creates a list mylist with elements 10, 7, 8, 12, 9, 33, 45, 13, 15, 17<\/li>\n<li>Passes the prime_no function and mylist to filter()<\/li>\n<li>filter() will apply the prime_no function to each element in mylist and filter values based on true\/false returned<\/li>\n<li>Only elements for which prime_no() returns True will be present in the filtered list<\/li>\n<li>Converts the filter object returned to list using list() and stores in mylist1<\/li>\n<li>So mylist1 will contain only prime numbers from the given list<\/li>\n<li>Prints mylist1 which contains [7, 13, 17]<\/li>\n<\/ul>\n<h3>Summary<\/h3>\n<p>In summary, this Python program offers a practical example of using the filter function to selectively include elements in a new list based on a specific condition defined by user-defined functions. It demonstrates how this function can be a powerful tool for data manipulation in Python, allowing developers to create refined lists based on specific criteria. Understanding the filter function expands one&#8217;s ability to work with data structures and apply custom conditions for filtering elements.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this article, we will explore a Python program that utilizes the filter function to selectively include elements from a list based on specific criteria defined by user-defined functions. The program focuses on filtering&#46;&#46;&#46;<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[28666,10333,28626,28665],"class_list":["post-123245","post","type-post","status-publish","format-standard","hentry","category-python","tag-filter-function-in-python","tag-python","tag-python-practical","tag-python-program-to-use-filter-function"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python Program to Use Filter() Function - DataFlair<\/title>\n<meta name=\"description\" content=\"This Python program using the filter function to selectively include elements in a new list based on a specific condition defined by user-defined functions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/python-program-to-use-filter-function\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Program to Use Filter() Function - 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