{"id":5558,"date":"2023-10-27T09:30:52","date_gmt":"2023-10-27T04:00:52","guid":{"rendered":"https:\/\/python-programs.com\/?p=5558"},"modified":"2023-11-10T12:02:18","modified_gmt":"2023-11-10T06:32:18","slug":"python-create-boolean-numpy-array-with-all-true-or-all-false-or-random-boolean-values","status":"publish","type":"post","link":"https:\/\/python-programs.com\/python-create-boolean-numpy-array-with-all-true-or-all-false-or-random-boolean-values\/","title":{"rendered":"Python : Create boolean Numpy array with all True or all False or random boolean values"},"content":{"rendered":"<h2>How to create boolean Numpy array with all True or all False or random boolean values in Python ?<\/h2>\n<p>This article is about creating boolean Numpy array with all True or all False or random boolean values. Here we will discuss various ways of creating boolean Numpy array. So let&#8217;s start the topic.<\/p>\n<h3>Approach-1 : Creating 1-D boolean Numpy array with random boolean values<\/h3>\n<p>Python&#8217;s Numpy module provide <code>random.choice( )<\/code> function which will create a boolean Numpy array with some random values.<\/p>\n<pre>Syntax : numpy.random.choice(a, size=None, replace=True, p=None)<\/pre>\n<p>where,<\/p>\n<ul>\n<li><strong>a:<\/strong> A Numpy array from which random values will be generated<\/li>\n<li><strong>size:<\/strong> Shape of array that is to b generated<\/li>\n<li><strong>replace:<\/strong> Here the sample is with or without replacement<\/li>\n<\/ul>\n<p>To create a 1-D Numpy array with random true and false values, we will initially take a bool array and pass the array to <code>numpy.random.choice()<\/code> with some size which will generate a array with random true and false values.<\/p>\n<p>So, let&#8217;s see how it actually works.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#Program :\r\n\r\nimport numpy as sc\r\n\r\n# bool Array for random sampling with only 2 values i.e. True anf False\r\nsample_Barr = [True, False]\r\n\r\n# To create a numpy array with random true and false with size 5\r\nbool_Narr = sc.random.choice(sample_Barr, size=5)\r\n\r\nprint('Numpy Array with random values: ')\r\nprint(bool_Narr)<\/pre>\n<pre>Output :\r\nNumpy Array with random values:\r\n[False False False\u00a0 True False]<\/pre>\n<h3>Approach-2 : Creating 2-D boolean Numpy array with random values :<\/h3>\n<p>For implementing this we can pass the size of 2D array as tuple in <code>random.choice( )<\/code> function.<\/p>\n<p>So, let&#8217;s see how it actually works.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#Program :\r\n\r\nimport numpy as sc\r\n\r\n# bool Array for random sampling with only 2 values i.e. True anf False\r\nsample_Barr = [True, False]\r\n\r\n# To create a 2D numpy array with random true and false values\r\nbool_Narr = sc.random.choice(sample_Barr, size=(3,3))\r\n\r\nprint('2D Numpy Array with random values: ')\r\nprint(bool_Narr)<\/pre>\n<pre>Output :\r\n2D Numpy Array with random values:\r\n[[False False False]\r\n[False\u00a0 True\u00a0 True]\r\n[ True False\u00a0 True]]<\/pre>\n<h3>Approach-3 : Create a 1-D Bool array with all True values :<\/h3>\n<p>We can use <code>numpy.ones( )<\/code> function to form boolean Numpy array with all <em>True<\/em> values. <code>nump.ones( )<\/code> creates a numpy array with initializing value with 1, later <code>dtype<\/code> argument is passed as bool which converts all 1 to True.<\/p>\n<p>So, let&#8217;s see how it actually works.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">#Program :\r\n\r\nimport numpy as sc\r\n\r\n# To create a 1D numpy array with all true values\r\nbool_Narr = sc.ones(5, dtype=bool)\r\n\r\nprint('1D Numpy Array with all true values: ')\r\nprint(bool_Narr)\r\n\r\n<\/pre>\n<pre>Output :\r\n1D Numpy Array with all true values:\r\n[ True\u00a0 True\u00a0 True\u00a0 True\u00a0 True]<\/pre>\n<h3><strong>Approach-4 : Create a 1-D Bool array with all False values :<\/strong><\/h3>\n<p>We can use <code>numpy.zeros( )<\/code> function to form boolean Numpy array with all True values. <code>nump.zeros( )<\/code> creates a numpy array with initializing value with 0, later <code>dtype<\/code> argument is passed as bool which converts all 0 to False.<\/p>\n<p>So, let&#8217;s see how it actually works.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Program :\r\n\r\nimport numpy as sc\r\n\r\n# To create a 1D numpy array with all false values\r\nbool_Narr = sc.zeros(5, dtype=bool)\r\n\r\nprint('1D Numpy Array with all false values: ')\r\nprint(bool_Narr)<\/pre>\n<pre><u>Output :<\/u>\r\n1D Numpy Array with all false values:\r\n[False False False False False]<\/pre>\n<h3>Approach-5 :\u00a0 Creating 2-D Numpy array with all True values :<\/h3>\n<p>Here also <code>numpy.ones( )<\/code> including passing the <code>dtype<\/code> argument as bool can be used to generate all values as true in a 2D\u00a0 numpy array.<\/p>\n<p>So, let&#8217;s see how it actually works.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Program :\r\n\r\nimport numpy as sc\r\n\r\n# To create a 2D numpy array with all true values\r\nbool_Narr = sc.ones((3,4), dtype=bool)\r\n\r\nprint('2D Numpy Array with all true values: ')\r\nprint(bool_Narr)<\/pre>\n<pre>Output :\r\n2D Numpy Array with all true values:\r\n[[ True\u00a0 True\u00a0 True\u00a0 True]\r\n[ True\u00a0 True\u00a0 True\u00a0 True]\r\n[ True\u00a0 True\u00a0 True\u00a0 True]]<\/pre>\n<h3>Approach-6 :\u00a0 <strong>Creating 2D Numpy array with all False values :<\/strong><\/h3>\n<p>Here also <code>numpy.zeros( )<\/code> including passing the <code>dtype<\/code> argument as bool can be used to generate all values as false in a 2D\u00a0 numpy array.<\/p>\n<p>So, let&#8217;s see how it actually works.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#Program :\r\n\r\nimport numpy as sc\r\n\r\n# To create a 2D numpy array with all true values\r\nbool_Narr = sc.zeros((3,4), dtype=bool)\r\n\r\nprint('2D Numpy Array with all true values: ')\r\nprint(bool_Narr)<\/pre>\n<pre>Output :\r\n2D Numpy Array with all false values:\r\n[[False False False False]\r\n[False False False False]\r\n[False False False False]]<\/pre>\n<h3>Converting a List to bool Numpy array :<\/h3>\n<h3>Approach-7 : Convert a list of integers to boolean numpy array :<\/h3>\n<p>Here we will pass <code>dtype<\/code> arguement as bool in <code>numpy.array( )<\/code> function where each and every elements in the list will be converted as true\/ false values, i.e. all 0s will be converted to <em>false <\/em>and any integer other than 0 to <em>true.<\/em><\/p>\n<p>So, let&#8217;s see how it actually works.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#Program :\r\n\r\nimport numpy as sc\r\n\r\n# Integers list\r\nlist_ele = [8,55,0,24,100,0,0,-1]\r\n\r\n# To convert a list of integers to boolean array\r\nbool_Narr = sc.array(list_ele, dtype=bool)\r\n\r\nprint('Boolean Numpy Array: ')\r\nprint(bool_Narr)<\/pre>\n<pre>Output :\r\nNumpy Array:\r\n[ True\u00a0 True  False\u00a0 True\u00a0 True  False False\u00a0 True]<\/pre>\n<h3>Approach-8 : Convert a heterogeneous list to boolean numpy array :<\/h3>\n<p>In python, list can contain elements with different data types i.e. heterogeneous in nature. But Numpy arrays are homogeneous in nature i.e. elements with same data type, so it will convert all 0s to <em>false <\/em>and any other values which can be of any data type to <em>true.<\/em><\/p>\n<p>So, let&#8217;s see how it actually works.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#Program :\r\n\r\nimport numpy as sc\r\n\r\n# Integers list\r\nlist_ele = [8,55,0,24.56,100,0,-85.6,\"Satya\"]\r\n\r\n# To convert a list of integers to boolean array\r\nbool_Narr = sc.array(list_ele, dtype=bool)\r\n\r\nprint('Boolean Numpy Array: ')\r\nprint(bool_Narr)<\/pre>\n<pre>Output :\r\nBoolean Numpy Array:\r\n[ True\u00a0 True  False\u00a0 True\u00a0 True False\u00a0 True\u00a0 True]<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>How to create boolean Numpy array with all True or all False or random boolean values in Python ? This article is about creating boolean Numpy array with all True or all False or random boolean values. Here we will discuss various ways of creating boolean Numpy array. So let&#8217;s start the topic. Approach-1 : &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/python-create-boolean-numpy-array-with-all-true-or-all-false-or-random-boolean-values\/\"> <span class=\"screen-reader-text\">Python : Create boolean Numpy array with all True or all False or random boolean values<\/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>Python : Create boolean Numpy array with all True or all False or random boolean values - 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-create-boolean-numpy-array-with-all-true-or-all-false-or-random-boolean-values\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python : Create boolean Numpy array with all True or all False or random boolean values - Python Programs\" \/>\n<meta property=\"og:description\" content=\"How to create boolean Numpy array with all True or all False or random boolean values in Python ? 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