{"id":8700,"date":"2021-06-12T10:56:15","date_gmt":"2021-06-12T05:26:15","guid":{"rendered":"https:\/\/python-programs.com\/?p=8700"},"modified":"2021-11-22T18:40:39","modified_gmt":"2021-11-22T13:10:39","slug":"create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python","status":"publish","type":"post","link":"https:\/\/python-programs.com\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/","title":{"rendered":"Create Numpy Array of different shapes &#038; initialize with identical values using numpy.full() in Python"},"content":{"rendered":"<h2>Creating Numpy Array of different shapes &amp; initialize with identical values using numpy.full()<\/h2>\n<p>In this article we will see how we can create a numpy array of different shapes but initialized with identical values. So, let&#8217;s start the explore the concept to understand it well.<\/p>\n<h3>numpy.full() :<\/h3>\n<p>Numpy module provides a function <code>numpy.full()<\/code> to create a numpy array of given shape and initialized with a given value.<\/p>\n<div class=\"enlighter-default enlighter-v-standard enlighter-t-classic enlighter-hover \">\n<div class=\"enlighter\">\n<div class=\"\">\n<pre><span class=\"enlighter-text\">Syntax : numpy.<\/span><span class=\"enlighter-m1\">full<\/span><span class=\"enlighter-g1\">(<\/span><span class=\"enlighter-text\">shape, given_value, dtype=<\/span><span class=\"enlighter-e1\">None<\/span><span class=\"enlighter-text\">, order=<\/span><span class=\"enlighter-s0\">'C'<\/span><span class=\"enlighter-g1\">)<\/span><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<p>Where,<\/p>\n<ul>\n<li><strong>shape :<\/strong> Represents shape of the array.<\/li>\n<li><strong>given_value :<\/strong> Represents initialization value.<\/li>\n<li><strong>dtype :<\/strong> Represents the datatype of elements(Optional).<\/li>\n<\/ul>\n<p>But to use Numpy we have to include following module i.e.<\/p>\n<div class=\"enlighter-default enlighter-v-standard enlighter-t-classic enlighter-hover \">\n<div class=\"enlighter\">\n<div class=\"\">\n<pre><span class=\"enlighter-k0\">import<\/span><span class=\"enlighter-text\"> numpy <\/span><span class=\"enlighter-k0\">as<\/span><span class=\"enlighter-text\"> np<\/span><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<div>Let&#8217;s see the below example to understand the concept.<\/div>\n<div>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><a href=\"#Create_a_1D_Numpy_Array_of_length_8_and_all_elements_initialized_with_value_2\">Create a 1D Numpy Array of length 8 and all elements initialized with value 2<\/a><\/li>\n<li><a href=\"#Create_a_2D_Numpy_Array_of_3_rows_|_4_columns_and_all_elements_initialized_with_value_5\">Create a 2D Numpy Array of 3 rows | 4 columns and all elements initialized with value 5<\/a><\/li>\n<li><a href=\"#Create_a_3D_Numpy_Array_of_shape_(3,3,4)_&amp;_all_elements_initialized_with_value_1\">Create a 3D Numpy Array of shape (3,3,4) &amp; all elements initialized with value 1<\/a><\/li>\n<li><a href=\"#Create_initialized_Numpy_array_of_specified_data_type\">Create initialized Numpy array of specified data type<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div>\n<h3><a id=\"Create_a_1D_Numpy_Array_of_length_8_and_all_elements_initialized_with_value_2\"><\/a>Example-1 : Create a 1D Numpy Array of length 8 and all elements initialized with value 2<\/h3>\n<p>Here array length is 8 and array elements to be initialized with 2.<\/p>\n<p>Let&#8217;s see the below the program.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n# 1D Numpy Array created of length 8 &amp; all elements initialized with value 2\r\nsample_arr = np.full(8,2)\r\nprint(sample_arr)<\/pre>\n<pre>Output :\r\n[2 2 2 2 2 2 2 2]<\/pre>\n<h3><a id=\"Create_a_2D_Numpy_Array_of_3_rows_|_4_columns_and_all_elements_initialized_with_value_5\"><\/a>Example-2 : Create a 2D Numpy Array of 3 rows | 4 columns and all elements initialized with value 5<\/h3>\n<p>Here 2D array of row 3 and column 4 and array elements to be initialized with 5.<\/p>\n<p>Let&#8217;s see the below the program.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n#Create a 2D Numpy Array of 3 rows &amp; 4 columns. All intialized with value 5\r\nsample_arr = np.full((3,4), 5)\r\nprint(sample_arr)<\/pre>\n<pre>Output :\r\n[[5 5 5 5]\r\n[5 5 5 5]\r\n[5 5 5 5]]<\/pre>\n<div>\n<h3><a id=\"Create_a_3D_Numpy_Array_of_shape_(3,3,4)_&amp;_all_elements_initialized_with_value_1\"><\/a>Example-3 : Create a 3D Numpy Array of shape (3,3,4) &amp; all elements initialized with value 1<\/h3>\n<p>Here initialized value is 1.<\/p>\n<p>Let&#8217;s see the below the program.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n# Create a 3D Numpy array &amp; all elements initialized with value 1\r\nsample_arr = np.full((3,3,4), 1)\r\nprint(sample_arr)<\/pre>\n<pre>Output :\r\n\r\n[[[1 1 1 1]\r\n[1 1 1 1]\r\n[1 1 1 1]]\r\n\r\n[[1 1 1 1]\r\n[1 1 1 1]\r\n[1 1 1 1]]\r\n\r\n[[1 1 1 1]\r\n[1 1 1 1]\r\n[1 1 1 1]]]<\/pre>\n<\/div>\n<div>\n<h3><a id=\"Create_initialized_Numpy_array_of_specified_data_type\"><\/a>Example-4 : Create initialized Numpy array of specified data type<\/h3>\n<p>Here, array length is 8 and value is 4 and data type is float.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n# 1D Numpy array craeted &amp; all float elements initialized with value 4\r\nsample_arr = np.full(8, 4, dtype=float)\r\nprint(sample_arr)<\/pre>\n<pre>Output :\r\n[4. 4. 4. 4. 4. 4. 4. 4.]<\/pre>\n<\/div>\n<div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Creating Numpy Array of different shapes &amp; initialize with identical values using numpy.full() In this article we will see how we can create a numpy array of different shapes but initialized with identical values. So, let&#8217;s start the explore the concept to understand it well. numpy.full() : Numpy module provides a function numpy.full() to create &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/\"> <span class=\"screen-reader-text\">Create Numpy Array of different shapes &#038; initialize with identical values using numpy.full() in Python<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":9,"featured_media":8702,"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":[5,6],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Create Numpy Array of different shapes &amp; initialize with identical values using numpy.full() in Python - 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\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Create Numpy Array of different shapes &amp; initialize with identical values using numpy.full() in Python - Python Programs\" \/>\n<meta property=\"og:description\" content=\"Creating Numpy Array of different shapes &amp; initialize with identical values using numpy.full() In this article we will see how we can create a numpy array of different shapes but initialized with identical values. 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So, let&#8217;s start the explore the concept to understand it well. numpy.full() : Numpy module provides a function numpy.full() to create &hellip; Create Numpy Array of different shapes &#038; initialize with identical values using numpy.full() in Python Read More &raquo;","og_url":"https:\/\/python-programs.com\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/","og_site_name":"Python Programs","article_publisher":"https:\/\/www.facebook.com\/btechgeeks","article_published_time":"2021-06-12T05:26:15+00:00","article_modified_time":"2021-11-22T13:10:39+00:00","og_image":[{"width":1280,"height":720,"url":"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/06\/Create-Numpy-Array-of-different-shapes-amp-initialize-with-identical-values-using-numpy.full-in-Python.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_creator":"@btech_geeks","twitter_site":"@btech_geeks","twitter_misc":{"Written by":"Satyabrata Jena","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Organization","@id":"https:\/\/python-programs.com\/#organization","name":"BTech Geeks","url":"https:\/\/python-programs.com\/","sameAs":["https:\/\/www.instagram.com\/btechgeeks\/","https:\/\/www.linkedin.com\/in\/btechgeeks","https:\/\/in.pinterest.com\/btechgeek\/","https:\/\/www.youtube.com\/channel\/UC9MlCqdJ3lKqz2p5114SDIg","https:\/\/www.facebook.com\/btechgeeks","https:\/\/twitter.com\/btech_geeks"],"logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/python-programs.com\/#\/schema\/logo\/image\/","url":"https:\/\/python-programs.com\/wp-content\/uploads\/2020\/11\/BTechGeeks.png","contentUrl":"https:\/\/python-programs.com\/wp-content\/uploads\/2020\/11\/BTechGeeks.png","width":350,"height":70,"caption":"BTech Geeks"},"image":{"@id":"https:\/\/python-programs.com\/#\/schema\/logo\/image\/"}},{"@type":"WebSite","@id":"https:\/\/python-programs.com\/#website","url":"https:\/\/python-programs.com\/","name":"Python Programs","description":"Python Programs with Examples, How To Guides on Python","publisher":{"@id":"https:\/\/python-programs.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/python-programs.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/python-programs.com\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/#primaryimage","url":"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/06\/Create-Numpy-Array-of-different-shapes-amp-initialize-with-identical-values-using-numpy.full-in-Python.png","contentUrl":"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/06\/Create-Numpy-Array-of-different-shapes-amp-initialize-with-identical-values-using-numpy.full-in-Python.png","width":1280,"height":720},{"@type":"WebPage","@id":"https:\/\/python-programs.com\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/#webpage","url":"https:\/\/python-programs.com\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/","name":"Create Numpy Array of different shapes & initialize with identical values using numpy.full() in Python - Python Programs","isPartOf":{"@id":"https:\/\/python-programs.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/python-programs.com\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/#primaryimage"},"datePublished":"2021-06-12T05:26:15+00:00","dateModified":"2021-11-22T13:10:39+00:00","breadcrumb":{"@id":"https:\/\/python-programs.com\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/python-programs.com\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/python-programs.com\/create-numpy-array-of-different-shapes-initialize-with-identical-values-using-numpy-full-in-python\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/python-programs.com\/"},{"@type":"ListItem","position":2,"name":"Create Numpy Array of different shapes &#038; 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