{"id":27535,"date":"2022-08-16T00:03:09","date_gmt":"2022-08-15T18:33:09","guid":{"rendered":"https:\/\/python-programs.com\/?p=27535"},"modified":"2022-08-16T00:03:09","modified_gmt":"2022-08-15T18:33:09","slug":"python-numpy-matrix-put-function","status":"publish","type":"post","link":"https:\/\/python-programs.com\/python-numpy-matrix-put-function\/","title":{"rendered":"Python Numpy matrix.put() Function"},"content":{"rendered":"<p><strong>NumPy Library\u00a0<\/strong><\/p>\n<p>NumPy is a library in python that is created to work efficiently with arrays in python. It is fast, easy to learn, and provides efficient storage. It also provides a better way of handling data for the process. We can create an n-dimensional array in NumPy. To use NumPy simply have to import it into our program and then we can easily use the functionality of NumPy in our program.<\/p>\n<p>NumPy is a Python library that is frequently used for scientific and statistical analysis. NumPy arrays are grids of the same datatype\u2019s values.<\/p>\n<p><strong>Numpy matrix.put() Function:<\/strong><\/p>\n<p>Using the matrix.put() method of the Numpy module, we can put(insert) the value by passing index and value in a given particular matrix.<\/p>\n<p><strong>Syntax:<\/strong><\/p>\n<pre> matrix.put(index, value)<\/pre>\n<p><strong>Return Value:<\/strong><\/p>\n<p>A new matrix (after putting values ) is returned by the put() function.<\/p>\n<h2>Numpy matrix.put() Function in Python<\/h2>\n<p><strong>For 2-Dimensional (2D) Matrix (Inserting an element at Multiple Indices)<\/strong><\/p>\n<p><strong>Approach:<\/strong><\/p>\n<ul>\n<li>Import numpy module using the import keyword<\/li>\n<li>Create a matrix(2-Dimensional) using the matrix() function of numpy module by passing some random 2D matrix as an argument to it and store it in a variable<\/li>\n<li>Pass the index\/indices(as a tuple) and value as arguments to the put() function and apply it to the given matrix<\/li>\n<li>Here we passed multiple indices and the value gets inserted at corresponding indices of the tuple.<\/li>\n<li>Store it in another variable<\/li>\n<li>Print the given matrix after inserting an element at the multiple indices.<\/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 numpy module using the import keyword\r\nimport numpy as np\r\n            \r\n# Create a matrix(2-Dimensional) using the matrix() function of numpy module by passing \r\n# some random 2D matrix as arguments to it and store it in a variable\r\ngvn_matrx = np.matrix('[2, 1; 6, 3]')\r\n            \r\n# Pass the index\/indices(as a tuple) and value as an argument to the put() function and apply it to the given matrix\r\n# Here we passed multiple indices and the value gets inserted at corresponding indices of the tuple.\r\n# Store it in another variable\r\ngvn_matrx.put((0, 2), 50)\r\n# Print the given matrix after inserting an element at the multiple indices\r\nprint(\"The given matrix after inserting an element at the multiple indices:\")\r\nprint(gvn_matrx)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>The given matrix after inserting an element at the multiple indices:\r\n[[50 1]\r\n[50 3]]<\/pre>\n<p><strong>Explanation:<\/strong><\/p>\n<pre>Here it inserts 50 at the indices 0 and 2.<\/pre>\n<p><strong>NOTE:<\/strong><\/p>\n<pre>The matrix indices starts from '0'<\/pre>\n<p><strong>For 3-Dimensional (3D) Matrix (Inserting an element at Single Index)<\/strong><\/p>\n<p><strong>Approach:<\/strong><\/p>\n<ul>\n<li>Import numpy module using the import keyword<\/li>\n<li>Create a matrix(3-Dimensional) using the matrix() function of numpy module by passing some random 3D matrix as an argument to it and store it in a variable<\/li>\n<li>Pass the index and value as arguments to the put() function and apply it to the given matrix<\/li>\n<li>Here we passed a single index and the value gets inserted at that corresponding index.<\/li>\n<li>Store it in another variable<\/li>\n<li>Print the given matrix after inserting an element at the given index.<\/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 numpy module using the import keyword\r\nimport numpy as np\r\n            \r\n# Create a matrix(3-Dimensional) using the matrix() function of numpy module by passing \r\n# some random 3D matrix as an argument to it and store it in a variable\r\ngvn_matrx = np.matrix('[2, 4, 1; 8, 7, 3; 10, 9, 5]')\r\n            \r\n# Pass the index and value as arguments to the put() function and apply it to the given matrix\r\n# Here we passed single index and the value gets inserted at that corresponding index.\r\n# Store it in another variable\r\ngvn_matrx.put((4), 100)\r\n# Print the given matrix after inserting an element at the given index.\r\nprint(\"The given matrix after inserting an element {100} at the given index{4}:\")\r\nprint(gvn_matrx)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>The given matrix after inserting an element {100} at the given index{4}:\r\n[[ 2 4 1]\r\n [ 8 100 3]\r\n [ 10 9 5]]<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>NumPy Library\u00a0 NumPy is a library in python that is created to work efficiently with arrays in python. It is fast, easy to learn, and provides efficient storage. It also provides a better way of handling data for the process. We can create an n-dimensional array in NumPy. To use NumPy simply have to import &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/python-numpy-matrix-put-function\/\"> <span class=\"screen-reader-text\">Python Numpy matrix.put() Function<\/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 Numpy matrix.put() Function - 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-numpy-matrix-put-function\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Numpy matrix.put() Function - Python Programs\" \/>\n<meta property=\"og:description\" content=\"NumPy Library\u00a0 NumPy is a library in python that is created to work efficiently with arrays in python. 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