{"id":27514,"date":"2022-05-06T09:13:36","date_gmt":"2022-05-06T03:43:36","guid":{"rendered":"https:\/\/python-programs.com\/?p=27514"},"modified":"2022-05-06T09:13:36","modified_gmt":"2022-05-06T03:43:36","slug":"python-numpy-matrix-tobytes-function","status":"publish","type":"post","link":"https:\/\/python-programs.com\/python-numpy-matrix-tobytes-function\/","title":{"rendered":"Python Numpy matrix.tobytes() 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 in 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&#8217;s values.<\/p>\n<p><strong>Numpy matrix.tobytes() Function:<\/strong><\/p>\n<p>The matrix.tobytes() method in the Numpy module can be used to get the byte code for the matrix.<\/p>\n<p><strong>Syntax:<\/strong><\/p>\n<pre> matrix.tobytes()<\/pre>\n<p><strong>Return Value:<\/strong><\/p>\n<p>The byte code for the given matrix is returned by the tobytes() function.<\/p>\n<h2>Numpy matrix.tobytes() Function in Python<\/h2>\n<h3><strong>For 2-Dimensional (2D) Matrix<\/strong><\/h3>\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>Apply tobytes() function on the given matrix to get the byte code for the given matrix.<\/li>\n<li>Store it in another variable<\/li>\n<li>Print the byte code for the given matrix.<\/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 an argument to it and store it in a variable\r\ngvn_matrx = np.matrix('[2, 1; 6, 3]')\r\n            \r\n# Apply tobytes() function on the given matrix to get the byte code for the given matrix.\r\n# Store it in another variable\r\nrslt = gvn_matrx.tobytes()\r\n# Print the byte code for the given matrix.\r\nprint(rslt)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>b'\\x02\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x06\\x00\\\r\nx00\\x00\\x00\\x00\\x00\\x00\\x03\\x00\\x00\\x00\\x00\\x00\\x00\\x00'<\/pre>\n<h3><strong>For 3-Dimensional (3D) Matrix<\/strong><\/h3>\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>Apply tobytes() function on the given matrix to get the byte code for the given matrix.<\/li>\n<li>Store it in another variable<\/li>\n<li>Print the byte code for the given matrix.<\/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# Apply tobytes() function on the given matrix to get the byte code for the given matrix.\r\n# Store it in another variable\r\nrslt = gvn_matrx.tobytes()\r\n# Print the byte code for the given matrix.\r\nprint(rslt)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>b'\\x02\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x04\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x01\\x00\\\r\nx00\\x00\\x00\\x00\\x00\\x00\\x08\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x07\\x00\\x00\\x00\\x00\\\r\nx00\\x00\\x00\\x03\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\n\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\t\\\r\nx00\\x00\\x00\\x00\\x00\\x00\\x00\\x05\\x00\\x00\\x00\\x00\\x00\\x00\\x00'<\/pre>\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-tobytes-function\/\"> <span class=\"screen-reader-text\">Python Numpy matrix.tobytes() 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.tobytes() 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-tobytes-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.tobytes() 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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