Python | Numpy matrix.trace() Last Updated : 29 May, 2019 Comments Improve Suggest changes Like Article Like Report With the help of Numpy matrix.trace() method, we can find the sum of all the elements of diagonal of a matrix by using the matrix.trace() method. Syntax : matrix.trace() Return : Return sum of a diagonal elements of a matrix Example #1 : In this example we can see that by using matrix.trace() method can help us to find the sum of all the elements of a diagonal of given matrix. Python3 1== # import the important module in python import numpy as np # make matrix with numpy gfg = np.matrix('[4, 1; 12, 3]') # applying matrix.trace() method geek = gfg.trace() print(geek) Output: [[7]] Example #2 : Python3 1== # import the important module in python import numpy as np # make matrix with numpy gfg = np.matrix('[4, 1, 9; 12, 3, 1; 4, 5, 6]') # applying matrix.trace() method geek = gfg.trace() print(geek) Output: [[13]] Comment More infoAdvertise with us Next Article Python | Numpy matrix.trace() J Jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-Matrix Function Practice Tags : python Similar Reads Python | Numpy matrix.transpose() With the help of Numpy matrix.transpose() method, we can find the transpose of the matrix by using the matrix.transpose()method in Python. Numpy matrix.transpose() Syntax Syntax : matrix.transpose() Parameter: No parameters; transposes the matrix it is called on. Return : Return transposed matrix Wh 3 min read Python | Numpy matrix.tobytes() With the help of Numpy matrix.tobytes() method, we can find the byte code for the matrix by using the matrix.tobytes() method. Syntax : matrix.tobytes() Return : Return byte code for matrix Example #1 : In this example we can see that by using matrix.tobytes() method we are able to find the byte cod 1 min read Python | Numpy matrix.tostring() With the help of Numpy matrix.tostring() method, we can find the byte code in string format for the matrix by using the matrix.tostring() method. Syntax : matrix.tostring() Return : Return byte code string for matrix Example #1 : In this example we can see that by using matrix.tostring() method we a 1 min read numpy.matrix() in Python This class returns a matrix from a string of data or array-like object. Matrix obtained is a specialised 2D array. Syntax : numpy.matrix(data, dtype = None) : Parameters : data : data needs to be array-like or string dtype : Data type of returned array. Returns : data interpreted as a matrix Python 1 min read numpy.trunc() in Python The numpy.trunc() is a mathematical function that returns the truncated value of the elements of array. The trunc of the scalar x is the nearest integer i which, closer to zero than x. This simply means that, the fractional part of the signed number x is discarded by this function. Syntax : numpy.tr 2 min read numpy.asmatrix() in Python numpy.asmatrix(data, dtype = None) Returns a matrix by interpreting the input as a matrix. Parameters : data : array-like input data dtype : Data type of returned array Returns : Interprets the input as a matrix Python # Python Programming illustrating # numpy.asmatrix import numpy as geek # array-l 1 min read Python | Numpy numpy.matrix.A() With the help of Numpy numpy.matrix.A() method, we can get the same matrix as self. It means through this method we can get the identical matrix. Syntax : numpy.matrix.A() Return : Return self matrix Example #1 : In this example we can see that with the help of matrix.A() method, we are able to get 1 min read NumPy Array in Python NumPy (Numerical Python) is a powerful library for numerical computations in Python. It is commonly referred to multidimensional container that holds the same data type. It is the core data structure of the NumPy library and is optimized for numerical and scientific computation in Python. Table of C 2 min read numpy.zeros() in Python numpy.zeros() function creates a new array of specified shapes and types, filled with zeros. It is beneficial when you need a placeholder array to initialize variables or store intermediate results. We can create 1D array using numpy.zeros().Let's understand with the help of an example:Pythonimport 2 min read Numpy recarray.trace() function | Python In numpy, arrays may have a data-types containing fields, analogous to columns in a spreadsheet. An example is [(a, int), (b, float)], where each entry in the array is a pair of (int, float). Normally, these attributes are accessed using dictionary lookups such as arr['a'] and arr['b']. Record array 2 min read Like