Python | Numpy matrix.diagonal() Last Updated : 12 Apr, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report With the help of Numpy matrix.diagonal() method, we are able to find a diagonal element from a given matrix and gives output as one dimensional matrix. Syntax : matrix.diagonal() Return : Return diagonal element of a matrix Example #1 : In this example we can see that with the help of matrix.diagonal() method we are able to find the elements in a diagonal of a matrix. Python3 1== # import the important module in python import numpy as np # make matrix with numpy gfg = np.matrix('[6, 2; 3, 4]') # applying matrix.diagonal() method geeks = gfg.diagonal() print(geeks) Output: [[6 4]] Example #2 : Python3 1== # import the important module in python import numpy as np # make a matrix with numpy gfg = np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, 9]') # applying matrix.diagonal() method geeks = gfg.diagonal() print(geeks) Output: [[1 5 9]] Comment More infoAdvertise with us Next Article Python | numpy.fill_diagonal() method J jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-Matrix Function Practice Tags : python Similar Reads 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.diagflat() in Python numpy.diagflat (a, k = 0): Create a two-dimensional array with the array_like input as a diagonal to the new output array. Parameters : a : array_like input data with diagonal elements strong>k : [int, optional, 0 by default] Diagonal we require; k>0 means diagonal above main diagonal or vice 1 min read numpy.diag() in Python numpy.diag(a, k=0) : Extracts and construct a diagonal array Parameters : a : array_like k : [int, optional, 0 by default] Diagonal we require; k>0 means diagonal above main diagonal or vice versa. Returns : ndarray Python # Python Programming illustrating # numpy.diag method import numpy as geek 1 min read Python | numpy.fill_diagonal() method With the help of numpy.fill_diagonal() method, we can get filled the diagonals of numpy array with the value passed as the parameter in numpy.fill_diagonal() method. Syntax : numpy.fill_diagonal(array, value) Return : Return the filled value in the diagonal of an array. Example #1 : In this example 1 min read Numpy matrix.I function | Python With the help ofnumpy.matrix.I() function we can get the multiplicative inverse of the same size as of our given matrix. Syntax : numpy.matrix.I() Return : [matrix object] If self is non-singular, ret is such that ret * self == self * ret == np.matrix(np.eye(self[0, :].size) all return True. Return 1 min read numpy.matrix.A() function - Python numpy.matrix.A() function return self as an ndarray object. Syntax : numpy.matrix.A() Parameters : None Return : [ndarray] Return self as an ndarray. Code #1 : Python3 # Python program explaining # numpy.matrix.A() function # importing numpy as geek import numpy as geek mat = geek.matrix(geek.arange 1 min read Like