numpy.matrix() in Python Last Updated : 09 Mar, 2022 Comments Improve Suggest changes Like Article Like Report 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 # Python Program illustrating # numpy.matrix class import numpy as geek # string input a = geek.matrix('1 2; 3 4') print("Via string input : \n", a, "\n\n") # array-like input b = geek.matrix([[5, 6, 7], [4, 6]]) print("Via array-like input : \n", b) Output : Via string input : [[1 2] [3 4]] Via array-like input : [[[5, 6, 7] [4, 6]]] References : https://docs.scipy.org/doc/numpy/reference/generated/numpy.mat.html#numpy.mat Note : These codes won't run on online IDE's. Please run them on your systems to explore the working . Comment More infoAdvertise with us Next Article numpy.matrix() in Python M Mohit Gupta_OMG Improve Article Tags : Misc Python Python-numpy Python numpy-Matrix Function Practice Tags : Miscpython Similar Reads 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 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.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 numpy.multiply() in Python The numpy.multiply() is a numpy function in Python which is used to find element-wise multiplication of two arrays or scalar (single value). It returns the product of two input array element by element.Syntax:numpy.multiply(arr1, arr2, out=None, where=True, casting='same_kind', order='K', dtype=None 3 min read Python | Numpy matrix.take() With the help of Numpy matrix.take() method, we can select the elements from a given matrix by passing the parameter as index value of that element. It will return a matrix having one dimension. Remember it will work for one axis at a time. Syntax : matrix.take(index, axis) Return : Return matrix of 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.nonzero() in Python numpy.nonzero()function is used to Compute the indices of the elements that are non-zero. It returns a tuple of arrays, one for each dimension of arr, containing the indices of the non-zero elements in that dimension. The corresponding non-zero values in the array can be obtained with arr[nonzero(ar 2 min read 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 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 Python - Matrix A matrix is a way to organize numbers in a rectangular grid made up of rows and columns. We can assume it like a table, where:Rows go across (left to right)Columns go down (top to bottom)The size of a matrix is defined by the number of rows (m) and columns (n). If a matrix has 3 rows and 4 columns, 10 min read Like