Python | Numpy matrix.take() Last Updated : 29 May, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report 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 selected indexes Example #1 : In this example we can see that by selecting one index we get only one value in a matrix by using matrix.take() method. Python3 1== # import the important module in python import numpy as np # make matrix with numpy gfg = np.matrix('[4, 1, 12, 3, 4, 6, 7]') # applying matrix.take() method geek = gfg.take(2) print(geek) Output: [[12]] 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.take() method geek = gfg.take(0, 1) print(geek) Output: [[ 4 12 4]] Comment More infoAdvertise with us Next Article numpy.take() in Python 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 numpy.take() in Python The numpy.take() function returns elements from array along the mentioned axis and indices. Syntax: numpy.take(array, indices, axis = None, out = None, mode ='raise') Parameters : array : array_like, input array indices : index of the values to be fetched axis : [int, optional] axis over which we ne 2 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 Python | Numpy matrix.round() With the help of Numpy matrix.round() method, we are able to round off the values of the given matrix. Syntax : matrix.round() Return : Return rounded values in matrix Example #1 : In the given example we are able to round off the given matrix by using matrix.round() method. Python3 1=1 # import the 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 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 Like