numpy.matmul() - オンラインチュートリアルライブラリ

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While it returns a normal product for 2-D arrays, if dimensions of either argument is >2, it is treated as a stack of matrices residing in the last two indexes and is broadcast accordingly. On the other hand, if either argument is 1-D array, it is promoted to a matrix by appending a 1 to its dimension, which is removed after multiplication. Example # For 2-D array, it is matrix multiplication import numpy.matlib import numpy as np a = [[1,0],[0,1]] b = [[4,1],[2,2]] print np.matmul(a,b) It will produce the following output − [[4 1] [2 2]] Example # 2-D mixed with 1-D import numpy.matlib import numpy as np a = [[1,0],[0,1]] b = [1,2] print np.matmul(a,b) print np.matmul(b,a) It will produce the following output − [1 2] [1 2] Example # one array having dimensions > 2 import numpy.matlib import numpy as np a = np.arange(8).reshape(2,2,2) b = np.arange(4).reshape(2,2) print np.matmul(a,b) It will produce the following output − [[[2 3] [6 11]] [[10 19] [14 27]]] numpy_linear_algebra.htm Print Page Previous Quiz Next Advertisements