With the help of Numpy numpy.matrix.T()
method, we can make a Transpose of any matrix either having dimension one or more than more.
Syntax :
numpy.matrix.T()
Return : Return transpose of every matrix
Example #1 :
In this example we can see that with the help of matrix.T()
method, we are able to transform any type of matrix.
# import the important module in python import numpy as np # make a matrix with numpy gfg = np.matrix( '[1, 2, 3, 4]' ) # applying matrix.T() method neveropen = gfg.getT() print (neveropen) |
[[1] [2] [3] [4]]
Example #2 :
# 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.T() method neveropen = gfg.getT() print (neveropen) |
[[1 4 7] [2 5 8] [3 6 9]]