With the help of Numpy matrix.flatten() method, we are able to flatten of a given matrix and gives output as one dimensional matrix.
Syntax :
matrix.flatten()Return : Return flatten 1-D matrix
Example #1 :
In this example we can see that with the help of matrix.flatten() method we are able to flatten a given matrix.
# import the important module in python import numpy as np          # make matrix with numpy gfg = np.matrix('[6; 2; 3]')          # applying matrix.flatten() method neveropen = gfg.flatten()    print(neveropen) |
Output:
[[6 2 3]]
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.flatten() method neveropen = gfg.flatten()    print(neveropen) |
Output:
[[1 2 3 4 5 6 7 8 9]]
