With the help of Numpy matrix.clip() method, we can select the elements from a matrix by passing a parameter as minimum value and maximum value. Output array having the range in between those parameters and size of a matrix will be same.
Syntax :
matrix.clip()Return : Return a matrix having value in between min and max values.
Example #1 :
In this example we can see that with the help of matrix.clip() method we are able to clip the matrix in between min value and max value.
# import the important module in python import numpy as np              # make a matrix with numpy gfg = np.matrix('[1, 2, 3, 4; 3, 1, 5, 6]')              # applying matrix.clip() method neveropen = gfg.clip(1, 4)        print(neveropen) |
Output:
[[1 2 3 4] [3 1 4 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.clip() method neveropen = gfg.clip(4, 9)        print(neveropen) |
Output:
[[4 4 4] [4 5 6] [7 8 9]]
