Python | Numpy matrix.min()
With the help of Numpy matrix.min() method, we can get the minimum value from given matrix.
Syntax :
matrix.min()Return : Return minimum value from given matrix
Example #1 :
In this example we can see that we are able to get the minimum value from a given matrix with the help of method matrix.min().
# import the important module in python import numpy as np # make matrix with numpy gfg = np.matrix('[64, 1; 12, 3]') # applying matrix.min() method Lazyroar = gfg.min() print(Lazyroar) |
Output:
1
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.min() method Lazyroar = gfg.min() print(Lazyroar) |
Output:
-9
