Numpy matrix.min() - Python
Last Updated :
20 Sep, 2025
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The matrix.min() method find the minimum value in a matrix.
Syntax
matrix.min()
Return: Returns the minimum value from the matrix.
Examples
Example 1: In this example, we create a 2×2 matrix and use matrix.min() to get the smallest value.
import numpy as np
m = np.matrix('[64, 1; 12, 3]')
mn = m.min()
print(mn)
Output
1
Explanation:
- np.matrix('[64, 1; 12, 3]') creates a 2×2 matrix
- m.min() scans all elements and finds the minimum value.
Example 2: Here, we create a 3×3 matrix and use matrix.min() to find the smallest number.
import numpy as np
m = np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, -9]')
mn = m.min()
print(mn)
Output
-9
Explanation:
- np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, -9]') creates the matrix
- m.min() iterates over all elements and identifies the smallest number.
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