numpy datamin

The data.min method in numpy returns the minimum value of an array along a specified axis. For example:

import numpy as np

arr = np.array([[1, 2, 3], [4, 5, 6]])
print(arr.min())  # output: 1
print(arr.min(axis=0))  # output: [1 2 3]
print(arr.min(axis=1))  # output: [1 4]

In the above example, arr.min() returns the minimum value of the entire array, which is 1. arr.min(axis=0) returns the minimum value of each column in the array, while arr.min(axis=1) returns the minimum value of each row in the array.