Let’s see How to get the minimum and maximum value of a given NumPy array along the second axis. Here, the Second axis means row-wise.
We are using numpy.amax() and numpy.amin() function of NumPy to get the minimum and maximum values of an array along the second axis respectively.
numpy.amax(): This function returns maximum of an array or maximum along axis(if mentioned).
Syntax: numpy.amax(a, axis=None, out=None, keepdims=<no value>, initial=<no value>, where=<no value>)
numpy.amin(): This function returns minimum of an array or minimum along axis(if mentioned).
Syntax: numpy.amin(a, axis=None, out=None, keepdims=<no value>, initial=<no value>, where=<no value>)
Now, Let’s see an example:
Example 1:
Python3
# Import numpy library import numpy as np # Create a numpy array arr = np.array([[0, 1], [2, 3]]) print("Given Array:\n", arr) # find row-wise max values rslt1 = np.amax(arr, 1) print("\nMaximum Value:", rslt1) # find row-wise min values rslt2 = np.amin(arr, 1) print("\nMinimum Value:", rslt2) |
Output:
Given Array: [[0 1] [2 3]] Maximum Value: [1 3] Minimum Value: [0 2]
Example 2:
Python3
# Import numpy library import numpy as np # Create a numpy array arr = np.array([[10, 34, 45], [22, -3, 46], [33, 4, 6]]) print("Given array:\n", arr) # find row-wise max values rslt1 = np.amax(arr, 1) print("\nMaximum value along the second axis:", rslt1) # find row-wise min values rslt2 = np.amin(arr, 1) print("\nMinimum value along the second axis:", rslt2) |
Output:
Given array: [[10 34 45] [22 -3 46] [33 4 6]] Maximum value: [45 46 33] Minimum value: [10 -3 4]
