Let’s see how to calculate the difference between the maximum and the minimum values of a given NumPy array along the second axis. Here, the Second axis means row-wise.
So firstly for finding the row-wise maximum and minimum elements in a NumPy array we are using numpy.amax() and numpy.amin() functions of NumPy library respectively. then After that we simply perform subtraction on it.
numpy.amax(): This function returns maximum of an array or maximum along axis(if mentioned).
Syntax: numpy.amax(arr, axis = None, out = None, keepdims = )
numpy.amin(): This function returns minimum of an array or minimum along axis(if mentioned).
Syntax: numpy.amin(arr, axis = None, out = None, keepdims = )
Now, Let’s see an example:
given array: [[100 20 305] [200 40 300]] difference: [285 260]
original array: [[12 13 14 15 16] [17 18 19 20 21]] Difference: [4 4]
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