More Useful Array Operations. Table Of Contents: Maximum, Minimum, Sum, Mean, Product, Standard Deviation (1) data.max() data.max( ) will give you the ‘max’ value present in the array. Example: import numpy as np data = np.array([3,1,5,9,2,-3,9,10]) data.max() Output: 10 (2) data.min() data.min( ) will give you the ‘minimum’ value present in the array. Example: import numpy as np data = np.array([3,1,5,9,2,-3,9,10]) data.min() Output: -3 (3) data.sum() data.sum( ) will give you the ‘sum’ of values present in the array. Example: import numpy as np data = np.array([3,1,5,9,2,-3,9,10]) data.sum() Output: 36 (4) np.prod() np.prod( ) will give you the ‘product’ of values

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