Perform the following Aggregate and Statistical Functions using Numpy Array. array1 = np.array([[10, 20, 30], [40, 50, 60]]). Data science using Python in Anaconda - Jupyter

 Question

1. Mean

2. Standard deviation

3. Variance

4. Sum of array elements

5. Product of array elements

Program: -

import numpy as np

array1 = np.array([[10, 20, 30], [40, 50, 60]])

print("Orignal Array 1:- \n",array1,"\n")

print("Mean :-",np.mean(array1))

print("Standard deviation :-",np.std(array1))

print("Variance :-",np.var(array1))

print("Sum of array elements :-",np.sum(array1))

print("Product of array elements :-",np.prod(array1))

Output: -

Orignal Array 1:- [[10 20 30] [40 50 60]] Mean :- 35.0 Standard deviation :- 17.07825127659933 Variance :- 291.6666666666667 Sum of array elements :- 210 Product of array elements :- 720000000