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NumPy: Compute the average, variance, standard deviation of an array of 1000 elements

NumPy Mathematics: Exercise-20 with Solution

Write a NumPy program to create a random array with 1000 elements and compute the average, variance, standard deviation of the array elements.

Sample Solution:

Python Code:

import numpy as np
x = np.random.randn(1000)
print("Average of the array elements:")
mean = x.mean()
print(mean)
print("Standard deviation of the array elements:")
std = x.std()
print(std)
print("Variance of the array elements:")
var = x.var()
print(var)

Sample Output:

Average of the array elements:                                         
-0.0255137240796                                                       
Standard deviation of the array elements:                              
0.984398282476                                                         
Variance of the array elements:                                        
0.969039978542

Python Code Editor:

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Python: Tips of the Day

Getting rid of unwanted characters:

You can get rid of whitespaces or any specific character using strip methods in Python. You can use either plain strip for both sides, lstrip for the left side and rstrip for the right side only.

str="+++Welcome python+++"
str.strip()

print(str)

Output:

+++Welcome python+++