﻿ Python NumPy: Create a random array with 1000 elements and compute the average, variance, standard deviation of the array elements - w3resource

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

## Python NumPy Math, Statistics, Trigonometry and Linear algebra: Exercise-20 with Solution

Write a Python 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:

```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)```

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