﻿ NumPy: Compute the covariance matrix of two given arrays - w3resource

# NumPy: Compute the covariance matrix of two given arrays

## NumPy Statistics: Exercise-8 with Solution

Write a NumPy program to compute the covariance matrix of two given arrays.

Sample Solution:-

Python Code:

``````import numpy as np
x = np.array([0, 1, 2])
y = np.array([2, 1, 0])
print("\nOriginal array1:")
print(x)
print("\nOriginal array1:")
print(y)
print("\nCovariance matrix of the said arrays:\n",np.cov(x, y))
```
```

Sample Output:

```Original array1:
[0 1 2]

Original array1:
[2 1 0]

Covariance matrix of the said arrays:
[[ 1. -1.]
[-1.  1.]]
```

Python Code Editor:

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## Python: Tips of the Day

Chain Operators

You can chain comparison operators in Python as following: n = 10 result = 1 < n < 20

```distance = 200
checker = 100 < distance < 350

print(checker)
```

Output:

`True`