# 
## Overview

We use the **`covariance()`** method in **Python** to get the sample covariance of two inputs.

**Covariance** is a measure of the directional relationship between two random variables in statistics. The covariance between two random variables can have the following values:

1. **Positive**: A positive covariance value suggests that both random variables move in the *same* direction. If one random variable increases, the other random variable also increases. Similarly, if one random variable decreases, the other also decreases.
2. **Negative**: A negative covariance value suggests that both random variables move in the *opposite* direction. If one random variable increases, then the other random variable decreases. Similarly, if one random variable decreases, the other increases.
3. **Zero**: When the two random variables are independent of each other, the covariance between them is zero.

When we use the `covariance()` method, the length of both the inputs has to be the same. 

This method was introduced in Python version 3.10.

# 
## Syntax

```python
covariance(x, y, /)
```

## Parameters

- **`x`**: It is the first input.
- **`y`**: It is the second input.

## Return value

The method returns the covariance value.


## Example 1

import statistics

x = [2, 3, 4, 2]
y = [3, 5, 9, 0]

print("Covariance - ", statistics.covariance(x, y))

python310

# 
## Explanation

- **Line 1**: We import the **`statistics`** module.
- **Line 3**: We define the first input `x`.
- **Line 4**: We define the second input `y`.
- **Line 6**: We calculate the covariance of the inputs using the `covariance()` method.

Here, the covariance value is positive. This indicates that both the random variables/inputs move in the same direction.

#include <iostream>
using namespace std;

int main() {
  // your code goes here
  cout << "Hello World";
  return 0;
}

import statistics

x = [2, 3, 4, 2]
y = [1, -1, -2, 0]

print("Covariance - ", statistics.covariance(x, y))

# 
## Explanation

- **Line 1**: We import the `statistics` module.
- **Line 3**: We define the first input `x`.
- **Line 4**: We define the second input `y`.
- **Line 6**: We calculate the covariance of the inputs using the `covariance()` method.

Here, the covariance value is negative. This indicates that both the random variables/inputs move in the opposite direction.

python310.tar.gz

What is the statistics.covariance() method in Python?

Calculates sample covariance between two inputs, indicating their directional relationship: positive, negative, or zero. Introduced in Python 3.10.


What is the statistics.covariance() method in Python?

Overview

Syntax

Parameters

Return value

Example 1

Explanation

Example 2

Explanation