Hi guys. How are you all? I hope you all are fine. Today in this tutorial we will learn about How to calculate euclidean distance in python. The shortest distance between two points in mathemetics is known as the euclidean distance. Here we will calculate the euclidean distance between two points. Here i am giving you some methods to calculate it. So lets learn about this. I hope this will help you:

Contents

## How to calculate euclidean distance in python

**calculate euclidean distance in python**to calculate euclidean distance in python just

**Use numpy.sqrt()**. You can use numpy.sqrt() to calculate the euclidean distance in python. here you can calculate the euclidean distance by using numpy.sqrt and dot() function. Which will return us the sum of squres. So let's learn this by given example:Output :`import numpy as np var1 = np.array((11,12,14)) var2 = np.array((64, 35, 26)) temp = var1-var2 result = np.sqrt(np.dot(temp.T, temp)) print(result)`

**59.00847396772772****How to calculate euclidean distance in python**to calculate euclidean distance in python just

**Use math.dist()**. You can use math.dist() to calculate the euclidean distance. Here we will use math.dist() function. The dist() function will return us the line segment between two points. And we can find out the euclidean distance in python. So lets learn this by given below example:Output :`from math import dist var1 = (11,12,14) var2 = (64, 35, 26) print(dist(var1,var2))`

**59.00847396772772**

## Method 1: Use numpy.sqrt()

You can use numpy.sqrt() to calculate the euclidean distance in python. here you can calculate the euclidean distance by using numpy.sqrt and dot() function. Which will return us the sum of squres. So let’s learn this by given example:

```
import numpy as np
var1 = np.array((11,12,14))
var2 = np.array((64, 35, 26))
temp = var1-var2
result = np.sqrt(np.dot(temp.T, temp))
print(result)
```

Output :

`59.00847396772772`

## Method 2: Use math.dist()

You can use math.dist() to calculate the euclidean distance. Here we will use math.dist() function. The dist() function will return us the line segment between two points. And we can find out the euclidean distance in python. So lets learn this by given below example:

```
from math import dist
var1 = (11,12,14)
var2 = (64, 35, 26)
print(dist(var1,var2))
```

Output :

`59.00847396772772`

## Method 3: Use numpy.sum()

By using numpy.sum() you can calculate the euclidean distance in python. Here numpy.sum() function will give you the sum of the elements and nunmpy.sqrt() will return us the square of the elements. Let’s learn this by given example. This will help you.

```
import numpy as np
var1 = np.array((11,12,14))
var2 = np.array((64, 35, 26))
result = np.sqrt(np.sum(np.square(var1-var2)))
print(result)
```

Output :

`59.00847396772772`

## Method 4: Use norm()

When the elements are in the form of an array then norm() will return us the vector norm of an array. which will help us to calculate the euclidean distance in python. So let’s learn this by giving the below example. I hope this will help you.

```
import numpy as np
var1 = np.array((11,12,14))
var2 = np.array((64, 35, 26))
result = np.linalg.norm(var1-var2)
print(result)
```

Output :

`59.00847396772772`

## Conclusion

Hope all 6 Method Are Useful For You. Comment Below Which Method You Used To Convert String To Datetime In Python. Thank You.