﻿ NumPy: Calculate the Euclidean distance - w3resource # NumPy: Calculate the Euclidean distance

## NumPy: Array Object Exercise-103 with Solution

Write a NumPy program to calculate the Euclidean distance.

From Wikipedia: In mathematics, the Euclidean distance or Euclidean metric is the "ordinary" straight-line distance between two points in Euclidean space. With this distance, Euclidean space becomes a metric space. The associated norm is called the Euclidean norm. Older literature refers to the metric as the Pythagorean metric

Sample Solution:

Python Code:

``````from scipy.spatial import distance
p1 = (1, 2, 3)
p2 = (4, 5, 6)
d = distance.euclidean(p1, p2)
print("Euclidean distance: ",d)
```
```

Sample Output:

```Euclidean distance:  5.196152422706632
```

Python Code Editor:

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## Python: Tips of the Day

List comprehension:

```>>> m = [x ** 2 for x in range(5)]
>>> m
[0, 1, 4, 9, 16]
```