# Pandas Data Series: Compute the Euclidean distance between two given series

## Pandas: Data Series Exercise-31 with Solution

Write a Pandas program to compute the Euclidean distance between two given series.

Euclidean distance

From Wikipedia,

**Sample Solution** :

**Python Code :**

```
import pandas as pd
import numpy as np
x = pd.Series([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
y = pd.Series([11, 8, 7, 5, 6, 5, 3, 4, 7, 1])
print("Original series:")
print(x)
print(y)
print("\nEuclidean distance between two said series:")
print(np.linalg.norm(x-y))
```

Sample Output:

Original series: 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 dtype: int64 0 11 1 8 2 7 3 5 4 6 5 5 6 3 7 4 8 7 9 1 dtype: int64 Euclidean distance between two said series: 16.492422502470642

**Python Code Editor:**

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**Previous:** Write a Pandas program to filter words from a given series that contain atleast two vowels.

**Next:** Write a Pandas program to find the positions of the values neighboured by smaller values on both sides in a given series.

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## Python: Tips of the Day

**Function argument unpacking in Python.**

Example:

def tips_func(x, y, z): print(x, y, z) tuple_val = (2, 0, 2) dict_val = {'x': 3, 'y': 2, 'z': 1} tips_func(*tuple_val) tips_func(**dict_val)

Output:

2 0 2 3 2 1

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