The pandas library allows us to compute Euclidean distance between two pandas series.

# Formula
$d\left( p,q\right)   = \sqrt {\sum _{i=0}^{n}  \left( q_{i}-p_{i}\right)^2 }$

#importing pandas library
import pandas as pd

#initializing two pandas series
series1 = pd.Series(range(10))
series2 = pd.Series(range(100,110))

#computing the Euclidean distance using the formula
distance = sum((series1 - series2)**2)**0.5

print("Euclidean Distance: ")
print(distance)

#importing pandas and numpy
import pandas as pd
import numpy as np

#initializing two pandas series
series1 = pd.Series(range(10))
series2 = pd.Series(range(100,110))

#computing the Euclidan distance using a function
distance = np.linalg.norm(series1-series2)

print("Euclidean Distance: ")
print(distance)

How to compute Euclidean distance between two series in pandas

Compute Euclidean distance between pandas series using the formula or a numpy function.

How to compute Euclidean distance between two series in pandas

Formula

Method 1: Using the formula

Method 2: Using a `numpy` function

How to compute Euclidean distance between two series in pandas

Formula

Method 1: Using the formula

Method 2: Using a numpy function

Method 2: Using a `numpy` function