Pandas – Compute the Euclidean distance between two series
Example 1:
import pandas as pd import numpy as np # create pandas series x = pd.Series([ 1 , 2 , 3 , 4 , 5 ]) y = pd.Series([ 6 , 7 , 8 , 9 , 10 ]) # here we are computing every thing # step by step p1 = np. sum ([(a * a) for a in x]) p2 = np. sum ([(b * b) for b in y]) # using zip() function to create an # iterator which aggregates elements # from two or more iterables p3 = - 1 * np. sum ([( 2 * a * b) for (a, b) in zip (x, y)]) dist = np.sqrt(np. sum (p1 + p2 + p3)) print ( "Series 1:" , x) print ( "Series 2:" , y) print ( "Euclidean distance between two series is:" , dist) |
import pandas as pd import numpy as np x = pd.Series([ 1 , 2 , 3 , 4 , 5 ]) y = pd.Series([ 6 , 7 , 8 , 9 , 10 ]) # zip() function creates an iterator # which aggregates elements from two # or more iterables dist = np.sqrt(np. sum ([(a - b) * (a - b) for a, b in zip (x, y)])) print ( "Series 1:" ) print (x) print ( "Series 2:" ) print (y) print ( "Euclidean distance between two series is:" , dist) |
import pandas as pd import numpy as np x = pd.Series([ 1 , 2 , 3 , 4 , 5 ]) y = pd.Series([ 6 , 7 , 8 , 9 , 10 ]) dist = (np.linalg.norm(x - y)) print ( "Series 1:" ) print (x) print ( "Series 2:" ) print (y) print ( "Euclidean distance between two series is:" , dist) |
import pandas as pd import numpy as np x = pd.Series([ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ]) y = pd.Series([ 12 , 8 , 7 , 5 , 6 , 5 , 3 , 9 , 7 , 1 ]) dist = np.sqrt(np. sum ([(a - b) * (a - b) for a, b in zip (x, y)])) print ( "Series 1:" ) print (x) print ( "Series 2:" ) print (y) print ( "Euclidean distance between two series is:" , dist) |
Output :
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