interspace 0.0.10

Interspace gives us different type distances between two vectors.

Interspace

Gives us different distance between two vectors which are given in as an input.

Installation

pip install interspace

Different Distance Functions

• Minkowski distance(p-Norm Distance)

minkowski(vector_1, vector_2, p=1)

• Euclidean distance (2-norm distance)

euclidean(vector_1, vector_2)

• Manhattan distance/Taxicab norm

manhattan(vector_1, vector_2)

• Cosine Similarity

cosine_similarity(vector_1, vector_2)

• Haversine formula

haversine(coord1, coord2, R = 6372800)

• Hamming distance

hamming(int, int); hamming(str, str) # where, length of both the strings should be same

• Mahalanobis distance

mahalanobis(vector_1, vector_2, inverse_of_the_covariance_matrix)

Usage

import interspace

# Calculate Euclidean Distace
interspace.euclidean([1,2,3],[4,5,6])
##Output: 5.196152422706632

# Compute the great-circle distance between two points on a sphere 
# given their longitudes and latitudes.
interspace.haversine((42.5170365,  15.2778599),(51.5073219,  -0.1276474))
##Output: 1532329.6237517272