spycio 0.2.5

Distances in python

Space with a (pseudo-)metric allows us to perform distances. This library offers several functionalities in this regard;

How to install

We run the command on desired installation environment:

pip install spycio

Minimal example

#!/usr/bin/env python
from numpy import Inf
from math import pi

from spycio import distance, travelTime

def format_distance_without_configuration(A, B, speed, method):
    string_template='A:{origin}, B:{target}, speed:{speed}, method:{on}, distance:{d}, eta:{eta}'
    
    dist=distance(A, B, method)
    duration=travelTime(speed, A, B, method)
    
    return string_template.format(origin=A,target=B,speed=speed, on=method,d=dist,eta=duration)

def format_distance(A, B, speed, method, config):
    string_template='A:{origin}, B:{target}, speed:{speed}, method:{on}, config:{setup}, distance:{d}, eta:{eta}'
    
    dist=distance(A, B, method, config)
    duration=travelTime(speed, A, B, method, config)
    
    return string_template.format(origin=A,target=B, speed=speed, on=method,setup=config, d=dist, eta=duration)

# Default distance calculation: Euclidean
A=[0, 0]
B=[1, 1]

speed=1

print('Euclidean distance: '+str(distance(A, B)))

print('\n')

configurations=[
    ([1, 1], [2, 2], speed, "manhattan"),
    ([1, 1], [2, 2], speed, "euclidean"),
    ([1, 1], [2, 2], speed, "max")
]

print('Format distance without configuration: ')
for A, B, speed, method in configurations:
    print(format_distance_without_configuration(A, B, speed, method))

print('\n')

configurations=[
    ([1, 1], [2, 2], speed, "pnorm", { "exponent": 2 }),
    ([1, 1], [2, 2], speed, "pnorm", { "exponent": 3 }),
    ([1, 1], [2, 2], speed, "pnorm", { "exponent": 4 }),
    ([1, 1], [2, 2], speed, "pnorm", { "exponent": Inf }),
    ([0, 0], [pi / 2, 0], speed, "sphere", { "radius": 1 })
]

print('Format distance with configuration: ')

for A, B, speed, method, config in configurations:
    print(format_distance(A, B, speed, method, config))