dictances

Distances and divergences between distributions implemented in python.

How do I install this package?

As usual, just download it using pip:

pip install dictances

Tests Coverage

Since some software handling coverages sometime get slightly different results, here’s three of them:

Available metrics

A number of distances and divergences are available:

Distances	Methods
Bhattacharyya distance	`bhattacharyya`
Bhattacharyya coefficient	`bhattacharyya_coefficient`
Canberra distance	`canberra`
Chebyshev distance	`chebyshev`
Chi Square distance	`chi_square`
Cosine Distance	`cosine`
Euclidean distance	`euclidean`
Hamming distance	`hamming`
Jensen-Shannon divergence	`jensen_shannon`
Kullback-Leibler divergence	`kullback_leibler`
Mean absolute error	`mae`
Taxicab geometry	`manhattan, cityblock, total_variation`
Minkowski distance	`minkowsky`
Mean squared error	`mse`
Pearson’s distance	`pearson`
Squared deviations from the mean	`squared_variation`

Usage example

from dictances import cosine

cosine(my_first_dictionary, my_second_dictionary)

Handling nested dictionaries

If you need to compute the distance between two nested dictionaries you can use deflate_dict as follows:

from dictances import cosine
from deflate_dict import deflate

my_first_dictionary = {
    "a": 8,
    "b": {
        "c": 3,
        "d": 6
    }
}

my_second_dictionary = {
    "b": {
        "c": 8,
        "d": 1
    },
    "y": 3,

}

cosine(deflate(my_first_dictionary), deflate(my_second_dictionary))

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dictances-1.5.2.tar.gz (8.6 kB view details)

Uploaded Nov 10, 2019 Source

File details

Details for the file dictances-1.5.2.tar.gz.

File metadata

Download URL: dictances-1.5.2.tar.gz
Upload date: Nov 10, 2019
Size: 8.6 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for dictances-1.5.2.tar.gz
Algorithm	Hash digest
SHA256	`66cbe49c272baf4101a0a6504c8129f6a79399d2167d990fd378b8deed5d878a`
MD5	`3b3859c9f46d9c9e22d76570dfa79867`
BLAKE2b-256	`bd49a5a430d3a74f43e29c9481ab830cd0353142e3cf70cd2da659132ee5a948`