This is a package for computing distances among observations of statistical variables, such as: Euclidean, Minkowski, Canberra, Pearson, Mahalanobis, Robust Mahalanobis, Gower, Generalized Gower and Related Metric Scaling (RelMS). A total of 41 statistical distances can be computed.
Project description
PyDistances: A Statistical Distances Python Package
This is a package for computing distances among observations of statistical variables, such as: Euclidean, Minkowski, Canberra, Pearson, Mahalanobis, Robust Mahalanobis, Gower, Generalized Gower and Related Metric Scaling (RelMS). A total of 41 statistical distances can be computed.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
PyDistances-0.0.10.tar.gz
(12.1 kB
view hashes)
Built Distribution
Close
Hashes for PyDistances-0.0.10-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 187e7836e8a29511089cf52ea64a488c369596d102249e1dbb3ebaa5803c6fe9 |
|
MD5 | 8e5e46bda8a5d62ea9ae6bac91142ea0 |
|
BLAKE2b-256 | 54a3dc3662d876b25192a84ee55285b0f8b009336bb951fea0979f77a62a165c |