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-0.0.6.tar.gz
(2.7 kB
view hashes)
Built Distribution
Close
Hashes for PyDistances-0.0.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8a9fabed880ce288c392cff8211873d467efd9906c8bbca5de25e332b9743653 |
|
MD5 | 662917e914973cae943077bf25259a2e |
|
BLAKE2b-256 | 80dd4a90571b7906df61356de97e34a2edbd284b1532905acd5a87599d6c1766 |