A Python package for performing PCoA analysis using Jaccard and Bray-Curtis distances.
Project description
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
pyPCoA-0.1.4.0.tar.gz
(22.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
pyPCoA-0.1.4.0-py3-none-any.whl
(21.4 kB
view details)
File details
Details for the file pyPCoA-0.1.4.0.tar.gz.
File metadata
- Download URL: pyPCoA-0.1.4.0.tar.gz
- Upload date:
- Size: 22.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
85d2e1860b8e366b45bd9a362d205acba6dbe0089bcd4fcc29d4fa0597206d55
|
|
| MD5 |
d5f277a50057ed914a7d6bcea8aaf96c
|
|
| BLAKE2b-256 |
ef5eca4d9cf42e900d4fb2776c38a1a0027760ec3c3363a250172f6c70cfcaab
|
File details
Details for the file pyPCoA-0.1.4.0-py3-none-any.whl.
File metadata
- Download URL: pyPCoA-0.1.4.0-py3-none-any.whl
- Upload date:
- Size: 21.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
483f4a1e38f6e355e1b27b3bdc915288109538e546fda29ebcdbbc2d285932e2
|
|
| MD5 |
1871cfe3a10038184e2e36d25eb43176
|
|
| BLAKE2b-256 |
ba563e12ce8768457bbe6d6e4a3349693a4f3426bf0e84d4eb7a0da223597aea
|