A python implementation of XKCD''s Geothmetic Meandian ( https://xkcd.com/2435/ )
Project description
GMDN
A python implementation of XKCD's Geothmetic Meandian ( https://xkcd.com/2435/ )
Simply run
>>> from GMDN import GMDN
>>> GMDN([1, 1, 2, 3, 5])
2.0890566336242085
One can optionally include a limit, for how close the highest and lowest mean/median should be to accept the answer. The limit defaults to 0.00001. Note that the function returns the median of the result.
>>> from GMDN import GMDN
>>> GMDN([1, 1, 2, 3, 5], 1)
2
GMDN can also be used to get a tuple of (arithmetic mean, geometric mean, median), using geothmetic_mean found in GMDN.helpers:
>>> from GMDN.helpers import geothmetic_meandian
>>> geothmetic_meandian([1, 1, 2, 3, 5])
(2.4, 1.97435048583482, 2)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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
File details
Details for the file GMDN-1.0.1.tar.gz.
File metadata
- Download URL: GMDN-1.0.1.tar.gz
- Upload date:
- Size: 2.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.2 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
77cbc94c53d5bf9aaa8ee6a25b04afa3b2c39c90c6a94147db3d41bda06c0ad7
|
|
| MD5 |
a6ca2943b1706507383dd4d463727d18
|
|
| BLAKE2b-256 |
b1bae04e17aaeaedeca3bb7142033438f9360045343de0662d10ba7632c6e6ae
|
File details
Details for the file GMDN-1.0.1-py3-none-any.whl.
File metadata
- Download URL: GMDN-1.0.1-py3-none-any.whl
- Upload date:
- Size: 3.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.2 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1e0f78e100bf5d6cbf38ec8581acbb3888a4ab64e502d14ca4b50c1bc14af3c5
|
|
| MD5 |
84001c49b0fee03f648aa9d1937de813
|
|
| BLAKE2b-256 |
ccdafc689ba9869b6d982f322c4bd378471a7e19d2890f95070342713ab49956
|