This is a distribution class for calculating and visualizing a probaility distribution.
It consist of two functions for now which are
Installation
pip install --index-url https://test.pypi.org/simple/ b_dist
Example
:~$ python Python 3.7.3 (default, Mar 27 2019, 22:11:17) [GCC 7.3.0] :: Anaconda, Inc. on linux Type "help", "copyright", "credits" or "license" for more information.
from b_dist import Guassian Guassian(10,7) mean 10, standard deviation 7 Guassian(.4,8)
1 maintainer
Metadata
1 maintainer
Release files for b-dist 0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| b_dist-0.4.tar.gz | 3.6 kB | Details |
Release files / b_dist-0.4.tar.gz
| Download URL | b_dist-0.4.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
83c902351b805a104cf5e34225a167880c6fd1b219ec457b07c2e3267d3ad5d6
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BLAKE2b-256 checksum How to use checksums |
f513493b7be6864a2028ecc2ec864630c7ae32dec9a936b149abe1c94a57f44d
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.1.1 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
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