Metadata-Version: 2.1
Name: pyrustats
Version: 0.2
Summary: Basic data structures for statistics
Author: Ruukha
Author-email: Ruukha <ruukha3@gmail.com>
License: Copyright 2024 Ruukha
        
        Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.11.9
Description-Content-Type: text/markdown
License-File: license.txt
Requires-Dist: matplotlib >=3.9.1

# pyrustats package
A package about statistics made by Ruukha
Currently it can only do Gaussian and Binomial distributions

# Files
Generaldistribution.py creates the 'Distribution' class for the distribution types to inherit
Gaussiandistribution.py creates the 'Gaussian' class
Binomialdistribution.py creates the 'Binomial' class
Both Gaussian and Binomial class files create functions to calculate the mean, standard deviation, probability density function (pdf), histogram, and a function to plot the normalized histogram of the data and a plot of the pdf along the same range

# Installation
No special requirements other than matplotlib
