Metadata-Version: 2.4
Name: distributions_hlowy
Version: 0.1
Summary: Gaussian distributions
Author: H Lowy
License: MIT
Project-URL: Source, https://github.com/HWLowy/distributions_hlowy
Project-URL: Issues, https://github.com/HWLowy/distributions_hlowy/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib
Dynamic: license
Dynamic: license-file
Dynamic: summary

# Distributions

A Python package for calculating and visualizing Gaussian and Binomial probability distributions.

## Installation

You can install this package locally using pip:

```bash
pip install .

Actually, for a standard Python project, the README.md should be placed in the root directory of your project (the top-level folder), not inside the distributions subfolder where your code lives.

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5a_binomial_package_hlowy/ (Root Folder)

README.md

setup.py / setup.cfg

LICENSE.txt

distributions_hlowy/

__init__.py

Gaussiandistribution.py

Generaldistribution.py

Binomialdistribution.py

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# Distributions

A Python package for calculating and visualizing Gaussian and Binomial probability distributions.

## Installation

You can install this package locally using pip:

```bash
pip install .

 # Features:

- Gaussian Distribution: Calculate mean, standard deviation, and Probability Density Function (PDF).

- Binomial Distribution: Calculate mean, standard deviation, and PDF for discrete trials.

- Visualization: Generate histograms and bar charts for data and probability functions using Matplotlib.

- Math Operations: Supports adding two distributions of the same type together.

# Usage:

from distributions import Gaussian, Binomial

# Work with Gaussian
g = Gaussian(25, 2)
print(g.pdf(25))

# Work with Binomial
b = Binomial(0.5, 20)
b.read_data_file('numbers_binomial.txt')
b.replace_stats_with_data()
b.plot_bar()
