DistroLab

Introduction

DistroLab is a Python package for working with Gaussian and Binomial distributions. It provides functionality to calculate characteristics like mean, standard deviation, and to visualize the distributions.

Installation

To install DistroLab, run the following command:

pip install DistroLab

Dependencies

• math
• matplotlib

Usage

Here are some examples of how to use DistroLab:

Working with Gaussian Distribution

from distrolab import Gaussian

# Create a Gaussian distribution
gaussian = Gaussian(mu=10, sigma=2)

# Calculate mean and standard deviation
mean = gaussian.calculate_mean()
stdev = gaussian.calculate_stdev()

# Plot the histogram
gaussian.plot_histogram()

# Plot the probability density function
gaussian.plot_histogram_pdf()

Working with Binomial Distribution

from distrolab import Binomial

# Create a Binomial distribution
binomial = Binomial(prob=0.5, size=20)

# Calculate mean and standard deviation
mean = binomial.calculate_mean()
stdev = binomial.calculate_stdev()

# Plot the histogram
binomial.plot_data_histogram()

# Plot the probability density function
binomial.plot_distribution_pdf()

License

This project is licensed under the MIT License