A package for Gaussian and Binomial distributions
Project description
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
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