deoga-distributions 0.5

Mathematical distributions

MATHEMATICAL DISTRIBUTION ANALYSER

Analyse distributions inlcuding their mean, standard deviation and plots. The below distributions can be analysed in this package:

• Binomial distribution
• Gassian distribution
• General distribution

Installation

Run the following code in your terminal pip install deoga_distribtions

Understanding the package

Generaldistribution.py - Initiates distribution class and contains the formulas(mu,sigma) for general distributions and reads file data using the read_data_file method.
Gaussiandistribution.py - Inherits distribution class and contains the following methods

• calculate_mean - Calculate the mean of a Gaussian distribution
• calculate_stdev - Calculate the standard deviation of a Gaussian distribution
• plot_histogram - Plot the Gaussian distribution.
• pdf - Calculate the probablility density function of the Gaussian distribution.
• plot_histogram_pdf - Plot a histogram of the probability density function of the gaussian distribution.
• __add__ - Add two Gaussians together.
• __repr__ - Print characteristics of Gaussian distribution
  Binomialdistribution.py - Inherits distribution class and contains the following methods:
• calculate_mean - Calculate the mean of a Binomial distribution.
• calculate_stdev - Calculate the standard deviation of a Binomial distribution.
• replace_stats_with_data - replace hardcoded statistics with binomial data.
• plot_bar - Plot bar graph of the Binomial distribution.
• pdf - Calculate the probablility density function of the Binomial distribution.
• plot_bar_pdf - Plot a bar of the probability density function of the Binomail distribution.
• __add__ - Add two Binomials together.
• __repr__ - Print characteristics of Binomial distribution.

Usage

Run scripts in a python compiler.

Quick Tests

Some tests to check if package is working is to run the following in a python code executer:
from deoga_distributions import Gaussian, Binomial
Gaussian(10, 7)
Binomial(0.4, 16)

You should get a returned string describing the distribution characteristics with no errors.

Extending this

If you want to extend this work, here are a few places to start:

• Add new models to the distribution
• Add new plots to the models
• Add new statisticals analytical methods to the distributions

Credits

Lead Developer - Deoga Kofi