Distribution Analyzer

This package allows a user to perform some simple analysis of basic elements of Gaussian and Binomial Distributions.

This package is primarily meant as a test case/POC for loading packages to PyPi, but may also be useful for some other people.

To use this package:

1. pip install daigle-dist
2. run Python
3. enter from distributions import Gaussian, Binomial
   3a. Gaussian(mean, stdev)
   3b. Binomial(mean,stdev)
4. Attributes include:

• read_data_file(): assigns the distribution object some data from a .txt file
• mean: returns the distribution object's mean
• stdev: returns the distribution object's standard deviation
• calculate_mean(): assigns and returns a distribution object's mean
• calculate_stdev(): assigns and returns a distribution object's standard deviation
• replace_stats_with_data(): update attributes of p and n of binomial distribution object
• plot_bar: bar chart plot of the outcomes and frequencies of a distribution object
• pdf(): calculates the probability density function for a distribution object
• plot_bar_pdf: bar chart plot of the probability density function of a distribution object

5. Magic Methods include:

• __add__: allows two distribution objects to be added to each other as well as calculate the mean and standard deviation of each other
• __repr__: outputs the characteristics of a distribution object