Metadata-Version: 2.1
Name: mlnd_distributions
Version: 1.0
Summary: Gaussian and Binomial distributions
Home-page: https://github.com/demur/mlnd-distributions
Author: Anton Demurenko
Author-email: dai99-uanic@priv.uanic.ua
License: UNKNOWN
Description: # MLND-distributions package
        
        This package provides the Gaussian distribution and Binomial distribution classes.
        
        * Gaussian - Gaussian distribution class for calculating and visualizing a Gaussian distribution.
        Attributes:
        		mean (float) - representing the mean value of the distribution.
        		stdev (float) - representing the standard deviation of the distribution.
        		data_list (list of floats) - a list of floats extracted from the data file.
        
        Methods:
        		calculate_mean() - Function to calculate the mean of the data set.
        		calculate_stdev() - Function to calculate the standard deviation of the data set.
        		plot_histogram() - Function to output a histogram of the instance variable data using matplotlib pyplot library.
        		read_data_file(filename) - Function to read in data from a txt file. The txt file should have one number (float) per line. The numbers are stored in the data attribute.
        		pdf(x) - Probability density function calculator for the gaussian distribution
        			Args:
        				x (float): point for calculating the probability density function
        			Returns:
        				float: probability density function output
        		plot_histogram_pdf(n_spaces = 50) - Function to plot the normalized histogram of the data and a plot of the probability density function along the same range
        			Args:
        				n_spaces (int): number of data points
        			Returns:
        				list: x values for the pdf plot
        				list: y values for the pdf plot
        		__add__(other) - Function to add together two Gaussian distributions
        		Args:
        			other (Gaussian): Gaussian instance
        		Returns:
        			Gaussian: Gaussian distribution
         		__repr__() - Function to output the characteristics of the Gaussian instance
        
        
        * Binomial - Binomial distribution class for calculating and visualizing a Binomial distribution.
         Attributes:
        		mean (float) representing the mean value of the distribution
        		stdev (float) representing the standard deviation of the distribution
        		data_list (list of floats) a list of floats to be extracted from the data file
        		p (float) representing the probability of an event occurring
        		n (int) number of trials
        
        Methods:
        		calculate_mean() - Function to calculate the mean from p and n.
        		calculate_stdev() - Function to calculate the standard deviation from p and n.
        		read_data_file(filename) - Function to read in data from a txt file. The txt file should have one number (float) per line. The numbers are stored in the data attribute.
        		replace_stats_with_data() - Function to calculate p and n from the data set
        		Args:
        			None
        		Returns:
        			float: the p value
        			float: the n value
        		plot_bar() - Function to output a histogram of the instance variable data using matplotlib pyplot library.
        		pdf(k) - Probability density function calculator for the gaussian distribution.
        		Args:
        			x (float): point for calculating the probability density function
        		Returns:
        			float: probability density function output
        		plot_bar_pdf() - Function to plot the pdf of the binomial distribution
        		Args:
        			None
        		Returns:
        			list: x values for the pdf plot
        			list: y values for the pdf plot
        		__add__(other) - Function to add together two Binomial distributions with equal p
        		Args:
        			other (Binomial): Binomial instance
        		Returns:
        			Binomial: Binomial distribution
        		__repr__() - Function to output the characteristics of the Binomial instance.
        
        
        
        # Files
        * Generaldistribution.py - contains Distribution class, its attributes and methods being inherited by Gaussian and Binomial class.
        * Gaussiandistribution.py - contains Gaussian class, its attributes and methods stated above in udc-dsnd-distributions package summary.
        * Binomialdistribution.py - contains Binomial class, its attributes and methods stated above in udc-dsnd-distributions package summary.
        
        # Installation
        * The code should run with no issues using Python versions 3.*.
        * No extra besides the built-in libraries from Anaconda needed to run this project
        		Math
        		matplotlib
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
