A Python package to get Gaussian distributions and Binominal distributions.
Project description
Project description
Jashuprobdistributions 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 Jashwanthprobdistributions package summary.
 Binomialdistribution.py  contains Binomial class, its attributes and methods stated above in Jashwanthprobdistributions packagesummary.
Installation
 The code should run with no issues using Python versions 3.*.
 No extra besides the builtin libraries from Anaconda needed to run this project Math matplotlib
Use the package manager pip to install jashu_prob_distributions.
pip install Jashuprobdistributions
open python IDE, Try Usage,
from jashu_prob_distributions import Gaussian, Binomial
Gaussian(10, 7) #returns a Gaussian Distribution with mean and standard deviation
Binomial(.4,25) #returns a Binomial distribution with mean ,standard deviation,p,n
Contributing Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size  File type  Python version  Upload date  Hashes 

Filename, size Jashu_prob_distributions1.0.4py3noneany.whl (6.4 kB)  File type Wheel  Python version py3  Upload date  Hashes View 
Filename, size Jashuprobdistributions1.0.4.tar.gz (5.3 kB)  File type Source  Python version None  Upload date  Hashes View 
Hashes for Jashu_prob_distributions1.0.4py3noneany.whl
Algorithm  Hash digest  

SHA256  641323e39d3ae7c7357792819958f51b764fa1849d7c6fae97523a9d47e470ee 

MD5  4bfde5f797687d7678a045a56107ff85 

BLAKE2256  72356234215f8065d5c3239e997c2dc885029b76e705e62b03b7c302170c2648 
Hashes for Jashuprobdistributions1.0.4.tar.gz
Algorithm  Hash digest  

SHA256  5dcd0a60e6cee4098021e9c5beb225abef63a7654efd9b02c082b04c99dd3b7b 

MD5  cb172f31c1ecb4b75ea368a67d802c9d 

BLAKE2256  0b6d2f873ee6cd2f18cbab93145d260d7d62c49157fa9d33afd8fc1fdf730af8 