Metadata-Version: 2.1
Name: std-distributions
Version: 1.1
Summary: Gaussian and Binomial distributions
Home-page: UNKNOWN
Author: Mutahar Majid
Author-email: mutaharmajid243@gmail.com
License: MIT
Description: ## Description:
        
        It's a statistical tool to analyze your dataset using standard distributions such as binomial and gaussian distributions.
        
        ## Features:
        
        - Calculate mean, standard deviation, probability density function(pdf) and plot graphs for a dataset. You can also add distribution objects from different datasets to calculate the same for the resultant distribution.
        - Binomial distribution allows plotting bar graphs for the instance variable and probability density function(pdf). Gaussian distribution uses histograms for the same
        
        ## Installation:
        
        ```python
        pip install std_distributions
        ```
        
        ### Note:
        
        Please install matplotlib to plot graphs,(if not already installed) from [here](https://matplotlib.org/users/installing.html).
        
        ## Example usage
        
        ```python
        
        >>>from std_distributions import Binomial, Gaussian
        '''
        Creating distribution objects
        Sytax:
        binomial_obj = Binomial(probability,size)
        gaussian_obj = Gaussian(mean, standard_deviation) or Gaussian()
        '''
        >>>b1 = Binomial(0.5,22)
        >>>b1
        >>>mean = 11.0, standard deviation = 2.345207879911715, p = 0.5, n = 22b2 = Binomial(0.5,44)
        >>>b_resultant = b1+b2
        >>>b_resultant
        >>>mean = 33.0, standard deviation = 4.06201920231798, p = 0.5, n = 66
        >>>g1 = G()
        >>>g1.read_data_file("numbers.txt")g1.calculate_mean()
        >>>1.8181818181818181g1.calculate_stdev()
        >>>1.8340219092574557
        ```
Platform: UNKNOWN
Description-Content-Type: text/markdown
