Metadata-Version: 2.1
Name: gauss_binom_test
Version: 0.2.3
Summary: Gaussian and Binomial distributions
Home-page: UNKNOWN
Author: ludovico
License: MIT
Description: # Gaussian and Binomial Distributions
        
        A basic package for calculating and visualizing Gaussian and Binomial Distributions.
        This is only a test.
        
        
        # How to install
        
        ```console 
        $ python install gauss-binom-test
        ```
        
        # Features
        
        - Calculate the Gaussian and Binomial pdf of a data set
        - Calculate the mean and standard deviation
        - Calculate the sum of two pdfs
        - Plot the histogram of data points and normalizdd histogram of the pdf
        
        
        
        # Example
        
        Open the Python interpreter:
        
        **Create a standard normalmdistribution (zero mean and standard deviation equal to one)**
        
        ```console
        $ python
        >>> gaussian_normal = Gaussian()
        ```
        
        **Create a Gaussian distribution with mean=5 and stdv=2
        
        ```console
        >>> gaussian_one = Gaussian(5,2)
        ```
        
        **Addition of two Gaussian distributions**
        
        ```console
        >>> gaussian_sum = gaussian_normal + gaussian_one
        ```
        
        **Calculate the probability of a data point for a Gaussian distribution with a given mean and stdv**
        
        ```console
        >>> gaussian_one = Gaussian(5,2)
        >>> gaussian_one.pdf(6)
        ```
        
        **Calculate the mean and standard deviation
        
        ```console
        >>> gaussian_one.mean()
        >>> # sample stdv
        >>> gaussian_one.stdev() 
        >>> # population stdev
        >>> gaussian_one.stdev(sample=False)
        ```
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
