Metadata-Version: 2.1
Name: pertdist
Version: 0.1.1
Summary: A scipy-like implementation of the PERT distribution
Home-page: https://github.com/Calvinxc1/PertDist
Author: Jason M. Cherry
Author-email: jcherry@gmail.com
License: UNKNOWN
Description: # PertDist
        A scipy-like implementation of the [PERT distribution](https://en.wikipedia.org/wiki/PERT_distribution).
        
        ## Motivation
        In my current job I work a fair amount with the PERT (also known as Beta-PERT) distribution, but there's currently no implementation of this in scipy. To make up the deficency I crafted up my own PERT distribution class, leveraging numpy and scipy to properly flesh out the functionality. The API is heavily modeled after the scipy.stats methods API's.
        
        ## Build Status
        TODO: when I figure out how in blazes to add these ;-)
        
        ## Installation
        Installation is straightforward: `pip install pertdist`
        
        ## Code Example
        Usage is very similar to what you would find in a scipy.stats class as well:
        
        ```
        from pert import PERT
        import seaborn as sns
        
        pert = PERT(10, 190, 200)
        sns.kdeplot(pert.rvs(10000))
        ```
        
        On running this you should see a chart of a heavily low/left skewed distribution (recommended running in Jupyter or Spyder).
        
        ## Roadmap
        * Develop unit tests
            - Especially around flexible identification of various data types, eg: accepting DataFrames, Series, lists, etc.
        * Build out the following scipy function analogues:
            - sf
            - logsf
            - ppf
            - isf
            - moment
            - entropy
            - fit
            - expect
            - median
            - mean
            - var
            - std
            - stats (implemented, but needs refinement)
            
        A version history is located [here](https://github.com/Calvinxc1/PertDist/blob/master/VersionHistory.md)
        
        ## Contributing
        Since this is my first published project, I'm pretty relaxed about contributions. Feel free to send me a pull request with any updates/changes/etc you have in mind!
        
        Note that I do follow [Vincent Driessen's Git Branching Model](https://nvie.com/posts/a-successful-git-branching-model/) rather rigorously. If you do contribute, it'll most likely be pulled into the `develop` branch.
        
        Also, I'm rather fond of [Semantic Commit Messages](https://seesparkbox.com/foundry/semantic_commit_messages), but I'm only picky about those for my own contributions, feel free to use wahtever commit message style you'd like.
        
        ## License
        This project uses the [GNU General Public License](https://github.com/Calvinxc1/PertDist/blob/master/LICENSE).
        
        Short version: Have fun and use it for whatever, just make sure to attribute me for it (-:
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 2 - Pre-Alpha
Requires-Python: >=3.6
Description-Content-Type: text/markdown
