Metadata-Version: 2.1
Name: XamPy
Version: 0.1.3.2
Summary: A Data Science Package written in python.
Home-page: UNKNOWN
Author: Max Paul
Author-email: maxkpaul21@gmail.com
License: UNKNOWN
Description: # XamPy
        ## Links
        - [Code of Conduct](https://github.com/XamNalpak/xampy/blob/main/CODE-OF-CONDUCT.md)
        - [Contributing](https://github.com/XamNalpak/xampy/blob/main/CONTRIBUTING.md)
        - [Issues](https://github.com/XamNalpak/xampy/issues)
        - [License](https://github.com/XamNalpak/xampy/blob/main/LICENSE)
        - [Current Functions](https://github.com/XamNalpak/xampy/blob/main/FUNCTIONS.md)
        
        
        
        # _Information_
        
        
        XamPy is a Data Science Package written in Python. 
        ## Features
        
        - Simplifying the process of analyzing data
        - User-Friendly command based sripting package
        
        ## Packages Used
        
        XamPy uses a number of open source projects to work properly:
        
        - Pandas - Data manipulation tool for python
        - Numpy - awesome tool for matrix/array mathmatics
        - MatPlotLib - tool for graphing in python
        - vaderSenitment - tool for senitment anaylsis of social media
        - nltk - natural language processing and text mining
        - textblob - sentiment analysis on a larger size of text
        - datetime for date manipulation
        
        # Installation
        ```
        pip install xampy
        or
        pip3 install xampy
        ```
        
        # Contributors and Contributions
        IF YOU ARE A CONTRIBUTOR AND ARE NOT LISTED PLEASE EMAIL [Max Paul](mailto:maxkpaul21@gmail.com) or submit a new issue.
        
         - Max Paul 
           - Lead Contributor/Founder
           - Bachelor Of Science In Data Science from Bryant Unversity.
           - Software engineer by day for TJX.
        
        # Example Use
        
        ```
        import xampy as xp
        
        # reading data and showing information
        data = xp.makeData('topcsv.csv')
        xp.showInfo(data)
        
        # dropping all the rows that contain nulls get dropped
        data = xp.dropnaDim(data,'row')
        
        #counting missing data to show all values have been dropped
        xp.countMissing(data)
        
        #conducting sentiment analysis on the text data
        data = xp.socialSentiment(data,'Content')
        
        #showing the new dataframe
        data.head(10)
        
        
        
        
        
        ```
        
        ## License
        
        MIT
        
        **Free Software, Hell Yeah!**
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
