Metadata-Version: 2.1
Name: XamPy
Version: 0.1.2
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)
        
        
        # _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
        
        # Installation
        ```
        pip install xampy
        or
        pip3 install xampy
        ```
        # Example Use cases
        ## Reading in data from file path
        ```
        import xampy as xp
        path = 'C:\Users\User\Documents\Data\data.csv'
        
        # using makeData() to read in data
        data = xp.makeData(path)
        
        # quick statistics and summary of the data at hand
        xp.showInfo(data)
        
        # removing white space from column names and insert an underscore
        data = xp.renameCols(data,' ','_')
        
        # splitting the data into numerical and nonnumerical sections
        
        numerical,categorical = xp.dataTypeSplit(data)
        
        
        # Counting nulls in the dataframe, prints the number of missing vals in the DF
        xp.CountMissing(data)
        
        # example column money (float) has missing values
        data = xp.meanFill(data,'money')
        
        # example column Gender (Binary or text) has missing values
        data = xp.modeFill(data,'Gender')
        
        ```
         - eq=equal
         - gte=greater than equal to
         - lte=less than equal to
         - lt = less than
         - gt = greater than
        
        #### FOR STRINGS WE USE 'eq', for any numerical data we can use any comparrison #operator
        ```
        males = xp.SubSetDf(data,'Gender','Male','eq')
        females = xp.SubSetDf(data,'Gender','Female','eq')
        ```
        # 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.
        
        
        ## 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
