Metadata-Version: 2.1
Name: FPL_wildcard_team_selector
Version: 1.0.1
Summary: This package selects the best 15 players to choose when playing a wildcard on Fantasy premier league on any given week
Home-page: https://github.com/abdul-gendy/FPL_wildcard_team_selector
Author: Abdulrahman Elgendy
Author-email: Abdul.Elgendy@outlook.com
License: UNKNOWN
Download-URL: https://github.com/abdul-gendy/FPL_wildcard_team_selector/archive/v1.0.1.tar.gz
Description: # FPL wildcard team selector
        
        This package selects the best 15 players to choose when playing a wildcard on Fantasy premier league on any given week
        
          - Selects the best players by analyzing the latest data provided by the fantasy premier league API, and other premier league stats sources
          - creates a visualization of the selected players
          - creates a csv containing detailed stats on all the players available for selection
        
        ### Installation
        
        ##### Option #1: Using pip
        
        You can install the package using pip by running the following:
        
        ```
        pip install FPL-wildcard-team-selector
        ```
        ##### Option #2: Download from source
        
        Download the source code by cloning the [repository](https://github.com/abdul-gendy/FPL_wildcard_team_selector). Install by navigating to the proper directory and running
        ```
        python setup.py install
        ```
        ### Usage
        ##### import the package
        ```
        import FPL_wildcard_team_selector
        ```
        
        ##### call the play_wildcard function
        This function takes in the following 4 arguments: 
        
          - The amount of money that you have available. Check your team value to get an understanding of how much money you have
          - minimum number of minutes that a player needs to have played in the PL this season for him to be considered for selection
          - number of future gameweeks to analyze
          - whether or not you want to account for penalties during the analysis (If False, uses non-penalty stats)
        
        ```
        FPL_wildcard_team_selector.play_wildcard(money_available=103.7, minimum_number_of_minutes_played=700, number_of_future_games_to_analyze=3, account_for_penalties=True)
        ```
        
        ### Sample Output
        
        <img src="test/sample_outputs/Team1.PNG" alt="alt text" width="700" height="700">
        <img src="test/sample_outputs/sample_csv.PNG" alt="alt text" width="1400" height="500">
        
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
