Metadata-Version: 2.1
Name: cricsummary
Version: 0.0.2
Summary: Create summary table and charts from cricsheet data
Home-page: https://github.com/KunalDuran/cricsummary
Author: Kunal Duran
Author-email: kunalduran13@gmail.com
License: MIT
Description: # cricsummary
        
        
        cricsummary is built for performing cricket analysis on data provided by cricsheet.org. 
        
          - Convert yaml file to csv
          - Creates Separate DataFrame for Team1 and Team2 
          - Vizualise or Perform your own transformations on the DataFrames
        
        
        You can also:
          - Save the converted file (yaml to csv)
          - Plot Manhattan and Worm charts
          - Export documents as HTML(in next release)
        
        It was created for cricket lovers to get insights from the data in an easy manner.
        
        > This is a useful tool for performing quick cricket analysis.
        
        ### Installation
        
        cricsummary requires python 3.5+ to run.
        
        ```
        $ pip install cricsummary
        ```
        
        ### Development
        
        Want to contribute? Great!
        
        ### How to Use 
        ```
        >>> from cricsummary import Duranz
        >>> match = Duranz('file.yaml')
        >>> match.summary(team=1) # Summary table of team1, 2 for team2
        >>> match.plot_worm() # Worm plot 
        >>> match.plot_manhattan(team=2) # manhattan of team2 
        ```
        
        ### Do your Analysis
         - Access separate DataFrames of teams in Jupyter notebook and do your Operations/Analysis
        ```
        df, df2 = match.team1_df, match.team2_df 
        ```
        
        License
        ----
        
        MIT
        
        
        **Free Software, Hell Yeah!**
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.5
Description-Content-Type: text/markdown
