cricsummary 0.0.2

Create summary table and charts from cricsheet data

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!