cricsummary

cricsummary is built for performing cricket analysis on data provided by cricsheet.org. by converting the data in DataFrames or csv files that are better suited for analysis.

• Convert json file to csv.
• Creates DataFrames team-wise.
• Vizualise or Perform your own transformations/analysis on the DataFrames.
• Save the converted file (json to csv)
• Plot Manhattan and Worm charts

This is a useful tool to get started with cricket analysis.

Installation

cricsummary requires python 3.5+ to run.

$ pip install cricsummary

How to Use

Download the data from cricsheet Use the txt file in downloaded folder to check name of the match you want to analyse

>>> from cricsummary import Duranz


>>> match = Duranz('12345.json')


### BUILT IN METHODS FOR ANAYSIS

# team parameter represent innings, team=1 for data of team batted in 1st inning 
>>> match.scorecard(team=1) 

>>> match.plot_worm() 

>>> match.plot_manhattan(team=2)

>>> match.match_info()

>>> match.extras(team=1)

>>> match.fall_of_wickets(team=2)

Do your Analysis

• Access separate DataFrames of teams and do your Operations/Analysis

# returns dict of dataframe where keys are team name with _<innings> suffix 
match = Duranz('123.json')
>>> df_dict = match.teams_df

### CONVERT JSON TO CSV 
>>> from cricsummary import json_to_csv

# this will save the files of the innings <teamname>_<innings>.csv
>>> json_to_csv('123.json', output_file=True)

Development

Want to contribute? Great! pull request on https://github.com/KunalDuran/cricsummary

License

MIT