cricsummary 2.0.2

Perform Analysis, Create summary table and charts from cricsheet data

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