pycricketpred

A package for predicting and find interesting cricket related statistics!

Installation

$ pip install pycricketpred

Usage

The pycricketpred package has 4 modules (data_wrangling, data_cleaning, eda and modelling) which perform a wide variety of functions on ball-by-ball cricket data, in the json format.

from pycricketpred.data_wrangling import *
from pycricketpred.data_cleaning import *
from pycricketpred.eda import *
from pycricketpred.modelling import *

# parse through json files in a zipped archive and convert the data into parquet format

process_cricket_jsons('data/t20s_json', 'data/t20s_parquet')

# create majority dtype mapping dictionary and create a dataframe from the mapping

majority_mapping = determine_majority_dtypes(['2203.parquet', '21332.parquet'], 'data/t20s_parquet')
apply_dtypes_and_concatenate(['2203.parquet', '21332.parquet'], 'data/t20s_parquet', majority_mapping)

# create histograms for variable distribution, specifying width and height

vis_bar(cricket_df, 'over', 10, 20)

# Create and save histograms for wicket distribution across categories

hist_chart(cricket_df, 'over', 'chart1.png', 'images/')

and perform a wide range of modelling tasks, including splitting data, preprocessing, and creating and evaluating classification models using a confusion matrix.

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

pycricketpred was created by DSCI 310 Group 11: Alex Lin, Jackson Siemens, Shruti Vijaykumar Seetharam, Hanlin Zhao. It is licensed under the terms of the MIT license.

Credits

pycricketpred was created with cookiecutter and the py-pkgs-cookiecutter template.