mncaa

The Massey library provides scraping and parsing functionality for the Massey Ratings NCAA men's basketball datasets.

Usage

For a full usage example, see ncaa_predictor.py.

Typical usage:

# Create the library instance
mcsv = MNCAA()

# Grab all massey data from 2000-2013
mcsv.download_massey_csvs()

# Create a list of all games during the downloaded times
gamelist = mcsv.create_game_list()

Each game in the above gamelist will be a dict with the following keys:

• date: The date that the game was played on.
• team1_name: The name of the winning team
• team2_name: The name of the losing team
• team1_score: The score of the winning team
• team2_score: The score of the losing team
• hometeam: Which team was home (1 or 2, 0 for neither)

Creating a pandas dataframe for manipulation is easy:

gameframe = pandas.DataFrame(gamelist)

Requirements

• pandas (for sample app only)

Licensed under the GPL Happy Hacking