GithubHelp home page GithubHelp logo

ncaadb's Introduction

ncaadb

Ncaadb is a Python package created for the handling of DB save files from EA Sports NCAA games.

Installation

Ncaadb is published to PyPI and is available using pip or any other Python package manager.

pip install ncaadb

Usage

The data from a DB file is loaded into a File by opening a file stream and sending it into the read_db function.

import ncaadb

with open("saves/USR-DATA", "rb") as f:
    db_data = ncaadb.read_db(f)

The contents of a table can then be accessed using the indexer operator, [], and the table's name as the index. This will return the tabular data as a pandas.DataFrame. The tabular data can be set using the same method.

player_data = db_data["PLAY"]
modified_player_data = player_data.replace(0, 1)
db_data["PLAY"] = modified_player_data

ncaadb's People

Contributors

hansmissenheim avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.