Skip to main content

Package for working with NFL data

Project description

nfl_data_py

nfl_data_py is a Python library for interacting with NFL data.

Installation

Use the package manager pip to install nfl_data_py.

pip install nfl_data_py

Usage

import nfl_data_py as nfl

Working with play-by-play data

nfl.import_pbp_data(years, columns)

Returns play-by-play data for the years and columns specified

years : required, list of years to pull data for (earliest available is 1999)

columns : optional, list of columns to pull data for

nfl.see_pbp_cols()

returns list of columns available in play-by-play dataset

Working with weekly data

nfl.import_weekly_data(years, columns)

Returns weekly data for the years and columns specified

years : required, list of years to pull data for (earliest available is 1999)

columns : optional, list of columns to pull data for

nfl.see_weekly_cols()

returns list of columns available in weekly dataset

Working with seasonal data

nfl.import_seasonal_data(years)

Returns seasonal data, including various calculated market share stats

years : required, list of years to pull data for (earliest available is 1999)

Importing roster data

nfl.import_rosters(years, columns)

Returns roster information for years and columns specified

years : required, list of years to pull data for (earliest available is 1999)

columns : optional, list of columns to pull data for

Additional features

nfl.clean_nfl_data(df)

Runs descriptive data (team name, player name, etc.) through various cleaning processes

df : required, dataframe to be cleaned

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nfl_data_py-0.1.2.tar.gz (5.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nfl_data_py-0.1.2-py3-none-any.whl (6.0 kB view details)

Uploaded Python 3

File details

Details for the file nfl_data_py-0.1.2.tar.gz.

File metadata

  • Download URL: nfl_data_py-0.1.2.tar.gz
  • Upload date:
  • Size: 5.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.21.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.10

File hashes

Hashes for nfl_data_py-0.1.2.tar.gz
Algorithm Hash digest
SHA256 5ce24707abd603684e312fc866e2e6d315f22f223c795be8cf11ed64a2d2219f
MD5 58e55ff6911390dd7ab4c5dd4d0b48f0
BLAKE2b-256 3df309605c7c2c1dfe9d24c7f3f25bd896cfbac2c0b5237b89fcfd6fd6cdef54

See more details on using hashes here.

File details

Details for the file nfl_data_py-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: nfl_data_py-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 6.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.21.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.10

File hashes

Hashes for nfl_data_py-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 43e41c247f412a10afe426f7db83f3cc8f743ddb4269250a8d23462f3db9643c
MD5 2947098a56630915cac6e3a4826722a8
BLAKE2b-256 088afda84b5b2006468ad8f38945c32491df3b0916b8ba6e2e8112b68b66647e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page