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-0.0.3.tar.gz (5.5 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-0.0.3-py3-none-any.whl (6.5 kB view details)

Uploaded Python 3

File details

Details for the file nfl_data_py-0.0.3.tar.gz.

File metadata

  • Download URL: nfl_data_py-0.0.3.tar.gz
  • Upload date:
  • Size: 5.5 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-0.0.3.tar.gz
Algorithm Hash digest
SHA256 6cba7a68e84ca6d02d7f1455ddee8e0867dc1ac765c7c9f5cbff11f726c2e52a
MD5 4aee794a3427129d071d04e42cdac011
BLAKE2b-256 95d5e61f08b65bd0eb304cf73f6da4282b6e39fca356bd4dcbaf5adbe153dd76

See more details on using hashes here.

File details

Details for the file nfl_data_py-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: nfl_data_py-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 6.5 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-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 ed4b320304a6637c502061b17e4cf6cf5f85d03c32a8af2dbf3a1fcefaf88ca3
MD5 137b9ed4cafbe723971ecf99efb109a0
BLAKE2b-256 7a6fe545fcdba4aeac7460013a0dd36f7451bc23584f85e974e8f252e180535e

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