/mlbgame

A Python API to retrieve and read MLB GameDay data

Primary LanguagePythonMIT LicenseMIT

mlbgame

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mlbgame is a Python API to retrieve and read MLB GameDay data. mlbgame works with real time data, getting information as games are being played.

mlbgame uses the same data that MLB GameDay uses, and therefore is updated as soon as something happens in a game.

mlbgame documentation

mlbgame on Github (Source Code)

If you have a question or need help, the quickest way to get a response is to file an issue on the Github issue tracker

mlbgame's submodules should not really be used other than as used by the main functions of the package (in __init__.py).

Use of mlbgame must follow the terms stated in the license and on mlb.com.

Installation

mlbgame is in the Python Package Index (PyPI). Installing with pip is recommended for all systems.

mlbgame can be installed by running:

pip install mlbgame

Alternatively, the latest release of mlbgame can be downloaded as a zip or tarball. If you do not install with pip, you must also install lxml as specified in setup.py.

If you want to help develop mlbgame, you must also install the dev dependencies, which can be done by running pip install -e .[dev] from within the directory.

Examples

Here is a quick teaser to find the scores of all home Mets games for the month of June, 2015:

from __future__ import print_function
import mlbgame

month = mlbgame.games(2015, 6, home='Mets')
games = mlbgame.combine_games(month)
for game in games:
    print(game)

And the output is:

Giants (5) at Mets (0)
Giants (8) at Mets (5)
Giants (4) at Mets (5)
Braves (3) at Mets (5)
Braves (5) at Mets (3)
Braves (8) at Mets (10)
Blue Jays (3) at Mets (4)
Blue Jays (2) at Mets (3)
Reds (1) at Mets (2)
Reds (1) at Mets (2)
Reds (1) at Mets (2)
Reds (2) at Mets (7)
Cubs (1) at Mets (0)

Maybe you want to know the pitchers for the Royals game on April 30th, 2015:

from __future__ import print_function
import mlbgame

day = mlbgame.day(2015, 4, 12, home='Royals', away='Royals')
game = day[0]
output = 'Winning pitcher: %s (%s) - Losing Pitcher: %s (%s)'
print(output % (game.w_pitcher, game.w_team, game.l_pitcher, game.l_team))

And the output is:

Winning pitcher: Y. Ventura (Royals) - Losing Pitcher: C. Wilson (Angels)

You can easily find stats for the Mets batters in the final game of the 2015 World Series:

from __future__ import print_function
import mlbgame

game = mlbgame.day(2015, 11, 1, home='Mets')[0]
stats = mlbgame.player_stats(game.game_id)
for player in stats['home_batting']:
    print(player)

And the output is:

Curtis Granderson - 1 for 4 with 1 RBI and 1 Home Runs
David Wright - 1 for 5
Daniel Murphy - 0 for 3
Yoenis Cespedes - 0 for 3
Juan Lagares - 0 for 2
Lucas Duda - 0 for 2 with 1 RBI
Travis d'Arnaud - 0 for 5
Michael Conforto - 2 for 5
Wilmer Flores - 0 for 4
Matt Harvey - 0 for 3
Jeurys Familia - 0 for 0
Kelly Johnson - 0 for 1
Jon Niese - 0 for 0
Addison Reed - 0 for 0
Bartolo Colon - 0 for 0