ochawkeye

import nfldb

db = nfldb.connect()
q = nfldb.Query(db)

q.game(season_year=2016, week=6)

for game in q.as_games():
    print game
    print game.winner, game.loser

ochawkeye

import nflgame

games = nflgame.games(year=2016, kind='REG')
for game in games:
    print game

"""
CAR (20) at DEN (21)
TB (31) at ATL (24)
BUF (7) at BAL (13)

ochawkeye

"""Display a chart of games that have and have not yet been played for a given week."""

import nflgame

def started_ticker(game):
    print '{}\t{}\t\t{}'.format(game.away, game.score_away, game.time)
    print '{}\t{}'.format(game.home, game.score_home)
    print '-'*25

def unstarted_ticker(game):

ochawkeye

c:\Python27\Scripts>python nfldb-update
-------------------------------------------------------------------------------
STARTING NFLDB UPDATE AT 2014-01-06 14:28:44.339000
Connecting to nfldb... done.
Setting timezone to UTC... done.
Updating player JSON database... (last update was 2014-01-04 03:55:54.395000+00:
00)
Loading games for POST 2013 week 19
Traceback (most recent call last):
  File "c:\Python27\lib\runpy.py", line 162, in _run_module_as_main

ochawkeye

games = nflgame.games(year, week=week, kind=season_type)
kick_returns, punt_returns = [], []
plays = nflgame.combine_plays(games)
playsKR = plays.filter(kickret_ret__ge=1)
for player in playsKR.players():
    kick_returns.append([
        str(player)+', '+player.team,
        player.kickret_ret,
        player.kickret_yds,
        player.kickret_tds])

ochawkeye

import nflgame

year = 2014
games = nflgame.games(year)

players = nflgame.combine(games)
positions = set([p.player.position for p in players if p.player.position])

# Sets up some empty dictionaries for each team to hold all of the positions
teams = nflgame.teams

ochawkeye

import nfldb

db = nfldb.connect()
q = nfldb.Query(db)

q.game(season_year=2015,  season_type='Regular', team='NE',)
print len(q.as_drives())

q.drive(pos_team='NE')
print len(q.as_drives())

ochawkeye

import nfldb
db = nfldb.connect()
q = nfldb.Query(db)

team = 'MIN'

def redzone(field):
    cutoff = nfldb.FieldPosition.from_str(field)
    return lambda play: play.yardline >= cutoff

ochawkeye

import nfldb
db = nfldb.connect()
q = nfldb.Query(db)

q.game(season_year=2015)
q.player(full_name='Tom Brady')
q.play(offense_tds=1)

def redzone(field):
    cutoff = nfldb.FieldPosition.from_str(field)

ochawkeye

import nfldb
db = nfldb.connect()
q = nfldb.Query(db)

q.game(season_year=2015, week=7, team='MIN')

def redzone(field):
    cutoff = nfldb.FieldPosition.from_str(field)
    return lambda play: play.yardline >= cutoff