This code is from rbarton65. Only file created by singichs is collectStats.py
Using ESPN's Fantasy Football private API, this package interfaces with ESPN Fantasy Football to gather data from any public league. A good way to mine data without webscraping for data manipulation projects.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
With pip:
pip3 install espnff
With Git:
git clone https://github.com/rbarton65/espnff
cd espnff
python3 setup.py install
This gives an overview of all the features of espnff
>>> from espnff import League
>>> league_id = 123456
>>> year = 2016
>>> league = League(league_id, year)
>>> league
League 123456, 2016 Season
>>> from espnff import League
>>> league_id = 123456
>>> year = 2016
>>> league = League(league_id, year)
>>> league.teams
[Team(Team 1), Team(Team 2), Team(Team 3), Team(Team 4),
Team(Team 5), Team(Team 6), Team(Team 7), Team(Team 8)]
>>> team1 = league.teams[0]
>>> team1
Team(Team 1)
>>> league.teams
[Team(Team 1), Team(Team 2), Team(Team 3), Team(Team 4),
Team(Team 5), Team(Team 6), Team(Team 7), Team(Team 8)]
>>> team1 = league.teams[0]
>>> team1.team_id
1
>>> team1.team_name
Team 1
>>> team1.team_abbrev
T1
>>> team1.owner
Roger Goodell
>>> team1.division_id
0
>>> team1.division_name
Division 1
>>> team1.wins
5
>>> team1.losses
1
>>> team1.points_for
734.69
>>> team1.points_against
561.15
>>> team1.schedule
[Team(Team 2), Team(Team 3), Team(Team 4), Team(Team 5), Team(Team 6), Team(Team 7), Team(Team 8),
Team(Team 2), Team(Team 3), Team(Team 4), Team(Team 5), Team(Team 6), Team(Team 7), Team(Team 8)
>>> team1.scores
[135.5, 126.38, 129.53, 126.65, 114.81, 101.82, 1.15, 0, 0, 0, 0, 0, 0, 0]
>>> team1.mov
[32.12, 24.92, 45.97, 34.17, 41.74, -5.39, 1.15, 0, 0, 0, 0, 0, 0, 0]
>>> from espnff import League
>>> league_id = 123456
>>> year = 2016
>>> league = League(league_id, year)
>>> settings = league.settings
>>> settings
'Settings(League Name)'
>>> settings.reg_season_count
14
>>> self.final_season_count
16
>>> settings.undroppable_list
true
>>> settings.veto_votes_required
4
>>> settings.team_count
8
>>> settings.playoff_team_count
4
>>> settings.id
123456
>>> settings.keeper_count
3
>>> settings.tie_rule
'Most Bench Points'
>>> settings.playoff_seed_tie_rule
'Head to Head Record'
>>> settings.roster
{'RB/WR/TE': 1, 'BE': 7, 'QB': 1, 'D/ST': 1, 'RB': 2, 'TE': 1, 'K': 1, 'WR': 2}
>>> settings.trade_deadline
2016-11-16T17:00:00.000Z
>>> settings.name
League Name
>>> settings.status
playoffs
>>> settings.year
2016
>>> settings.server_date
2016-12-08T21:06:53.087Z
>>> from espnff import League
>>> league_id = 123456
>>> year = 2016
>>> league = League(league_id, year)
>>> league.power_rankings(week=5)
[('31.85', Team(Team 1)), ('25.60', Team(Team 3)), ('25.60', Team(Team 6)), ('22.45', Team(Team 2)),
('20.70', Team(Team 8)), ('18.20', Team(Team 7)), ('18.20', Team(Team 4)), ('18.10', Team(Team 5))]
>>> from espnff import League
>>> league_id = 123456
>>> year = 2016
>>> league = League(league_id, year)
>>> league.scoreboard() # grab current week
["Matchup(Team(Team 2), Team(Team 7))", "Matchup(Team(Team 1), Team(Team 11))",
"Matchup(Team(Team 6), Team(Team 9))", "Matchup(Team(Team 12), Team(Team 4))",
"Matchup(Team(Team 10), Team(Team 3))", "Matchup(Team(Team 8), Team(Team 5))"]
>>> scoreboard = league.scoreboard(week=12) # define week
>>> scoreboard
["Matchup(Team(Team 2), Team(Team 7))", "Matchup(Team(Team 1), Team(Team 11))",
"Matchup(Team(Team 6), Team(Team 9))", "Matchup(Team(Team 12), Team(Team 4))",
"Matchup(Team(Team 10), Team(Team 3))", "Matchup(Team(Team 8), Team(Team 5))"]
>>> matchup = scoreboard[1]
>>> matchup
"Matchup(Team(Team 1), Team(Team 11))"
>>> matchup.home_team
"Team(Team 1)"
>>> matchup.home_score
7.05
>>> matchup.away_team
"Team(Team 11)"
>>> matchup.away_score
45.85
Automated tests for this package are included in the tests
directory. After installation,
you can run these tests by changing the directory to the espnff
directory and running the following:
python3 setup.py test
This library uses SemVer for versioning. For available versions, see the tags on this repository