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 espnffWith Git:
git clone https://github.com/rbarton65/espnff
cd espnff
python3 setup.py installThis 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 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
45.85Automated 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 testThis library uses SemVer for versioning. For available versions,
see the