def test_invalid_url_returns_none(self, *args, **kwargs):
mock_id = PropertyMock(return_value='BAD')
player = Player(None)
type(player)._player_id = mock_id
result = player._retrieve_html_page()
assert result is None
def test_missing_weight_returns_none(self, *args, **kwargs):
mock_weight = PropertyMock(return_value=None)
player = Player(None)
type(player)._player_id = mock_weight
result = player.weight
assert result is None
def test_attempted_passes_has_deprecation_warning(self, *args, **kwargs):
mock_passes = PropertyMock(return_value=[32])
mock_index = PropertyMock(return_value=0)
player = Player(None)
type(player)._pass_attempts = mock_passes
type(player)._index = mock_index
with pytest.deprecated_call():
result = player.attempted_passes
assert result == 32
def test_ncaaf_kicker_returns_expected_kicking_stats(self):
stats = {
'extra_points_made': 91,
'extra_points_attempted': 92,
'extra_point_percentage': 98.9,
'field_goals_made': 33,
'field_goals_attempted': 45,
'field_goal_percentage': 73.3,
}
player = Player('jd-dillinger-1')
assert player.name == 'J.D. Dillinger'
for attribute, value in stats.items():
assert getattr(player, attribute) == value
def setup_method(self, *args, **kwargs):
self.results_career = {
'adjusted_yards_per_attempt': 6.1,
'assists_on_tackles': 1,
'attempted_passes': 1118,
'completed_passes': 669,
'extra_points_made': 0,
'field_goals_made': 0,
'fumbles_forced': 0,
'fumbles_recovered': 0,
'fumbles_recovered_for_touchdown': None,
'games': None,
'height': '6-1',
'interceptions': 0,
'interceptions_returned_for_touchdown': 0,
'interceptions_thrown': 34,
'kickoff_return_touchdowns': 0,
'name': 'David Blough',
'other_touchdowns': None,
'passes_defended': 0,
'passing_completion': 59.8,
'passing_touchdowns': 51,
'passing_yards_per_attempt': 6.6,
'player_id': 'david-blough-1',
'plays_from_scrimmage': 222,
'points': 72,
'position': 'QB',
'punt_return_touchdowns': 0,
'quarterback_rating': 124.0,
'receiving_touchdowns': 0,
'receiving_yards': 41,
'receiving_yards_per_reception': 13.7,
'receptions': 3,
'rush_attempts': 219,
'rush_touchdowns': 12,
'rush_yards': 275,
'rush_yards_per_attempt': 1.3,
'rushing_and_receiving_touchdowns': 12,
'sacks': 0.0,
'safeties': None,
'season': 'Career',
'solo_tackles': 1,
'tackles_for_loss': 0.0,
'team_abbreviation': 'Purdue',
'total_tackles': 2,
'total_touchdowns': 12,
'two_point_conversions': None,
'weight': 205,
'yards_from_scrimmage': 316,
'yards_from_scrimmage_per_play': 1.4,
'yards_recovered_from_fumble': None,
'yards_returned_from_interceptions': 0,
'yards_returned_per_interception': None,
'year': ''
}
self.results_2017 = {
'adjusted_yards_per_attempt': 7.0,
'assists_on_tackles': 1,
'attempted_passes': 157,
'completed_passes': 102,
'extra_points_made': 0,
'field_goals_made': 0,
'fumbles_forced': 0,
'fumbles_recovered': 0,
'fumbles_recovered_for_touchdown': None,
'games': 9,
'height': '6-1',
'interceptions': 0,
'interceptions_returned_for_touchdown': 0,
'interceptions_thrown': 4,
'kickoff_return_touchdowns': 0,
'name': 'David Blough',
'other_touchdowns': None,
'passes_defended': 0,
'passing_completion': 65.0,
'passing_touchdowns': 9,
'passing_yards_per_attempt': 7.0,
'player_id': 'david-blough-1',
'plays_from_scrimmage': 43,
'points': 12,
'position': 'QB',
'punt_return_touchdowns': 0,
'quarterback_rating': 137.8,
'receiving_touchdowns': 0,
'receiving_yards': 24,
'receiving_yards_per_reception': 24.0,
'receptions': 1,
'rush_attempts': 42,
'rush_touchdowns': 2,
'rush_yards': 103,
'rush_yards_per_attempt': 2.5,
'rushing_and_receiving_touchdowns': 2,
'sacks': 0.0,
'safeties': None,
'season': '2017',
'solo_tackles': 0,
'tackles_for_loss': 0.0,
'team_abbreviation': 'Purdue',
'total_tackles': 1,
'total_touchdowns': 2,
'two_point_conversions': None,
'weight': 205,
'yards_from_scrimmage': 127,
'yards_from_scrimmage_per_play': 3.0,
'yards_recovered_from_fumble': None,
'yards_returned_from_interceptions': 0,
'yards_returned_per_interception': None,
'year': 'JR'
}
self.player = Player('david-blough-1')
def test_ncaaf_404_returns_none_for_different_season(self):
player = Player('bad')
player = player('2017')
assert player.name is None
assert player.dataframe is None
def test_ncaaf_404_returns_none_with_no_errors(self):
player = Player('bad')
assert player.name is None
assert player.dataframe is None
def test_ncaaf_tight_end_skips_passing_without_errors(self):
player = Player('brycen-hopkins-1')
assert player.name == 'Brycen Hopkins'
assert player.dataframe is not None
from sportsreference.ncaaf.roster import Player
import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt
#Create each player based on the player class through each Player's player_id
TLawrence = Player('trevor-lawrence-1')
JFields = Player('justin-fields-2')
SEhlinger = Player('sam-ehlinger-1')
SHowell = Player('sam-howell-1')
JDaniels = Player('jayden-daniels-1')
#Set the previous season (This can be adjusted to current season while in mid season)
TLawrence('2019')
JFields('2019')
SEhlinger('2019')
SHowell('2019')
JDaniels('2019')
#Calculate the players touchdown efficiency rate
TLawTDperPA = float(TLawrence.passing_touchdowns)/float(TLawrence.attempted_passes)
JFieTDperPA = float(JFields.passing_touchdowns)/float(JFields.attempted_passes)
SEhlTDperPA = float(SEhlinger.passing_touchdowns)/float(SEhlinger.attempted_passes)
SHowTDperPA = float(SHowell.passing_touchdowns)/float(SHowell.attempted_passes)
JDanTDperPA = float(JDaniels.passing_touchdowns)/float(JDaniels.attempted_passes)
#Display the Players and their stats
print ("Player Name| Touchdowns | Pass attempts | Touchdown per Pass attempt")
print(TLawrence.name, TLawrence.passing_touchdowns, TLawrence.attempted_passes, "{:10.4f}".format(TLawTDperPA))
from sportsreference.ncaaf.roster import Player
import pandas
#dataframe that stores info from csv file
df = pandas.read_csv('../data/all_qb_names.csv')
for index, row in df.iterrows():
num = 1
name = (row['Name'])
#string manipulation
name = name.lower()
name = name.replace(" ", "-")
name = name + "-" + str(num)
player = Player(name)
while True:
try:
if (player.position == "QB"):
#write player to csv file
player.dataframe.to_csv("dataFolder/NCAA_player_csv/" + player.name + ".csv")
print("wriiten")
break
else:
num = num + 1
name = (row['Name'])
# string manipulation
name = name.lower()
name = name.replace(" ", "-")
name = name + "-" + str(num)
player = Player(name)
except:
print("Player does not have dataFrame")