def __processSeasonData(self, seasonStart, seasonEnd):
from Season import Season
seasonData = self.__showData[seasonStart : seasonEnd]
season = Season(self.__showName, seasonData)
self.__seasons[season.getSeasonNumber()] = season
def test_construct_global_features(self):
season = Season(2013)
construct_global_features(season)
self.assertEqual(1, 1)
def test_all_player_features(self):
season = Season(2013)
all_players = players.find({}).sort('id', pymongo.ASCENDING)
offensive_features = []
defensive_features = []
for player_data in all_players:
player = Player(player_data['id'])
print 'Extracting offensive features for {} from the {}'.format(player, season)
o_features = player_ocluster_features(player, season)
print 'Extracting defensive features for {} from the {}'.format(player, season)
d_features = player_dcluster_features(player, season)
offensive_features.append(o_features)
defensive_features.append(d_features)
offensive_features = np.array(offensive_features)
defensive_features = np.array(defensive_features)
o_features_file = os.path.join('season_data', '2013', 'player_offense_features.csv')
d_features_file = os.path.join('season_data', '2013', 'player_defense_features.csv')
o_header = 'id,ast_pct,ts_pct,orb_pct,usg,ortg,mp_pct'
d_header = 'id,blk_pct,stl_pct,drb_pct,drtg,pf_pct,mp_pct'
np.savetxt(o_features_file, offensive_features, delimiter=',', header=o_header)
np.savetxt(d_features_file, defensive_features, delimiter=',', header=d_header)
self.assertTrue(os.path.exists(o_features_file))
self.assertTrue(os.path.exists(d_features_file))
def test_player_dcluster_features(self):
season = Season(2013)
player = Player(399725)
features = player_dcluster_features(player, season)
print features
self.assertEqual(1, 1)
def test_player_multi_game_plot(self):
player1 = Player(399725)
season = Season(2013)
player1.multi_game_shot_chart(season.games)
self.assertEqual(1, 1)
def test_team_dcluster_features(self):
season = Season(2013)
team = Team(12)
features = team_dcluster_features(team, season)
print features
self.assertEqual(1, 1)
class XBS:
def __init__(self):
self.Config = Config()
self.Roster = Roster()
self.Season = Season()
def GetTeams(self):
self.League.GetAllTeams(self.URL_team)
def GetSeason(self):
self.Season.GetAllGames(self.URL_game)
class SeasonTest(TestCase):
def setUp(self):
self.season = Season(2013)
def test_season_init(self):
self.assertEqual(self.season.season, '2013-2014 NBA Season')
self.assertEqual(self.season.start_date, dt.datetime(2013, 10, 29, 19, 30))
self.assertEqual(self.season.end_date, dt.datetime(2014, 4, 15, 20, 0))
def test_ortg_drtg(self):
team = Team(6)
drtg = self.season.drtg(team)
ortg = self.season.ortg(team)
print ortg, drtg
self.assertAlmostEqual(ortg, 111.8, delta=0.5)
self.assertAlmostEqual(drtg, 109.2, delta=0.5)
def test_all_player_features(self):
season = Season(2013)
all_players = players.find({}).sort('id', pymongo.ASCENDING)
offensive_features = []
for player_data in all_players:
player = Player(player_data['id'])
print 'Extracting offensive features for {} from the {}'.format(player, season)
features = player_ocluster_features(player, season)
offensive_features.append(features)
offensive_features = np.array(offensive_features)
def test_player_ocluster_features(self):
season = Season(2013)
player = Player(399725)
features = player_ocluster_features(player, season)
self.assertEqual(len(features), 7)
self.assertEqual(int(features[0]), 399725)
self.assertAlmostEqual(round(features[1], 2), 19.2, delta=0.05)
self.assertAlmostEqual(round(features[2], 3), 0.583, delta=0.05)
self.assertAlmostEqual(round(features[3], 2), 7.7, delta=0.05)
self.assertAlmostEqual(round(features[4], 2), 29.0, delta=0.5)
self.assertAlmostEqual(round(features[5], 2), 114, delta=0.5)
def calc_all_player_times(year, recompute=False):
class TimeComputationError(Exception):
def __init__(self, msg):
self.msg = msg
def __str__(self):
return self.msg
all_players = players.find({}).sort('id', pymongo.ASCENDING)
print('Loading the {}-{} NBA season'.format(year, year + 1))
season = Season(year)
print('Loaded season')
print('Computing time on court for all players in all games...')
for player_data in all_players:
player = Player(player_data['id'])
games_played = season.get_player_games_in_range(player)
for game in games_played:
print('Calculating time on court for {} ({}) in {} ({})'.format(player, player.id, game, game.id))
boxscore_minutes = game.player_boxscore(player)['totalSecondsPlayed'] / 60.0
if boxscore_minutes > 0:
time_on_court = player.time_on_court(game, recompute=recompute)
computed_minutes = compute_ts_length(time_on_court, unit='minutes')
else:
# there's never anything to calculate anyway
computed_minutes = 0
if not abs(computed_minutes - boxscore_minutes) <= 0.5:
print('In computing playing time for {} ({}) in {} ({}):'.format(player, player.id, game, game.id),
file=sys.stderr)
print('Discrepancy between computed time: {0:2.2f}, and boxscore time: {1:2.2f}'.format(computed_minutes, boxscore_minutes),
file=sys.stderr)
#raise TimeComputationError('Discrepancy between computed time: {}, and boxscore time: {}'.format(computed_minutes, boxscore_minutes)
else:
print('{} played {} minutes in {}'.format(player, round(computed_minutes, 3), game))
def test_features():
season = Season(2013)
player = Player(399725)
features = player_ocluster_features(player, season)
def __init__(self):
self.Config = Config()
self.Roster = Roster()
self.Season = Season()
spam_reader = csv.DictReader(user_file)
for row in spam_reader:
name = row.get('name')
district = row.get('district')
mother = row.get('mothers name')
father = row.get('fathers name')
registration = row.get('date registered')
actor = Character(name, mother, father, district, registration)
characters.append(actor)
# Store a dictionary containing SeasonS objects with key season number
seasons = {}
with open('episode_per_season.csv') as appearance_file:
spam_reader = csv.DictReader(appearance_file)
for row in spam_reader:
season = Season(int(row.get('season')))
seasons[int(row.get('season'))] = season
# Store characters information per season
with open('episode_per_season.csv') as appearance_file:
spam_reader = csv.DictReader(appearance_file)
for row in spam_reader:
user = row.get('user')
episodes = row.get('no of episodes')
died = row.get('died in this season')
character = SeasonCharacter(user, episodes, died)
seasons[int(row.get('season'))].characters()[user] = character
html = "<!DOCTYPE html><html><head lang=\"en\"><meta charset=\"UTF-8\"><title>GOT Character Profile</title><style>" \
"table, th, td {border: 1px solid black;}</style></head><body><h1>GOT Character " \
"Profiles</h1><table><tr><th>Name</th><th>District</th><" \
def RetrieveSeason(self, Year):
try:
url = self.__baseURL + '/years/' + str(Year) + '/games.htm'
page = requests.get(url).text
soup = BeautifulSoup(page, 'html.parser')
fullTable = soup.find_all('tbody')
homeWins = 0
awayWins = 0
gameWeeks = []
for i in range(1, 17):
gameWeeks.append(Week(str(i), []))
gameWeeks.append(Week('WildCard', []))
gameWeeks.append(Week('Division', []))
gameWeeks.append(Week('ConfChamp', []))
gameWeeks.append(Week('SuperBowl', []))
for content in fullTable[0].contents:
if type(content) == NavigableString:
continue
else:
# Home Team Won
if content.contents[5].text == '':
if content.contents[2].text == "Playoffs" or content.contents[2].text == "Date":
continue
homeTeam = self.__findTeam(content.contents[4].text)
homeScore = content.contents[8].text
awayTeam = self.__findTeam(content.contents[6].text)
awayScore = content.contents[9].text
boxscoreURL = self.__baseURL + content.contents[7].contents[0].attrs['href']
dateOfGame = self.__findTimeOfGame(Year, content.contents[2].text, content.contents[3].text)
weekOfGame = content.contents[0].text
homeWins += 1
#Away Team won
elif content.contents[5].text == '@':
homeTeam = self.__findTeam(content.contents[6].text)
homeScore = content.contents[9].text
awayTeam = self.__findTeam(content.contents[4].text)
awayScore = content.contents[8].text
boxscoreURL = self.__baseURL + content.contents[7].contents[0].attrs['href']
dateOfGame = self.__findTimeOfGame(Year, content.contents[2].text, content.contents[3].text)
weekOfGame = content.contents[0].text
awayWins += 1
#Superbowl
elif content.contents[5].text == 'N':
homeTeam = self.__findTeam(content.contents[4].text)
homeScore = content.contents[8].text
awayTeam = self.__findTeam(content.contents[6].text)
awayScore = content.contents[9].text
boxscoreURL = self.__baseURL + content.contents[7].contents[0].attrs['href']
dateOfGame = self.__findTimeOfGame(Year, content.contents[2].text, content.contents[3].text)
weekOfGame = content.contents[0].text
else:
continue
for week in gameWeeks:
if week.Week == weekOfGame:
week.Matches.append(Match(homeTeam, homeScore, awayTeam, awayScore, boxscoreURL, dateOfGame))
break
season = Season(Year, gameWeeks, homeWins, awayWins)
except Exception as e:
print(e)
season = None
finally:
return season
spam_reader = csv.DictReader(user_file)
for row in spam_reader:
name = row.get('name')
district = row.get('district')
mother = row.get('mothers name')
father = row.get('fathers name')
registration = row.get('date registered')
actor = Character(name, mother, father, district, registration)
characters.append(actor)
# Store a dictionary containing Season objects with key season number
seasons = {}
with open('episode_per_season.csv') as appearance_file:
spam_reader = csv.DictReader(appearance_file)
for row in spam_reader:
season = Season(int(row.get('season')))
seasons[int(row.get('season'))] = season
# Store character information per season
with open('episode_per_season.csv') as appearance_file:
spam_reader = csv.DictReader(appearance_file)
for row in spam_reader:
user = row.get('user')
episodes = row.get('no of episodes')
died = row.get('died in this season')
character = SeasonCharacter(user, episodes, died)
seasons[int(row.get('season'))].characters()[user] = character
html = "<!DOCTYPE html><html><head lang=\"en\"><meta charset=\"UTF-8\"><title>GOT Character Profile</title><style>" \
"table, th, td {border: 1px solid black;}</style></head><body><h1>GOT Character " \
"Profiles</h1><table><tr><th>Name</th><th>District</th><" \
def modify_doc(doc):
TOOLS = "pan,wheel_zoom,box_zoom,reset,save"
season = Season()
seasons_1990_on = season.seasons_1990_on
source = ColumnDataSource(
data={
"x_3p": seasons_1990_on["3PA"],
"y_3p": seasons_1990_on["3P"],
"Tm": seasons_1990_on["Tm"],
"x_2p": seasons_1990_on["2PA"],
"y_2p": seasons_1990_on["2P"],
"Year": seasons_1990_on["Year"],
"Player": seasons_1990_on["Player"],
}
)
slider = Slider(title="Year", start=1990, end=2017, step=1, value=2006)
menu_options_list = ["ALL"] + seasons_1990_on["Tm"].unique().tolist()
menu = Select(options=menu_options_list, value="ALL", title="Team")
palette = season.get_palette()
color_mapper = CategoricalColorMapper(
factors=seasons_1990_on["Tm"].unique().tolist(),
palette=palette
)
TOOLS = "pan,wheel_zoom,box_zoom,reset,save"
p1 = figure(
x_axis_label="3 Points Attempted",
y_axis_label="3 Points Made",
tools=TOOLS
)
p2 = figure(
x_axis_label="2 Points Attempted",
y_axis_label="2 Points Made",
tools=TOOLS
)
###################
p1.circle(
"x_3p",
"y_3p",
source=source,
alpha=0.8,
nonselection_alpha=0.1,
color=dict(field="Tm", transform=color_mapper),
legend="Tm",
)
p1.legend.location = "bottom_right"
####################
####################
p2.circle(
"x_2p",
"y_2p",
source=source,
alpha=0.8,
nonselection_alpha=0.1,
color=dict(field="Tm", transform=color_mapper),
legend="Tm",
)
p2.legend.location = "bottom_right"
#######################
hover1 = HoverTool(tooltips=[("Player", "@Player"), ("3 Pointers Attempted", "@y_3p")])
p1.add_tools(hover1)
hover2 = HoverTool(tooltips=[("Player", "@Player")])
p2.add_tools(hover2)
column1 = column(widgetbox(menu), widgetbox(slider))
layout = row(column1, p1, p2)
doc.add_root(layout)
def callback(attr, old, new):
if menu.value == "ALL":
new_x_3p = seasons_1990_on[(seasons_1990_on["Year"] == slider.value)]["3PA"]
new_y_3p = seasons_1990_on[(seasons_1990_on["Year"] == slider.value)]["3P"]
new_tm = seasons_1990_on[(seasons_1990_on["Year"] == slider.value)]["Tm"]
new_x_2p = seasons_1990_on[(seasons_1990_on["Year"] == slider.value)]["2PA"]
new_y_2p = seasons_1990_on[(seasons_1990_on["Year"] == slider.value)]["2P"]
new_year = seasons_1990_on[(seasons_1990_on["Year"] == slider.value)][
"Year"
]
new_player = seasons_1990_on[(seasons_1990_on["Year"] == slider.value)][
"Player"
]
else:
new_x_3p = seasons_1990_on[(seasons_1990_on["Year"] == slider.value)]["3PA"]
new_y_3p = seasons_1990_on[
(seasons_1990_on["Year"] == slider.value)
& (seasons_1990_on["Tm"] == menu.value)
]["3P"]
new_tm = seasons_1990_on[
(seasons_1990_on["Year"] == slider.value)
& (seasons_1990_on["Tm"] == menu.value)
]["Tm"]
new_x_2p = seasons_1990_on[
(seasons_1990_on["Year"] == slider.value)
& (seasons_1990_on["Tm"] == menu.value)
]["2PA"]
new_y_2p = seasons_1990_on[
(seasons_1990_on["Year"] == slider.value)
& (seasons_1990_on["Tm"] == menu.value)
]["2P"]
new_year = seasons_1990_on[
(seasons_1990_on["Year"] == slider.value)
& (seasons_1990_on["Tm"] == menu.value)
]["Year"]
new_player = seasons_1990_on[
(seasons_1990_on["Year"] == slider.value)
& (seasons_1990_on["Tm"] == menu.value)
]["Player"]
source.data = {
"x_3p": new_x_3p,
"y_3p": new_y_3p,
"Tm": new_tm,
"x_2p": new_x_2p,
"y_2p": new_y_2p,
"Year": new_year,
"Player": new_player,
}
slider.on_change("value", callback)
menu.on_change("value", callback)
def getSeasons(self, byear, endyear):
for x in range(byear, endyear):
self.seasons.append(Season(x, self.id))
def setUp(self):
self.season = Season(2013)
team_list.sort(key=lambda x: x.name)
for player in player_list:
player.predict_year()
# get team info
for team in team_list:
team.get_team_info()
# Read JLT match
SeasonData2 = wb.sheet_by_name("JLT 19")
# create object season to be filled with JLT matches
season_dict = {}
#season_ident = str(season_ident[0]),str(season_ident[1])
season_dict[season_ident] = Season(season_ident)
# Loop through rows of data
i = 0
for i in range(SeasonData2.nrows):
if i == 0:
for j in range(SeasonData2.ncols):
for title in jlt_head:
if title == SeasonData2.cell_value(i, j):
#print(SeasonData2.cell_value(i,j),j)
read_in_dict2[title] = j
continue
else:
tmp_player = SeasonData2.cell_value(i, read_in_dict2["Player"])
from Season import Season s=Season() s.simulateSeason()