def infoToDataFrame(dailyGames, meanDict, standardDeviationDict, startDate,
endDate, season):
fullDataFrame = []
gameNumber = 0 # Counter to match the result of the game with the correct game
dailyResults = dailyGames[1] # List of results for the games
for homeTeam, awayTeam in dailyGames[0].items():
homeTeamStats = getStatsForTeam(homeTeam, startDate, endDate, season)
awayTeamStats = getStatsForTeam(awayTeam, startDate, endDate, season)
currentGame = [homeTeam, awayTeam]
for stat, statType in availableStats.items(
): # Finds Z Score Dif for stats listed above and adds them to list
zScoreDif = zScoreDifferential(homeTeamStats[stat],
awayTeamStats[stat], meanDict[stat],
standardDeviationDict[stat])
currentGame.append(zScoreDif)
if dailyResults[gameNumber] == 'W': # Sets result to 1 if a win
result = 1
else: # Sets result to 0 if loss
result = 0
currentGame.append(result)
gameNumber += 1
print(currentGame)
fullDataFrame.append(
currentGame
) # Adds this list to list of all games on specified date
return (fullDataFrame)
def dailyGamesDataFrame(dailyGames, meanDict, standardDeviationDict, startDate,
endDate):
fullDataFrame = []
for homeTeam, awayTeam in dailyGames.items():
homeTeamStats = getStatsForTeam(homeTeam, startDate, endDate)
awayTeamStats = getStatsForTeam(awayTeam, startDate, endDate)
currentGame = [homeTeam, awayTeam]
for stat, statType in availableStats.items(
): # Finds Z Score Dif for stats listed above and adds them to list
zScoreDif = zScoreDifferential(homeTeamStats[stat],
awayTeamStats[stat], meanDict[stat],
standardDeviationDict[stat])
currentGame.append(zScoreDif)
fullDataFrame.append(
currentGame
) # Adds this list to list of all games on specified date
return (fullDataFrame)