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PlayerComp.py
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PlayerComp.py
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import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import math
from bisect import bisect_left
class NBA(object):
def __init__(self, super, max, min, t1, t2, t3, t4, t5, t6):
self.Supermax = super
self.Max = max
self.Min = min
self.t1 = t1
self.t2 = t2
self.t3 = t3
self.t4 = t4
self.t5 = t5
self.t6 = t6
class Player(object):
def __init__(self, name, firstName, salary, teamName, age, points, assists, rebounds, steals, blocks, turnovers, fouls, games, fta, ftm, fga, fgm):
self.name = name
self.firstName = firstName
self.salary = salary
self.teamName = teamName
self.isSupermax = False
self.ismax = False
self.isMin = False
self.age = age
self.PPG = points
self.AST = assists
self.REB = rebounds
self.STL = steals
self.BLK = blocks
self.TO = turnovers
self.fouls = fouls
self.G = games
self.over = False
self.under = False
self.normal = False
self.tier = ""
self.PER = (points + assists + rebounds + steals + blocks - (fta - ftm) - (fga - fgm) - turnovers)
class Team(object):
def __init__(self, name, players):
self.name = name
self.players = players
def graph(arr, z, labelVal, f):
X_axis = np.arange(len(arr))
fig = plt.figure(figsize = (z, 5))
plt.bar(X_axis, [getattr(x, labelVal) for x in arr], 0.4, label = labelVal, color = 'g')
plt.xticks(X_axis, [x.firstName for x in arr], fontsize = f)
plt.xlabel("Players")
plt.ylabel(labelVal)
plt.legend()
plt.show()
def process_team_data(team_name, allPlayers, averageCap):
stats_file = f"Data/{team_name}PlayerStats.csv"
salary_file = f"Data/{team_name}Salary.csv"
standings_file = "NBAStandings.csv"
stats_data = pd.read_csv(stats_file)
salary_data = pd.read_csv(salary_file)
standings_data = pd.read_csv(standings_file)
# Merge datasets based on player names
merged_data = pd.merge(salary_data, stats_data, on='Player', how='inner')
# Save merged dataset to a new CSV file
merged_data.to_csv(f"Data/{team_name}MergedData.csv", index=False)
# Remove the dollar sign from the data to clean it up
merged_data['2023-24'] = merged_data['2023-24'].replace('[\$,]', '', regex=True).astype(float)
total_team_salary = merged_data['2023-24'].sum()
#create a player object for each player in the csv
players = []
for index, row in merged_data.iterrows():
if row['2023-24'] > 0 and row['G'] > 3:
parts = row['Player'].split(' ', 1)
player = Player(row['Player'], parts[1], row['2023-24'], team_name, row['Age_x'], row['PTS'], row['AST'], row['TRB'], row['STL'], row['BLK'], row['TOV'], row['PF'], row['G'], row['FTA'], row['FT'], row['FGA'], row['FG'])
holder = checkForMaxMin(player, averageCap)
if holder == 1:
player.isSupermax = True
elif holder == 0:
player.ismax = True
elif holder == -1:
player.isMin = True
players.append(player)
allPlayers.append(player)
team = Team(team_name, players)
return team
def checkForMaxMin(player, averageCap):
if player.salary/averageCap >= 0.33: # is supermax
return 1
elif player.salary/averageCap >= 0.23: # is max
return 0
elif player.salary <= 2400000.0: # is min
return -1
else:
return -2
#function reviews the supermax players on each team
def reviewSuperMaxes(teamFinished, labelVal):
superMax = []
for team in teamFinished:
for c in team.players:
if c.isSupermax:
superMax.append(c)
superMax.sort(key=lambda x: x.salary, reverse=True)
graph(superMax, 10, labelVal, 9)
def reviewMaxes(teamFinished, labelVal):
max = []
for team in teamFinished:
for c in team.players:
if c.ismax:
max.append(c)
max.sort(key=lambda x: x.salary, reverse=True)
graph(max, 30, labelVal, 6)
def reviewMins(teamFinished, labelVal):
min = []
for team in teamFinished:
for c in team.players:
if c.isMin:
min.append(c)
min.sort(key=lambda x: x.salary, reverse=True)
graph(min, 10, labelVal, 6)
def reviewPlayer(name, teamFinished, allPlayers, labelVal):
temp = 0
for i in range(len(allPlayers)):
if allPlayers[i].name == name:
temp = i
break
if allPlayers[temp].isSupermax:
reviewSuperMaxes(teamFinished, labelVal)
counter, expected = overUnderPlayer(allPlayers[temp], allPlayers, labelVal)
if counter == 1:
print(allPlayers[temp].name, "is overachieving.")
print(allPlayers[temp].name, "is making $", round(allPlayers[temp].salary), "and is averaging ", allPlayers[temp].PER, "PER compared to the average of ", round(expected), "PER for his tier.")
elif counter == -1:
print(allPlayers[temp].name, "is underachieving.")
print(allPlayers[temp].name, "is making $", round(allPlayers[temp].salary), "and is averaging ", allPlayers[temp].PER, "PER compared to the average of ", round(expected), "PER for his tier.")
else:
print(allPlayers[temp].name, "is performing as expected.")
print(allPlayers[temp].name, "is making $", round(allPlayers[temp].salary), "and is averaging ", allPlayers[temp].PER, "PER compared to the average of ", round(expected), "PER for his tier.")
else:
holder = []
#find the index of the player in the allPlayers array
#find the players that are within 5% of the player's salary
for i in range(temp-7, temp+7):
if i >= 0 and i < len(allPlayers):
holder.append(allPlayers[i])
graph(holder, 10, labelVal, 9)
counter, expected = overUnderPlayer(allPlayers[temp], allPlayers, labelVal)
if counter == 1:
print(allPlayers[temp].name, "is overachieving.")
print(allPlayers[temp].name, "is making $", round(allPlayers[temp].salary), "and is averaging ", round(allPlayers[temp].PER), "PER compared to the average of ", round(expected), "PER for his tier.")
elif counter == -1:
print(allPlayers[temp].name, "is underachieving.")
print(allPlayers[temp].name, "is making $", round(allPlayers[temp].salary), "and is averaging ", round(allPlayers[temp].PER), "PER compared to the average of ", round(expected), "PER for his tier.")
else:
print(allPlayers[temp].name, "is performing as expected.")
print(allPlayers[temp].name, "is making $", round(allPlayers[temp].salary), "and is averaging ", round(allPlayers[temp].PER), "PER compared to the average of ", round(expected), "PER for his tier.")
print(allPlayers[temp].name, allPlayers[temp].teamName)
def segregatingContracts(teamFinished, allPlayers, labelVal):
superAvg, maxAvg, minAvg = 0, 0, 0
p1, p2, p3, p4, p5, p6 = 0, 0, 0, 0, 0, 0
superCount, maxCount, minCount = 0, 0, 0
c1, c2, c3, c4, c5, c6 = 0, 0, 0, 0, 0, 0
for player in allPlayers:
if player.isSupermax:
superAvg += player.PER
superCount += 1
elif player.ismax:
maxAvg += player.PER
maxCount += 1
elif player.isMin:
minAvg += player.PER
minCount += 1
elif 31830356 > player.salary >= 25000000:
p1 += player.PER
c1 += 1
elif 25000000 > player.salary >= 20000000:
p2 += player.PER
c2 += 1
elif 20000000 > player.salary >= 15000000:
p3 += player.PER
c3 += 1
elif 15000000 > player.salary >= 10000000:
p4 += player.PER
c4 += 1
elif 10000000 > player.salary >= 5000000:
p5 += player.PER
c5 += 1
elif 5000000 > player.salary:
p6 += player.PER
c6 += 1
sdSuper, sdMax, sdMin, sd1, sd2, sd3, sd4, sd5, sd6 = standardDeviation(superAvg/superCount, maxAvg/maxCount, minAvg/minCount, p1/c1, p2/c2, p3/c3, p4/c4, p5/c5, p6/c6, superCount, maxCount, minCount, c1, c2, c3, c4, c5, c6, allPlayers, labelVal)
nba = NBA(superAvg/superCount, maxAvg/maxCount, minAvg/minCount, p1/c1, p2/c2, p3/c3, p4/c4, p5/c5, p6/c6)
return superAvg/superCount, maxAvg/maxCount, minAvg/minCount, p1/c1, p2/c2, p3/c3, p4/c4, p5/c5, p6/c6, sdSuper, sdMax, sdMin, sd1, sd2, sd3, sd4, sd5, sd6, nba
#print("Supermax average: ", superAvg/superCount)
#print("Max average: ", maxAvg/maxCount)
#print("Min average: ", minAvg/minCount)
#print("1st tier average: ", p1/c1)
#print("2nd tier average: ", p2/c2)
#print("3rd tier average: ", p3/c3)
#print("4th tier average: ", p4/c4)
#print("5th tier average: ", p5/c5)
#print("6th tier average: ", p6/c6)
def standardDeviation(superAvg, maxAvg, minAvg, t1, t2, t3, t4, t5, t6, superCount, maxCount, minCount, c1, c2, c3, c4, c5, c6, allPlayers, labelVal):
sdSuper, sdMax, sdMin, sd1, sd2, sd3, sd4, sd5, sd6 = 0, 0, 0, 0, 0, 0, 0, 0, 0
counterSuper, counterMax, counterMin, counter1, counter2, counter3, counter4, counter5, counter6 = 0, 0, 0, 0, 0, 0, 0, 0, 0
for player in allPlayers:
if player.isSupermax:
counterSuper = counterSuper + (player.PER - superAvg)**2
elif player.ismax:
counterMax = counterMax + (player.PER - maxAvg)**2
elif player.isMin:
counterMin = counterMin + (player.PER - minAvg)**2
elif 31830356 > player.salary >= 25000000:
counter1 = counter1 + (player.PER - t1)**2
elif 25000000 > player.salary >= 20000000:
counter2 = counter2 + (player.PER - t2)**2
elif 20000000 > player.salary >= 15000000:
counter3 = counter3 + (player.PER - t3)**2
elif 15000000 > player.salary >= 10000000:
counter4 = counter4 + (player.PER - t4)**2
elif 10000000 > player.salary >= 5000000:
counter5 = counter5 + (player.PER - t5)**2
elif 5000000 > player.salary:
counter6 = counter6 + (player.PER - t6)**2
sdSuper = math.sqrt(counterSuper/superCount)
sdMax = math.sqrt(counterMax/maxCount)
sdMin = math.sqrt(counterMin/minCount)
sd1 = math.sqrt(counter1/c1)
sd2 = math.sqrt(counter2/c2)
sd3 = math.sqrt(counter3/c3)
sd4 = math.sqrt(counter4/c4)
sd5 = math.sqrt(counter5/c5)
sd6 = math.sqrt(counter6/c6)
return sdSuper, sdMax, sdMin, sd1, sd2, sd3, sd4, sd5, sd6
def checkTier(player):
if player.isSupermax:
player.tier = "Supermax"
return "Supermax"
elif player.ismax:
player.tier = "Max"
return "Max"
elif player.isMin:
player.tier = "Min"
return "Min"
elif 31830356 > player.salary >= 25000000:
player.tier = "t1"
return "1st Tier"
elif 25000000 > player.salary >= 20000000:
player.tier = "t2"
return "2nd Tier"
elif 20000000 > player.salary >= 15000000:
player.tier = "t3"
return "3rd Tier"
elif 15000000 > player.salary >= 10000000:
player.tier = "t4"
return "4th Tier"
elif 10000000 > player.salary >= 5000000:
player.tier = "t5"
return "5th Tier"
elif 5000000 > player.salary:
player.tier = "t6"
return "6th Tier"
def reviewTeam(teamName, teamFinished, labelVal):
for team in teamFinished:
if team.name == teamName:
over, under, nba = overVsUnder(team, allPlayers, labelVal)
graph(team.players, 10, labelVal, 9)
for player in team.players:
if player.over:
print(player.name, "is overachieving.")
print(player.name, "is making $",round(player.salary), "and is averaging ", player.PER, "PER compared to the average of ", round(getattr(nba, player.tier)), "PER for his tier.")
elif player.under:
print(player.name, "is underachieving.")
print(player.name, "is making $",round(player.salary), "and is averaging ", player.PER, "PER compared to the average of ", round(getattr(nba, player.tier)), "PER for his tier.")
print("The ", teamName, "have ", over, "overachieving player(s), ", under, "underachieving player(s).")
def overUnderPlayer (player, allPlayers, labelVal):
superAvg, maxAvg, minAvg, t1, t2, t3, t4, t5, t6, sdSuper, sdMax, sdMin, sd1, sd2, sd3, sd4, sd5, sd6, nba = segregatingContracts(teamFinished, allPlayers, labelVal)
tier = checkTier(player)
if tier == "Supermax":
if player.PER > superAvg + sdSuper:
player.over = True
return 1, round(getattr(nba, player.tier))
if player.PER < superAvg - sdSuper:
player.under = True
return -1, round(getattr(nba, player.tier))
else:
return 0, round(getattr(nba, player.tier))
elif tier == "Max":
if player.PER > maxAvg + sdMax:
player.over = True, round(getattr(nba, player.tier))
return 1
elif player.PER < maxAvg - sdMax:
player.under = True, round(getattr(nba, player.tier))
return -1
else:
return 0, round(getattr(nba, player.tier))
elif tier == "Min":
if player.PER > minAvg + sdMin:
player.over = True
return 1, round(getattr(nba, player.tier))
else:
return 0, round(getattr(nba, player.tier))
elif tier == "1st Tier":
if player.PER > t1 + sd1:
player.over = True
return 1, round(getattr(nba, player.tier))
elif player.PER < t1 - sd1:
player.under = True
return -1, round(getattr(nba, player.tier))
else:
return 0, round(getattr(nba, player.tier))
elif tier == "2nd Tier":
if player.PER > t2 + sd2:
player.over = True
return 1, round(getattr(nba, player.tier))
elif player.PER < t2 - sd2:
player.under = True
return -1, round(getattr(nba, player.tier))
else:
return 0
elif tier == "3rd Tier":
if player.PER > t3 + sd3:
player.over = True
return 1, round(getattr(nba, player.tier))
elif player.PER < t3 - sd3:
player.under = True
return -1, round(getattr(nba, player.tier))
else:
return 0, round(getattr(nba, player.tier))
elif tier == "4th Tier":
if player.PER > t4 + sd4:
player.over = True
return 1, round(getattr(nba, player.tier))
elif player.PER < t4 - sd4:
player.under = True
return -1, round(getattr(nba, player.tier))
else:
return 0, round(getattr(nba, player.tier))
elif tier == "5th Tier":
if player.PER > t5 + sd5:
player.over = True
return 1, round(getattr(nba, player.tier))
elif player.PER < t5 - sd5:
player.under = True
return -1, round(getattr(nba, player.tier))
else:
return 0, round(getattr(nba, player.tier))
elif tier == "6th Tier":
if player.PER > t6 + sd6:
player.over = True
return 1, round(getattr(nba, player.tier))
elif player.PER < t6 - sd6:
player.under = True
return -1, round(getattr(nba, player.tier))
else:
return 0, round(getattr(nba, player.tier))
def overVsUnder (team, allPlayers, labelVal):
superAvg, maxAvg, minAvg, t1, t2, t3, t4, t5, t6, sdSuper, sdMax, sdMin, sd1, sd2, sd3, sd4, sd5, sd6, nba = segregatingContracts(teamFinished, allPlayers, labelVal)
over, under, normal = 0, 0, 0
tier = ""
for player in team.players:
tier = checkTier(player)
if tier == "Supermax":
if player.PER > superAvg + sdSuper:
over += 1
player.over = True
if player.PER < superAvg - sdSuper:
under += 1
player.under = True
else:
normal += 1
elif tier == "Max":
if player.PER > maxAvg + sdMax:
over += 1
player.over = True
elif player.PER < maxAvg - sdMax:
under += 1
player.under = True
else:
normal += 1
elif tier == "Min":
if player.PER > minAvg + sdMin:
over += 1
player.over = True
else:
normal += 1
elif tier == "1st Tier":
if player.PER > t1 + sd1:
over += 1
player.over = True
elif player.PER < t1 - sd1:
under += 1
player.under = True
else:
normal += 1
elif tier == "2nd Tier":
if player.PER > t2 + sd2:
over += 1
player.over = True
elif player.PER < t2 - sd2:
under += 1
player.under = True
else:
normal += 1
elif tier == "3rd Tier":
if player.PER > t3 + sd3:
over += 1
player.over = True
elif player.PER < t3 - sd3:
under += 1
player.under = True
else:
normal += 1
elif tier == "4th Tier":
if player.PER > t4 + sd4:
over += 1
player.over = True
elif player.PER < t4 - sd4:
under += 1
player.under = True
else:
normal += 1
elif tier == "5th Tier":
if player.PER > t5 + sd5:
over += 1
player.over = True
elif player.PER < t5 - sd5:
under += 1
player.under = True
else:
normal += 1
elif tier == "6th Tier":
if player.PER > t6 + sd6:
over += 1
player.over = True
elif player.PER < t6 - sd6:
under += 1
player.under = True
else:
normal += 1
team.over = over
team.under = under
team.normal = normal
return over, under, nba
teamsFinal = ['Blazers', 'Bucks', 'Bulls', 'Cavaliers', 'Celtics', 'Clippers', 'Grizzlies', 'Hawks', 'Heat', 'Hornets', 'Jazz', 'Kings', 'Knicks', 'Lakers', 'Magic', 'Mavericks', 'Nets', 'Nuggets', 'Pacers', 'Pelicans', 'Pistons', 'Raptors', 'Rockets', 'Spurs', 'Suns', 'Thunder', 'Wolves', 'Warriors', 'Wizards', 'Sixers']
teams = ['Celtics', 'Bucks']
# teamsfinished is an array of teams that have been processed and hold the team objects that hold players
teamFinished = []
allPlayers = []
labelVal = ""
for team in teamsFinal:
teamFinished.append(process_team_data(team, allPlayers, 135000000))
allPlayers.sort(key=lambda x: x.salary, reverse=True)
val = input("What do you want to see?: ")
labelVal = input("What stat do you want to use?: ")
segregatingContracts(teamFinished, allPlayers, labelVal)
if val == "super":
reviewSuperMaxes(teamFinished, labelVal)
elif val == "max":
reviewMaxes(teamFinished, labelVal)
elif val in teamsFinal:
reviewTeam(val, teamFinished, labelVal) # needs to be completed
else:
for player in allPlayers:
if player.name == val:
reviewPlayer(val, teamFinished, allPlayers, labelVal)
break
else:
print("Player not found.")