text: import pandas as pd
  from Player import Player
  import numpy as np
  import matplotlib.pyplot as plt
  #from teamstats import loadTeamStats
  #from teamstats100 import loadTeamStats100
  from utility.TeamData import TeamData
  
  year = '2018/' #can change to folder csv is in
  #example lakers:1610612747
  class Team:
      def __init__(self, teamName):
          self.teamName = teamName
          self.df = pd.read_csv(year+teamName+'.csv')
          self.playerIDS = self.df.PLAYER_ID
          self.roster = {} #player objects
          self.teamTotalShots = 0 #total number of shots taken by the team
          self.shotDistPerPlayer = [] #player shot distribution
          self.clock = []
          self.shotQ = []
          self.fga = 0
          self.data = TeamData()
          self.teamStats = None
          self.loadTeamStats()
          self.teamStats100 = None
          self.loadTeamStats100()        
          
  #        self.shotdist = np.random.choice(self.playerIDS, p= self.shotDistPerPlayer)
          self.loadRoster()
          self.teamTotalShotAttempts()
          self.shotDist()
          
      def loadRoster(self):
          for i in self.playerIDS:
              player = {i: Player(i)}
              self.roster.update(player)
          
      def teamTotalShotAttempts(self):
          count =0
          for i in self.roster:
              count += self.roster[i].totalShots
          
          self.teamTotalShots = count
          
      def shotDist(self):
          li = []
          for i in self.roster:
              li.append(self.roster[i].totalShots/self.teamTotalShots)
          self.shotDistPerPlayer = li
          
      #take a shot 
      #the player ID will be returned
      #you need to then reach into the player shooting chart
      def pickShooter(self):
          return np.random.choice(self.playerIDS, p= self.shotDistPerPlayer)
      
      def loadTeamStats(self):
          self.teamStats = self.data.loadTeamStats(self.df['TeamID'][0])      
          #usage:
          #teamName.teamStats['FGA']
          
      def loadTeamStats100(self):
          self.teamStats100 = self.data.loadTeamStats100(self.df['TeamID'][0])      
          
      def scat(self):
          tot = []
          for i in range(25):
              tot.append(0)
              
          for i in range(10000):
              t = self.getShotClock()
              print(t)
              tot[t] +=1
              
          x = list(range(25))
          plt.scatter(x,tot)
          plt.show()
          
          