Player_Genorator.py

import numpy as np
import matplotlib.pyplot as plt




def GenData(mu,sigma,PlayerN):
# mu, sigma , PlayerN = 2350, 700 , 5000 # mean and standard deviation
    s = np.random.normal(mu, sigma, PlayerN)
        
    #Credit to Numpy documention for plot code
    count, bins, ignored = plt.hist(s, 30, density=True)
    plt.plot(bins, 1/(sigma * np.sqrt(2 * np.pi)) *
    np.exp( - (bins - mu)**2 / (2 * sigma**2) ),
    linewidth=2, color='r')
        
    s = np.int_(s)
        
    f = open("PlayerData.txt", "w")
    z = 0
        
        
        # file format needs added
    f.write("PlayerID,StartingSR,CurrentSR,Games Played,Games Lost,Games Won")
    f.write("\n")
    for item in range(0,PlayerN):
        y = 0
        Pdata = [item , s[z], s[z],0,0,0]
            
        z = z + 1
        for x in range(0,6):
            f.write(str(Pdata[y]))
            if x < 5:
                f.write(',') 
                
            y = y + 1 
        f.write('\n')
        
        
    f.close()

GenData(2350, 700 , 5000)