import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit

data = np.loadtxt("Combined_dartboard.csv",  delimiter=',', skiprows = 1)
# Changed from "try2darts.csv"
print(data) # Don't do this

ValidDart = data[:,1] # Changed from data[1]
print(ValidDart) # Don't need to print this
DartStrike = data[:,2]
print(DartStrike) # Don't need to print this

Average = DartStrike.mean()
print("The mean in combined throws: ", Average)
# Changed from print(Average)
STD = DartStrike.std(ddof = 1)
print("The Standard Deviation in combined throws: ", STD)
# Changed from print(STD)
uncertaintyofmean = STD/np.sqrt(DartStrike.size)
print("The Standard Deviation from the mean in combined throws: ",
      uncertaintyofmean)
# Changed from print(uncertanityofmean)

Average2 = (sum(DartStrike))/DartStrike.size
print(Average2)

sigma = np.sqrt((1/((DartStrike.size)-1))*sum((DartStrike-Average2)**2))
print(sigma)

alpha_ = sigma/np.sqrt(DartStrike.size)
print(alpha_)

#bin_boundaries = -22.5+3*np.arange(16)
#print(bin_boundaries)

fig = plt.figure(figsize= (10,5), dpi=100)
ax = fig.add_subplot(111)

plt.hist(DartStrike, bins=40, range=(-20.5,20.5), cumulative=False, bottom=0,
             align="mid",orientation="vertical",color="pink",stacked=False,
             hold=None,data=None,alpha=1 )

#plt.xlim(-20.5, 20.5)

# Changed from plt.hist(DartStrike, range= [-24,24],
# bins= [-21,-20,-19,-18,-17,-16,-15,-14,-13,-12,-11,-10,-9,-8,-7,-6,
# -5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21],
# align='mid') and removed the xlim

plt.show() # Added
plt.close() # Added

mu = Average2

dx = 1
x= np.linspace(mu-sigma*6,mu+sigma*6,int(12*sigma/dx)+1)
gaussian = np.sqrt(1/(sigma**2*2.*np.pi))*np.exp(-(x-mu)**2/(2.*sigma**2))

print("Check that PDF adds (almost) to one:", gaussian.sum()*dx)

# Output for me
'''
[[  1.   1.  -4.]
 [  1.   2.   0.]
 [  1.   3.   2.]
 ...
 [ 58. 148.   7.]
 [ 58. 149.   7.]
 [ 58. 150.   8.]]
[  1.   2.   3. ... 148. 149. 150.]
[-4.  0.  2. ...  7.  7.  8.]
The mean in combined throws:  0.41210176484070593
The Standard Deviation in combined throws:  6.546462392993681
The Standard Deviation from the mean in combined throws:  0.07008080358281947
0.41210176484070593
6.546462392993711
0.0700808035828198
Check that PDF adds (almost) to one: 0.9929026704994178
'''

# Hitogram looks good, you can fool around with the settings to make it look
# how you want, I'm still squashing the bugs for mine so I can't confirm any
# of the gausian stuff for you. If it seems legit than it should be good!

# I'll see if I can knock this thing out tonight, hopefully I'll have a few
# things for you tmrw, when ur back from work.