from astropy.io import ascii

import scipy as sy

import matplotlib.pyplot as plt

from scipy.special import gammainc

data = ascii.read("datos.dat")

x=data["col1"]

y=data["col2"]

z=data["col3"]

sig=30*(10**(-6))

def param(y):

return theta

theta=[-0.00113006 , 0.01220323 ,-0.04505635 , 0.07422477, -0.05635102 , 0.01623969 ]

grados=len(x)-len(theta)

datos=[]

for l in range(1000):

real=[]

for i in x:

e=sy.random.normal(0,sig)

real.append(1+theta[0] +theta[1]*i +theta[2]*(i**2) + theta[3]*(i**3) + theta[4]*(i**4)+ theta[5]*(i**5)+e)

pa=param(real)

modelo=[]

for i in x:

modelo.append(1+pa[0] +pa[1]*i +pa[2]*(i**2) + pa[3]*(i**3) + pa[4]*(i**4)+ pa[5]*(i**5) )

chi2=0

for h in range(len(x)):

chi2+= ((real[h]-modelo[h]) / (sig))**2

#print(chi2)

pvalue=1-gammainc(grados/2,chi2/2)

datos.append(pvalue)

#print(pvalue)

plt.figure("2")

n, bins, patches = plt.hist(datos, 20, facecolor='green', alpha=0.5)

plt.xlabel("p-value")

plt.ylabel("Cantidad")

plt.show()