"""
Construct  normal probability plot

"""
import math
import scipy.stats as ss
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

import prettytable
from random import seed
seed(100)
################
mu = 0.0
sigma = 1.0
x = np.linspace(mu - 5*sigma, mu + 5*sigma, 10)
norm_pdf_x= ss.norm.pdf(x,mu,sigma)
plt.plot(x,norm_pdf_x)
print("The Std. Dev. of normally Dist. x =", np.std(norm_pdf_x))
print()
###########################################
Produces a wrong Result for sigma:
The Std. Dev. of normally Dist. x = 0.13142071847657633
Should be 1.0