import numpy as np
import matplotlib.pyplot as plt

mu=100
sigma=15
x=np.random.normal(mu,sigma,10000)

ax=plt.gca()

ax.hist(x,bins=35,color='r')

ax.set_xlabel('Values')
ax.set_ylabel('Frequency')

ax.set_title(r'$\mathrm{Histogram:}\ \mu=%d,\ \sigma=%d$'%(mu,sigma))

plt.show()
