%matplotlib inline
import matplotlib.pyplot as plt
import scipy as sp
import numpy as np
from IPython.html.widgets import interactive
from IPython.html import widgets
from IPython.display import display
def mapping(sigma, mu):
x = np.linspace(0.,180.,1000)
y = 100*(1./(np.sqrt(2*np.pi)*sigma*x))*np.exp((-(np.log(x)-mu)**2)/(2.*sigma**2))
plt.plot(x,y)
plt.show()
mapping(sigma=10, mu=100)