INNER CODE UNIT · Python
function
mszell/geospatialdatascience · unit11_mobilityindividual/stats_utils.py:251
def function(x): return np.exp( -(x-mu())**2.0/sigma()**2.0/2.0)/(2.0*sigma()**2.0*np.pi)**0.5
######################################################################################
USA QUESTE FORMULE
#Gaussian formula
#np.exp( -(x-mu())**2.0/sigma()**2.0/2.0)/(2.0*np.pi)**0.5/sigma()
# Lognormal formula
#np.exp( -(np.log(x)-mu())**2.0/sigma()**2.0/2.0)/(2.0*np.pi)**0.5/x/sigma()
######################################################################################
np.exp( -(x-mu())**2.0/sigma()**2.0/2.0)/(2.0*np.pi)**0.5/sigma()
# fit! (given that data is an array with the data to fit)
popt,cov,infodict,mesg,ier,pcov,chi2 = LSfit(function, [mu, sigma], data, variables)
"""
x = np.array(x)
y = np.array(y)