I have been trying to get the result of a lognormal distribution using Scipy. I already have the Mu and Sigma, so I don\'t need to do any other prep work. If I need to be
It sounds like you want to instantiate a "frozen" distribution from known parameters. In your example, you could do something like:
from scipy.stats import lognorm
stddev = 0.859455801705594
mean = 0.418749176686875
dist=lognorm([stddev],loc=mean)
which will give you a lognorm distribution object with the mean and standard deviation you specify. You can then get the pdf or cdf like this:
import numpy as np
import pylab as pl
x=np.linspace(0,6,200)
pl.plot(x,dist.pdf(x))
pl.plot(x,dist.cdf(x))

Is this what you had in mind?