How do I make plots of a 1-dimensional Gaussian distribution function using the mean and standard deviation parameter values (μ, σ) = (−1, 1), (0, 2), and (2, 3)?
I\'m n
With the excellent matplotlib
and numpy
packages
from matplotlib import pyplot as mp
import numpy as np
def gaussian(x, mu, sig):
return np.exp(-np.power(x - mu, 2.) / (2 * np.power(sig, 2.)))
x_values = np.linspace(-3, 3, 120)
for mu, sig in [(-1, 1), (0, 2), (2, 3)]:
mp.plot(x_values, gaussian(x_values, mu, sig))
mp.show()
will produce something like