# Basic usage:
#
import numpy as np
from matplotlib import pyplot as plt
from nustattools import plotting as nuplt
rng = np.random.default_rng()
x = np.linspace(0, 10, 5)
u = x[:,np.newaxis] / 4
u[-2] *= -1
cov = np.eye(5) + u@u.T
y = rng.multivariate_normal(np.zeros(5), cov)
nuplt.corlines(x, y, cov, marker="x")