# Compare scalings:
#
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.pcplot(x, y, cov, componentwidth=1, scaling="last", label="last")
nuplt.pcplot(x, y, cov, componentwidth=[(0.4,0)], scaling="second", label="second")
nuplt.pcplot(x, y, cov, componentwidth=[(0,0.4)], scaling="mincor", label="mincor")
plt.legend()