最常见的方法是使用fill_between对置信区间之间的区域进行着色。例如：import numpy as np
np.random.seed(1977)
import matplotlib.pyplot as plt
# Generate data...
x_obs = np.linspace(-2, 2, 20)
true_model = [0.2, -0.1, 4, 2, 1, 0]
noise = np.random.normal(0, 5, x_obs.shape)
y_obs = np.polyval(true_model, x_obs) + noise
# Fit to a 5-th order polynomial
fit_model = np.polyfit(x_obs, y_obs, 5)
x = np.linspace(-3, 3, 100)
y_true = np.polyval(true_model, x)
y_pred = np.polyval(fit_model, x)
# Made up confidence intervals (Im too lazy to do the math...)
high_bound = y_pred + 3 * (0.5 * x**4 + 3)
low_bound = y_pred - 3 * (0.5 * x**4 + 3)
# Plot the results...
fig, ax = plt.subplots()
ax.fill_between(x, high_bound, low_bound, color=gray, alpha=0.5)
ax.plo
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