在matplotlib (Python)中使用colormesh绘制随机轨迹与‘真实’路径的偏差

import numpy as np
import matplotlib.pyplot as plt

# 生成随机轨迹数据
num_points = 100
x = np.random.rand(num_points)
y = np.random.rand(num_points)

# 生成真实路径数据
true_x = np.linspace(0, 1, num_points)
true_y = np.sin(2 * np.pi * true_x)

deviation = np.sqrt((x - true_x)**2 + (y - true_y)**2)

plt.figure(figsize=(10, 6))
plt.pcolormesh(deviation.reshape(1, -1), cmap='coolwarm')
plt.colorbar(label='Deviation')
plt.title('Deviation between Random Path and True Path')
plt.xlabel('Point Index')
plt.ylabel('Deviation')
plt.show()