import matplotlib.pyplot as plt
import pandas as pd
plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号import matplotlib.pyplot as plt
import pandas as pd# 示例函数，绘制曲率变化率图
def draw_dkappa_scatters(path1, dkappa_scatters_picture_relativepath=None):fig, ax1 = plt.subplots()fig.suptitle('规划路径曲率变化率', y=0.92)# 左轴 - 曲率变化率ax1.set_xlabel('累加距离s(m)')ax1.set_ylabel('曲率变化率dk')ax1.plot(path1['distance'], path1['dkappa'], color='#F98FA8', linestyle='--', marker='s', markersize=2, linewidth=0.5)#ax1.tick_params(axis='y', labelcolor='tab:red')ax1.tick_params(axis='y')# 获取最大值和最小值max_dkappa = path1['dkappa']