#python 3.7.4,opencv4.1
#蔡军生 https://blog.csdn.net/caimouse/article/details/51749579
#
import matplotlib.pyplot as plt
import numpy as np
 
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
 
employee = ["张三", "李四", "蔡大", "庞二", "林五"]
actual = [45, 53, 55, 61, 57, 45]
expected = [50, 55, 60, 65, 55, 50]
 
# 设置图形大小和极坐标方式显示
plt.figure(figsize=(5, 5))
plt.subplot(polar=True)
 
#角度坐标生成
theta = np.linspace(0, 2 * np.pi, len(actual))
 
# 设置极坐标的标记
lines, labels = plt.thetagrids(range(0, 360, int(360/len(employee))), (employee))
 
# 在极坐标显示销售数值
plt.plot(theta, actual)
plt.fill(theta, actual, 'b', alpha=0.1)
 
# 极坐标显示期望销售数值
plt.plot(theta, expected)
 
# 添加标注和标题
plt.legend(labels=('实际值', '期望值'), loc=1)
plt.title("实际值 与 期望值对比")
 
# 显示点到屏幕
plt.show()