如何利用Python matplotlib绘制雷达图

# coding=utf-8
import numpy as np
import matplotlib.pyplot as plt
 
 
results = [{"大学英语": 87, "高等数学": 79, "体育": 95, "计算机基础": 92, "程序设计": 85},
   {"大学英语": 80, "高等数学": 90, "体育": 91, "计算机基础": 85, "程序设计": 88}]
data_length = len(results[0])
# 将极坐标根据数据长度进行等分
angles = np.linspace(0, 2*np.pi, data_length, endpoint=False)
labels = [key for key in results[0].keys()]
score = [[v for v in result.values()] for result in results]
# 使雷达图数据封闭
score_a = np.concatenate((score[0], [score[0][0]]))
score_b = np.concatenate((score[1], [score[1][0]]))
angles = np.concatenate((angles, [angles[0]]))
labels = np.concatenate((labels, [labels[0]]))
# 设置图形的大小
fig = plt.figure(figsize=(8, 6), dpi=100)
# 新建一个子图
ax = plt.subplot(111, polar=True)
# 绘制雷达图
ax.plot(angles, score_a, color='g')
ax.plot(angles, score_b, color='b')
# 设置雷达图中每一项的标签显示
ax.set_thetagrids(angles*180/np.pi, labels)
# 设置雷达图的0度起始位置
ax.set_theta_zero_location('N')
# 设置雷达图的坐标刻度范围
ax.set_rlim(0, 100)
# 设置雷达图的坐标值显示角度，相对于起始角度的偏移量
ax.set_rlabel_position(270)
ax.set_title("计算机专业大一（上）")
plt.legend(["弓长张", "口天吴"], loc='best')
plt.show()

import numpy as np
import matplotlib.pyplot as plt
 
 
results = [{"大学英语": 87, "高等数学": 79, "体育": 95, "计算机基础": 92, "程序设计": 85},
   {"大学英语": 80, "高等数学": 90, "体育": 91, "计算机基础": 85, "程序设计": 88}]
data_length = len(results[0])
angles = np.linspace(0, 2*np.pi, data_length, endpoint=False)
labels = [key for key in results[0].keys()]
score = [[v for v in result.values()] for result in results]
score_a = np.concatenate((score[0], [score[0][0]]))
score_b = np.concatenate((score[1], [score[1][0]]))
angles = np.concatenate((angles, [angles[0]]))
labels = np.concatenate((labels, [labels[0]]))
fig = plt.figure(figsize=(10, 6), dpi=100)
fig.suptitle("计算机专业大一（上）")
ax1 = plt.subplot(121, polar=True)
ax2 = plt.subplot(122, polar=True)
ax, data, name = [ax1, ax2], [score_a, score_b], ["弓长张", "口天吴"]
for i in range(2):
 for j in np.arange(0, 100+20, 20):
  ax[i].plot(angles, 6*[j], '-.', lw=0.5, color='black')
 for j in range(5):
  ax[i].plot([angles[j], angles[j]], [0, 100], '-.', lw=0.5, color='black')
 ax[i].plot(angles, data[i], color='b')
 # 隐藏最外圈的圆
 ax[i].spines['polar'].set_visible(False)
 # 隐藏圆形网格线
 ax[i].grid(False)
 for a, b in zip(angles, data[i]):
  ax[i].text(a, b+5, '%.00f' % b, ha='center', va='center', fontsize=12, color='b')
 ax[i].set_thetagrids(angles*180/np.pi, labels)
 ax[i].set_theta_zero_location('N')
 ax[i].set_rlim(0, 100)
 ax[i].set_rlabel_position(0)
 ax[i].set_title(name[i])
plt.show()