Matplotlib绘制雷达图和三维图的示例代码

1.雷达图

程序示例

'''1.空白极坐标图'''
import matplotlib.pyplot as plt
plt.polar()
plt.show()
'''2.绘制一个极坐标点'''
import numpy as np
import matplotlib.pyplot as plt
# 极坐标(0.25*pi,20)
plt.polar(0.25*np.pi, 20, 'ro', lw=2)  # 'ro'红色圆点
plt.ylim(0,50)
plt.show()
'''3.绘制多个极坐标点'''
import numpy as np
import matplotlib.pyplot as plt
theta = np.array([0.25,0.5,0.75,1,1.25,1.5,1.75,2])
r = [75,60,50,70,50,85,45,70]plt.polar(theta*np.pi, r, 'ro', lw=2)  # 'ro'红色圆点
plt.ylim(0,100)
plt.show()
'''4.链接极坐标点'''
import numpy as np
import matplotlib.pyplot as plt
theta = np.array([0.25,0.5,0.75,1,1.25,1.5,1.75,2])
r = [75,60,50,70,50,85,45,70]plt.polar(theta*np.pi, r, 'ro-', lw=2)
plt.ylim(0,100)
plt.show()
'''5.闭合链接极坐标点'''
import numpy as np
import matplotlib.pyplot as plt
# 只需在末尾添加一个和起始点重合的点
theta = np.array([0.25,0.5,0.75,1,1.25,1.5,1.75,2,0.25])
r = [75,60,50,70,50,85,45,70, 75]plt.polar(theta*np.pi, r, 'ro-', lw=2)
plt.ylim(0,100)
plt.show()
'''6.填充颜色'''
import numpy as np
import matplotlib.pyplot as plt
# 只需在末尾添加一个和起始点重合的点
theta = np.array([0.25,0.5,0.75,1,1.25,1.5,1.75,2,0.25])
r = [75,60,50,70,50,85,45,70, 75]plt.polar(theta*np.pi, r, 'ro-', lw=2)
plt.fill(theta*np.pi, r, facecolor='r', alpha=0.5) # 填充
plt.ylim(0,100)
plt.show()
'''7.绘制成绩雷达图'''
import numpy as np
import matplotlib.pyplot as plt
courses = ['C++', 'Python', 'Java', 'C', 'C#', 'Go', 'Matlab']scores = [82,100,90,78,40,66,88]
datalength = len(scores)
angles = np.linspace(0, 2*np.pi, datalength, endpoint=False)  # 均分极坐标
scores.append(scores[0])  # 在末尾添加第一个值，保证曲线闭合
angles = np.append(angles, angles[0])
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