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圆形和多边形雷达图python-Matplotlib绘制雷达图和三维图的示例代码

时间:2019-02-23 18:58:49

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圆形和多边形雷达图python-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])

plt.polar(angles, scores, 'rv-', lw=2)

plt.thetagrids(angles*180/np.pi, courses, fontproperties='simhei')

plt.fill(angles, scores, facecolor='r', alpha=0.4)

2.三维图

程序示例

'''1.绘制三维曲线,并设置图例字号'''

import matplotlib.pyplot as plt

import numpy as np

import matplotlib as mpl

import matplotlib.font_manager as fm

from mpl_toolkits.mplot3d import Axes3D # 不可缺少

fig = plt.figure()

ax = fig.gca(projection='3d') # 设置图像属性

# 测试数据

theta = np.linspace(-4 * np.pi, 4*np.pi, 100)

z = np.linspace(-4,4,100) * 0.3

r = z**4 + 1

x = r*np.sin(theta)

y = r*np.cos(theta)

ax.plot(x,y,z,'b^-', label='3D 测试曲线')

# 设置图例的字体,字号

font = fm.FontProperties('simhei')

mpl.rcParams['legend.fontsize'] = 10

ax.legend(prop=font)

plt.show()

'''2.绘制三维柱状图,并每个柱子颜色随机'''

import numpy as np

import matplotlib.pyplot as plt

import mpl_toolkits.mplot3d

x = np.random.randint(0,40,10)

y = np.random.randint(0,40,10)

z = 80*abs(np.sin(x+y))

ax = plt.subplot(projection='3d')

for xx, yy, zz in zip(x,y,z):

color = np.random.random(3)

ax.bar3d(xx, yy, 0, dx=1, dy=1, dz=zz, color=color)

ax.set_xlabel('X轴', fontproperties='simhei')

ax.set_ylabel('Y轴', fontproperties='simhei')

ax.set_zlabel('Z轴', fontproperties='simhei')

plt.show()

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本文标题: Matplotlib绘制雷达图和三维图的示例代码

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