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Matplotlib繪制雷達(dá)圖和三維圖的示例代碼

更新時(shí)間：2020年01月07日 14:22:20 作者：墨黎99

這篇文章主要介紹了Matplotlib繪制雷達(dá)圖和三維圖的示例代碼，文中通過示例代碼介紹的非常詳細(xì)，對大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價(jià)值，需要的朋友們下面隨著小編來一起學(xué)習(xí)學(xué)習(xí)吧

1.雷達(dá)圖

程序示例

'''1.空白極坐標(biāo)圖'''
import matplotlib.pyplot as plt
 
plt.polar()
plt.show()
 
'''2.繪制一個極坐標(biāo)點(diǎn)'''
import numpy as np
import matplotlib.pyplot as plt
# 極坐標(biāo)(0.25*pi,20)
plt.polar(0.25*np.pi, 20, 'ro', lw=2)  # 'ro'紅色圓點(diǎn)
plt.ylim(0,50)
plt.show()
 
'''3.繪制多個極坐標(biāo)點(diǎn)'''
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'紅色圓點(diǎn)
plt.ylim(0,100)
plt.show()
 
'''4.鏈接極坐標(biāo)點(diǎn)'''
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.閉合鏈接極坐標(biāo)點(diǎn)'''
import numpy as np
import matplotlib.pyplot as plt
# 只需在末尾添加一個和起始點(diǎn)重合的點(diǎn)
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.填充顏色'''
import numpy as np
import matplotlib.pyplot as plt
# 只需在末尾添加一個和起始點(diǎn)重合的點(diǎn)
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.繪制成績雷達(dá)圖'''
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)  # 均分極坐標(biāo)
 
scores.append(scores[0])  # 在末尾添加第一個值，保證曲線閉合
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)

2.三維圖

程序示例

'''1.繪制三維曲線，并設(shè)置圖例字號'''
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')  # 設(shè)置圖像屬性
 
# 測試數(shù)據(jù)
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 測試曲線')
# 設(shè)置圖例的字體，字號
font = fm.FontProperties('simhei')
mpl.rcParams['legend.fontsize'] = 10
ax.legend(prop=font)
 
plt.show()
 
'''2.繪制三維柱狀圖，并每個柱子顏色隨機(jī)'''
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軸', fontproperties='simhei')
ax.set_ylabel('Y軸', fontproperties='simhei')
ax.set_zlabel('Z軸', fontproperties='simhei')
 
plt.show()