Python學習筆記--球員能力圖

所用的庫及環境:

　　IDE:Pycharm

　　Python環境：python3.7

　　Matplotlib:   Matplotlib 1.11

　　Numpy：  Numpy1.15

球員能力圖（本圖資料均是隨機生成，不代表任何事情）

• 前言
  • 利用極座標繪製球員能力圖
  • 畫出如下圖形

• 程式碼

 1 # coding=<utf-8>
 2 import  numpy as np
 3 import  matplotlib.pyplot as plt
 4 from matplotlib.font_manager import
 
 *
 5 
 6 
 7 plt.style.use('ggplot')
 8 #解決中文顯示的為框框
 9 font =FontProperties(fname =r'C:\Windows\Fonts\simfang.ttf',size=12)
10 
11 #能力
12 ability_size = 6
13 ability_labels = [u'進攻',u'防守',u'盤帶',u'速度',u'體力',u'射術']#轉化為Unicode
14 
15 #構造畫布
16 ax1= plt.subplot(221,projection = 'polar')
17 ax2= plt.subplot(222,projection = '
 
polar')
18 ax3= plt.subplot(223,projection = 'polar')
19 ax4= plt.subplot(224,projection = 'polar')
20 
21 #取消網格
22 
23 ax1.grid(False)
24 ax2.grid(False)
25 ax3.grid(False)
26 ax4.grid(False)
27 
28 
29 #構造球員能力，隨機生成的
30 player = {
31     'M':np.random.randint(size=ability_size,low=60,high=90),
32     '
 
H':np.random.randint(size=ability_size,low=60,high=90),
33     'P':np.random.randint(size=ability_size,low=60,high=90),
34     'Q':np.random.randint(size=ability_size,low=60,high=90),
35 }
36 
37 #角度，最後一個和第一個重合
38 theta = np.linspace(0,2*np.pi,6,endpoint=False)
39 theta = np.append(theta,theta[0])
40 
41 
42 #繪製MX的圖
43 player ['M'] = np.append(player['M'],player['M'][0])
44 ax1.plot(theta,player['M'],'r')
45 ax1.fill(theta,player['M'],'r',alpha =0.3 )
46 ax1.set_xticks(theta)#分成六等分
47 ax1.set_xticklabels(ability_labels,y = 0.01,fontproperties= font)#指定字型和y座標
48 ax1.set_title(u'MX',fontproperties = font,color = 'r',size=20)
49 ax1.set_yticks([20,40,60,80,100])
50 
51 #繪製HW的圖
52 player ['H'] = np.append(player['H'],player['H'][0])
53 ax2.plot(theta,player['H'],'g')
54 ax2.fill(theta,player['H'],'g',alpha =0.3 )
55 ax2.set_xticks(theta)#分成六等分
56 ax2.set_xticklabels(ability_labels,y = 0.01,fontproperties= font)#指定字型和y座標
57 ax2.set_title(u'HW',fontproperties = font,color = 'g',size=20)
58 ax2.set_yticks([20,40,60,80,100])
59 
60 #繪製PK的圖
61 player ['P'] = np.append(player['P'],player['P'][0])
62 ax3.plot(theta,player['P'],'#A020F0')
63 ax3.fill(theta,player['P'],'#A020F0',alpha =0.3 )
64 ax3.set_xticks(theta)#分成六等分
65 ax3.set_xticklabels(ability_labels,y = 0.01,fontproperties= font)#指定字型和y座標
66 ax3.set_title(u'PK',position  = (0.5,1),fontproperties = font,color = '#A020F0',size=20)
67 ax3.set_yticks([20,40,60,80,100])
68 
69 #繪製QH的圖
70 player ['Q'] = np.append(player['Q'],player['Q'][0])
71 ax4.plot(theta,player['Q'],'y')
72 ax4.fill(theta,player['Q'],'y',alpha =0.3 )
73 ax4.set_xticks(theta)#分成六等分
74 ax4.set_xticklabels(ability_labels,y = 0.01,fontproperties= font)#指定字型和y座標
75 ax4.set_title(u'QH',position  = (0.5,1),fontproperties = font,color = 'y',size=20,y=1)
76 ax4.set_yticks([20,40,60,80,100])
77 
78 plt.show()

感謝matplotlib，numply提供的文件，感謝麥子學院提供的視訊教學，感謝百度知道各位回答者的回答

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