matplotlib例項筆記

下面的圖型是在一幅畫布上建立的四個球員相關資料的極座標圖

關於這個圖的**如下：

1

#_*_coding:utf-8_*_
2import
numpy as np
3import
matplotlib.pyplot as plt
4from matplotlib.font_manager import
fontproperties
5 plt.style.use('
ggplot')
67 font=fontproperties(fname=r'
c:\windows\fonts\simsun.ttc
',size=12)8#
本行是為了有效顯示中文的字型與大小
910 ability_size=6
11 ability_label=['
進攻','
防守','
盤帶','
速度','
體力','射術'
]1213#
建立每個極座標的位置
14 ax1=plt.subplot(221,projection='
polar')
15 ax2=plt.subplot(222,projection='
polar')
16 ax3=plt.subplot(223,projection='
polar')
17 ax4=plt.subplot(224,projection='
polar')
1819 player=
2526 theta=np.linspace(0,2*np.pi,6,endpoint=false)
2829
#下面分別畫四個球員的能力極座標圖
30 player['mm
'],player['m'
][0])
31 ax1.plot(theta,player['
m'],'r'
)32 ax1.fill(theta,player['
m'],'
r',alpha=0.3)
33ax1.set_xticks(theta)
34 ax1.set_xticklabels(ability_label,fontproperties=font)
35 ax1.set_title('
梅西',fontproperties=font,color='
r',size=20)
36 ax1.set_yticks([20,40,60,80,100])
3738 player['hh
'],player['h'
][0])
39 ax2.plot(theta,player['
h'],'g'
)40 ax2.fill(theta,player['
h'],'
g',alpha=0.3)
41ax2.set_xticks(theta)
42 ax2.set_xticklabels(ability_label,fontproperties=font)
43 ax2.set_title('
哈維',fontproperties=font,color='
g',size=20)
44 ax2.set_yticks([20,40,60,80,100])
4546 player['pp
'],player['p'
][0])
47 ax3.plot(theta,player['
p'],'b'
)48 ax3.fill(theta,player['
p'],'
b',alpha=0.3)
49ax3.set_xticks(theta)
50 ax3.set_xticklabels(ability_label,fontproperties=font)
51 ax3.set_title('
皮克',fontproperties=font,color='
b',size=20)
52 ax3.set_yticks([20,40,60,80,100])
5354 player['qq
'],player['q'
][0])
55 ax4.plot(theta,player['
q'],'y'
)56 ax4.fill(theta,player['
q'],'
y',alpha=0.3)
57ax4.set_xticks(theta)
58 ax4.set_xticklabels(ability_label,fontproperties=font)
59 ax4.set_title('
切赫',fontproperties=font,color='
y',size=20)
60 ax4.set_yticks([20,40,60,80,100])
6162 plt.show()

1

#_*_coding:utf-8_*_
2import
numpy as np
3import
matplotlib.pyplot as plt
4from matplotlib.font_manager import
fontproperties
5 plt.style.use('
ggplot')
67 font=fontproperties(fname=r'
c:\windows\fonts\simsun.ttc
',size=12)
89 ability_size=6
10 ability_label=['
進攻','
防守','
盤帶','
速度','
體力','射術'
]1112 ax1=plt.subplot(221,projection='
polar')
13 ax2=plt.subplot(222,projection='
polar')
14 ax3=plt.subplot(223,projection='
polar')
15 ax4=plt.subplot(224,projection='
polar')
1617 player=
2324 theta=np.linspace(0,2*np.pi,6,endpoint=false)
2627 color4=['
r','
b','
g','y'
]28 player4=['
m','
h','
p','q'
]29 ax=[ax1,ax2,ax3,ax4]
30 name=['
梅西','
哈維','
皮克','切赫'
]31for i in range(4):
33ax[i].plot(theta,player[player4[i]],color4[i])
34 ax[i].fill(theta,player[player4[i]],color4[i],alpha=0.3)
35ax[i].set_xticks(theta)
36 ax[i].set_xticklabels(ability_label,fontproperties=font)
37 ax[i].set_title(name[i],fontproperties=font,color=color4[i],size=20)
38 ax[i].set_yticks([20,40,60,80,100])
3940 plt.show()

Matplotlib學習筆記

在最開始接觸python科學計算的時候，就知道了matplotlib這個繪相簿。個人是比較喜歡這種視覺化的工具，照我看，gui這種理念幾乎是劃時代的。如果說numpy是用來處理資料，那麼matplotlib就是用來展示資料的，抽象的資料，以圖表的形式展示出來，無論是對自己，還是對看到的人，接受起來都...

Matplotlib學習筆記（三）

import matplotlib.pyplot as plt import numpy as np x np.linspace 3,3,50 y 2 x 1 plt.figure num 1,figsize 8,5 plt.plot x,y ax plt.gca ax.spines right s...

Matplotlib學習筆記（四）

import matplotlib.pyplot as plt import numpy as np n 1024 x np.random.normal 0,1,n y np.random.normal 0,1,n t np.arctan2 y,x for color value plt.scatt...