?

import numpy as np import matplotlib.pyplot as plt labels ='A','B','C','D' fraces = [15,30,45,10] plt.pie(x=fraces,labels= labels) plt.show()

?

橢圓變標準圓??plt.axes(aspect=1)

?

import numpy as np import matplotlib.pyplot as plt labels ='A','B','C','D' fraces = [15,30,45,10] plt.axes(aspect=1) plt.pie(x=fraces,labels= labels) plt.show()

在圖上顯示所占份額autopct='%0f%%'

import numpy as np import matplotlib.pyplot as plt labels ='A','B','C','D' fraces = [15,30,45,10] plt.axes(aspect=1) plt.pie(x=fraces,labels= labels,autopct='%0f%%') plt.show()

突出重點，分離某一塊explode= explode

import numpy as np import matplotlib.pyplot as plt labels ='A','B','C','D' fraces = [15,30,45,10] explode = [0,0.5,0,0] plt.axes(aspect=1) plt.pie(x=fraces,labels= labels,autopct='%0f%%',explode= explode) plt.show()

實現立體感 有陰影?shadow=True

import numpy as np import matplotlib.pyplot as plt labels ='A','B','C','D' fraces = [15,30,45,10] explode = [0,0.1,0,0] plt.axes(aspect=1) plt.pie(x=fraces,labels= labels,autopct='%0f%%',explode= explode,shadow=True) plt.show()

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