python绘制饼图的方法详解

matplotlib.pyplot.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=0, radius=1, counterclock=True, wedgeprops=None, textprops=None, center=(0, 0), frame=False, rotatelabels=False, *, nORMalize=True, data=None)

import numpy as np
import maplotlib.pyplot as plt
x = [1, 2, 3, 4]
plt.pie(x)
plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [1, 2, 3, 4]
plt.subplot(121)
plt.title('正常')
plt.pie(x)
plt.subplot(122)
plt.title('添加explode')
plt.pie(x,explode=[0.1,0.2,0.1,0.2])
plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [15, 30, 45, 10]
plt.subplot(131)
plt.title('正常')
plt.pie(x)
plt.subplot(132)
plt.title('添加labels')
plt.pie(x,labels=['x1','y1','x2','y2'])
# labeldistance默认为是1.1
plt.subplot(133)
plt.title('添加labels和labeldistance')
plt.pie(x,labels=['x1','y1','x2','y2'],labeldistance=1.2)
plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [1, 2, 3, 4]
plt.subplot(121)
plt.title('正常')
plt.pie(x)
# 颜色参数必须保持和x长度一样
plt.subplot(122)
colors = plt.get_cmap('Blues')(np.linspace(0.2,0.7,len(x)))
print(colors)
plt.title('添加colors')
plt.pie(x,colors=colors)
plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [1, 2, 3, 4]
plt.subplot(131)
plt.title('正常')
plt.pie(x)
plt.subplot(132)
plt.title('添加autopct为1.1f')
plt.pie(x,autopct='%1.1f%%')
plt.subplot(133)
plt.title('添加autopct为10.1f')
plt.pie(x,autopct='%10.1f%%')
plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.figsize=((10,8))
plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [1, 2, 3, 4]
plt.subplot(131)
plt.title('正常')
plt.pie(x)
plt.subplot(132)
plt.title('添加pctdistance默认值0.6')
plt.pie(x,autopct='%1.1f%%',pctdistance=0.6)
plt.subplot(133)
plt.title('添加pctdistance值1.5')
plt.pie(x,autopct='%1.1f%%',pctdistance=0.8)
plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [15, 30, 45, 10]
plt.subplot(121)
plt.title('正常')
plt.pie(x)
plt.subplot(122)
plt.title('添加shadow')
plt.pie(x,explode=(0,0,0.1,0),shadow=True)

plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [15, 30, 45, 10]
plt.subplot(121)
plt.title('正常')
plt.pie(x,autopct='%1.1f%%')
# 起始角度设置
plt.subplot(122)
plt.title('设置startangle=90')
plt.pie(x,autopct='%1.1f%%',startangle=90)

plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [15, 30, 45, 10]
plt.subplot(121)
plt.title('正常')
plt.pie(x,autopct='%1.1f%%')
plt.subplot(122)
plt.title('设置radius=0.9')
plt.pie(x,autopct='%1.1f%%',radius=0.9)

plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [15, 30, 45, 10]
plt.subplot(121)
plt.title('正常')
plt.pie(x,autopct='%1.1f%%')
plt.subplot(122)
plt.title('设置counterclock=False')
plt.pie(x,autopct='%1.1f%%',counterclock=False)
plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [15, 30, 45, 10]
plt.subplot(121)
plt.title('正常')
plt.pie(x,autopct='%1.1f%%')
plt.subplot(122)
plt.title('设置wedgeprops楔形的属性')
plt.pie(x,autopct='%1.1f%%',wedgeprops=dict(width=0.3, edgecolor='blue'))

plt.show()

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['axes.unicode_minus']=False
x = [15, 30, 45, 10]
plt.subplot(131)
plt.title('正常')
plt.pie(x,autopct='%1.1f%%')
plt.subplot(132)
plt.title('设置textprops,center=1.1,frame')
plt.pie(x,autopct='%1.1f%%',textprops={'size': 'larger'},center=(1,1),frame=True)

plt.subplot(133)
plt.title('设置textprops,center=2.2,frame')
plt.pie(x,autopct='%1.1f%%',textprops={'size': 'x-large'},center=(2,2),frame=True)

plt.show()

import matplotlib.pyplot as plt
from matplotlib.patches import ConnectionPatch
import numpy as np
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(9, 5))
fig.subplots_adjust(wspace=0)
ratiOS = [.27, .56, .17]
labels = ['Approve', 'Disapprove', 'Undecided']
explode = [0.1, 0, 0]
angle = -180 * ratios[0]
ax1.pie(ratios, autopct='%1.1f%%', startangle=angle,
        labels=labels, explode=explode)
xpos = 0
bottom = 0
ratios = [.33, .54, .07, .06]
width = .2
colors = [[.1, .3, .5], [.1, .3, .3], [.1, .3, .7], [.1, .3, .9]]
for j in range(len(ratios)):
    height = ratios[j]
    ax2.bar(xpos, height, width, bottom=bottom, color=colors[j])
    ypos = bottom + ax2.patches[j].get_height() / 2
    bottom += height
    ax2.text(xpos, ypos, "%d%%" % (ax2.patches[j].get_height() * 100),
             ha='center')
ax2.set_title('Age of approvers')
ax2.legend(('50-65', 'Over 65', '35-49', 'Under 35'))
ax2.axis('off')
ax2.set_xlim(- 2.5 * width, 2.5 * width)

theta1, theta2 = ax1.patches[0].theta1, ax1.patches[0].theta2
center, r = ax1.patches[0].center, ax1.patches[0].r
bar_height = sum([item.get_height() for item in ax2.patches])
# draw top connecting line
x = r * np.cos(np.pi / 180 * theta2) + center[0]
y = r * np.sin(np.pi / 180 * theta2) + center[1]
con = ConnectionPatch(xyA=(-width / 2, bar_height), coordsA=ax2.transData,
                      xyB=(x, y), coordsB=ax1.transData)
con.set_color([0, 0, 0])
con.set_linewidth(4)
ax2.add_artist(con)
# draw bottom connecting line
x = r * np.cos(np.pi / 180 * theta1) + center[0]
y = r * np.sin(np.pi / 180 * theta1) + center[1]
con = ConnectionPatch(xyA=(-width / 2, 0), coordsA=ax2.transData,
                      xyB=(x, y), coordsB=ax1.transData)
con.set_color([0, 0, 0])
ax2.add_artist(con)
con.set_linewidth(4)
plt.show()

import numpy as np
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
size = 0.3
vals = np.array([[60., 32.], [37., 40.], [29., 10.]])
cmap = plt.cm.Set1
outer_colors = cmap(np.arange(3)*4)
inner_colors = cmap([1, 2, 5, 6, 9, 10])
ax.pie(vals.sum(axis=1), radius=1, colors=outer_colors,
       wedgeprops=dict(width=size, edgecolor='w'))
ax.pie(vals.flatten(), radius=1-size, colors=inner_colors,
       wedgeprops=dict(width=size, edgecolor='w'))
ax.set(aspect="equal", title='Pie plot with `ax.pie`')
plt.show()