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和折线图类似，通用部分可查看折线图

1 饼图

饼图主要是看占比，最好是2-6类

import matplotlib.pyplot as plt
from matplotlib import rcParams
# Windows自带的黑体
rcParams['font.family'] = 'SimHei'
# 创建图表，设置大小
plt.figure(figsize = (10,5)) things = ['学习','娱乐','运动','睡觉','其他']times = [6,4,1,8,5]plt.pie(times,labels = things)
# 显示图表
plt.show()

添加标题

plt.title("一天的时间分布",color = 'red',fontsize = 20)

显示百分比占比

plt.pie(times,labels = things,autopct = '%1.1f%%')

设置颜色

colors = ["#66b3ff","#99ff99","#ffcc99","#ff9999","#ff4499"]plt.pie(times,labels = things,autopct = '%1.1f%%',colors = colors)

2 环形图

在上面饼图的基础上添加wedgeprops即可

plt.pie(times,labels = things,autopct = '%1.1f%%',colors = colors,wedgeprops = {'width' : 0.6})

设置百分比数字到圆心的距离

plt.pie(times,labels = things,autopct = '%1.1f%%',colors = colors,wedgeprops = {'width' : 0.6},pctdistance = 0.7)

3 爆炸式饼图

在饼图的基础上修改

import matplotlib.pyplot as plt
from matplotlib import rcParams
# Windows自带的黑体
rcParams['font.family'] = 'SimHei'
# 创建图表，设置大小
plt.figure(figsize = (10,5)) things = ['学习','娱乐','运动','睡觉','其他']times = [6,4,1,8,5]colors = ["#66b3ff","#99ff99","#ffcc99","#ff9999","#ff4499"]plt.pie(times,labels = things,autopct = '%1.1f%%',colors = colors)plt.title("一天的时间分布",color = 'red',fontsize = 20)# 显示图表
plt.show()

设置突出块的位置

explode = [0.2,0,0,0,0]
plt.pie(times,labels = things,autopct = '&.1f%%',colors = colors,explode = explode)

设置阴影

plt.pie(times,labels = things,autopct = '&.1f%%',colors = colors,explode = explode,shadow = True)