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python用matplotlib画图
1. 折线图：
import matplotlib.pyplot as plt
y1=[10,13,5,40,30,60,70,12,55,25]
x1=range(0,10)
x2=range(0,10)
y2=[5,8,0,30,20,40,50,10,40,15]
plt.plot(x1,y1,label='Frist line',linewidth=3,color='r',marker='o',
markerfacecolor='blue',markersize=12)
plt.plot(x2,y2,label='second line')
plt.xlabel('Plot Number')
plt.ylabel('Important var')
plt.title('Interesting Graph\nCheck it out')
plt.legend()
plt.show() 
2. 条形图
import matplotlib.pyplot as plt
y1=[10,13,5,40,30,60,70,12,55,25]
x1=range(0,20,2)
x2=range(1,21,2)
y2=[5,8,0,30,20,40,50,10,40,15]
plt.bar(x1,y1,label='Frist line')
#plt.bar(x2,y2,label='second line',color='r')
plt.xlabel('Plot Number')
plt.ylabel('Important var')
plt.title('Interesting Graph\nCheck it out')
plt.legend()
plt.show()
3. 直方图：
import matplotlib.pyplot as plt
population_ages = [22,55,62,45,21,22,34,42,42,4,99,102,110,120,121,122,130,111,115,112,80,75,65,54,44,43,42,48]
x=range(0,130,10)
plt.hist(population_ages,x,rwidth=0.8,color='r',histtype='stepfilled')plt.xlabel('Plot Number')
plt.ylabel('Important var')
plt.title('Interesting Graph\nCheck it out')
plt.legend()
plt.show()
4. 散点图：
import matplotlib.pyplot as plt
population_ages = [22,55,62,45,21,22,34,42,42,4,99,102,110,120,121,122,130,111,115,112,80,75,65,54,44,43,42,48]
x=range(0,len(population_ages))
plt.scatter(x,population_ages,label='frist label',s=20)
help(plt.scatter)
plt.xlabel('x')
plt.ylabel('y')
plt.title('Interesting Graph\nCheck it out')
plt.legend()
plt.show()
5. 饼图：
import matplotlib.pyplot as plt######################### 饼图
''''
# 参数：各部分数据列表
def cakeplot(fracs,service_id):labels = ['noResult','lessResult','normal']plt.axes(aspect=1)explode = [0.1,0.05,0]plt.pie(x=fracs,labels=labels,autopct='%.2f%%',explode=explode)plt.xlabel("service_id = "+str(service_id))plt.show()result = [1655,66546,19384153]
cakeplot(result,service_id)
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