Python——matplotlib基础绘图函数示例

import matplotlib.pyplot as pltlabels='frogs','hogs','dogs','logs'%
sizes=[15,30,45,10]
explode=(0,0.1,0,0) %突出30那块plt.pie(sizes,explode,labels=labels,autopct='%1.1f%%',
shadow=False,startangle=90)%尺寸，突出部分，标签，显示数字格式，二维，起始角度
plt.show()

import matplotlib.pyplot as pltlabels='frogs','hogs','dogs','logs'
sizes=[15,30,45,10]
explode=(0,0.1,0,0.1)plt.pie(sizes,explode=explode,labels=labels,autopct='% 1.1f% %',
shadow=True,startangle=45)plt.axis('equal')
plt.show()

np.random.seed(0)
mu,sigma=100,20
a=np.random.normal(mu,sigma,size=100)plt.hist(a,10,normed=1,histtype='stepfilled',
facecolor='b',alpha=1)%原始数据，直方图分块个数，类型，颜色，颜色显示比例plt.title('Histogram')
plt.show()

import matplotlib.pyplot as plt
import numpy as npnp.random.seed(0)
mu,sigma=100,20
a=np.random.normal(mu,sigma,size=100)plt.hist(a,20,normed=1,histtype='stepfilled',
facecolor='b',alpha=1)plt.title('Histogram')
plt.show()

import matplotlib.pyplot as plt
import numpy as npN=20
theta=np.linspace(0,2*np.pi,N,endpoint=False)#均分角度
radii=10*np.random.rand(N)#随机角度
width=np.pi/4*np.random.rand(N)#随机宽度ax=plt.subplot(111,projection='polar')#极坐标图绘制
bars=ax.bar(theta,radii,width=width,bottom=0.0)#哪个角度画，长度，扇形角度,从距离圆心0的地方开始画for r,bar in zip(radii,bars):
bar.set_facecolor(plt.cm.viridis(r/10.0))
bar.set_alpha(0.5) #添加颜色plt.title('polar')
plt.show()

import matplotlib.pyplot as plt
import numpy as npfig,ax=plt.subplots() #建立对象
ax.plot(10*np.random.randn(100),10*np.random.randn(100),'o')#设置对象
ax.set_title("simple scatter")
plt.show()