1、
2、饼图
(1)
import matplotlib.pyplot as plt labels='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()
(2)
import matplotlib.pyplot as plt labels='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()
3、直方图
(1)
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()
(2)
import matplotlib.pyplot as plt import numpy as np np.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()
4、极坐标图
(1)面向对象绘制极坐标图
import matplotlib.pyplot as plt import numpy as np N=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()
5、散点图
import matplotlib.pyplot as plt import numpy as np fig,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()