5.Matplotlib基础绘图函数

1.概述



2.pyplot饼图的绘制

import matplotlib.pyplot as plt
labels ='Frogs','Hogs','Dogs','Logs'
sizes =[15,30,45,10]
explode=(0,0.1,0,0)
plt.pie(sizes,explode=explode,labels=labels,autopct='%1.1f%%',
        shadow=False,startangle=90)
plt.show()

import matplotlib.pyplot as plt
labels ='Frogs','Hogs','Dogs','Logs'
sizes =[15,30,45,10]
explode=(0,0.1,0,0)
plt.pie(sizes,explode=explode,labels=labels,autopct='%1.1f%%',
        shadow=False,startangle=90)
plt.axis('equal')
plt.show()


3.pyplot直方图的绘制

import matplotlib.pyplot as plt
import numpy as np
np.random.seed(0)
mu,sigma =100,20 #均值和标准差
a =np.random.normal(mu,sigma,size =100)
plt.hist(a,20,normed=1,histtype='stepfilled',
         facecolor ='b',alpha=0.75)
plt.title('Histogram')
plt.show()

4.pyplot极坐标的绘制

import matplotlib.pyplot as plt
import numpy as np
N=20
theta =np.linspace(0.0,2*np.pi,N,endpoint=False)
radii=10*np.random.rand(N)
width =np.pi/4*np.random.rand(N)
ax=plt.subplot(111,projection='polar')
bars =ax.bar(theta,radii,width=width,bottom=0.0)
for r,bar in zip(radii,bars):
    bar.set_facecolor(plt.cm.viridis(r/10.))
    bar.set_alpha(0.5)
plt.show()



5.pyplot散点图的绘制

import matplotlib.pyplot as plt
import numpy as np
fig,ax =plt.subplots()
ax.plot(10*np.random.rand(100),
        10*np.random.randn(100),'o')
ax.set_title('Simple Scatter')
plt.show()


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转载自blog.csdn.net/bxg1065283526/article/details/80142994