Python matplotlib可视化绘图详解

import matplotlib.pyplot as plt
dataX=[1,2,3,4]
dataY=[2,4,4,2]
plt.plot(dataX,dataY)
plt.title("Draw  straight line")
plt.xlabel("x")
plt.ylabel("y")
plt.show()

import matplotlib.pyplot as plt
dataX=[0,1,2,3,4,5]
dataY=[1,2,3,2,4,3]
plt.bar(dataX,dataY)
plt.title("Draw Histogram")
plt.xlabel("x")
plt.ylabel("y")
plt.show()

import matplotlib.pyplot as plt
import numpy as np
x=np.arange(10)
y=np.random.randint(0,20,10)
plt.bar(x,y)
plt.show()

import matplotlib.pyplot as plt
import numpy as np
mean,sigma=0,1
x=mean + sigma *np.random.randn(10000)
plt.hist(x,50,histtype='bar',facecolor='red',alpha=0.75)
plt.show()

import matplotlib.pyplot as plt
import numpy as np
x=np.random.rand(100)
y=np.random.rand(100)
plt.scatter(x,y)
plt.show()

import matplotlib.pyplot as plt
import numpy as np
theta=np.arange(0,2*np.pi,0.02)
ax1=plt.subplot(121,projection='polar')
ax1.plot(theta,theta/6,'--',lw=2)
plt.show()

import matplotlib.pyplot as plt
import numpy as np
plt.title("Pie")
labels='Math','Computer','Music','Art'
sizes=[45,30,15,10]
explode=(0,0.0,0,0)
counterclock=False
plt.pie(sizes,explode=explode,labels=labels,autopct='%1.1f%%',shadow=False,startangle=90)
plt.show()