matplotlib绘图：1.基本操作

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#learn matpltlibimport matplotlib.pyplot as pltimport numpy as np''' plotting several lines with different format styles in one command using arrays'''def test1():     t=np.arange(0,5,0.2)    plt.plot(t,t,'r--',t,t**2,'bs',t,t**3,'g^')'''create multiple figures by using multiple figure() calls with an increasing figure number. Of course, each figure can contain as many axes and subplots as your heart desires:    '''def f(t):    return np.exp(-t)*np.cos(2*np.pi*t)    def test2():    t1=np.arange(0.0,5.0,0.1)    t2=np.arange(0.0,5.0,0.02)    plt.figure(1)    plt.subplot(211)    plt.plot(t1,f(t1),'bo',t2,f(t2),'k')    plt.xlabel('x')    plt.ylabel('y')    plt.title('figure1-1')    #Annotating text    plt.annotate('local max',xy=(0,1),xytext=(1,0.6),arrowprops                 =dict(facecolor='black',shrink=0.05),)    plt.subplot(212)    plt.plot(t2,np.cos(2*np.pi*t2),'r--')    plt.xlabel('x')    plt.ylabel('y')    plt.title('figure1-2')        plt.figure(2)    plt.subplot(121)    plt.plot([1,2,3],[1,2,3])    plt.xlabel('x')    plt.ylabel('y')    plt.title('figure2-1')    plt.subplot(122)    x=np.arange(0,5,0.1)    plt.plot(x,x**2)    plt.xlabel('x')    plt.ylabel('y')    plt.title('figure2-2')if __name__=="__main__":    test1()    test2()

http://matplotlib.org/users/pyplot_tutorial.html#working-with-multiple-figures-and-axes

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