50, matplotlib Picture Illustration example

1. appeased diagram

ImportMatplotlib.pyplot as Plt>>> labels ='Frogs','Hogs','Dogs','logs'>>> sizes = 15,20,45,10>>> Colors ='Yellowgreen','Gold','Lightskyblue','lightcoral'>>> explode = 0,0.1, 0,0>>>plt.pie (sizes,explode=explode,labels=labels,colors=colors,autopct='%1.1f%%', shadow=true,startangle=50)>>> Plt.axis ('Equal')(-1.2182175697473243, 1.11360285857795,-1.1087559272917165, 1.1164320127364205)>>> Plt.show ()

Determining the Coordinate range

>>>ImportNumPy as NP>>>ImportMatplotlib.pyplot as Plt>>> fromPylabImport*>>> x = Np.arange ( -5.0,5.0,0.02)>>> y1 =np.sin (x)>>> Plt.figure (1)<matplotlib.figure.figure object at 0x000002364f153128>>>> Plt.subplot (211)<matplotlib.axes._subplots. Axessubplot Object at 0x000002364b86ce80>>>>Plt.plot (x,y1) [<matplotlib.lines.line2d Object at 0x000002365002db00>]>>> Plt.subplot (212)<matplotlib.axes._subplots. Axessubplot object at 0x000002364d73c320>>>> Xlim ( -2.5,2.5)(-2.5, 2.5)>>> Ylim ( -1,1)(-1, 1)>>>Plt.plot (x,y1) [<matplotlib.lines.line2d Object at 0x000002364d839f28>]>>> Plt.show ()

Overlay chart

Import NumPy as NP Import Matplotlib.pyplot as plt>>> t = np.arange (0.,5.,0.2)>>> plt.plot (t,t,' r-- ', t,t**2,'bs', t,t**3,'g') [ <matplotlib.lines.line2d object at 0x00000236519f9710>, <matplotlib.lines.line2d object at 0x00000236519f99b0>, <matplotlib.lines.line2d object at 0x0000023651a00240>]>>> Plt.show ()

Plt.figure ()

>>>ImportMatplotlib.pyplot as Plt>>> Plt.figure (1)<matplotlib.figure.figure object at 0x0000023650018ba8>>>> Plt.subplot (211)<matplotlib.axes._subplots. Axessubplot object at 0x0000023650018ef0>>>> plt.plot ([a])[<matplotlib.lines.line2d Object at 0x00000236536810f0>]>>> Plt.subplot (212)<matplotlib.axes._subplots. Axessubplot object at 0x000002364cfc1278>>>> plt.plot ([4,5,6])[<matplotlib.lines.line2d Object at 0x00000236536fa208>]>>> Plt.figure (2)<matplotlib.figure.figure object at 0x00000236536c4128>>>> plt.plot ([4,5,6])[<matplotlib.lines.line2d Object at 0x0000023653748588>]>>> Plt.figure (1)<matplotlib.figure.figure object at 0x0000023650018ba8>>>> Plt.subplot (211)<matplotlib.axes._subplots. Axessubplot object at 0x0000023650018ef0>>>> plt.title (' Easy AS')<matplotlib.text.text object at 0x0000023653660278>>>> plt.show ()

Plt.text () Add text description

>>>ImportNumPy as NP>>>ImportMatplotlib.pyplot as Plt>>> mu,sigms =100,15>>> mu,sigma = 100,15>>> x = mu+sigma * NP.RANDOM.RANDN (10000)>>> n,bins,patches = plt.hist (x,50,normed=1,facecolor='g', alpha=0.75)>>> Plt.xlabel ('Smarts')<matplotlib.text.text object at 0x000002365371b748>>>> Plt.ylabel ('probability')<matplotlib.text.text object at 0x00000236536c4d30>>>> plt.title ('Histogram of IQ')<matplotlib.text.text object at 0x00000236519cc0f0>>>> plt.text (60,0.25,r'$\mu=100,\ \sigma=15$')<matplotlib.text.text object at 0x0000023651a1a0b8>>>> plt.axis ([40,160,0,0.03])[40, 160, 0, 0.03]>>> Plt.show ()

50, matplotlib Picture Illustration example