The matplotlib of Python3 drawing (01)

Source: Internet
Author: User

1 First plots with matplotlibSimple drawing 1 Simple drawing 2 simple drawing 32 Grid = GRID3 Setting axis value range = Axis Xlim Ylim Method 1: Overall Setup [Xmin,xmax, ymin, ymax] = = = Plt.axis ([xmin, xmax, ymin, ymax]) Method 2: Set eachPlt.xlim ([xmin, Xmax])Plt.ylim ([ymin, Ymax])4 Set the coordinate meaning label = label5 Set the overall title of the picture = Title6 Set legend = Legend Method 2:plt.plot (x, x*1.5) plt.plot (x, x*3.0) plt.plot (x, x/3.0) plt.legend ([' Normal ', ' Fast ' , ' Slow ']) the position parameter of the legend: loc = Code
String Code
Best 0
Upper right 1
Upper left 2
Lower left 3
Lower right 4
Right 5
Center left 6
Center Right 7
Lower Center 8
Upper Center 9
Center 10
71 sub-complete image 8 Save picture = Savefig
ImportMatplotlib.pyplot as Pltplt.plot ([1, 2, 3]) Plt.savefig ("Plot123.png") Plt.savefig ('Plot123_2.png', dpi=200)#ImportMatplotlib as mplmpl.rcparams['figure.figsize']mpl.rcparams['savefig.dpi']mpl.reparams['Agg']
9 This summary all code examples
Import Matplotlib.pyplot as Pltplt.plot ([1, 3, 2, 4]) plt.show () import matplotlib.pyplot as Pltx = Range (6) Plt.plot (x, [xi* * * for XI in x]) plt.show () import Matplotlib.pyplot as Pltimport numpy as NPX = Np.arange (0.0, 6.0, 0.01) plt.plot (x, [x**2 For x in X]) plt.show () import Matplotlib.pyplot as Pltimport numpy as NPX = Np.arange (1, 5) plt.plot (x, x*1.5, X, x*3.0, X, x/3.0) Plt.grid (True) plt.show () import Matplotlib.pyplot as Pltimport numpy as NPX = Np.arange (1, 5) plt.plot (x, x*1.5, X, x* 3.0, X, x/3.0) Plt.axis () # shows the range of limit values for the current axis x-> (0.85, 4.15), y-> ( -0.25, 12.58) Plt.axis ([0, 5,-1, 13]) # New range of the current axis  Plt.show () Import Matplotlib.pyplot as Pltplt.plot ([1, 3, 2, 4]) Plt.xlabel (' This was the X axis ') #这个是x轴的标签plt. Ylabel (' This is the Y axis ') #这个是y轴的标签plt. Show () Import Matplotlib.pyplot as Pltplt.plot ([1, 3, 2, 4]) Plt.title (' Simple plot ') # Image title P Lt.show () Import Matplotlib.pyplot as Pltimport numpy as NPX = Np.arange (1, 5) plt.plot (x, x*1.5, label= "Normal") Plt.plot (x , x*3.0, label= "Fast") plt.Plot (x, x/3.0, label= "Slow") Plt.legend () # set legend plt.show () import Matplotlib.pyplot as Pltimport numpy as NPX = Np.arange (1, 5) Plt.plot (x, x*1.5, X, x*3.0, X, x/3.0) Plt.grid (True) plt.title (' Sample growth of a Measure ') Plt.xlabel (' Samples ') Plt.ylabel (' Values measured ') plt.legend ([' Normal ', ' Fast ', ' Slow '], loc = ' upper Left ') plt.show () Import Matplotlib.pyplot as Pltplt.plot ([1, 2, 3]) plt.savefig ("Plot123.png") import matplotlib as mplmpl.rcparams[' Figure.figsize ']mpl.rcparams[' savefig.dpi ']plt.savefig (' plot123_2.png ', dpi=200)

 

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The matplotlib of Python3 drawing (01)

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