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pl.legend和plt.legend使用标签label报错

pl.legend和plt.legend使用标签label报错

作者: LuCh1Monster | 来源:发表于2016-03-09 21:58 被阅读2174次
    import matplotlib.pyplot as plt
    import numpy as np
    import pylab as pl
    
    x1=[1,2,3,4,5]
    y1=[1,4,9,16,25]
    
    x2=[1,2,4,6,8]
    y2=[2,4,8,12,16]
    
    plot1=pl.plot(x1, y1, "r")
    plot2=pl.plot(x2,y2,"go")
    
    pl.title("Plot of y vs. x")
    
    pl.xlabel("x axis")
    pl.ylabel("y axis")
    
    pl.xlim(0.0,  9.0)
    pl.ylim(0.0,  30.0)
    
    pl.legend([plot1, plot2],  ("red line", "green circles"), "best", numpoints=1)
    ##pl.legend([plot1, plot2])
    
    pl.show()
    

    结果能显示,但是无法显示标签label。

    figure_1.png

    报错信息:

    Warning (from warnings module):
      File "C:\Python27\lib\site-packages\matplotlib\legend.py", line 613
        (str(orig_handle),))
    UserWarning: Legend does not support [<matplotlib.lines.Line2D object at 0x05B081F0>]
    Use proxy artist instead.
    
    http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist
    
    
    Warning (from warnings module):
      File "C:\Python27\lib\site-packages\matplotlib\legend.py", line 613
        (str(orig_handle),))
    UserWarning: Legend does not support [<matplotlib.lines.Line2D object at 0x05B083D0>]
    Use proxy artist instead.
    
    http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist
    

    =======================================================
    修正代码:

    import matplotlib.pyplot as plt
    import numpy as np
    import pylab as pl
    
    x1=[1,2,3,4,5]
    y1=[1,4,9,16,25]
    
    x2=[1,2,4,6,8]
    y2=[2,4,8,12,16]
    
    plot1, =pl.plot(x1, y1, "r")                  #   这个 ,一定要有,不然legend会报错
    plot2, =pl.plot(x2,y2,"go")
    
    pl.title("Plot of y vs. x")
    
    pl.xlabel("x axis")
    pl.ylabel("y axis")
    
    pl.xlim(0.0,  9.0)
    pl.ylim(0.0,  30.0)
    
    pl.legend([plot1, plot2],  ("red line", "green circles"), "best", numpoints=1)
    ##pl.legend([plot1, plot2])
    
    pl.show()
    
    

    图示:

    figure_2.png

    终于解决了TnT

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