Hi Tony, > Unfortunately, I think the preferred method is to create a proxy artist: > > http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist > > Basically, you draw a fake patch with the same parameters as your fill (see > example below). > > Hope that helps,
Yes, that helps. I also found another simple way using matplotlib.pyplot.bar() === import numpy as np import matplotlib.pyplot as plt x = np.array([1,2]) data = np.array([10,8]) err = np.array([2,1]) b1 = plt.bar(x-.2,2*err,0.4,color='b',bottom=data - err,alpha=0.3) plt.legend([b1[0]], ['nice legend graphic'],shadow=True,fancybox=True,numpoints=1) plt.axis([0,3,0,15]) plt.show() === Thanks, Andre ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
